Data: Density estimates for Canada lynx vary among estimation methods
Unbiased population density estimates are critical for ecological research and wildlife management but are often difficult to obtain. Researchers use a variety of sampling and statistical methods to generate estimates of density, but few studies have compared estimates across methods. During 2016-17...
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Knowledge Network for Biocomplexity
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dataone:urn:uuid:18abd422-6632-47dc-a59f-55e66dbeb3f7 2023-11-08T14:15:00+01:00 Data: Density estimates for Canada lynx vary among estimation methods Darcy Doran-Myers Kluane region in Southwestern Yukon ENVELOPE(-138.3,-137.67,61.08,60.75) BEGINDATE: 2016-01-01T00:00:00Z ENDDATE: 2017-01-01T00:00:00Z 2021-01-01T00:00:00Z https://search.dataone.org/view/urn:uuid:18abd422-6632-47dc-a59f-55e66dbeb3f7 unknown Knowledge Network for Biocomplexity Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon Lynx canadensis canadensis Dataset 2021 dataone:urn:node:KNB 2023-11-08T13:47:12Z Unbiased population density estimates are critical for ecological research and wildlife management but are often difficult to obtain. Researchers use a variety of sampling and statistical methods to generate estimates of density, but few studies have compared estimates across methods. During 2016-17, we surveyed Canada lynx (Lynx canadensis) in southwestern Yukon Territory, Canada using track transect counts, hair snares, camera traps, live traps, and Global Positioning System (GPS) collars. From these data, we estimated lynx density with 2 linearly-scaled count methods, 1 spatial mark-recapture method, 3 spatial mark-resight methods, and 1 cumulative-time method. We found up to 5-fold variation in point density estimates despite adhering to method requirements and assumptions in a manner consistent with other studies. Our results highlight the dependency of density estimates on sampling process and model assumptions and demonstrate the value of careful and unbiased sampling design. Further research is needed to fully assess the accuracy and limitations of the many wildlife density estimation methods that are currently in use so that techniques can be appropriately applied to typical study systems and species. Dataset Lynx Yukon Knowledge Network for Biocomplexity (via DataONE) Yukon Canada ENVELOPE(-138.3,-137.67,61.08,60.75) |
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Open Polar |
collection |
Knowledge Network for Biocomplexity (via DataONE) |
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dataone:urn:node:KNB |
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unknown |
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Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon Lynx canadensis canadensis |
spellingShingle |
Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon Lynx canadensis canadensis Darcy Doran-Myers Data: Density estimates for Canada lynx vary among estimation methods |
topic_facet |
Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon Lynx canadensis canadensis |
description |
Unbiased population density estimates are critical for ecological research and wildlife management but are often difficult to obtain. Researchers use a variety of sampling and statistical methods to generate estimates of density, but few studies have compared estimates across methods. During 2016-17, we surveyed Canada lynx (Lynx canadensis) in southwestern Yukon Territory, Canada using track transect counts, hair snares, camera traps, live traps, and Global Positioning System (GPS) collars. From these data, we estimated lynx density with 2 linearly-scaled count methods, 1 spatial mark-recapture method, 3 spatial mark-resight methods, and 1 cumulative-time method. We found up to 5-fold variation in point density estimates despite adhering to method requirements and assumptions in a manner consistent with other studies. Our results highlight the dependency of density estimates on sampling process and model assumptions and demonstrate the value of careful and unbiased sampling design. Further research is needed to fully assess the accuracy and limitations of the many wildlife density estimation methods that are currently in use so that techniques can be appropriately applied to typical study systems and species. |
format |
Dataset |
author |
Darcy Doran-Myers |
author_facet |
Darcy Doran-Myers |
author_sort |
Darcy Doran-Myers |
title |
Data: Density estimates for Canada lynx vary among estimation methods |
title_short |
Data: Density estimates for Canada lynx vary among estimation methods |
title_full |
Data: Density estimates for Canada lynx vary among estimation methods |
title_fullStr |
Data: Density estimates for Canada lynx vary among estimation methods |
title_full_unstemmed |
Data: Density estimates for Canada lynx vary among estimation methods |
title_sort |
data: density estimates for canada lynx vary among estimation methods |
publisher |
Knowledge Network for Biocomplexity |
publishDate |
2021 |
url |
https://search.dataone.org/view/urn:uuid:18abd422-6632-47dc-a59f-55e66dbeb3f7 |
op_coverage |
Kluane region in Southwestern Yukon ENVELOPE(-138.3,-137.67,61.08,60.75) BEGINDATE: 2016-01-01T00:00:00Z ENDDATE: 2017-01-01T00:00:00Z |
long_lat |
ENVELOPE(-138.3,-137.67,61.08,60.75) |
geographic |
Yukon Canada |
geographic_facet |
Yukon Canada |
genre |
Lynx Yukon |
genre_facet |
Lynx Yukon |
_version_ |
1782011896544624640 |