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CATS: A high-performance software framework for simulating plant migration in changing environments

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Considering local population dynamics and dispersal is crucial to project species' range adaptations in changing environments. Dynamic models including these processes are highly computer intensive, with consequent restrictions on spatial extent and/or resolution. We present CATS, an open-source, extensible modelling framework for simulating spatially and temporarily explicit population dynamics of plants. It can be used in conjunction with species distribution models, or via direct parametrisation of vital rates and allows for fine-grained control over the demographic and dispersal processes' models. The performance and flexibility of CATS is exemplified (i) by modelling the range shift of four plant species under three future climate scenarios across Europe at a spatial resolution of 100 m., and (ii) by exploring consequences of demographic compensation for range expansion on artificial landscapes. The presented software attempts to leverage the availability of computational resources and lower the barrier of entry for large-extent, fine-resolution simulations of plant range shifts in changing environments.

Original languageEnglish
Pages (from-to)2226-2232
Number of pages7
JournalMethods in Ecology and Evolution
Volume14
Issue number9
DOIs
Publication statusPublished - Sept 2023

Funding

CATS development was supported by the EU 6th Framework Programme for Research, Technological Development and Demonstration (project ECOCHANGE, GOCE‐CT‐2007‐036866), the Austrian Science Fund FWF (project P 31014 and I 5083) and the European research Council ERC under the European Union's Horizon 2020 research and innovation programme (project MICROCLIM, GGA 883669). We thank the Vienna Scientific Cluster for granting access to its computational resources and Michael Herzog ( [email protected] ) for designing Figure 1 . The study has been supported by the TRY initiative on plant traits ( https://www.try‐db.org ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Austrian Fields of Science 2012

  • 106030 Plant ecology

Keywords

  • environmental change
  • high-performance modelling
  • spatiotemporal plant population dynamics
  • species ranges

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