Ecotrends: an R package for estimating habitat suitability trends over time

• ecotrends is an R package for species vulnerability assessments. • ecotrends analyses temporal trends in habitat suitability. • It calculates distribution models with a time series of environmental variables. • It uses the Maxent algorithm and Sen's slope from Kendall's rank correlation. ecotrends is an R package that provides a comprehensive framework for assessing species vulnerability by analysing temporal trends in habitat suitability. The framework consists of calculating ecological niche models successively on the same species occurrence data over time, using a time series of environmental variables, for any period and periodicity. Then, a trend analysis of habitat suitability is performed with Sen's slope, based on non-parametric Kendall's rank correlation. ecotrends includes functions for automatically gathering a yearly time series of environmental data from TerraClimate, calculating and evaluating Maxent models, assessing temporal trends in habitat suitability, and estimating variable importance. Although the built-in functions facilitate the use of a specific environmental database and modelling method, ecotrends works as well with any variables and models the user may provide. This adaptable framework can be applied to any taxon or guild, study area, spatial scale, or temporal resolution, as long as the required data are available. ecotrends offers a valuable tool for estimating species vulnerability over time and for supporting the evaluation of conservation measures. ecotrends allows the analysis of habitat suitability trends over time, requiring only species occurrence data and a time series of environmental data.

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Publication Details

Journal
Ecological Modelling
Published
2025-12-02
DOI
https://doi.org/10.1016/j.ecolmodel.2025.111426
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
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article

Ecotrends: an R package for estimating habitat suitability trends over time

Lia Duarte, Nuno Garcia, João C. Campos, Neftalí Sillero et al.
Ecological Modelling
Species Distribution and Climate Change
article

Ecotrends: an R package for estimating habitat suitability trends over time

Lia Duarte, Nuno Garcia, João C. Campos, Neftalí Sillero, A. Márcia Barbosa, Inês Freitas, Isabel Pôças, Ana Cláudia Teodoro, Salvador Arenas‐Castro, João Alírio
article en

Abstract

• ecotrends is an R package for species vulnerability assessments. • ecotrends analyses temporal trends in habitat suitability. • It calculates distribution models with a time series of environmental variables. • It uses the Maxent algorithm and Sen's slope from Kendall's rank correlation. ecotrends is an R package that provides a comprehensive framework for assessing species vulnerability by analysing temporal trends in habitat suitability. The framework consists of calculating ecological niche models successively on the same species occurrence data over time, using a time series of environmental variables, for any period and periodicity. Then, a trend analysis of habitat suitability is performed with Sen's slope, based on non-parametric Kendall's rank correlation. ecotrends includes functions for automatically gathering a yearly time series of environmental data from TerraClimate, calculating and evaluating Maxent models, assessing temporal trends in habitat suitability, and estimating variable importance. Although the built-in functions facilitate the use of a specific environmental database and modelling method, ecotrends works as well with any variables and models the user may provide. This adaptable framework can be applied to any taxon or guild, study area, spatial scale, or temporal resolution, as long as the required data are available. ecotrends offers a valuable tool for estimating species vulnerability over time and for supporting the evaluation of conservation measures. ecotrends allows the analysis of habitat suitability trends over time, requiring only species occurrence data and a time series of environmental data.

Ecological ModellingVol. 513
Universidade do Porto (PT), Centro de Estudos em Geografia e Ordenamento do Territorio (PT), Forest Research (GB), University of Córdoba (ES)
Openalex Percentile: Top 79%
Species Distribution and Climate Change
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