Equilibrium of species’ distributions with climate

By Miguel B. Araújo, Richard G. Pearson. 2005

689 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/36300501e65d349d007a106c739d65b435040307

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Citations in the corpus

Global patterns in the shape of species geographical ranges reveal range determinants (2012, background): “…species can tolerate (Sobero´n & Nakamura, 2009; Jime´nez-Valverde et al. , 2011), although the degree to which this expectation is true varies with the degree to which the species current distribution is in equilibrium with contemporary climate (Arau´jo & Pearson, 2005; Baselga & Arau´jo, 2010).”
Determinants of species richness, endemism and turnover in European longhorn beetles (2008, background): “…influenced by 1) the differential dispersal capacities of each group, which are thus in different degrees of equilibrium with current climate (Araujo and Pearson 2005); and 2) the historical (and thus probably highly contingent) processes of re-colonization of deglaciated areas, which have…”
Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, background): “…since other environmental factors, biotic interactions and historical and populational processes may also constrain species distributions (Araújo and Pearson, 2005; Lobo et al., 2006; Araújo and Luoto, 2007; Soberón, 2007, 2010; Beale et al., 2008; Jimenez-Valverde et al., 2008; Peterson…”
Adaptation, Plasticity, and Extinction in a Changing Environment: Towards a Predictive Theory (2010, background): “Aside from the methodological caveats of this approach (changing covariance of environmental variables [4], population demography not in equilibrium with changing climate [5], spatial scale of the analysis [6,7], and source-sink dynamics allowing individuals to exist outside their niche [8]), its ma”
Forecasting fish distribution along stream networks: brown trout (Salmo trutta) in Europe (2013, methodology): “First, predictions resulting from SDMs rely on the assumption that current environmental conditions are the primary drivers of the contemporary species’ distributions and that such relationships will persist in the future (Ara ujo & Pearson, 2005).”
The state of plant population modelling in light of environmental change (2008, background): “However, the advantages of top-down, coarse-grained versus bottom-up, fine-grained approaches in vegetation modelling also come at a cost: without a mechanistic basis of forecasting, such as that provided by including population processes, it is difficult to extrapolate easily to new conditions or p”
The uncertain nature of absences and their importance in species distribution modelling (2010, background): “Thus, species are never in equilibrium with the environment (Svenning and Skov 2004, Araújo and Pearson 2005) and presence points reflect their realized, not their potential, distributions.”
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “The influence of dispersal on species distributions and SDM predictions varies among terrestrial organisms (Araújo & Pearson, 2005) and the same is likely to be true for marine organisms.”
Evolution and Ecology of Species Range Limits (2009, background): “Species differ markedly in their extent of climatic disequilibrium; this may reflect differences in dispersal (Tinner & Lotter 2006), life history (Araujo & Pearson 2005), recolonization history (Stewart & Lister 2001), or stochasticity (Clark 1998).”
Assisted Colonization: A Question of Focal Units and Recipient Localities (2011, background): “Even current patterns of ectotherm distributions are far from equilibrium with current macro-climate (Araujo & Pearson 2005).”
Biogeography of Iberian freshwater fishes revisited: the roles of historical versus contemporary constraints (2009, background): “One approach to assessing the degree of equilibrium of species with the present environment is to measure patterns of covariation between species assemblages and current environmental factors (see Araújo & Pearson, 2005, and references therein).”
Updated distribution and biogeography of amphibians and reptiles of Europe (2014, background): “…following will for brevity be referred to as ‘the 1997 European Atlas’, has subsequently provided the basis for numerous studies, such as several conservation-oriented modelling approaches (e.g. Araújo and Pearson, 2005; Araújo et al., 2005; Araújo, Thuiller and Pearson, 2006; Araújo et al., 2008).”
Niches, models, and climate change: Assessing the assumptions and uncertainties (2009, methodology): “One way to reduce the uncertainty stemming from the differing projections of GCMs is to use several models in the analysis and then average the results—so-called ensemble models or consensus methods (23, 43, 81).”