Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

Ferrier, Simon; Manion, Glenn; Elith, Jane; Richardson, Karen

doi:10.1111/j.1472-4642.2007.00341.x

Cited by 877 publications

(1,287 citation statements)

References 51 publications

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“…We applied Generalized Dissimilarity Modelling (GDM) 33,34 to identify areas of endemism on the basis of turnover patterns for reptiles and amphibians together. The GDM model captured 64.4% of deviance explained.…”

Section: Resultsmentioning

confidence: 99%

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A necessarily complex model to explain the biogeography of the amphibians and reptiles of Madagascar

et al. 2014

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Pattern and process are inextricably linked in biogeographic analyses, though we can observe pattern, we must infer process. Inferences of process are often based on ad hoc comparisons using a single spatial predictor. Here, we present an alternative approach that uses mixedspatial models to measure the predictive potential of combinations of hypotheses. Biodiversity patterns are estimated from 8,362 occurrence records from 745 species of Malagasy amphibians and reptiles. By incorporating 18 spatially explicit predictions of 12 major biogeographic hypotheses, we show that mixed models greatly improve our ability to explain the observed biodiversity patterns. We conclude that patterns are influenced by a combination of diversification processes rather than by a single predominant mechanism. A 'one-size-fits-all' model does not exist. By developing a novel method for examining and synthesizing spatial parameters such as species richness, endemism and community similarity, we demonstrate the potential of these analyses for understanding the diversification history of Madagascar's biota.

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Section: Resultsmentioning

confidence: 99%

“…GDM is a statistical technique extended from matrix regressions designed to accommodate nonlinear data commonly encountered in ecological studies 33 . One use of GDM is to analyse and predict spatial patterns of turnover in community composition across large areas.…”

Section: Methodsmentioning

confidence: 99%

A necessarily complex model to explain the biogeography of the amphibians and reptiles of Madagascar

et al. 2014

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“…1a; see also Lozupone and Knight 2005;Ferrier et al 2007;Nipperess et al 2010;Swenson 2011). PD-dissimilarities can be interpreted as compositional dissimilarities, based Fig.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, we can predict the PD-dissimilarity between two un-sampled sites, given their environmental difference. Generalized dissimilarity modelling (GDM ;Ferrier 2002;Ferrier et al 2004Ferrier et al , 2007; see also Faith and Ferrier 2002), an extension of matrix regression, is useful for these predictions. GDM realistically allows for a very general monotonic, curvilinear, relationship between increasing environmental distance and compositional dissimilarity.…”

Section: Introductionmentioning

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Using Phylogenetic Dissimilarities Among Sites for Biodiversity Assessments and Conservation

Faith

2016

Biodiversity Conservation and Phylogenetic Systematics

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The PD phylogenetic diversity measure provides a measure of biodiversity that reflects variety at the level of features, among species or other taxa. PD is based on a simple model which assumes that shared ancestry explains shared features. PD provides a family of calculations that operate as if we were directly counting up features of taxa. PD-dissimilarity or phylogenetic beta diversity compares the branches/features represented by two different areas. We also can consider a companion model, which shifts the focus to shared habitat/environment among taxa as the explanation of shared features, including those features not explained by shared ancestry and PD. That model means that PD-dissimilarities, among sampled and unsampled sites, can be predicted using a regression method applied to distances in an environmental-gradients space. However, PD-based conservation planning requires more than the dissimilarities among all sites, in order to make decisions informed by gains and losses of branches/features. The companion model also suggests how to transform dissimilarities to provide these needed estimates. This ED ("Environmental Diversity") method out-performs other suggested strategies for analysis of dissimilarities, including the Ferrier et al. method and the Arponen et al. method. The global biodiversity observation network (GEO BON) can use the ED method for inferences of biodiversity change that include loss of phylogenetic diversity.

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Mapping Vegetation from Landscape to Regional Scales

Franklin

2013

Vegetation Ecology

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Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

Cited by 877 publications

References 51 publications

A necessarily complex model to explain the biogeography of the amphibians and reptiles of Madagascar

A necessarily complex model to explain the biogeography of the amphibians and reptiles of Madagascar

Using Phylogenetic Dissimilarities Among Sites for Biodiversity Assessments and Conservation

Mapping Vegetation from Landscape to Regional Scales

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