A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

By Tianxiao Hao, Jane Elith, G. Guillera‐Arroita, J. Lahoz‐Monfort. Diversity and Distributions: A journal of biological invasions and biodiversity, 2019

581 citations recorded by the source corpus.

The idea of combining predictions from different models into an ensemble has gained considerable popularity in species distribution modelling, partly due to free and comprehensive software such as the R package BIOMOD. However, despite proliferation of ensemble models, we lack oversight of how and where they are used for modelling distributions, and how well they perform. Here, we present such an overview.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/27ff77e8605dc7ab3fb44023b1049b465c5448c9

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

A standard protocol for reporting species distribution models (2020, methodology): “(Hao et al. 2019).”
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, methodology): “Hao et al. (2019) reviewed peer-reviewed papers between 2003 and 2016 that had applied the ensemble method implemented in BIOMOD , and found only 224 eligible papers, the majority of which were concentrated in Europe and North America.”