Data from: Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM)

负责人：

关键词：

correlated residuals;Eucalyptus viminalis cygnetensis;Eucalyptus serraensis;Eucalyptus pauciflora;Eucalyptus goniocalyx;Eucalyptus aromaphloia;Eucalyptus melliodora;Eucalyptus viminalis;Eucalyptus sabulosa;Eucalyptus;Eucalyptus obliqua;Eucalyptus victoriana;biotic interactions;Eucalyptus radiata;frogs;Amphibians;Eucalyptus willisii;Eucalyptus leucoxylon;species covariance;Eucalyptus camaldulensis;Eucalyptus rubida;Eucalyptus ovata;Eucalyptus alaticaulis;Eucalyptus baxteri;Functional traits;Eucalyptus verrucata;community assembly;Eucalyptus arenacea

DOI：

doi:10.5061/dryad.118ph65

摘要：

(JSDM) that integrates these distinct observational approaches by incorporating species co?occurrence data into a SDM. JSDMs estimate distributions

Data from: Comparing the prediction of joint species distribution models with respect to characteristics of sampling data

负责人：

关键词：

JSDM;cross validation;sampling

DOI：

doi:10.5061/dryad.rd55f

摘要：

Biotic interactions have been rarely included in traditional species distribution models, wherein Joint Species Distribution Models (JSDMs) emerge

Data from: How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems

负责人：

关键词：

GDM;HMSC;Hill diversity profile;Random Forest;SSDM;?-diversity

DOI：

doi:10.5061/dryad.2fv7mt8

摘要：

(SSDM) and joint species distribution model (JSDM), following the second and third modelling approaches, tended to overestimate ??diversity