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Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization
The advantages of mist-netting, the main technique used in Neotropical bat community studies to date, include logistical implementation, standardization and sampling representativeness. Nonetheless, study designs still have to deal with issues of detectability related to how different species behave...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363843/ https://www.ncbi.nlm.nih.gov/pubmed/28334046 http://dx.doi.org/10.1371/journal.pone.0174067 |
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author | Trevelin, Leonardo Carreira Novaes, Roberto Leonan Morim Colas-Rosas, Paul François Benathar, Thayse Cristhina Melo Peres, Carlos A. |
author_facet | Trevelin, Leonardo Carreira Novaes, Roberto Leonan Morim Colas-Rosas, Paul François Benathar, Thayse Cristhina Melo Peres, Carlos A. |
author_sort | Trevelin, Leonardo Carreira |
collection | PubMed |
description | The advantages of mist-netting, the main technique used in Neotropical bat community studies to date, include logistical implementation, standardization and sampling representativeness. Nonetheless, study designs still have to deal with issues of detectability related to how different species behave and use the environment. Yet there is considerable sampling heterogeneity across available studies in the literature. Here, we approach the problem of sample size optimization. We evaluated the common sense hypothesis that the first six hours comprise the period of peak night activity for several species, thereby resulting in a representative sample for the whole night. To this end, we combined re-sampling techniques, species accumulation curves, threshold analysis, and community concordance of species compositional data, and applied them to datasets of three different Neotropical biomes (Amazonia, Atlantic Forest and Cerrado). We show that the strategy of restricting sampling to only six hours of the night frequently results in incomplete sampling representation of the entire bat community investigated. From a quantitative standpoint, results corroborated the existence of a major Sample Area effect in all datasets, although for the Amazonia dataset the six-hour strategy was significantly less species-rich after extrapolation, and for the Cerrado dataset it was more efficient. From the qualitative standpoint, however, results demonstrated that, for all three datasets, the identity of species that are effectively sampled will be inherently impacted by choices of sub-sampling schedule. We also propose an alternative six-hour sampling strategy (at the beginning and the end of a sample night) which performed better when resampling Amazonian and Atlantic Forest datasets on bat assemblages. Given the observed magnitude of our results, we propose that sample representativeness has to be carefully weighed against study objectives, and recommend that the trade-off between logistical constraints and additional sampling performance should be carefully evaluated. |
format | Online Article Text |
id | pubmed-5363843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53638432017-04-06 Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization Trevelin, Leonardo Carreira Novaes, Roberto Leonan Morim Colas-Rosas, Paul François Benathar, Thayse Cristhina Melo Peres, Carlos A. PLoS One Research Article The advantages of mist-netting, the main technique used in Neotropical bat community studies to date, include logistical implementation, standardization and sampling representativeness. Nonetheless, study designs still have to deal with issues of detectability related to how different species behave and use the environment. Yet there is considerable sampling heterogeneity across available studies in the literature. Here, we approach the problem of sample size optimization. We evaluated the common sense hypothesis that the first six hours comprise the period of peak night activity for several species, thereby resulting in a representative sample for the whole night. To this end, we combined re-sampling techniques, species accumulation curves, threshold analysis, and community concordance of species compositional data, and applied them to datasets of three different Neotropical biomes (Amazonia, Atlantic Forest and Cerrado). We show that the strategy of restricting sampling to only six hours of the night frequently results in incomplete sampling representation of the entire bat community investigated. From a quantitative standpoint, results corroborated the existence of a major Sample Area effect in all datasets, although for the Amazonia dataset the six-hour strategy was significantly less species-rich after extrapolation, and for the Cerrado dataset it was more efficient. From the qualitative standpoint, however, results demonstrated that, for all three datasets, the identity of species that are effectively sampled will be inherently impacted by choices of sub-sampling schedule. We also propose an alternative six-hour sampling strategy (at the beginning and the end of a sample night) which performed better when resampling Amazonian and Atlantic Forest datasets on bat assemblages. Given the observed magnitude of our results, we propose that sample representativeness has to be carefully weighed against study objectives, and recommend that the trade-off between logistical constraints and additional sampling performance should be carefully evaluated. Public Library of Science 2017-03-23 /pmc/articles/PMC5363843/ /pubmed/28334046 http://dx.doi.org/10.1371/journal.pone.0174067 Text en © 2017 Trevelin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Trevelin, Leonardo Carreira Novaes, Roberto Leonan Morim Colas-Rosas, Paul François Benathar, Thayse Cristhina Melo Peres, Carlos A. Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title | Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title_full | Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title_fullStr | Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title_full_unstemmed | Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title_short | Enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
title_sort | enhancing sampling design in mist-net bat surveys by accounting for sample size optimization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363843/ https://www.ncbi.nlm.nih.gov/pubmed/28334046 http://dx.doi.org/10.1371/journal.pone.0174067 |
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