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R code and workflows for species occurrence processing, species distribution models, functional predictions, and regression analyses

Year: 2025

Type: article

Abstract: This repository contains the data, R scripts, and environmental predictors used in the study "Climate change decouples frugivore richness from seed dispersal effectiveness". It provides curated occurrence records of plants and frugivores, species distribution model predictions under present and future climate scenarios, and the code necessary to reproduce richness- and function-based predictions under climate change, as well as the regression analyses to verify richness–function decoupling. These materials allow users to replicate the modelling workflow, integrate data sources, and perform statistical analyses.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17225672

Authors: Rigacci, Eduardo D. B., Silva, Wesley R., Boom, Michiel P., Kissling, W. Daniel

Institutions: Universidade Estadual de Campinas (UNICAMP), Dutch Centre for Field Ornithology, University of Amsterdam

Language: English

Topic: Species Distribution and Climate Change

Subfield: Ecological Modeling

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: green

OpenAlex ID: W7083696636

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