Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

Volume: 43, Issue: 4, Pages: 549 - 558
Published: Apr 1, 2020
Abstract
Predictive performance is important to many applications of species distribution models (SDMs). The SDM ‘ensemble’ approach, which combines predictions across different modelling methods, is believed to improve predictive performance, and is used in many recent SDM studies. Here, we aim to compare the predictive performance of ensemble species distribution models to that of individual models, using a large presence–absence dataset of eucalypt...
Paper Details
Title
Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models
Published Date
Apr 1, 2020
Journal
Volume
43
Issue
4
Pages
549 - 558
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