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Environmental niche modelling fails to predict <scp>L</scp>ast <scp>G</scp>lacial <scp>M</scp>aximum refugia: niche shifts, microrefugia or incorrect palaeoclimate estimates?
54
Citations
49
References
2014
Year
Range ShiftEnvironmental NicheBiodiversityEngineeringNiche ShiftsBiogeographyEnm SEvolutionary BiologyForestryContinental EcosystemBiogeomorphologySocial SciencesEcosystem AdaptationPaleoecologyMacroecologyCurrent DistributionIncorrect Palaeoclimate EstimatesClimate Change
Abstract Aim Many predictions of responses to future climate change utilize ecological niche models ( ENM s). We assess the capacity of these models to predict species distributions under conditions that differ from the current environment by testing whether they can predict past distributions of species. Location From 43° S to 31° S in south‐eastern A ustralia (including T asmania). Methods We studied three dominant tree species of temperate A ustralian mesic forests, A therosperma moschatum , E ucalyptus regnans and N othofagus cunninghamii . Phylogeographic evidence indicates that these species each survived the L ast G lacial M aximum ( LGM ) in multiple refugia. We modelled the current distribution of each species and projected those models onto LGM climates under six palaeoclimatic scenarios. The support for phylogeographic‐based glacial refugia was estimated under each scenario using three different thresholds for inferring species presence/absence. Results The LGM models under scenarios that allowed for a realistic level of rainfall failed to predict survival of the study species in refugia identified from genetic evidence, apart from those in perhumid western T asmania. Main conclusions Correct prediction of nearly all modern occurrences of the species suggests that this failure of ENM s to predict refugial survival was not methodological. Rather we conclude that the existing realized niches of these species may have changed since the LGM . Such niche changes may have involved the occurrence of non‐analogue climates in the LGM and some significant alteration of fundamental niche (for at least E . regnans ). Our results emphasize that predictions of future impacts of climate change on biodiversity will benefit from awareness of the limitations of ENM s in predicting the extinction of populations/species. Greater knowledge of how niches have changed through time and how this relates to the characteristics of species is needed to improve the reliability of ENM s. Niche changes in plants may also affect palaeoclimatic estimates based on fossil pollen.
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