Life history and spatial traits predict extinction risk due to climate change

By Richard G. Pearson, J. Stanton, K. Shoemaker, Matthew E. Aiello‐Lammens, P. Ersts, N. Horning, Damien A. Fordham, C. Raxworthy, Hae Yeong Ryu, Jason McNees and 1 more. 2014

422 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/6defdae0718344f7b1c1f22250b7601d3fdbdf6b

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Species' intrinsic traits inform their range limitations and vulnerability under environmental change (2015, positive): “There is growing interest in the use of species life-history traits to predict the capacity of species to shift their ranges in response to climate change, and thus estimate species vulnerability (Foden et al., 2013; Triviño et al., 2013; Garcia et al., 2014; Pearson et al., 2014).”
Improving the forecast for biodiversity under climate change (2016, background): “Minimally, these efforts provide qualitative insights about which types of species are most vulnerable to climate change and therefore should be targeted for future, in-depth study (22).”
The Homogocene: a research prospectus for the study of biotic homogenisation (2018, background): “In the case of incomplete information about species’ distributions, trait-based approaches might be the most straightforward solution to provide reliable estimates of future species’ extinction risk (Pearson et al. 2014) and spread (Santini et al. 2016) in data-scarce areas.”
Hot and bothered: Using trait-based approaches to assess climate change vulnerability in reptiles (2016, background): “…extinction risk, suggesting that trait-based approaches such as our current analysis and consideration of species-specific traits in IUCN Red List assessments may provide us with robust and informative assessments of species at risk from climate change (Pearson et al., 2014; Stanton et al., 2015).”
Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+ (2015, methodology): “For example, Pearson et al (2014) used fieldmeasurements of changes in carbon stocks in selectively logged areas to estimate the carbon emissions from three different components of wood harvest: the extracted log, incidental damage to surrounding trees, and infrastructure (e.g. logging roads).”
Moving beyond the guild concept: developing a practical functional trait framework for terrestrial beetles (2015, background): “For, example, these types of traits are considered key predictors of extinction risk due to climate change (Pearson et al., 2014).”
Climate change, species range shifts and dispersal corridors: an evaluation of spatial conservation models (2016, methodology): “…used to eval- uate corridor effectiveness may be replaced by other index con- sidering other sources of extinction risk propagated through time (e.g. a mixture of spatial and demographic factors obtained from metapopulational models as used in Fordham et al. (2013a) and Pearson et al. (2014)).”
Drivers of Extinction Risk in Terrestrial Vertebrates (2017, background): “Assessing a species’ vulnerability to climate change is difficult; predicting future impacts requires substantial data on a species’ life history, physiology and ecology (Pearson et al. 2014).”
Global gaps in trait data for terrestrial vertebrates (2020, background): “…processes and species coexistence (Escudero & Valladares, 2016; Zamudio et al., 2016), to investigate global patterns of life-forms and functions (Díaz et al., 2016) or to assess the vulnerability of species to environmental changes (Bohm et al., 2016; Pacifici et al., 2015; Pearson et al., 2014).”