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.
N1 - Publisher Copyright:
© 2014 British Ecological Society.
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.
UR - https://www.scopus.com/pages/publications/84919876707
UR - https://www.scopus.com/inward/citedby.url?scp=84919876707&partnerID=8YFLogxK
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 -