Spatial species‐richness gradients across scales: a meta‐analysis

By Richard Field, B. Hawkins, H. Cornell, D. Currie, J. Diniz-Filho, J. Guégan, Dawn M. Kaufman, Jeremy T. Kerr, G. Mittelbach, T. Oberdorff and 2 more. 2009

710 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/fc7ef261a9e652f23b9638f14cc1ecbcb8cba086

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Bird dietary guild richness across latitudes, environments and biogeographic regions (2012, background): “…most other broad-scale studies (birds, e.g. Jetz & Rahbek, 2002; Qian, 2008; across taxa, Hawkins et al., 2003) which show that measures of climate explain spatial variation in overall species richness better than non-climatic variables at continental and global spatial scales (Field et al., 2009).”
Global angiosperm family richness revisited: linking ecology and evolution to climate (2011, background): “Broad-scale richness gradients are closely associated with contemporary climate (Wright et al., 1993; Hawkins et al., 2003; Field et al., 2009).”
Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, background): “Although this strong assumption is supported by the often close correlations between current climate and species ranges (see Field et al., 2009 and references therein) it is not exempt from controversy, since other environmental factors, biotic interactions and historical and populational processes…”
Biodiversity of Palaearctic grasslands: a synthesis (2014, background): “Regarding spatial scale (grain size), theory predicts that different drivers should prevail at different spatial scales (Shmida and Wilson, 1985), and recent meta-analyses confirmed this view (Field et al., 2009; Siefert et al., 2012).”
SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages (2011, methodology): “10 In step 3, the expected value of species richness (or another assemblage property) per analytical unit may be determined theoretically by applying a function based on macroecological theory (Rahbek et al., 2007; Field et al., 2009; Gotelli et al., 2009) or empirically by using any MEM approach.”
Patterns of beta diversity in Europe: the role of climate, land cover and distance across scales (2012, background): “Numerous empirical studies have linked geographic patterns of species richness (alpha diversity) to climate (Mittelbach et al., 2001; Hawkins et al., 2003; Currie et al., 2004; Field et al., 2009) and described the dependence of species richness on a spatial scale (Preston, 1960; Rahbek, 2005).”
Coupling between macrofauna community structure and beach type: a deconstructive meta-analysis (2011, background): “In terrestrial systems, for example, climate plays important roles at large scales (Currie et al. 2004) and productivity is also a determinant of species richness (Field et al. 2009).”
Climate‐based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna (2009, background): “The mechanistic explanation for these relationships remains a matter of debate, and the conclusions of any study of patterns of species richness are strongly affected by the spatial scale at which they are conducted (Field et al., 2009).”
Scale- and taxon-dependent biodiversity patterns of dry grassland vegetation in Transylvania (2014, background): “This study reinforces the theory that species richness–environment relationships are strongly scale-dependent (Field et al., 2009; Siefert et al., 2012).”