Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania
Species conservation and management require reliable information about animal distribution and population size. Better management actions within a species’ range can be achieved by identifying the location and timing of population changes. In the Greater Mahale Ecosystem (GME), western Tanzania, def...
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Veröffentlicht in: | Ecological applications 2022-12, Vol.32 (8), p.1-15 |
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description | Species conservation and management require reliable information about animal distribution and population size. Better management actions within a species’ range can be achieved by identifying the location and timing of population changes. In the Greater Mahale Ecosystem (GME), western Tanzania, deforestation due to the expansion of human settlements and agriculture, annual burning, and logging are known threats to wildlife. For one of the most charismatic species, the endangered eastern chimpanzee (Pan troglodytes schweinfurthii), approximately 75% of the individuals are distributed outside national park boundaries, requiring monitoring and protection efforts over a vast landscape of various protection statuses. These efforts are especially challenging when we lack data on trends in density and population size. To predict spatio-temporal chimpanzee density and abundance across the GME, we used density surface modeling, fitting a generalized additive model to a 10-year time-series data set of nest counts based on line-transect surveys. The chimpanzee population declined at an annual rate of 2.41%, including declines of 1.72% in riparian forests (from this point forward, forests), 2.05% in miombo woodlands (from this point forward, woodlands) and 3.45% in nonforests. These population declines were accompanied by ecosystem-wide declines in vegetation types of 1.36% and 0.32% per year for forests and woodlands, respectively; we estimated an annual increase of 1.35% for nonforests. Our model predicted the highest chimpanzee density in forests (0.86 chimpanzees/km², 95% confidence intervals (CIs) 0.60–1.23; as of 2020), followed by woodlands (0.19, 95% CI 0.12–0.30) and nonforests (0.18, 95% CI 0.10–1.33). Although forests represent only 6% of the landscape, they support nearly one-quarter of the chimpanzee population (769 chimpanzees, 95% CI 536–1103). Woodlands dominate the landscape (71%) and therefore support more than a half of the chimpanzee population (2294; 95% CI 1420–3707). The remaining quarter of the landscape is represented by nonforests andsupports another quarter of the chimpanzee population (750; 95% CI 408–1381). Given the pressures on the remaining suitable habitat in Tanzania, and the need of chimpanzees to access both forest and woodland vegetation to survive, we urge future management actions to increase resources and expand the efforts to protect critical forest and woodland habitat and promote strategies and policies that more effectively |
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Better management actions within a species’ range can be achieved by identifying the location and timing of population changes. In the Greater Mahale Ecosystem (GME), western Tanzania, deforestation due to the expansion of human settlements and agriculture, annual burning, and logging are known threats to wildlife. For one of the most charismatic species, the endangered eastern chimpanzee (Pan troglodytes schweinfurthii), approximately 75% of the individuals are distributed outside national park boundaries, requiring monitoring and protection efforts over a vast landscape of various protection statuses. These efforts are especially challenging when we lack data on trends in density and population size. To predict spatio-temporal chimpanzee density and abundance across the GME, we used density surface modeling, fitting a generalized additive model to a 10-year time-series data set of nest counts based on line-transect surveys. The chimpanzee population declined at an annual rate of 2.41%, including declines of 1.72% in riparian forests (from this point forward, forests), 2.05% in miombo woodlands (from this point forward, woodlands) and 3.45% in nonforests. These population declines were accompanied by ecosystem-wide declines in vegetation types of 1.36% and 0.32% per year for forests and woodlands, respectively; we estimated an annual increase of 1.35% for nonforests. Our model predicted the highest chimpanzee density in forests (0.86 chimpanzees/km², 95% confidence intervals (CIs) 0.60–1.23; as of 2020), followed by woodlands (0.19, 95% CI 0.12–0.30) and nonforests (0.18, 95% CI 0.10–1.33). Although forests represent only 6% of the landscape, they support nearly one-quarter of the chimpanzee population (769 chimpanzees, 95% CI 536–1103). Woodlands dominate the landscape (71%) and therefore support more than a half of the chimpanzee population (2294; 95% CI 1420–3707). The remaining quarter of the landscape is represented by nonforests andsupports another quarter of the chimpanzee population (750; 95% CI 408–1381). Given the pressures on the remaining suitable habitat in Tanzania, and the need of chimpanzees to access both forest and woodland vegetation to survive, we urge future management actions to increase resources and expand the efforts to protect critical forest and woodland habitat and promote strategies and policies that more effectively prevent irreversible losses. We suggest that regular monitoring programs implement a systematic random design to effectively inform and allocate conservation actions and facilitate interannual comparisons for trend monitoring, measuring conservation success, and guiding adaptive management.</description><identifier>ISSN: 1051-0761</identifier><identifier>EISSN: 1939-5582</identifier><identifier>DOI: 10.1002/eap.2715</identifier><identifier>PMID: 36178009</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley and Sons, Inc</publisher><subject>Adaptive management ; Animals ; Chimpanzees ; Confidence intervals ; Conservation ; Conservation of Natural Resources ; Deforestation ; density surface modeling ; detection function estimation ; eastern chimpanzee ; Ecosystem ; Ecosystems ; Endangered species ; Forest protection ; Forests ; generalized additive models ; great apes ; Human settlements ; Humans ; Landscape ; line‐transect distance sampling ; Logging ; Monitoring ; Monkeys & apes ; National parks ; Pan troglodytes ; Pan troglodytes schweinfurthii ; Population changes ; Population decline ; Population density ; Population number ; Riparian forests ; spatially explicit models ; Tanzania ; Vegetation ; Wildlife ; Wildlife conservation ; Wildlife habitats ; Wildlife management ; Woodlands</subject><ispartof>Ecological applications, 2022-12, Vol.32 (8), p.1-15</ispartof><rights>2022 The Authors</rights><rights>2022 The Authors. published by Wiley Periodicals LLC on behalf of The Ecological Society of America.</rights><rights>2022 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America.</rights><rights>Copyright Ecological Society of America Dec 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4615-7c4689346fd5153a3d17c487807fe2c5d9bdfe35dc3e74a5e44856c973c987f23</citedby><cites>FETCH-LOGICAL-c4615-7c4689346fd5153a3d17c487807fe2c5d9bdfe35dc3e74a5e44856c973c987f23</cites><orcidid>0000-0002-4929-4711 ; 0000-0001-7419-6411 ; 0000-0002-4235-1242 ; 0000-0002-4674-537X ; 0000-0003-2651-4010 ; 0000-0001-5529-7452 ; 0000-0002-2581-1972</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%2Feap.2715$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Feap.2715$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36178009$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carvalho, Joana S.</creatorcontrib><creatorcontrib>Stewart, Fiona A.</creatorcontrib><creatorcontrib>Marques, Tiago A.</creatorcontrib><creatorcontrib>Bonnin, Noemie</creatorcontrib><creatorcontrib>Pintea, Lilian</creatorcontrib><creatorcontrib>Chitayat, Adrienne</creatorcontrib><creatorcontrib>Ingram, Rebecca</creatorcontrib><creatorcontrib>Moore, Richard J.</creatorcontrib><creatorcontrib>Piel, Alex K.</creatorcontrib><title>Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania</title><title>Ecological applications</title><addtitle>Ecol Appl</addtitle><description>Species conservation and management require reliable information about animal distribution and population size. Better management actions within a species’ range can be achieved by identifying the location and timing of population changes. In the Greater Mahale Ecosystem (GME), western Tanzania, deforestation due to the expansion of human settlements and agriculture, annual burning, and logging are known threats to wildlife. For one of the most charismatic species, the endangered eastern chimpanzee (Pan troglodytes schweinfurthii), approximately 75% of the individuals are distributed outside national park boundaries, requiring monitoring and protection efforts over a vast landscape of various protection statuses. These efforts are especially challenging when we lack data on trends in density and population size. To predict spatio-temporal chimpanzee density and abundance across the GME, we used density surface modeling, fitting a generalized additive model to a 10-year time-series data set of nest counts based on line-transect surveys. The chimpanzee population declined at an annual rate of 2.41%, including declines of 1.72% in riparian forests (from this point forward, forests), 2.05% in miombo woodlands (from this point forward, woodlands) and 3.45% in nonforests. These population declines were accompanied by ecosystem-wide declines in vegetation types of 1.36% and 0.32% per year for forests and woodlands, respectively; we estimated an annual increase of 1.35% for nonforests. Our model predicted the highest chimpanzee density in forests (0.86 chimpanzees/km², 95% confidence intervals (CIs) 0.60–1.23; as of 2020), followed by woodlands (0.19, 95% CI 0.12–0.30) and nonforests (0.18, 95% CI 0.10–1.33). Although forests represent only 6% of the landscape, they support nearly one-quarter of the chimpanzee population (769 chimpanzees, 95% CI 536–1103). Woodlands dominate the landscape (71%) and therefore support more than a half of the chimpanzee population (2294; 95% CI 1420–3707). The remaining quarter of the landscape is represented by nonforests andsupports another quarter of the chimpanzee population (750; 95% CI 408–1381). Given the pressures on the remaining suitable habitat in Tanzania, and the need of chimpanzees to access both forest and woodland vegetation to survive, we urge future management actions to increase resources and expand the efforts to protect critical forest and woodland habitat and promote strategies and policies that more effectively prevent irreversible losses. We suggest that regular monitoring programs implement a systematic random design to effectively inform and allocate conservation actions and facilitate interannual comparisons for trend monitoring, measuring conservation success, and guiding adaptive management.</description><subject>Adaptive management</subject><subject>Animals</subject><subject>Chimpanzees</subject><subject>Confidence intervals</subject><subject>Conservation</subject><subject>Conservation of Natural Resources</subject><subject>Deforestation</subject><subject>density surface modeling</subject><subject>detection function estimation</subject><subject>eastern chimpanzee</subject><subject>Ecosystem</subject><subject>Ecosystems</subject><subject>Endangered species</subject><subject>Forest protection</subject><subject>Forests</subject><subject>generalized additive models</subject><subject>great apes</subject><subject>Human settlements</subject><subject>Humans</subject><subject>Landscape</subject><subject>line‐transect distance sampling</subject><subject>Logging</subject><subject>Monitoring</subject><subject>Monkeys & apes</subject><subject>National parks</subject><subject>Pan troglodytes</subject><subject>Pan troglodytes schweinfurthii</subject><subject>Population changes</subject><subject>Population decline</subject><subject>Population density</subject><subject>Population number</subject><subject>Riparian forests</subject><subject>spatially explicit models</subject><subject>Tanzania</subject><subject>Vegetation</subject><subject>Wildlife</subject><subject>Wildlife conservation</subject><subject>Wildlife habitats</subject><subject>Wildlife management</subject><subject>Woodlands</subject><issn>1051-0761</issn><issn>1939-5582</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kV1vFCEUhonR2FpN_AMaEm-8cCofwzBcmaZZq0kbTazX5Cyc6bLZhRFm26y_Xja7bvSi3BwCDw8HXkJec3bOGRMfEcZzobl6Qk65kaZRqhdP65wp3jDd8RPyopQlq0MI8ZycyI7rnjFzSvDHCFNIzYTrMWVYUbeAeIeFhlinYT1C_I1IPcYSpi2F6CnMN9FDdLhjpgXSq4wwYaY3sIAV0plLZVuq8AO9rachBnhJng2wKvjqUM_Iz8-z28svzfW3q6-XF9eNazuuGl1Lb2TbDV5xJUF6Xpf62qoeUDjlzdwPKJV3EnULCtu2V50zWjrT60HIM_Jp7x038zV6h3Gqb7JjDmvIW5sg2P93YljYu3Rv6y_qXhlZDe8Ohpx-bbBMdpk2OdamrdBKyl7wtqvU-z3lciol43C8grOdS9iaiN0lUtG3_7Z0BP9GUIFmDzyEFW4fFdnZxfeD8M2eX5Yp5SMvdI3WcCn_AHTBnyk</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Carvalho, Joana S.</creator><creator>Stewart, Fiona A.</creator><creator>Marques, Tiago A.</creator><creator>Bonnin, Noemie</creator><creator>Pintea, Lilian</creator><creator>Chitayat, Adrienne</creator><creator>Ingram, Rebecca</creator><creator>Moore, Richard J.</creator><creator>Piel, Alex K.</creator><general>John Wiley and Sons, Inc</general><general>John Wiley & Sons, Inc</general><general>Ecological Society of America</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4929-4711</orcidid><orcidid>https://orcid.org/0000-0001-7419-6411</orcidid><orcidid>https://orcid.org/0000-0002-4235-1242</orcidid><orcidid>https://orcid.org/0000-0002-4674-537X</orcidid><orcidid>https://orcid.org/0000-0003-2651-4010</orcidid><orcidid>https://orcid.org/0000-0001-5529-7452</orcidid><orcidid>https://orcid.org/0000-0002-2581-1972</orcidid></search><sort><creationdate>202212</creationdate><title>Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania</title><author>Carvalho, Joana S. ; Stewart, Fiona A. ; Marques, Tiago A. ; Bonnin, Noemie ; Pintea, Lilian ; Chitayat, Adrienne ; Ingram, Rebecca ; Moore, Richard J. ; Piel, Alex K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4615-7c4689346fd5153a3d17c487807fe2c5d9bdfe35dc3e74a5e44856c973c987f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptive management</topic><topic>Animals</topic><topic>Chimpanzees</topic><topic>Confidence intervals</topic><topic>Conservation</topic><topic>Conservation of Natural Resources</topic><topic>Deforestation</topic><topic>density surface modeling</topic><topic>detection function estimation</topic><topic>eastern chimpanzee</topic><topic>Ecosystem</topic><topic>Ecosystems</topic><topic>Endangered species</topic><topic>Forest protection</topic><topic>Forests</topic><topic>generalized additive models</topic><topic>great apes</topic><topic>Human settlements</topic><topic>Humans</topic><topic>Landscape</topic><topic>line‐transect distance sampling</topic><topic>Logging</topic><topic>Monitoring</topic><topic>Monkeys & apes</topic><topic>National parks</topic><topic>Pan troglodytes</topic><topic>Pan troglodytes schweinfurthii</topic><topic>Population changes</topic><topic>Population decline</topic><topic>Population density</topic><topic>Population number</topic><topic>Riparian forests</topic><topic>spatially explicit models</topic><topic>Tanzania</topic><topic>Vegetation</topic><topic>Wildlife</topic><topic>Wildlife conservation</topic><topic>Wildlife habitats</topic><topic>Wildlife management</topic><topic>Woodlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carvalho, Joana S.</creatorcontrib><creatorcontrib>Stewart, Fiona A.</creatorcontrib><creatorcontrib>Marques, Tiago A.</creatorcontrib><creatorcontrib>Bonnin, Noemie</creatorcontrib><creatorcontrib>Pintea, Lilian</creatorcontrib><creatorcontrib>Chitayat, Adrienne</creatorcontrib><creatorcontrib>Ingram, Rebecca</creatorcontrib><creatorcontrib>Moore, Richard J.</creatorcontrib><creatorcontrib>Piel, Alex K.</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Ecological applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carvalho, Joana S.</au><au>Stewart, Fiona A.</au><au>Marques, Tiago A.</au><au>Bonnin, Noemie</au><au>Pintea, Lilian</au><au>Chitayat, Adrienne</au><au>Ingram, Rebecca</au><au>Moore, Richard J.</au><au>Piel, Alex K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania</atitle><jtitle>Ecological applications</jtitle><addtitle>Ecol Appl</addtitle><date>2022-12</date><risdate>2022</risdate><volume>32</volume><issue>8</issue><spage>1</spage><epage>15</epage><pages>1-15</pages><issn>1051-0761</issn><eissn>1939-5582</eissn><abstract>Species conservation and management require reliable information about animal distribution and population size. Better management actions within a species’ range can be achieved by identifying the location and timing of population changes. In the Greater Mahale Ecosystem (GME), western Tanzania, deforestation due to the expansion of human settlements and agriculture, annual burning, and logging are known threats to wildlife. For one of the most charismatic species, the endangered eastern chimpanzee (Pan troglodytes schweinfurthii), approximately 75% of the individuals are distributed outside national park boundaries, requiring monitoring and protection efforts over a vast landscape of various protection statuses. These efforts are especially challenging when we lack data on trends in density and population size. To predict spatio-temporal chimpanzee density and abundance across the GME, we used density surface modeling, fitting a generalized additive model to a 10-year time-series data set of nest counts based on line-transect surveys. The chimpanzee population declined at an annual rate of 2.41%, including declines of 1.72% in riparian forests (from this point forward, forests), 2.05% in miombo woodlands (from this point forward, woodlands) and 3.45% in nonforests. These population declines were accompanied by ecosystem-wide declines in vegetation types of 1.36% and 0.32% per year for forests and woodlands, respectively; we estimated an annual increase of 1.35% for nonforests. Our model predicted the highest chimpanzee density in forests (0.86 chimpanzees/km², 95% confidence intervals (CIs) 0.60–1.23; as of 2020), followed by woodlands (0.19, 95% CI 0.12–0.30) and nonforests (0.18, 95% CI 0.10–1.33). Although forests represent only 6% of the landscape, they support nearly one-quarter of the chimpanzee population (769 chimpanzees, 95% CI 536–1103). Woodlands dominate the landscape (71%) and therefore support more than a half of the chimpanzee population (2294; 95% CI 1420–3707). The remaining quarter of the landscape is represented by nonforests andsupports another quarter of the chimpanzee population (750; 95% CI 408–1381). Given the pressures on the remaining suitable habitat in Tanzania, and the need of chimpanzees to access both forest and woodland vegetation to survive, we urge future management actions to increase resources and expand the efforts to protect critical forest and woodland habitat and promote strategies and policies that more effectively prevent irreversible losses. We suggest that regular monitoring programs implement a systematic random design to effectively inform and allocate conservation actions and facilitate interannual comparisons for trend monitoring, measuring conservation success, and guiding adaptive management.</abstract><cop>Hoboken, USA</cop><pub>John Wiley and Sons, Inc</pub><pmid>36178009</pmid><doi>10.1002/eap.2715</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4929-4711</orcidid><orcidid>https://orcid.org/0000-0001-7419-6411</orcidid><orcidid>https://orcid.org/0000-0002-4235-1242</orcidid><orcidid>https://orcid.org/0000-0002-4674-537X</orcidid><orcidid>https://orcid.org/0000-0003-2651-4010</orcidid><orcidid>https://orcid.org/0000-0001-5529-7452</orcidid><orcidid>https://orcid.org/0000-0002-2581-1972</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive management Animals Chimpanzees Confidence intervals Conservation Conservation of Natural Resources Deforestation density surface modeling detection function estimation eastern chimpanzee Ecosystem Ecosystems Endangered species Forest protection Forests generalized additive models great apes Human settlements Humans Landscape line‐transect distance sampling Logging Monitoring Monkeys & apes National parks Pan troglodytes Pan troglodytes schweinfurthii Population changes Population decline Population density Population number Riparian forests spatially explicit models Tanzania Vegetation Wildlife Wildlife conservation Wildlife habitats Wildlife management Woodlands |
title | Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania |
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