Land‐cover data improve bioclimatic models for anurans and turtles at a regional scale

摘要: Aim  We investigated whether accounting for land cover could improve bioclimatic models eight species of anurans and three turtles at a regional scale. then tested spatial autocorrelation significantly after statistically controlling the effects cover. Location  Nova Scotia, eastern Canada. Methods  Species distribution data were taken from recent (1999–2003) herpetofaunal atlas. Generalized linear used to relate presence or absence each climate land-cover variables 10-km resolution. accounted using an autocovariate third-order trend surface geographical coordinates grid square. Finally, variance partitioning was explore independent joint contributions climate, autocorrelation. Results  The inclusion increased explanatory power 10 11 species. Furthermore, including predictive performance Accounting improved model fit rare but generally did not prediction success. Variance demonstrated that this lack improvement result high correlation between trend-surface variables. Main conclusions  results study suggest can argue integration is likely produce more accurate predictions contemporary diversity. However, use simulations in climate-induced range-shift projections introduces additional uncertainty into models. Further research therefore needed determine merited.