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dc.contributor.authorCarvalho, Joana S.
dc.contributor.authorStewart, Fiona A.
dc.contributor.authorMarques, Tiago A.
dc.contributor.authorBonnin, Noemie
dc.contributor.authorPintea, Lilian
dc.contributor.authorChitayat, Adrienne
dc.contributor.authorIngram, Rebecca
dc.contributor.authorMoore, Richard J.
dc.contributor.authorPiel, Alex K.
dc.date.accessioned2022-10-12T15:30:02Z
dc.date.available2022-10-12T15:30:02Z
dc.date.issued2022-09-30
dc.identifier280731400
dc.identifier1b973536-05bd-4e96-9a38-8bf753609455
dc.identifier000861813200001
dc.identifier85139060633
dc.identifier.citationCarvalho , J S , Stewart , F A , Marques , T A , Bonnin , N , Pintea , L , Chitayat , A , Ingram , R , Moore , R J & Piel , A K 2022 , ' Spatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzania ' , Ecological Applications , vol. Early View , e2715 . https://doi.org/10.1002/eap.2715en
dc.identifier.issn1051-0761
dc.identifier.otherRIS: urn:F394390A61B28ADEF2C068AA287F069B
dc.identifier.otherORCID: /0000-0002-2581-1972/work/120849687
dc.identifier.urihttps://hdl.handle.net/10023/26185
dc.descriptionAuthors would like to acknowledge the Arcus Foundation, Jane Goodall Institute, United States Agency for International Development (USAID), National Aeronautics and Space Administration (NASA), The Nature Conservancy, and Frankfurt Zoological Society for supporting, facilitating, and funding this work.en
dc.description.abstractSpecies 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), about 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 employed density surface modelling, fitting a generalised additive model to a ten-year time series data set of nest counts based on line transect surveys. Chimpanzee population declined at an annual rate of 2.41%, including declines of 1.72% in riparian forests (hereafter forests), 2.05% in miombo-woodlands (hereafter woodlands) and 3.45% in non-forests. 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 non-forests. Our model predicted the highest chimpanzee density in forests (0.86 chimpanzees/km2, 95% CI 0.60-1.23; as of 2020), followed by woodlands (0.19, 95% CI 0.12-0.30) and non-forests (0.18, 95% CI 0.10-1.33). Although forests represent only 6% of the landscape, they support nearly a quarter of the chimpanzee population (769 chimpanzees, 95% CI 536-1,103). Woodlands dominate the landscape (71%) and thus support more than a half of the chimpanzee population (2,294; 95% CI 1,420-3,707). The remaining quarter of the landscape is represented by non-forests and supports another quarter of the chimpanzee population (750; 95% CI 408-1,381). 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 programmes implement a systematic random design to effectively inform and allocate conservation actions and facilitate inter-annual comparisons for trend-monitoring, measuring conservation success and guiding adaptive management.
dc.format.extent1822898
dc.language.isoeng
dc.relation.ispartofEcological Applicationsen
dc.subjectConservationen
dc.subjectDetection function estimationen
dc.subjectDensity surface modellingen
dc.subjectEastern chimpanzeeen
dc.subjectGeneralized additive modelsen
dc.subjectGreat apesen
dc.subjectLine-transect distance samplingen
dc.subjectSpatially explicit modelsen
dc.subjectQA Mathematicsen
dc.subjectDASen
dc.subject.lccQAen
dc.titleSpatio-temporal changes in chimpanzee density and abundance in the Greater Mahale Ecosystem, Tanzaniaen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1002/eap.2715
dc.description.statusPeer revieweden


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