Density estimation for small mammals from livetrapping grids: rodents in northern Canada
Management agencies and quantitative ecologists need robust estimates of population density. The best way of converting population estimates of livetrapped small mammals to population density is not clear. We estimated population density on livetrapping grids with 4 estimators applied to 3 species o...
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fthighwire:oai:open-archive.highwire.org:jmammal:92/5/974 2023-05-15T16:34:37+02:00 Density estimation for small mammals from livetrapping grids: rodents in northern Canada Krebs, Charles J. Boonstra, Rudy Gilbert, Scott Reid, Donald Kenney, Alice J. Hofer, Elizabeth J. 2011-10-14 00:00:00.0 text/html http://jmammal.oxfordjournals.org/cgi/content/short/92/5/974 https://doi.org/10.1644/10-MAMM-A-313.1 en eng Oxford University Press http://jmammal.oxfordjournals.org/cgi/content/short/92/5/974 http://dx.doi.org/10.1644/10-MAMM-A-313.1 Copyright (C) 2011, Oxford University Press Feature Articles TEXT 2011 fthighwire https://doi.org/10.1644/10-MAMM-A-313.1 2016-11-16T18:53:02Z Management agencies and quantitative ecologists need robust estimates of population density. The best way of converting population estimates of livetrapped small mammals to population density is not clear. We estimated population density on livetrapping grids with 4 estimators applied to 3 species of boreal forest and 3 species of tundra rodents to test for relative differences in density estimators. We used 2 spatial estimators proposed by Efford (2009) and 2 traditional boundary-strip estimators designed for grid livetrapping. We, analyzed mark-recapture data from 104 trapping sessions from the boreal forest at Kluane, Yukon ( n = 4,818 individuals), and 56 trapping sessions from tundra areas of Herschel Island and Komakuk Beach in northern Yukon ( n = 1,327 individuals). For boreal forest rodents on average both boundary-strip methods produced density estimates larger than Efford's maximum-likelihood (ML) estimator by as much as 50% at all population densities up to 25 animals/ha. For tundra rodents both boundary-strip methods produced density estimates smaller than Efford's ML at low density (<1.5/ha) and larger than Efford's ML density by 36–63% at high density (25/ha). Efford's inverse prediction estimator produced larger density estimates than the ML estimator by 4% for the boreal forest and 32% for the tundra rodents. Relationships were high between all the estimators, such that trends in density could be inferred from all methods. Determining the bias in population density estimators in small mammals will require data from populations spatially closed and completely enumerated. For our small mammals Efford's ML estimator typically provided density estimates smaller than those produced by conventional boundary-strip estimators. Text Herschel Herschel Island Tundra Yukon HighWire Press (Stanford University) Yukon Canada Herschel Island ENVELOPE(-139.089,-139.089,69.583,69.583) Komakuk Beach ENVELOPE(-140.157,-140.157,69.601,69.601) Journal of Mammalogy 92 5 974 981 |
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HighWire Press (Stanford University) |
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English |
topic |
Feature Articles |
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Feature Articles Krebs, Charles J. Boonstra, Rudy Gilbert, Scott Reid, Donald Kenney, Alice J. Hofer, Elizabeth J. Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
topic_facet |
Feature Articles |
description |
Management agencies and quantitative ecologists need robust estimates of population density. The best way of converting population estimates of livetrapped small mammals to population density is not clear. We estimated population density on livetrapping grids with 4 estimators applied to 3 species of boreal forest and 3 species of tundra rodents to test for relative differences in density estimators. We used 2 spatial estimators proposed by Efford (2009) and 2 traditional boundary-strip estimators designed for grid livetrapping. We, analyzed mark-recapture data from 104 trapping sessions from the boreal forest at Kluane, Yukon ( n = 4,818 individuals), and 56 trapping sessions from tundra areas of Herschel Island and Komakuk Beach in northern Yukon ( n = 1,327 individuals). For boreal forest rodents on average both boundary-strip methods produced density estimates larger than Efford's maximum-likelihood (ML) estimator by as much as 50% at all population densities up to 25 animals/ha. For tundra rodents both boundary-strip methods produced density estimates smaller than Efford's ML at low density (<1.5/ha) and larger than Efford's ML density by 36–63% at high density (25/ha). Efford's inverse prediction estimator produced larger density estimates than the ML estimator by 4% for the boreal forest and 32% for the tundra rodents. Relationships were high between all the estimators, such that trends in density could be inferred from all methods. Determining the bias in population density estimators in small mammals will require data from populations spatially closed and completely enumerated. For our small mammals Efford's ML estimator typically provided density estimates smaller than those produced by conventional boundary-strip estimators. |
format |
Text |
author |
Krebs, Charles J. Boonstra, Rudy Gilbert, Scott Reid, Donald Kenney, Alice J. Hofer, Elizabeth J. |
author_facet |
Krebs, Charles J. Boonstra, Rudy Gilbert, Scott Reid, Donald Kenney, Alice J. Hofer, Elizabeth J. |
author_sort |
Krebs, Charles J. |
title |
Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
title_short |
Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
title_full |
Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
title_fullStr |
Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
title_full_unstemmed |
Density estimation for small mammals from livetrapping grids: rodents in northern Canada |
title_sort |
density estimation for small mammals from livetrapping grids: rodents in northern canada |
publisher |
Oxford University Press |
publishDate |
2011 |
url |
http://jmammal.oxfordjournals.org/cgi/content/short/92/5/974 https://doi.org/10.1644/10-MAMM-A-313.1 |
long_lat |
ENVELOPE(-139.089,-139.089,69.583,69.583) ENVELOPE(-140.157,-140.157,69.601,69.601) |
geographic |
Yukon Canada Herschel Island Komakuk Beach |
geographic_facet |
Yukon Canada Herschel Island Komakuk Beach |
genre |
Herschel Herschel Island Tundra Yukon |
genre_facet |
Herschel Herschel Island Tundra Yukon |
op_relation |
http://jmammal.oxfordjournals.org/cgi/content/short/92/5/974 http://dx.doi.org/10.1644/10-MAMM-A-313.1 |
op_rights |
Copyright (C) 2011, Oxford University Press |
op_doi |
https://doi.org/10.1644/10-MAMM-A-313.1 |
container_title |
Journal of Mammalogy |
container_volume |
92 |
container_issue |
5 |
container_start_page |
974 |
op_container_end_page |
981 |
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1766024582292045824 |