Recently, Hufbauer, R. A. et al. 2012. [Anthropogenically induced adaptation to invade (AIAI): contemporary adaptation to human-altered habitats within the native range can promote invasions. - Evolutionary Applications 5: 89-101.] suggested that native-range adaptation to human-dominated habitats can promote invasion success of non-native species.
Web of Science and Google Scholar searches yield a few papers that have tried testing this hypothesis, but I wonder whether there are any papers that use Species Distribution Models (aka Ecological Niche Models) to explore this hypothesis.
Specifically, I am looking for studies that, in order to generate prediction of invasion risk for a certain area, apply native-range based Species Distribution Models (i.e. models based on native-range occurrences only) using two sets of explanatory variables: one set with bioclimatic variables only, and a second set where a measure of human influence (e.g. human footprint) is added to the bioclimatic variables. Ideally, the studies should be able to test the accuracy of the invasion risk predictions using an independent set of non-native range occurrences.
I was able to find quite a few publications that compare the relative contribution of human impact in the invaded range with native-range derived measures of climate suitability, but I am specifically looking for studies that incorporate human impacts in the native range models.
Can anyone here suggest me some papers or researchers to contact? You can contact me here or directly via [email protected]. Thanks in advance!
I may suggest that the task is similar to weed vs. wild plant adaptivity comparison.
Some related papers:
Lavin M, Brummer TJ, Quire R, Maxwell BD, and Rew LJ (2013) Physical disturbance shapes vascular plant diversity more profoundly than fire in the sagebrush steppe of southeastern Idaho, USA. Ecology and Evolution, 3, 1-16.
Adaptive Differentiation of Quantitative Traits in the Globally Distributed Weed, Wild Radish (Raphanus raphanistrum) Genetics. 2008 October; 180(2): 945–955.
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