Elevational species richness gradients in a hyperdiverse insect taxon: a global meta-study on geometrid moths

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Author(s)
Beck, Jan
McCain, Christy M
Axmacher, Jan C
Ashton, Louise A
Bartschi, Florian
Brehm, Gunnar
Choi, Sei-Woong
Cizek, Oldrich
Colwell, Robert K
Fiedler, Konrad
Francois, Cristina L
Highland, Steven
Holloway, Jeremy D
Intachat, Jurie
Kadlec, Tomas
Kitching, Roger L
Maunsell, Sarah C
Merckx, Thomas
Nakamura, Akihiro
Odell, Erica
Sang, Weiguo
Toko, Pagi S
Zamecnik, Jaroslav
Zou, Yi
Novotny, Vojtech
Griffith University Author(s)
Year published
2017
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Show full item recordAbstract
Aims:
We aim to document elevational richness patterns of geometrid moths in a globally replicated, multi‐gradient setting, and to test general hypotheses on environmental and spatial effects (i.e. productivity, temperature, precipitation, area, mid‐domain effect and human habitat disturbance) on these richness patterns.
Location:
Twenty‐six elevational gradients world‐wide (latitudes 28° S to 51° N).
Methods:
We compiled field datasets on elevational gradients for geometrid moths, a lepidopteran family, and documented richness patterns across each gradient while accounting for local undersampling of richness. Environmental ...
View more >Aims: We aim to document elevational richness patterns of geometrid moths in a globally replicated, multi‐gradient setting, and to test general hypotheses on environmental and spatial effects (i.e. productivity, temperature, precipitation, area, mid‐domain effect and human habitat disturbance) on these richness patterns. Location: Twenty‐six elevational gradients world‐wide (latitudes 28° S to 51° N). Methods: We compiled field datasets on elevational gradients for geometrid moths, a lepidopteran family, and documented richness patterns across each gradient while accounting for local undersampling of richness. Environmental and spatial predictor variables as well as habitat disturbance were used to test various hypotheses. Our analyses comprised two pathways: univariate correlations within gradients, and multivariate modelling on pooled data after correcting for overall variation in richness among different gradients. Results: The majority of gradients showed midpeak patterns of richness, irrespective of climate and geographical location. The exclusion of human‐affected sampling plots did not change these patterns. Support for univariate main drivers of richness was generally low, although there was idiosyncratic support for particular predictors on single gradients. Multivariate models, in agreement with univariate results, provided the strongest support for an effect of area‐integrated productivity, or alternatively for an elevational area effect. Temperature and the mid‐domain effect received support as weaker, modulating covariates, while precipitation‐related variables had no explanatory potential. Main conclusions: Despite the predicted decreasing diversity–temperature relationship in ectotherms, geometrid moths are similar to ants and salamanders as well as small mammals and ferns in having predominantly their highest diversity at mid‐elevations. As in those comparative analyses, single or clear sets of drivers are elusive, but both productivity and area appear to be influential. More comparative elevational studies for various insect taxa are necessary for a more comprehensive understanding of elevational diversity and productivity.
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View more >Aims: We aim to document elevational richness patterns of geometrid moths in a globally replicated, multi‐gradient setting, and to test general hypotheses on environmental and spatial effects (i.e. productivity, temperature, precipitation, area, mid‐domain effect and human habitat disturbance) on these richness patterns. Location: Twenty‐six elevational gradients world‐wide (latitudes 28° S to 51° N). Methods: We compiled field datasets on elevational gradients for geometrid moths, a lepidopteran family, and documented richness patterns across each gradient while accounting for local undersampling of richness. Environmental and spatial predictor variables as well as habitat disturbance were used to test various hypotheses. Our analyses comprised two pathways: univariate correlations within gradients, and multivariate modelling on pooled data after correcting for overall variation in richness among different gradients. Results: The majority of gradients showed midpeak patterns of richness, irrespective of climate and geographical location. The exclusion of human‐affected sampling plots did not change these patterns. Support for univariate main drivers of richness was generally low, although there was idiosyncratic support for particular predictors on single gradients. Multivariate models, in agreement with univariate results, provided the strongest support for an effect of area‐integrated productivity, or alternatively for an elevational area effect. Temperature and the mid‐domain effect received support as weaker, modulating covariates, while precipitation‐related variables had no explanatory potential. Main conclusions: Despite the predicted decreasing diversity–temperature relationship in ectotherms, geometrid moths are similar to ants and salamanders as well as small mammals and ferns in having predominantly their highest diversity at mid‐elevations. As in those comparative analyses, single or clear sets of drivers are elusive, but both productivity and area appear to be influential. More comparative elevational studies for various insect taxa are necessary for a more comprehensive understanding of elevational diversity and productivity.
View less >
Journal Title
Global Ecology and Biogeography
Copyright Statement
© 2016 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Elevational species richness gradients in a hyperdiverse insect taxon: a global meta‐study on geometrid moths, Global Ecology and Biogeography, Volume 26, Issue 4, Pages 412-424, 2017, which has been published in final form at https://doi.org/10.1111/geb.12548. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
Subject
Physical geography and environmental geoscience
Ecology
Ecology not elsewhere classified