Conceptual and methodological advances in habitat‐selection modeling: guidelines for ecology and evolution

JM Northrup, E Vander Wal, M Bonar… - Ecological …, 2022 - Wiley Online Library
Habitat selection is a fundamental animal behavior that shapes a wide range of ecological
processes, including animal movement, nutrient transfer, trophic dynamics and population …

A checklist for maximizing reproducibility of ecological niche models

X Feng, DS Park, C Walker, AT Peterson… - Nature Ecology & …, 2019 - nature.com
Reporting specific modelling methods and metadata is essential to the reproducibility of
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

R Valavi, G Guillera‐Arroita… - Ecological …, 2022 - Wiley Online Library
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 …

Opening the black box: An open‐source release of Maxent

SJ Phillips, RP Anderson, M Dudík, RE Schapire… - …, 2017 - Wiley Online Library
This software note announces a new open‐source release of the Maxent software for
modeling species distributions from occurrence records and environmental data, and …

A 'How to'guide for interpreting parameters in habitat‐selection analyses

J Fieberg, J Signer, B Smith… - Journal of Animal …, 2021 - Wiley Online Library
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 …

Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation

S Muff, J Signer, J Fieberg - Journal of Animal Ecology, 2020 - Wiley Online Library
Popular frameworks for studying habitat selection include resource‐selection functions
(RSFs) and step‐selection functions (SSFs), estimated using logistic and conditional logistic …

How deregulation, drought and increasing fire impact Amazonian biodiversity

X Feng, C Merow, Z Liu, DS Park, PR Roehrdanz… - Nature, 2021 - nature.com
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 …

The area under the precision‐recall curve as a performance metric for rare binary events

HR Sofaer, JA Hoeting… - Methods in Ecology and …, 2019 - Wiley Online Library
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 …

Modelling species presence‐only data with random forests

R Valavi, J Elith, JJ Lahoz‐Monfort… - Ecography, 2021 - Wiley Online Library
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 …

On the selection of thresholds for predicting species occurrence with presence‐only data

C Liu, G Newell, M White - Ecology and evolution, 2016 - Wiley Online Library
Presence‐only data present challenges for selecting thresholds to transform species
distribution modeling results into binary outputs. In this article, we compare two recently …