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...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
KNB Data Repository
2021
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5063/7p8wt2 https://knb.ecoinformatics.org/view/doi:10.5063/7P8WT2 |
id |
ftdatacite:10.5063/7p8wt2 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5063/7p8wt2 2023-05-15T18:50:26+02:00 Data: Density estimates for Canada lynx vary among estimation methods Doran-Myers, Darcy 2021 text/xml https://dx.doi.org/10.5063/7p8wt2 https://knb.ecoinformatics.org/view/doi:10.5063/7P8WT2 en eng KNB Data Repository Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon dataset Dataset 2021 ftdatacite https://doi.org/10.5063/7p8wt2 2021-11-05T12:55:41Z 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 DataCite Metadata Store (German National Library of Science and Technology) Canada Yukon |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon |
spellingShingle |
Camera trap density estimation DNA Lynx canadensis mark-recapture mark-resight REM REST SECR SMR SCR Yukon Doran-Myers, Darcy 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 |
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 |
Doran-Myers, Darcy |
author_facet |
Doran-Myers, Darcy |
author_sort |
Doran-Myers, Darcy |
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 |
KNB Data Repository |
publishDate |
2021 |
url |
https://dx.doi.org/10.5063/7p8wt2 https://knb.ecoinformatics.org/view/doi:10.5063/7P8WT2 |
geographic |
Canada Yukon |
geographic_facet |
Canada Yukon |
genre |
Lynx Yukon |
genre_facet |
Lynx Yukon |
op_doi |
https://doi.org/10.5063/7p8wt2 |
_version_ |
1766244173156974592 |