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Road-based line distance surveys overestimate densities of olive baboons

Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density...

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Autores principales: Kiffner, Christian, Paciência, Filipa M. D., Henrich, Grace, Kaitila, Rehema, Chuma, Idrissa S., Mbaryo, Pay, Knauf, Sascha, Kioko, John, Zinner, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809570/
https://www.ncbi.nlm.nih.gov/pubmed/35108346
http://dx.doi.org/10.1371/journal.pone.0263314
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author Kiffner, Christian
Paciência, Filipa M. D.
Henrich, Grace
Kaitila, Rehema
Chuma, Idrissa S.
Mbaryo, Pay
Knauf, Sascha
Kioko, John
Zinner, Dietmar
author_facet Kiffner, Christian
Paciência, Filipa M. D.
Henrich, Grace
Kaitila, Rehema
Chuma, Idrissa S.
Mbaryo, Pay
Knauf, Sascha
Kioko, John
Zinner, Dietmar
author_sort Kiffner, Christian
collection PubMed
description Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011 to 2019, we counted olive baboons along road transects, estimated survey-specific densities in a distance sampling framework, and assessed temporal population trends. Based on the fitted half-normal detection function, the mean density was 132.5 baboons km(-2) (95% CI: 110.4–159.2), however, detection models did not fit well due to heaping of sightings on and near the transects. Density estimates were associated with relatively wide confidence intervals that were mostly caused by encounter rate variance. Based on a generalized additive model, baboon densities were greater during the rainy seasons compared to the dry seasons but did not show marked annual trends. Compared to estimates derived from the alternative method (sleeping site survey), distance sampling along road transects overestimated the abundance of baboons more than threefold. Possibly, this overestimation was caused by the preferred use of roads by baboons. While being a frequently used technique (due to its relative ease of implementation compared to spatially randomized survey techniques), inferring population density of baboons (and possibly other species) based on road transects should be treated with caution. Beyond these methodological concerns and considering only the most conservative estimates, baboon densities in LMNP are among the highest across their geographic distribution range.
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spelling pubmed-88095702022-02-03 Road-based line distance surveys overestimate densities of olive baboons Kiffner, Christian Paciência, Filipa M. D. Henrich, Grace Kaitila, Rehema Chuma, Idrissa S. Mbaryo, Pay Knauf, Sascha Kioko, John Zinner, Dietmar PLoS One Research Article Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011 to 2019, we counted olive baboons along road transects, estimated survey-specific densities in a distance sampling framework, and assessed temporal population trends. Based on the fitted half-normal detection function, the mean density was 132.5 baboons km(-2) (95% CI: 110.4–159.2), however, detection models did not fit well due to heaping of sightings on and near the transects. Density estimates were associated with relatively wide confidence intervals that were mostly caused by encounter rate variance. Based on a generalized additive model, baboon densities were greater during the rainy seasons compared to the dry seasons but did not show marked annual trends. Compared to estimates derived from the alternative method (sleeping site survey), distance sampling along road transects overestimated the abundance of baboons more than threefold. Possibly, this overestimation was caused by the preferred use of roads by baboons. While being a frequently used technique (due to its relative ease of implementation compared to spatially randomized survey techniques), inferring population density of baboons (and possibly other species) based on road transects should be treated with caution. Beyond these methodological concerns and considering only the most conservative estimates, baboon densities in LMNP are among the highest across their geographic distribution range. Public Library of Science 2022-02-02 /pmc/articles/PMC8809570/ /pubmed/35108346 http://dx.doi.org/10.1371/journal.pone.0263314 Text en © 2022 Kiffner et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kiffner, Christian
Paciência, Filipa M. D.
Henrich, Grace
Kaitila, Rehema
Chuma, Idrissa S.
Mbaryo, Pay
Knauf, Sascha
Kioko, John
Zinner, Dietmar
Road-based line distance surveys overestimate densities of olive baboons
title Road-based line distance surveys overestimate densities of olive baboons
title_full Road-based line distance surveys overestimate densities of olive baboons
title_fullStr Road-based line distance surveys overestimate densities of olive baboons
title_full_unstemmed Road-based line distance surveys overestimate densities of olive baboons
title_short Road-based line distance surveys overestimate densities of olive baboons
title_sort road-based line distance surveys overestimate densities of olive baboons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809570/
https://www.ncbi.nlm.nih.gov/pubmed/35108346
http://dx.doi.org/10.1371/journal.pone.0263314
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