Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles
Wood turtles (Glyptemys insculpta) are a species of conservation concern throughout their geographic distribution. Several studies have investigated individual‐level habitat selection of wood turtles in the Upper Midwest in the United States, but the effects of habitat characteristics on abundance a...
Gespeichert in:
Veröffentlicht in: | The Journal of wildlife management 2024-07, Vol.88 (5), p.n/a |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 5 |
container_start_page | |
container_title | The Journal of wildlife management |
container_volume | 88 |
creator | Staggs, Jena M. Brown, Donald J. Badje, Andrew F. Anderson, James T. Carlson, Lena V. Lapin, Carly N. Cochrane, Madaline M. Moen, Ron A. |
description | Wood turtles (Glyptemys insculpta) are a species of conservation concern throughout their geographic distribution. Several studies have investigated individual‐level habitat selection of wood turtles in the Upper Midwest in the United States, but the effects of habitat characteristics on abundance are poorly understood. This information is needed to improve landscape‐level habitat management and conservation initiatives for the species. Our study aimed to identify important aquatic and terrestrial habitat characteristics and quantify their influence on abundance dynamics of adult wood turtles in the Laurentian Mixed Forest Province ecoregion of Wisconsin and Minnesota, USA. We collected standardized population survey data at 57 sites within the ecoregion between 2016 and 2022. We used N‐mixture models with a multi‐stage model selection procedure to assess the influence of aquatic and terrestrial predictors on abundance, including several 3‐dimensional forest structure metrics derived from airborne Light Detection and Ranging (LiDAR) data. Several aquatic and terrestrial habitat characteristics influenced local abundance patterns of adult wood turtles. The most influential aquatic predictors were stream velocity and stream width, and the most influential terrestrial predictors were mean return height and vertical coefficient of variation of height. Abundance was high at sites containing comparatively narrow streams with moderate velocities. The most supported terrestrial predictors were derived from LiDAR and indicate that complex forest structures support larger wood turtle populations. Our results can be used in forest management strategies to improve habitat quality for wood turtles, such as selective tree harvesting to increase structural diversity, and potentially identify robust populations in under‐surveyed areas.
We conducted wood turtle population surveys at 57 sites in Wisconsin and Minnesota and assessed the influence of aquatic and terrestrial habitat characteristics on abundance. We found that 2 aquatic and 2 terrestrial variables best explained variation in abundance across the study sites. Our results can inform forest management strategies to improve habitat quality for wood turtles and assist managers with locating potentially robust populations in under‐surveyed areas. |
doi_str_mv | 10.1002/jwmg.22589 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3066576850</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3066576850</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2609-a79e40e6a969f0fae6f4c3065e677f60ea3918fe810d8736b2c966434a72f07a3</originalsourceid><addsrcrecordid>eNp9kD1PwzAQhi0EEqWw8AsssSGl2E5ixyOqoBQVsYBgs66OTVOlSesPVf33dQkz0w3vc8_pXoRuKZlQQtjDer_5mTBWVvIMjajMRcYqKs7RKIUsKwv6fYmuvF8TklNa8RFq5p1to-m08bi3GHYRQqMxdDUOxjnjg2ugxStYNgEC1itwoFPS-ISllQ7DMnY1JAHeQkhJN4jq2Aa87_vkiS60xl-jCwutNzd_c4w-n58-pi_Z4n02nz4uMs04kRkIaQpiOEguLbFguC10TnhpuBCWEwO5pJU1FSV1JXK-ZFpyXuQFCGaJgHyM7gbv1vW7mB5Q6z66Lp1UScNLwauSJOp-oLTrvXfGqq1rNuAOihJ1qlKdqlS_VSaYDvC-ac3hH1K9fr3Nhp0jhf54Lw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3066576850</pqid></control><display><type>article</type><title>Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles</title><source>Access via Wiley Online Library</source><creator>Staggs, Jena M. ; Brown, Donald J. ; Badje, Andrew F. ; Anderson, James T. ; Carlson, Lena V. ; Lapin, Carly N. ; Cochrane, Madaline M. ; Moen, Ron A.</creator><creatorcontrib>Staggs, Jena M. ; Brown, Donald J. ; Badje, Andrew F. ; Anderson, James T. ; Carlson, Lena V. ; Lapin, Carly N. ; Cochrane, Madaline M. ; Moen, Ron A.</creatorcontrib><description>Wood turtles (Glyptemys insculpta) are a species of conservation concern throughout their geographic distribution. Several studies have investigated individual‐level habitat selection of wood turtles in the Upper Midwest in the United States, but the effects of habitat characteristics on abundance are poorly understood. This information is needed to improve landscape‐level habitat management and conservation initiatives for the species. Our study aimed to identify important aquatic and terrestrial habitat characteristics and quantify their influence on abundance dynamics of adult wood turtles in the Laurentian Mixed Forest Province ecoregion of Wisconsin and Minnesota, USA. We collected standardized population survey data at 57 sites within the ecoregion between 2016 and 2022. We used N‐mixture models with a multi‐stage model selection procedure to assess the influence of aquatic and terrestrial predictors on abundance, including several 3‐dimensional forest structure metrics derived from airborne Light Detection and Ranging (LiDAR) data. Several aquatic and terrestrial habitat characteristics influenced local abundance patterns of adult wood turtles. The most influential aquatic predictors were stream velocity and stream width, and the most influential terrestrial predictors were mean return height and vertical coefficient of variation of height. Abundance was high at sites containing comparatively narrow streams with moderate velocities. The most supported terrestrial predictors were derived from LiDAR and indicate that complex forest structures support larger wood turtle populations. Our results can be used in forest management strategies to improve habitat quality for wood turtles, such as selective tree harvesting to increase structural diversity, and potentially identify robust populations in under‐surveyed areas.
We conducted wood turtle population surveys at 57 sites in Wisconsin and Minnesota and assessed the influence of aquatic and terrestrial habitat characteristics on abundance. We found that 2 aquatic and 2 terrestrial variables best explained variation in abundance across the study sites. Our results can inform forest management strategies to improve habitat quality for wood turtles and assist managers with locating potentially robust populations in under‐surveyed areas.</description><identifier>ISSN: 0022-541X</identifier><identifier>EISSN: 1937-2817</identifier><identifier>DOI: 10.1002/jwmg.22589</identifier><language>eng</language><publisher>Bethesda: Blackwell Publishing Ltd</publisher><subject>Abundance ; Coefficient of variation ; Conservation ; Environmental quality ; forest ; Forest management ; Forests ; Geographical distribution ; Glyptemys insculpta ; Habitat improvement ; Habitat selection ; Habitats ; Height ; LiDAR ; Midwest ; Minnesota ; Mixed forests ; Populations ; Probabilistic models ; reptile ; stream ; Terrestrial environments ; Turtles ; Wildlife conservation ; Wisconsin ; Wood</subject><ispartof>The Journal of wildlife management, 2024-07, Vol.88 (5), p.n/a</ispartof><rights>2024 The Wildlife Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</rights><rights>2024 The Wildlife Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2609-a79e40e6a969f0fae6f4c3065e677f60ea3918fe810d8736b2c966434a72f07a3</cites><orcidid>0000-0002-4552-5674</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjwmg.22589$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjwmg.22589$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Staggs, Jena M.</creatorcontrib><creatorcontrib>Brown, Donald J.</creatorcontrib><creatorcontrib>Badje, Andrew F.</creatorcontrib><creatorcontrib>Anderson, James T.</creatorcontrib><creatorcontrib>Carlson, Lena V.</creatorcontrib><creatorcontrib>Lapin, Carly N.</creatorcontrib><creatorcontrib>Cochrane, Madaline M.</creatorcontrib><creatorcontrib>Moen, Ron A.</creatorcontrib><title>Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles</title><title>The Journal of wildlife management</title><description>Wood turtles (Glyptemys insculpta) are a species of conservation concern throughout their geographic distribution. Several studies have investigated individual‐level habitat selection of wood turtles in the Upper Midwest in the United States, but the effects of habitat characteristics on abundance are poorly understood. This information is needed to improve landscape‐level habitat management and conservation initiatives for the species. Our study aimed to identify important aquatic and terrestrial habitat characteristics and quantify their influence on abundance dynamics of adult wood turtles in the Laurentian Mixed Forest Province ecoregion of Wisconsin and Minnesota, USA. We collected standardized population survey data at 57 sites within the ecoregion between 2016 and 2022. We used N‐mixture models with a multi‐stage model selection procedure to assess the influence of aquatic and terrestrial predictors on abundance, including several 3‐dimensional forest structure metrics derived from airborne Light Detection and Ranging (LiDAR) data. Several aquatic and terrestrial habitat characteristics influenced local abundance patterns of adult wood turtles. The most influential aquatic predictors were stream velocity and stream width, and the most influential terrestrial predictors were mean return height and vertical coefficient of variation of height. Abundance was high at sites containing comparatively narrow streams with moderate velocities. The most supported terrestrial predictors were derived from LiDAR and indicate that complex forest structures support larger wood turtle populations. Our results can be used in forest management strategies to improve habitat quality for wood turtles, such as selective tree harvesting to increase structural diversity, and potentially identify robust populations in under‐surveyed areas.
We conducted wood turtle population surveys at 57 sites in Wisconsin and Minnesota and assessed the influence of aquatic and terrestrial habitat characteristics on abundance. We found that 2 aquatic and 2 terrestrial variables best explained variation in abundance across the study sites. Our results can inform forest management strategies to improve habitat quality for wood turtles and assist managers with locating potentially robust populations in under‐surveyed areas.</description><subject>Abundance</subject><subject>Coefficient of variation</subject><subject>Conservation</subject><subject>Environmental quality</subject><subject>forest</subject><subject>Forest management</subject><subject>Forests</subject><subject>Geographical distribution</subject><subject>Glyptemys insculpta</subject><subject>Habitat improvement</subject><subject>Habitat selection</subject><subject>Habitats</subject><subject>Height</subject><subject>LiDAR</subject><subject>Midwest</subject><subject>Minnesota</subject><subject>Mixed forests</subject><subject>Populations</subject><subject>Probabilistic models</subject><subject>reptile</subject><subject>stream</subject><subject>Terrestrial environments</subject><subject>Turtles</subject><subject>Wildlife conservation</subject><subject>Wisconsin</subject><subject>Wood</subject><issn>0022-541X</issn><issn>1937-2817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEqWw8AsssSGl2E5ixyOqoBQVsYBgs66OTVOlSesPVf33dQkz0w3vc8_pXoRuKZlQQtjDer_5mTBWVvIMjajMRcYqKs7RKIUsKwv6fYmuvF8TklNa8RFq5p1to-m08bi3GHYRQqMxdDUOxjnjg2ugxStYNgEC1itwoFPS-ISllQ7DMnY1JAHeQkhJN4jq2Aa87_vkiS60xl-jCwutNzd_c4w-n58-pi_Z4n02nz4uMs04kRkIaQpiOEguLbFguC10TnhpuBCWEwO5pJU1FSV1JXK-ZFpyXuQFCGaJgHyM7gbv1vW7mB5Q6z66Lp1UScNLwauSJOp-oLTrvXfGqq1rNuAOihJ1qlKdqlS_VSaYDvC-ac3hH1K9fr3Nhp0jhf54Lw</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Staggs, Jena M.</creator><creator>Brown, Donald J.</creator><creator>Badje, Andrew F.</creator><creator>Anderson, James T.</creator><creator>Carlson, Lena V.</creator><creator>Lapin, Carly N.</creator><creator>Cochrane, Madaline M.</creator><creator>Moen, Ron A.</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-4552-5674</orcidid></search><sort><creationdate>202407</creationdate><title>Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles</title><author>Staggs, Jena M. ; Brown, Donald J. ; Badje, Andrew F. ; Anderson, James T. ; Carlson, Lena V. ; Lapin, Carly N. ; Cochrane, Madaline M. ; Moen, Ron A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2609-a79e40e6a969f0fae6f4c3065e677f60ea3918fe810d8736b2c966434a72f07a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abundance</topic><topic>Coefficient of variation</topic><topic>Conservation</topic><topic>Environmental quality</topic><topic>forest</topic><topic>Forest management</topic><topic>Forests</topic><topic>Geographical distribution</topic><topic>Glyptemys insculpta</topic><topic>Habitat improvement</topic><topic>Habitat selection</topic><topic>Habitats</topic><topic>Height</topic><topic>LiDAR</topic><topic>Midwest</topic><topic>Minnesota</topic><topic>Mixed forests</topic><topic>Populations</topic><topic>Probabilistic models</topic><topic>reptile</topic><topic>stream</topic><topic>Terrestrial environments</topic><topic>Turtles</topic><topic>Wildlife conservation</topic><topic>Wisconsin</topic><topic>Wood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Staggs, Jena M.</creatorcontrib><creatorcontrib>Brown, Donald J.</creatorcontrib><creatorcontrib>Badje, Andrew F.</creatorcontrib><creatorcontrib>Anderson, James T.</creatorcontrib><creatorcontrib>Carlson, Lena V.</creatorcontrib><creatorcontrib>Lapin, Carly N.</creatorcontrib><creatorcontrib>Cochrane, Madaline M.</creatorcontrib><creatorcontrib>Moen, Ron A.</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Sustainability Science Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>The Journal of wildlife management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Staggs, Jena M.</au><au>Brown, Donald J.</au><au>Badje, Andrew F.</au><au>Anderson, James T.</au><au>Carlson, Lena V.</au><au>Lapin, Carly N.</au><au>Cochrane, Madaline M.</au><au>Moen, Ron A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles</atitle><jtitle>The Journal of wildlife management</jtitle><date>2024-07</date><risdate>2024</risdate><volume>88</volume><issue>5</issue><epage>n/a</epage><issn>0022-541X</issn><eissn>1937-2817</eissn><abstract>Wood turtles (Glyptemys insculpta) are a species of conservation concern throughout their geographic distribution. Several studies have investigated individual‐level habitat selection of wood turtles in the Upper Midwest in the United States, but the effects of habitat characteristics on abundance are poorly understood. This information is needed to improve landscape‐level habitat management and conservation initiatives for the species. Our study aimed to identify important aquatic and terrestrial habitat characteristics and quantify their influence on abundance dynamics of adult wood turtles in the Laurentian Mixed Forest Province ecoregion of Wisconsin and Minnesota, USA. We collected standardized population survey data at 57 sites within the ecoregion between 2016 and 2022. We used N‐mixture models with a multi‐stage model selection procedure to assess the influence of aquatic and terrestrial predictors on abundance, including several 3‐dimensional forest structure metrics derived from airborne Light Detection and Ranging (LiDAR) data. Several aquatic and terrestrial habitat characteristics influenced local abundance patterns of adult wood turtles. The most influential aquatic predictors were stream velocity and stream width, and the most influential terrestrial predictors were mean return height and vertical coefficient of variation of height. Abundance was high at sites containing comparatively narrow streams with moderate velocities. The most supported terrestrial predictors were derived from LiDAR and indicate that complex forest structures support larger wood turtle populations. Our results can be used in forest management strategies to improve habitat quality for wood turtles, such as selective tree harvesting to increase structural diversity, and potentially identify robust populations in under‐surveyed areas.
We conducted wood turtle population surveys at 57 sites in Wisconsin and Minnesota and assessed the influence of aquatic and terrestrial habitat characteristics on abundance. We found that 2 aquatic and 2 terrestrial variables best explained variation in abundance across the study sites. Our results can inform forest management strategies to improve habitat quality for wood turtles and assist managers with locating potentially robust populations in under‐surveyed areas.</abstract><cop>Bethesda</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/jwmg.22589</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-4552-5674</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-541X |
ispartof | The Journal of wildlife management, 2024-07, Vol.88 (5), p.n/a |
issn | 0022-541X 1937-2817 |
language | eng |
recordid | cdi_proquest_journals_3066576850 |
source | Access via Wiley Online Library |
subjects | Abundance Coefficient of variation Conservation Environmental quality forest Forest management Forests Geographical distribution Glyptemys insculpta Habitat improvement Habitat selection Habitats Height LiDAR Midwest Minnesota Mixed forests Populations Probabilistic models reptile stream Terrestrial environments Turtles Wildlife conservation Wisconsin Wood |
title | Influences of aquatic and terrestrial habitat characteristics on abundance patterns of adult wood turtles |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T22%3A36%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Influences%20of%20aquatic%20and%20terrestrial%20habitat%20characteristics%20on%20abundance%20patterns%20of%20adult%20wood%20turtles&rft.jtitle=The%20Journal%20of%20wildlife%20management&rft.au=Staggs,%20Jena%20M.&rft.date=2024-07&rft.volume=88&rft.issue=5&rft.epage=n/a&rft.issn=0022-541X&rft.eissn=1937-2817&rft_id=info:doi/10.1002/jwmg.22589&rft_dat=%3Cproquest_cross%3E3066576850%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3066576850&rft_id=info:pmid/&rfr_iscdi=true |