Common mistakes in ecological niche models

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2020

Autores

sillero, n (Autor) FCUP; Barbosa, AM (Autor) Outra

Revista

Título: International Journal of Geographical Information Science

Páginas: 1-14

ISSN: 1365-8816

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 41 Citações

Scopus - 40 Citações

Outras Informações

ID Authenticus: P-00S-GH7

DOI: 10.1080/13658816.2020.1798968

Abstract (EN): Ecological niche models (ENMs) are widely used statistical methods to estimate various types of species niches. After lecturing several editions of introductory courses on ENMs and reviewing numerous manuscripts on this subject, we frequently faced some recurrent mistakes: 1) presence-background modelling methods, such as Maxent or ENFA, are used as if they were pseudo-absence methods; 2) spatial autocorrelation is confused with clustering of species records; 3) environmental variables are used with a higher spatial resolution than species records; 4) correlations between variables are not taken into account; 5) machine-learning models are not replicated; 6) topographical variables are calculated from unprojected coordinate systems, and; 7) environmental variables are downscaled by resampling. Some of these mistakes correspond to student misunderstandings and are corrected before publication. However, other errors can be found in published papers. We explain here why these approaches are erroneous and we propose ways to improve them.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14