Species distribution modellingMovementDispersalMigrationScaleMovement is a ubiquitous ecological process that influences the distribution of all species. In spite of this ecological significance, the incorporation of movement in species distribution models (SDMs) has lagged in comparison with other ...
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...
in Australia Xingyu Li1, Robert N. Emery1, Grey T. Coupland1,Yonglin Ren2 & Simon J. McKirdy1 Fuzzy logic presents a promising approach for Species Distribution Modelling by generating a value that can be used for comparative purposes termed 'environmental favourability'. ...
Species Distribution Modelling: Contrasting presence-only models with plot abundance data Vitor H. F. Gomes, Stéphanie D. IJff, Niels Raes, Iêda Leão Amaral, Rafael P. Salomão, Luiz de Souza Coelho, Francisca Dionízia de Almeida Matos, Carolina V. Castilho, Diogenes de And...
To cite N-SDM or acknowledge its use, cite the Software note as follows, substituting the version of the application that you used for ‘version 1.0': Adde, A. et al. 2023. N-SDM: a high-performance computing pipeline for Nested Species Distribution Modelling. – Ecography 2023: e06272 ...
Bayesian modellingintegrated nested Laplace approximationpoint processesspecies distribution modelsstochastic partial differential equationSpecies distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing...
However, invasive species distribution models (iSDMs) face special challenges because (i) they typically violate SDM's assumption that the organism is in equilibrium with its environment, and (ii) species absence data are often unavailable or believed to be too difficult to interpret. This often ...
species distribution modellingspecies range changespecies range lossAim 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...
Osborne P, Suarez-Seoane S: Should data be partitioned spatially before building large-scale distribution models? Ecological Modelling 2002, 157:249-259. 18. Hernandez PA, Graham CH, Master LL, Albert DL: The effect of sample size and species characteristics on performance of different species ...
It includes several methods to help user to create virtual species distribution map. Those maps can be used for Species Distribution Modelling (SDM) study. SDM use environmental data for sites of occurrence of a species to predict all the sites where the environmental conditions are suitable for ...