Climate change alters global invasion vulnerability among ecoregions

Aim: We assess climate similarity among global freshwater and terrestrial ecoregions under historical and future climate scenarios to determine where climate change will impact the climate filter of invasion process.
Location: Global.
Methods: We used the Climatch algorithm to conduct a climate-match analysis to quantify the climate similarity between freshwater and terrestrial ecoregions of the world. Climate match was modelled between all freshwater and terrestrial ecoregions. The analysis was conducted under historical climates and projected climates of 2090 under three shared-socioeconomic pathways SSP2-4.5, SSP3-7.0, SSP5-8.5. Climate matches of each ecoregion were presented as mean climate match to all other ecoregions. Friedman’s non-parametric rank sum two-way analysis of variance with repeated measures was used to examine differences in climate match between climate scenarios. , The original datasets were accessed from publicly available sources.
Biogeographic spatial units:

Freshwater ecoregions of the world (Abell et al. 2008)
Terrestrial ecoregions of the world (Olson et al. 2001)

Climate data:Worldclim.org (Fick, S.E. and R.J. Hijmans, 2017) - Accessed December 2020.
Climate matching:Climate match was computed between all ecoregions both as recipients and sources for each freshwater and terrestrial set, under historical and projected future climate conditions. The \"Climatch\" algorithm (Pheloung 1996; Crombie et al. 2008) was used., All code is written in R. , Description of data and code

Public data
Climate data is accessible from:
Historical period:https://worldclim.org/data/worldclim21.html
Future projections: https://worldclim.org/data/cmip6/cmip6climate.html

Ecoregion data is available from:
Freshwater: https://www.feow.org/download
Terrestrial: https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world

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All scripts used in this publication were coded under R version 4.3.0 (2023-04-21 ucrt)
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File \"1\_Climate\_data.R\" loads and wrangles climate data extracting climate data from each ecoregion and computing the global variance used in climate matching.

File \"2\_Climate\_matching.R\" loads extracted climate data and runs all the climate matches in parallel across 7 cores as written (runs in \~65 hours; Intel i7-9700K @ 3.6 GHz 8 core processor). Averages matches across GCMs for each shared-socioeconomic pathway. For climate matching a local package developed by article authors was used. See the \"Euclimatch\" R ...