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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...

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Detalles Bibliográficos
Autores principales: Trevelin, Leonardo Carreira, Novaes, Roberto Leonan Morim, Colas-Rosas, Paul François, Benathar, Thayse Cristhina Melo, Peres, Carlos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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