Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns

Christoph F.J. Meyer; Ludmilla M.S. Aguiar; Luis F. Aguirre; Julio Baumgarten; Frank M. Clarke; Jean François Cosson; Sergio Estrada Villegas; Jakob Fahr; Deborah Faria; Neil Furey; Mickaël Henry; Richard K.B. Jenkins; Thomas H. Kunz; M. Cristina Macswiney González; Isabel Moya; Jean Marc Pons; Paul A. Racey; Katja Rex; Erica M. Sampaio; Kathryn E. Stoner; Christian C. Voigt; Dietrich von Staden; Christa D. Weise; Elisabeth K.V. Kalko

doi:10.1111/1365-2656.12261

Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns

Christoph F.J. Meyer, Ludmilla M.S. Aguiar, Luis F. Aguirre, Julio Baumgarten, Frank M. Clarke, Jean François Cosson, Sergio Estrada Villegas, Jakob Fahr, Deborah Faria, Neil Furey, Mickaël Henry, Richard K.B. Jenkins, Thomas H. Kunz, M. Cristina Macswiney González, Isabel Moya, Jean Marc Pons, Paul A. Racey, Katja Rex, Erica M. Sampaio, Kathryn E. StonerChristian C. Voigt, Dietrich von Staden, Christa D. Weise, Elisabeth K.V. Kalko

Faculty of Natural Sciences

Research output: Contribution to journal › Research Article › peer-review

15 Scopus citations

Abstract

Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblages in which rare taxa abound, with possible repercussions for our ability to implement surveys and monitoring programmes in a cost-effective way. We investigated the consequences of information loss due to species undersampling (missing subsets of species from the full species pool) in tropical bat surveys for the emerging patterns of species richness (SR) and compositional variation across sites. For 27 bat assemblage data sets from across the tropics, we used correlations between original data sets and subsets with different numbers of species deleted either at random, or according to their rarity in the assemblage, to assess to what extent patterns in SR and composition in data subsets are congruent with those in the initial data set. We then examined to what degree high sample representativeness (r ≥ 0·8) was influenced by biogeographic region, sampling method, sampling effort or structural assemblage characteristics.

Original language	English (US)
Pages (from-to)	113-123
Number of pages	11
Journal	Journal of Animal Ecology
Volume	84
Issue number	1
DOIs	https://doi.org/10.1111/1365-2656.12261
State	Published - Jan 1 2015

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Animal Science and Zoology

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Meyer, C. F. J., Aguiar, L. M. S., Aguirre, L. F., Baumgarten, J., Clarke, F. M., Cosson, J. F., Estrada Villegas, S., Fahr, J., Faria, D., Furey, N., Henry, M., Jenkins, R. K. B., Kunz, T. H., Cristina Macswiney González, M., Moya, I., Pons, J. M., Racey, P. A., Rex, K., Sampaio, E. M., ... Kalko, E. K. V. (2015). Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns. Journal of Animal Ecology, 84(1), 113-123. https://doi.org/10.1111/1365-2656.12261

@article{711bb834e0d9407ea01aae997c47ef0a,

title = "Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns",

abstract = "Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblages in which rare taxa abound, with possible repercussions for our ability to implement surveys and monitoring programmes in a cost-effective way. We investigated the consequences of information loss due to species undersampling (missing subsets of species from the full species pool) in tropical bat surveys for the emerging patterns of species richness (SR) and compositional variation across sites. For 27 bat assemblage data sets from across the tropics, we used correlations between original data sets and subsets with different numbers of species deleted either at random, or according to their rarity in the assemblage, to assess to what extent patterns in SR and composition in data subsets are congruent with those in the initial data set. We then examined to what degree high sample representativeness (r ≥ 0·8) was influenced by biogeographic region, sampling method, sampling effort or structural assemblage characteristics.",

author = "Meyer, {Christoph F.J.} and Aguiar, {Ludmilla M.S.} and Aguirre, {Luis F.} and Julio Baumgarten and Clarke, {Frank M.} and Cosson, {Jean Fran{\c c}ois} and {Estrada Villegas}, Sergio and Jakob Fahr and Deborah Faria and Neil Furey and Micka{\"e}l Henry and Jenkins, {Richard K.B.} and Kunz, {Thomas H.} and {Cristina Macswiney Gonz{\'a}lez}, M. and Isabel Moya and Pons, {Jean Marc} and Racey, {Paul A.} and Katja Rex and Sampaio, {Erica M.} and Stoner, {Kathryn E.} and Voigt, {Christian C.} and {von Staden}, Dietrich and Weise, {Christa D.} and Kalko, {Elisabeth K.V.}",

note = "Publisher Copyright: {\textcopyright} 2014 British Ecological Society.",

year = "2015",

month = jan,

day = "1",

doi = "10.1111/1365-2656.12261",

language = "English (US)",

volume = "84",

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journal = "Journal of Animal Ecology",

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Meyer, CFJ, Aguiar, LMS, Aguirre, LF, Baumgarten, J, Clarke, FM, Cosson, JF, Estrada Villegas, S, Fahr, J, Faria, D, Furey, N, Henry, M, Jenkins, RKB, Kunz, TH, Cristina Macswiney González, M, Moya, I, Pons, JM, Racey, PA, Rex, K, Sampaio, EM, Stoner, KE, Voigt, CC, von Staden, D, Weise, CD & Kalko, EKV 2015, 'Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns', Journal of Animal Ecology, vol. 84, no. 1, pp. 113-123. https://doi.org/10.1111/1365-2656.12261

TY - JOUR

T1 - Species undersampling in tropical bat surveys

T2 - Effects on emerging biodiversity patterns

AU - Meyer, Christoph F.J.

AU - Aguiar, Ludmilla M.S.

AU - Aguirre, Luis F.

AU - Baumgarten, Julio

AU - Clarke, Frank M.

AU - Cosson, Jean François

AU - Estrada Villegas, Sergio

AU - Fahr, Jakob

AU - Faria, Deborah

AU - Furey, Neil

AU - Henry, Mickaël

AU - Jenkins, Richard K.B.

AU - Kunz, Thomas H.

AU - Cristina Macswiney González, M.

AU - Moya, Isabel

AU - Pons, Jean Marc

AU - Racey, Paul A.

AU - Rex, Katja

AU - Sampaio, Erica M.

AU - Stoner, Kathryn E.

AU - Voigt, Christian C.

AU - von Staden, Dietrich

AU - Weise, Christa D.

AU - Kalko, Elisabeth K.V.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblages in which rare taxa abound, with possible repercussions for our ability to implement surveys and monitoring programmes in a cost-effective way. We investigated the consequences of information loss due to species undersampling (missing subsets of species from the full species pool) in tropical bat surveys for the emerging patterns of species richness (SR) and compositional variation across sites. For 27 bat assemblage data sets from across the tropics, we used correlations between original data sets and subsets with different numbers of species deleted either at random, or according to their rarity in the assemblage, to assess to what extent patterns in SR and composition in data subsets are congruent with those in the initial data set. We then examined to what degree high sample representativeness (r ≥ 0·8) was influenced by biogeographic region, sampling method, sampling effort or structural assemblage characteristics.

AB - Summary: Undersampling is commonplace in biodiversity surveys of species-rich tropical assemblages in which rare taxa abound, with possible repercussions for our ability to implement surveys and monitoring programmes in a cost-effective way. We investigated the consequences of information loss due to species undersampling (missing subsets of species from the full species pool) in tropical bat surveys for the emerging patterns of species richness (SR) and compositional variation across sites. For 27 bat assemblage data sets from across the tropics, we used correlations between original data sets and subsets with different numbers of species deleted either at random, or according to their rarity in the assemblage, to assess to what extent patterns in SR and composition in data subsets are congruent with those in the initial data set. We then examined to what degree high sample representativeness (r ≥ 0·8) was influenced by biogeographic region, sampling method, sampling effort or structural assemblage characteristics.

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U2 - 10.1111/1365-2656.12261

DO - 10.1111/1365-2656.12261

M3 - Research Article

C2 - 24942147

AN - SCOPUS:84919876707

SN - 0021-8790

VL - 84

SP - 113

EP - 123

JO - Journal of Animal Ecology

JF - Journal of Animal Ecology

IS - 1

ER -

Species undersampling in tropical bat surveys: Effects on emerging biodiversity patterns

Abstract

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