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Conceptual and methodological advances in habitat‐selection modeling: guidelines for ecology and evolution
Habitat selection is a fundamental animal behavior that shapes a wide range of ecological
processes, including animal movement, nutrient transfer, trophic dynamics and population …
processes, including animal movement, nutrient transfer, trophic dynamics and population …
A checklist for maximizing reproducibility of ecological niche models
Reporting specific modelling methods and metadata is essential to the reproducibility of
ecological studies, yet guidelines rarely exist regarding what information should be noted …
ecological studies, yet guidelines rarely exist regarding what information should be noted …
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …
the most available data for SDM are species presence‐only records (available through …
Opening the black box: An open‐source release of Maxent
This software note announces a new open‐source release of the Maxent software for
modeling species distributions from occurrence records and environmental data, and …
modeling species distributions from occurrence records and environmental data, and …
A 'How to'guide for interpreting parameters in habitat‐selection analyses
Habitat‐selection analyses allow researchers to link animals to their environment via habitat‐
selection or step‐selection functions, and are commonly used to address questions related …
selection or step‐selection functions, and are commonly used to address questions related …
Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation
Popular frameworks for studying habitat selection include resource‐selection functions
(RSFs) and step‐selection functions (SSFs), estimated using logistic and conditional logistic …
(RSFs) and step‐selection functions (SSFs), estimated using logistic and conditional logistic …
How deregulation, drought and increasing fire impact Amazonian biodiversity
Biodiversity contributes to the ecological and climatic stability of the Amazon Basin,, but is
increasingly threatened by deforestation and fire,. Here we quantify these impacts over the …
increasingly threatened by deforestation and fire,. Here we quantify these impacts over the …
The area under the precision‐recall curve as a performance metric for rare binary events
Species distribution models are used to study biogeographic patterns and guide decision‐
making. The variable quality of these models makes it critical to assess whether a model's …
making. The variable quality of these models makes it critical to assess whether a model's …
Modelling species presence‐only data with random forests
The random forest (RF) algorithm is an ensemble of classification or regression trees and is
widely used, including for species distribution modelling (SDM). Many researchers use …
widely used, including for species distribution modelling (SDM). Many researchers use …
On the selection of thresholds for predicting species occurrence with presence‐only data
Presence‐only data present challenges for selecting thresholds to transform species
distribution modeling results into binary outputs. In this article, we compare two recently …
distribution modeling results into binary outputs. In this article, we compare two recently …