General Theory and Good Practices in Ecological Niche Modeling: A Basic Guide
Marianna V. P. Simões, Daniel Romero-Álvarez, Claudia Nuñez‐Penichet, Laura Jiménez, Marlon E. Cobos
Abstract
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Marianna V. P. Simões, Daniel Romero-Álvarez, Claudia Nuñez‐Penichet, Laura Jiménez, Marlon E. Cobos
Abstract
Open-access reader
Ecological niche modeling (ENM) and species distribution modeling (SDM) are sets of tools that allow the estimation of distributional areas on the basis of establishing relationships among known occurrences and environmental variables. These tools have a wide range of applications, particularly in biogeography, macroecology, and conservation biology, granting prediction of species potential distributional patterns in the present and dynamics of these areas in different periods or scenarios. Due to their relevance and practical applications, the usage of these methodologies has significantly increased throughout the years. Here, we provide a manual with the basic routines used in this field and a practical example of its implementation to promote good practices and guidance for new users.
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Ecological niche modeling (ENM) and species distribution modeling (SDM) are sets of tools that allow the estimation of distributional areas on the basis of establishing relationships among known occurrences and environmental variables. These tools have a wide range of applications, particularly in biogeography, macroecology, and conservation biology, granting prediction of species potential distributional patterns in the present and dynamics of these areas in different periods or scenarios. Due to their relevance and practical applications, the usage of these methodologies has significantly increased throughout the years. Here, we provide a manual with the basic routines used in this field and a practical example of its implementation to promote good practices and guidance for new users.
Key concepts: Environmental niche modelling, Macroecology, Relevance (law), Niche, Range (aeronautics), Computer science, Field (mathematics), Ecology