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RangeShiftR: an R package for individual‐based simulation of spatial eco‐evolutionary dynamics and species' responses to environmental changes

https://doi.org/10.1111/ecog.05689
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Fifteen forms of biodiversity trend in the Anthropocene
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The importance of realistic dispersal models in conservation planning: application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot
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Range S hifter: a platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes
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Opening the black box: an open‐source release of Maxent
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demoniche – an R‐package for simulating spatially‐explicit population dynamics
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The art of modelling range-shifting species
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Introducing a ‘stochastic movement simulator’ for estimating habitat connectivity
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Modelling dispersal: an eco‐evolutionary framework incorporating emigration, movement, settlement behaviour and the multiple costs involved
inferredcites →https://doi.org/10.1126/science.aad8466openalex-snapshot
Improving the forecast for biodiversity under climate change
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Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
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BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
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dismo: Species Distribution Modeling
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The need for an individual-based global change ecology
inferred← citeshttps://doi.org/10.1002/eap.2966openalex-snapshot
Fitting individual‐based models of spatial population dynamics to long‐term monitoring data
inferred← citeshttps://doi.org/10.1002/ece3.70773openalex-snapshot
MetaRange .jl: A Dynamic and Metabolic Species Range Model for Plant Species
inferred← citeshttps://doi.org/10.1002/ece3.74175openalex-snapshot
Individual‐Based Models Reveal Population Recovery and Impacts of Woodland Creation on Pine Martens ( Martes martes ) in Britain
inferred← citeshttps://doi.org/10.1002/oik.12209openalex-snapshot
Habitat fragmentation and amount drive within‐species variation in dispersal kernels and limit transferability across landscapes
inferred← citeshttps://doi.org/10.1002/pan3.10472openalex-snapshot
The road to integrate climate change projections with regional land‐use–biodiversity models
inferred← citeshttps://doi.org/10.1007/978-3-031-92372-2_37openalex-snapshot
Simulating Eco-Evolutionary Dynamics in Changing Landscapes: The RangeShifter Modeling Platform
inferred← citeshttps://doi.org/10.1007/978-3-032-02424-4_10openalex-snapshot
Connectivity
inferred← citeshttps://doi.org/10.1007/978-3-032-02424-4_14openalex-snapshot
What Have We Learned? Looking Back and Pressing Forward
inferred← citeshttps://doi.org/10.1007/s10980-021-01388-3openalex-snapshot
Problems seeded in the past: lagged effects of historical land-use changes can cause an extinction debt in long-lived species due to movement limitation
inferred← citeshttps://doi.org/10.1007/s10980-025-02077-1openalex-snapshot
Effects of defaunation of large seed dispersers, habitat loss and fragmentation on the population expansion of a tropical palm
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Combining occupancy and dispersal models to predict the conservation benefits of land-use change
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Establishing viable European bison metapopulations in Central Europe
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Integrating habitat suitability, connectivity, and individual-based models to guide priorities for the creation of a lynx metapopulation in Southeastern Europe
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Introducing LandScaleR: A novel method for spatial downscaling of land use projections
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Spix’s Macaw Cyanopsitta spixii (Wagler, 1832) population viability analysis
inferred← citeshttps://doi.org/10.1038/s41559-026-03125-yopenalex-snapshot
Models used for Red List assessments underestimate climate-related extinction risk of range-shifting species
inferred← citeshttps://doi.org/10.1098/rstb.2022.0194openalex-snapshot
Demography–environment relationships improve mechanistic understanding of range dynamics under climate change
inferred← citeshttps://doi.org/10.1101/2022.09.23.509134openalex-snapshot
Demography-environment relationships improve mechanistic understanding of range dynamics under climate change
inferred← citeshttps://doi.org/10.1101/2025.08.20.671260openalex-snapshot
Red List criteria underestimate climate-related extinction risk of range-shifting species
inferred← citeshttps://doi.org/10.1101/2025.08.22.671786openalex-snapshot
INDITEK-2.0: A Bayesian inverse eco-evolutionary modelling framework for reconstructing Phanerozoic biodiversity
inferred← citeshttps://doi.org/10.1101/2025.11.09.687206openalex-snapshot
Landscape context drives within-species variation in dispersal kernels and limits transferability
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Disequilibrium in plant distributions: Challenges and approaches for species distribution models
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Estimating resistance surfaces using gradient forest and allelic frequencies
inferred← citeshttps://doi.org/10.1111/2041-210x.14176openalex-snapshot
Making virtual species less virtual by reverse engineering of spatiotemporal ecological models
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Adapting genetic algorithms for multifunctional landscape decisions: A theoretical case study on wild bees and farmers in the UK
inferred← citeshttps://doi.org/10.1111/2041-210x.14461openalex-snapshot
metaRange : A framework to build mechanistic range models
inferred← citeshttps://doi.org/10.1111/2041-210x.14475openalex-snapshot
rangr: An R package for mechanistic, spatially explicit simulation of species range dynamics
inferred← citeshttps://doi.org/10.1111/ddi.70024openalex-snapshot
Supporting Reintroduction Planning: A Framework Integrating Habitat Suitability, Connectivity and Individual‐Based Modelling. A Case Study With the Eurasian Lynx in the Apennines
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RangeShifter 2.0: an extended and enhanced platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes
inferred← citeshttps://doi.org/10.1111/ecog.05787openalex-snapshot
Spatially explicit models for decision‐making in animal conservation and restoration
inferred← citeshttps://doi.org/10.1111/ecog.06132openalex-snapshot
Coupling eco‐evolutionary mechanisms with deep‐time environmental dynamics to understand biodiversity patterns
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Achieving higher standards in species distribution modeling by leveraging the diversity of available software
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Temporal environmental variation may impose differential selection on both genomic and ecological traits
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The road to integrate climate change effects on land-use change in regional biodiversity models
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