We built species distribution models (SDMs) for 22 tree species of Piedmont, an Alpine administrative region of north-western Italy. We compared (i) a fine-scale model calibrated with a local forest inventory with a 250-m spatial resolution at the extent of Piedmont and a regional climate ...
Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, ...
SDMs在生态和保护研究中的广泛应用,部分原因是网络上地理参考物种记录(如GBIF、SpeciesLink)和环境数据(如WorldClim、CliMond)的日益可得性,以及某些建模方法的易用性。最常用的SDM之一是MaxEnt。这种机器学习算法根据已知出现点的环境条件,在一组约束条件下估计出物种的最大熵概率分布(最接近均匀分布)。MaxEnt是一种仅...
Species distribution models (SDMs) are frequently used to understand the influence of site properties on species occurrence. For robust model inference, SDMs need to account for the spatial autocorrelation of virtually all species occurrence data. Current methods do not routinely distinguish between ...
The Species Distribution Models (SDMs) for both E. fornicatus and E. perbrevis produced significantly varying maps of presence probability and environmental favourability across Australia (Figs. 2 and 3). The probability of presence maps (Figs. 2a, c and e and 3a, c and e) generated...
Also, we considered only a small area for model training and transferability possibly explaining why climatic variables contributed the least in our models. For SDMs over large spatial scale, climatic variables may have greater effect in determining the distribution of species. In this study, we ...
Species distribution models (SDMs) can help fill knowledge gaps for poorly understood species by predicting suitable habitats within an area of interest, providing information about habitat variables important to the species’ distribution, and predicting responses to future climate conditions (Elith and ...
Species distribution models (SDMs) for Eschscholzia californica in central Chile.Species distribution models (SDMs) for Eschscholzia californica in central Chile.Francisco, T. PeñaGómezPablo, C. GuerreroGustavo, BizamaMilén, DuarteRamiro, O. Bustamante...
Aim Statistical species distribution models (SDMs) are the most common tool to predict the impact of climate change on biodiversity. They can be tuned to fit relationships at various levels of complexity (defined here as parameterization complexity, number of predictors, and multicollinearity) that ...
The aim of this study was to use species distribution models (SDMs) to estimate the effects of environmental variables on the habitat suitability of Syzygium caryophyllatum (L.) Alston. SDMs help to identify suitable ha...