Integrating GIS-based environmental data into evolutionary biology.

By Kenneth H Kozak, Catherine H. Graham, John J. Wiens. Trends in Ecology & Evolution, 2008

489 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/9be977fd5b671bb80d0964c8465d59c8187fe209

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Citations in the corpus

The role of molecular genetics in sculpting the future of integrative biogeography (2008, background): “Most recently, these models are beginning to be integrated with georeferenced ecological and morphological information to test alternative spatial models of climate-driven and ecologically deterministic community diversifi cation and distribution (Hugall et al., 2002; Graham et al., 2004; Carstens e”
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias (2014, background): “Environmental layers, such as the global climate variables developed in the WorldClim project [32], offer continuous description of very large areas [33].”
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela (2010, background): “In contrast, GIS-based correlative modelling approaches can be applied to a large number of species, and have recently been widely used to predict species potential distributions (Peterson, 2003; Kozak et al., 2008).”
THE BIOLOGY OF SPECIATION (2010, methodology): “This approach uses GIS technology to build a predictive map of suitable environmental conditions from spatial data on abiotic variables and species occurrences (Peterson and Vieglais 2001; Kozak and Wiens 2006; Kozak et al. 2008; Nakazato et al. 2008; Warren et al. 2008).”
Insular Woodiness on the Canary Islands: A Remarkable Case of Convergent Evolution (2013, background): “Integrating georeferenced environmental data and evolutionary biology is an efficient way to reveal new insights into the ecological causes of evolutionary patterns (Kozak et al. 2008; Evans et al. 2009; Yesson et al. 2009; Boucher et al. 2012).”
Phylogeography: its development and impact in Australo-Papuan ornithology with special reference to paraphyly in Australian birds (2009, background): “Examples of the approach are from South American (Peterson and Nyári 2007) and North American (Ruegg et al. 2006) birds, Australian frogs (McGuigan et al. 1998) and land snails (Hugall et al. 2002) as well as reviews by Kozak et al. (2008) and Swenson (2008).”
Historical Biogeography: Evolution in Time and Space (2012, background): “ENMs (Peterson et al. 1999; Kozak et al. 2008) use the association between distribution data (species occurrences) and environmental variables (e.”
Species diversification and phylogeographical patterns of birds in response to the uplift of the Qinghai-Tibet Plateau and Quaternary glaciations (2014, unknown): “…such as integration with geographic information systems (GISs) and ecological niche modeling (ENM), have recently been used in phylogeography to better understand the ecological causes of population history (Brotons et al., 2004; Kozak et al., 2008; Smith et al., 2011; Zhao et al., 2012).”
Applications of species distribution modeling to paleobiology (2011, background): “…is increasingly highlighted as an important tool for testing phylogeographic hypotheses (Knowles et al., 2007; Richards et al., 2007; Smith, 2007; Kozak et al., 2008) and applied in different ways in an increasing number of studies (Cheddadi et al., 2006; Carstens and Richards, 2007; Knowles et…”
Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (2009, background): “Such mechanistic analyses of functional trait variation hold great promise for addressing topics such as niche conservatism, which at present are being explored using correlative models that consider the habitats of organisms as if they were traits (Wiens & Graham 2005; Kozak et al. 2008 ).”
Phylogenetic Methods in Biogeography (2011, background): “Ecological niche modeling (ENM) uses the association between observed species occurrences and environmental variables (e.g., temperature, precipitation) to predict species ranges (Kozak et al. 2008).”
Building evolutionary resilience for conserving biodiversity under climate change (2010, background): “When combined with GIS environmental data across species’ distributions (Lipow et al. 2007), such approaches enable much more sophisticated insight into the factors underlying phenotypic divergence both within and between species (Kozak et al. 2008).”