A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
Aim: 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...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/378690 |
| Acceso en línea: | http://hdl.handle.net/10261/378690 https://api.elsevier.com/content/abstract/scopus_id/85064640393 |
| Access Level: | acceso abierto |
| Palabra clave: | BIOMOD Consensus forecast Ecological niche models Species distribution model Ensemble Habitat suitability models |
| Sumario: | Aim: 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. |
|---|