dc.contributor.author | Maclean, IMD | |
dc.contributor.author | Early, R | |
dc.date.accessioned | 2023-05-02T08:37:29Z | |
dc.date.issued | 2023-04-24 | |
dc.date.updated | 2023-04-30T20:01:46Z | |
dc.description.abstract | Current conservation policy has been shaped by the expectation that, for many species, places with suitable climate will lie outside their current range, thus leading to predictions of numerous extinctions. Here we show that the magnitude of range shifts is often overestimated as climate data used do not reflect the microclimatic conditions that many organisms experience. We model the historic (1977–1995) distributions of 244 heathland and grassland plant taxa using both macro- and microclimate data and project these distributions to present day (2003–2021). Whereas macroclimate models predicted major range shifts (median 14 km shift), microclimate models predicted localized shifts, generally of less than 1 km, into favourable microclimates that more closely match observed patterns of establishment and extirpation. Thus, improving protection of refugial populations within species’ existing geographic range may, for species living in environments exposed to sunlight, be more effective than assisted translocations and overhaul of protected area networks. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.identifier.citation | Published online 24 April 2023 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41558-023-01650-3 | |
dc.identifier.grantnumber | NE/L00268X/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/133061 | |
dc.identifier | ORCID: 0000-0001-8030-9136 (Maclean, Ilya) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://crudata.uea.ac.uk/cru/data/hrg/ | en_GB |
dc.relation.url | https://www.metoffice.gov.uk/research/climate/maps-and-data/data/haduk-grid/datasets | en_GB |
dc.relation.url | https://github.com/ilyamaclean/microclima | en_GB |
dc.relation.url | https://land.copernicus.eu/pan-european/corine-land-cover | en_GB |
dc.rights.embargoreason | Under embargo until 24 October 2023 in compliance with publisher policy | en_GB |
dc.rights | © The Author(s), under exclusive licence to Springer Nature Limited 2023 | en_GB |
dc.title | Macroclimate data overestimate range shifts of plants in response to climate change | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-05-02T08:37:29Z | |
dc.identifier.issn | 1758-6798 | |
dc.description | This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability:
The global gridded 0.5° climate dataset is available from https://crudata.uea.ac.uk/cru/data/hrg/. The UK gridded climate dataset is available from https://www.metoffice.gov.uk/research/climate/maps-and-data/data/haduk-grid/datasets. Datasets required to generate the 100-m-resolution gridded climate dataset for the Lizard Peninsula are included with R package microclima16 available from https://github.com/ilyamaclean/microclima. Plant distribution datasets required to run the models are published online38. Forest-cover datasets are publicly available from UKCEH53 and https://land.copernicus.eu/pan-european/corine-land-cover. | en_GB |
dc.description | Code availability:
All data and code used for the analysis are available on request from the corresponding author and are published online38. The microclima16 R package is available from https://github.com/ilyamaclean/microclima. | en_GB |
dc.identifier.journal | Nature Climate Change | en_GB |
dc.relation.ispartof | Nature Climate Change | |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2023-03-14 | |
dcterms.dateSubmitted | 2022-03-25 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2023-04-24 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-05-02T08:35:16Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-10-23T23:00:00Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2023-04-24 | |