Positional errors in species distribution modelling are not overcome by the coarser grains of analysis-Reference-Cited by-同舟云学术

Positional errors in species distribution modelling are not overcome by the coarser grains of analysis

Published:2022-08-20 Issue:10 Volume:13 Page:2289-2302
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Gábor Lukáš¹²³^ORCID,Jetz Walter²³^ORCID,Lu Muyang²³^ORCID,Rocchini Duccio¹⁴^ORCID,Cord Anna⁵^ORCID,Malavasi Marco¹^ORCID,Zarzo‐Arias Alejandra¹⁶⁷^ORCID,Barták Vojtěch¹^ORCID,Moudrý Vítězslav¹^ORCID

Affiliation:

1. Department of Spatial Sciences, Faculty of Environmental Sciences Czech University of Life Sciences Prague Praha – Suchdol Czech Republic

2. Department of Ecology and Evolutionary Biology Yale University New Haven Connecticut USA

3. Center for Biodiversity and Global Change Yale University New Haven Connecticut USA

4. BIOME Lab, Department of Biological, Geological and Environmental Sciences Alma Mater Studiorum University of Bologna Bologna Italy

5. Institute of Geography Technische Universität Dresden Dresden Germany

6. Universidad de Oviedo Oviedo Asturias Spain

7. Department of Biogeography and Global Change Museo Nacional de Ciencias Naturales (MNCN‐CSIC) Madrid Spain

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13956

Reference114 articles.

1. Novel competitors shape species’ responses to climate change

2. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

3. Standards for distribution models in biodiversity assessments

4. Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research

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