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Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs
Monitoring is an integral part of species conservation. Monitoring programs must take imperfect detection of species into account in order to be reliable. Theory suggests that detection probability may be determined by population size but this relationship has not yet been assessed empirically. Popu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229540/ https://www.ncbi.nlm.nih.gov/pubmed/22164250 http://dx.doi.org/10.1371/journal.pone.0028244 |
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author | Tanadini, Lorenzo G. Schmidt, Benedikt R. |
author_facet | Tanadini, Lorenzo G. Schmidt, Benedikt R. |
author_sort | Tanadini, Lorenzo G. |
collection | PubMed |
description | Monitoring is an integral part of species conservation. Monitoring programs must take imperfect detection of species into account in order to be reliable. Theory suggests that detection probability may be determined by population size but this relationship has not yet been assessed empirically. Population size is particularly important because it may induce heterogeneity in detection probability and thereby cause bias in estimates of biodiversity. We used a site occupancy model to analyse data from a volunteer-based amphibian monitoring program to assess how well different variables explain variation in detection probability. An index to population size best explained detection probabilities for four out of six species (to avoid circular reasoning, we used the count of individuals at a previous site visit as an index to current population size). The relationship between the population index and detection probability was positive. Commonly used weather variables best explained detection probabilities for two out of six species. Estimates of site occupancy probabilities differed depending on whether the population index was or was not used to model detection probability. The relationship between the population index and detectability has implications for the design of monitoring and species conservation. Most importantly, because many small populations are likely to be overlooked, monitoring programs should be designed in such a way that small populations are not overlooked. The results also imply that methods cannot be standardized in such a way that detection probabilities are constant. As we have shown here, one can easily account for variation in population size in the analysis of data from long-term monitoring programs by using counts of individuals from surveys at the same site in previous years. Accounting for variation in population size is important because it can affect the results of long-term monitoring programs and ultimately the conservation of imperiled species. |
format | Online Article Text |
id | pubmed-3229540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32295402011-12-07 Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs Tanadini, Lorenzo G. Schmidt, Benedikt R. PLoS One Research Article Monitoring is an integral part of species conservation. Monitoring programs must take imperfect detection of species into account in order to be reliable. Theory suggests that detection probability may be determined by population size but this relationship has not yet been assessed empirically. Population size is particularly important because it may induce heterogeneity in detection probability and thereby cause bias in estimates of biodiversity. We used a site occupancy model to analyse data from a volunteer-based amphibian monitoring program to assess how well different variables explain variation in detection probability. An index to population size best explained detection probabilities for four out of six species (to avoid circular reasoning, we used the count of individuals at a previous site visit as an index to current population size). The relationship between the population index and detection probability was positive. Commonly used weather variables best explained detection probabilities for two out of six species. Estimates of site occupancy probabilities differed depending on whether the population index was or was not used to model detection probability. The relationship between the population index and detectability has implications for the design of monitoring and species conservation. Most importantly, because many small populations are likely to be overlooked, monitoring programs should be designed in such a way that small populations are not overlooked. The results also imply that methods cannot be standardized in such a way that detection probabilities are constant. As we have shown here, one can easily account for variation in population size in the analysis of data from long-term monitoring programs by using counts of individuals from surveys at the same site in previous years. Accounting for variation in population size is important because it can affect the results of long-term monitoring programs and ultimately the conservation of imperiled species. Public Library of Science 2011-12-02 /pmc/articles/PMC3229540/ /pubmed/22164250 http://dx.doi.org/10.1371/journal.pone.0028244 Text en Tanadini, Schmidt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tanadini, Lorenzo G. Schmidt, Benedikt R. Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title | Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title_full | Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title_fullStr | Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title_full_unstemmed | Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title_short | Population Size Influences Amphibian Detection Probability: Implications for Biodiversity Monitoring Programs |
title_sort | population size influences amphibian detection probability: implications for biodiversity monitoring programs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229540/ https://www.ncbi.nlm.nih.gov/pubmed/22164250 http://dx.doi.org/10.1371/journal.pone.0028244 |
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