Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><DIV><P><SPAN>Data on birds at sea were collected by specially trained observers and using distance sampling (Buckland et al 2001). Bird detections were recorded along a 300 m wide transect on one side of the vessel, indicating the distance interval in which they were 0-50 m, 50-100 m, 100-200m, or 200-300 m from the observer. For more details, see Gjerdrum et al. (2012), Bolduc and Desbiens (2010), and Bolduc and Fifield (2017).</SPAN></P><P><SPAN>https://publications.gc.ca/collections/collection_2012/ec/CW69-5-515-eng.pdf</SPAN></P></DIV></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data on birds at sea were collected by specially trained observers and using distance sampling (Buckland et al 2001). Bird detections were recorded along a 300 m wide transect on one side of the vessel, indicating the distance interval in which they were 0-50 m, 50-100 m, 100-200m, or 200-300 m from the observer. For more details, see Gjerdrum et al. (2012), Bolduc and Desbiens (2010), and Bolduc and Fifield (2017).</SPAN></P><P><SPAN>https://publications.gc.ca/collections/collection_2012/ec/CW69-5-515-eng.pdf</SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data on birds at sea were collected by specially trained observers and using distance sampling (Buckland et al 2001). Bird detections were recorded along a 300 m wide transect on one side of the vessel, indicating the distance interval in which they were 0-50 m, 50-100 m, 100-200m, or 200-300 m from the observer. For more details, see Gjerdrum et al. (2012), Bolduc and Desbiens (2010), and Bolduc and Fifield (2017).</SPAN></P><P><SPAN>https://publications.gc.ca/collections/collection_2012/ec/CW69-5-515-eng.pdf</SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data on birds at sea were collected by specially trained observers and using distance sampling (Buckland et al 2001). Bird detections were recorded along a 300 m wide transect on one side of the vessel, indicating the distance interval in which they were 0-50 m, 50-100 m, 100-200m, or 200-300 m from the observer. For more details, see Gjerdrum et al. (2012), Bolduc and Desbiens (2010), and Bolduc and Fifield (2017).</SPAN></P><P><SPAN>https://publications.gc.ca/collections/collection_2012/ec/CW69-5-515-eng.pdf</SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: All species - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Alcids - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Gulls - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Jaegers - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Phalaropes - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Shearwaters - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Storm-Petrels - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Terns - Density by taxonomic groups - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Density by taxonomic groups - August to November
Display Field:
Type: Group Layer
Geometry Type: null
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: All species - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Alcids - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Gulls - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Jaegers - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Phalaropes - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Shearwaters - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Skuas - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Storm-Petrels - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Terns - Density by taxonomic groups - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Density by taxonomic groups - December to March
Display Field:
Type: Group Layer
Geometry Type: null
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: All species - Density by taxonomic groups - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Alcids - Density by taxonomic groups - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Gulls - Density by taxonomic groups - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Shearwaters - Density by taxonomic groups - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Storm-Petrels - Density by taxonomic groups - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each taxonomic groups by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P STYLE="margin:0 0 0 0;"><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>The density maps present average seabird densities </SPAN><SPAN>a</SPAN><SPAN>nd their percent coefficient of variation per 100km hexagonal cells</SPAN><SPAN>.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Black Guillemot - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Thick-billed Murre - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Murre - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Atlantic Puffin - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Dovekie - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Razorbill - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Ring-billed Gull - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Iceland Gull - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Herring Gull - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Glaucous Gull - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Black-backed Gull - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Black-legged Kittiwake - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Long-tailed Jaeger - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Pomarine Jaeger - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Red Phalarope - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Cory s Shearwater - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Manx Shearwater - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Sooty Shearwater - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Shearwater - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Leach s Storm-Petrel - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Wilson s Storm Petrel - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Gannet - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Fulmar - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Tern - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Red-throated Loon - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Loon - Density by species - April to July
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P STYLE="margin:0 0 0 0;"><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>The density maps present average seabird densities </SPAN><SPAN>a</SPAN><SPAN>nd their percent coefficient of variation per 100km hexagonal cells</SPAN><SPAN>.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV></DIV>
Copyright Text: Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada)
Name: Black Guillemot - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Thick-billed Murre - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Murre - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Atlantic Puffin - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Dovekie - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Razorbill - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Ring-billed Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Iceland Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Herring Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Glaucous Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Black-backed Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Bonaparte s Gull - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Black-legged Kittiwake - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Pomarine Jaeger - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Red-necked phalarope - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Red Phalarope - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Cory s Shearwater - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Manx Shearwater - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Sooty Shearwater - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Shearwater - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Leach s Storm-Petrel - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Wilson s Storm Petrel - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Gannet - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Fulmar - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Loon - Density by species - August to November
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P STYLE="margin:0 0 0 0;"><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>The density maps present average seabird densities </SPAN><SPAN>a</SPAN><SPAN>nd their percent coefficient of variation per 100km hexagonal cells</SPAN><SPAN>.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV></DIV>
Copyright Text: Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada)
Name: Thick-billed Murre - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Common Murre - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Atlantic Puffin - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Dovekie - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Iceland Gull - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Herring Gull - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Glaucous Gull - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Black-backed Gull - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Black-legged Kittiwake - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Great Shearwater - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Gannet - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.
Name: Northern Fulmar - Density by species - December to March
Display Field: Group_Spec
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The atlas provides maps and datasets representing seabirds at-sea densities in eastern Canada. Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify at the species level.</SPAN></P><P><SPAN>The density maps present average seabird densities and their percent coefficient of variation per 100km hexagonal cells.</SPAN></P><P><SPAN>One map was created for each species by periods. Seabird densities were classified using a k-means scheme to ensure areas with the highest densities always clearly standup on each map. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Environment and Climate Change Canada Canadian Wildlife Service (2022) Atlas of Seabirds at Sea in Eastern Canada.