Snow information is required in subcontinental scale predictions of mountain plant distributions
Aim To examine how snow cover and permafrost affect plant species distributions at a subcontinental extent. Location Mountain realm of Fennoscandia, northern Europe. Time period Species data from 1 January 1990-25 February 2019. Major taxa studied Arctic-alpine and boreal vascular plants. Methods We...
Published in: | Global Ecology and Biogeography |
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/332260 2024-01-07T09:40:46+01:00 Snow information is required in subcontinental scale predictions of mountain plant distributions Rissanen, Tuuli Katariina Niittynen, Pekka Soininen, Janne Luoto, Miska Department of Geosciences and Geography Helsinki Institute of Sustainability Science (HELSUS) BioGeoClimate Modelling Lab Biosciences 2021-07-06T09:08:01Z 12 application/pdf http://hdl.handle.net/10138/332260 eng eng Wiley 10.1111/geb.13315 The authors thank Babak Naimi for his help with SDMs, Juha Aalto for his help with the environmental data and Stella Thompson for checking the language. The authors also thank all current and former members of the BioGeoClimate Modelling Lab for their assistance with collecting the species observation data. The authors are grateful for financial support provided by the Doctoral School of Geosciences (GeoDoc, University of Helsinki), Arctic Avenue (spearhead research project between the University of Helsinki and Stockholm University) and Kone Foundation. Rissanen , T K , Niittynen , P , Soininen , J & Luoto , M 2021 , ' Snow information is required in subcontinental scale predictions of mountain plant distributions ' , Global Ecology and Biogeography , vol. 30 , no. 7 , pp. 1502-1513 . https://doi.org/10.1111/geb.13315 ORCID: /0000-0001-6203-5143/work/128025084 ORCID: /0000-0002-8583-3137/work/128030922 ORCID: /0000-0002-7290-029X/work/128031926 ORCID: /0000-0001-9912-4676/work/128032703 381212ee-be09-4506-b0bb-5e2f3e7ca42a http://hdl.handle.net/10138/332260 000652480200001 cc_by openAccess info:eu-repo/semantics/openAccess 1181 Ecology evolutionary biology 1171 Geosciences arctic‐ alpine vegetation boreal vegetation cryosphere snow species distribution models subcontinental vascular plants BIOTIC INTERACTIONS CLIMATE-CHANGE RICHNESS COVER DIVERSITY RESPONSES ACCURACY DURATION Article publishedVersion 2021 ftunivhelsihelda 2023-12-14T00:07:39Z Aim To examine how snow cover and permafrost affect plant species distributions at a subcontinental extent. Location Mountain realm of Fennoscandia, northern Europe. Time period Species data from 1 January 1990-25 February 2019. Major taxa studied Arctic-alpine and boreal vascular plants. Methods We examined the effect of snow persistence and permafrost occurrence on the distributions of arctic-alpine and boreal plant species while controlling for climate, topography and geological factors. Data comprised 475,811 observations from 671 species in the Fennoscandian mountains. We investigated the relationships between species distributions and environmental variables using four modelling methods and ensemble modelling building on both non-spatial and spatial models. Results Snow persistence was the most important driver of plant species distributions, with the greatest variable importance for both arctic-alpine (38.2%) and boreal (49.9%) species. Permafrost had a consistent minor effect on the predicted distributions. Arctic-alpine plants occur in areas with long snow persistence and permafrost, whereas boreal species showed the opposite habitat preferences. Main conclusions Our results highlight the importance of snow persistence in driving the distribution of vascular plant species in cold environments at a subcontinental scale. The notable contribution of the cryosphere to plant species distribution models indicates that the inclusion of snow information in particular may improve our understanding and model predictions of biogeographical patterns in cold regions. Peer reviewed Article in Journal/Newspaper Arctic Arctic Climate change Fennoscandia Fennoscandian permafrost HELDA – University of Helsinki Open Repository Arctic Global Ecology and Biogeography 30 7 1502 1513 |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
1181 Ecology evolutionary biology 1171 Geosciences arctic‐ alpine vegetation boreal vegetation cryosphere snow species distribution models subcontinental vascular plants BIOTIC INTERACTIONS CLIMATE-CHANGE RICHNESS COVER DIVERSITY RESPONSES ACCURACY DURATION |
spellingShingle |
1181 Ecology evolutionary biology 1171 Geosciences arctic‐ alpine vegetation boreal vegetation cryosphere snow species distribution models subcontinental vascular plants BIOTIC INTERACTIONS CLIMATE-CHANGE RICHNESS COVER DIVERSITY RESPONSES ACCURACY DURATION Rissanen, Tuuli Katariina Niittynen, Pekka Soininen, Janne Luoto, Miska Snow information is required in subcontinental scale predictions of mountain plant distributions |
topic_facet |
1181 Ecology evolutionary biology 1171 Geosciences arctic‐ alpine vegetation boreal vegetation cryosphere snow species distribution models subcontinental vascular plants BIOTIC INTERACTIONS CLIMATE-CHANGE RICHNESS COVER DIVERSITY RESPONSES ACCURACY DURATION |
description |
Aim To examine how snow cover and permafrost affect plant species distributions at a subcontinental extent. Location Mountain realm of Fennoscandia, northern Europe. Time period Species data from 1 January 1990-25 February 2019. Major taxa studied Arctic-alpine and boreal vascular plants. Methods We examined the effect of snow persistence and permafrost occurrence on the distributions of arctic-alpine and boreal plant species while controlling for climate, topography and geological factors. Data comprised 475,811 observations from 671 species in the Fennoscandian mountains. We investigated the relationships between species distributions and environmental variables using four modelling methods and ensemble modelling building on both non-spatial and spatial models. Results Snow persistence was the most important driver of plant species distributions, with the greatest variable importance for both arctic-alpine (38.2%) and boreal (49.9%) species. Permafrost had a consistent minor effect on the predicted distributions. Arctic-alpine plants occur in areas with long snow persistence and permafrost, whereas boreal species showed the opposite habitat preferences. Main conclusions Our results highlight the importance of snow persistence in driving the distribution of vascular plant species in cold environments at a subcontinental scale. The notable contribution of the cryosphere to plant species distribution models indicates that the inclusion of snow information in particular may improve our understanding and model predictions of biogeographical patterns in cold regions. Peer reviewed |
author2 |
Department of Geosciences and Geography Helsinki Institute of Sustainability Science (HELSUS) BioGeoClimate Modelling Lab Biosciences |
format |
Article in Journal/Newspaper |
author |
Rissanen, Tuuli Katariina Niittynen, Pekka Soininen, Janne Luoto, Miska |
author_facet |
Rissanen, Tuuli Katariina Niittynen, Pekka Soininen, Janne Luoto, Miska |
author_sort |
Rissanen, Tuuli Katariina |
title |
Snow information is required in subcontinental scale predictions of mountain plant distributions |
title_short |
Snow information is required in subcontinental scale predictions of mountain plant distributions |
title_full |
Snow information is required in subcontinental scale predictions of mountain plant distributions |
title_fullStr |
Snow information is required in subcontinental scale predictions of mountain plant distributions |
title_full_unstemmed |
Snow information is required in subcontinental scale predictions of mountain plant distributions |
title_sort |
snow information is required in subcontinental scale predictions of mountain plant distributions |
publisher |
Wiley |
publishDate |
2021 |
url |
http://hdl.handle.net/10138/332260 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Climate change Fennoscandia Fennoscandian permafrost |
genre_facet |
Arctic Arctic Climate change Fennoscandia Fennoscandian permafrost |
op_relation |
10.1111/geb.13315 The authors thank Babak Naimi for his help with SDMs, Juha Aalto for his help with the environmental data and Stella Thompson for checking the language. The authors also thank all current and former members of the BioGeoClimate Modelling Lab for their assistance with collecting the species observation data. The authors are grateful for financial support provided by the Doctoral School of Geosciences (GeoDoc, University of Helsinki), Arctic Avenue (spearhead research project between the University of Helsinki and Stockholm University) and Kone Foundation. Rissanen , T K , Niittynen , P , Soininen , J & Luoto , M 2021 , ' Snow information is required in subcontinental scale predictions of mountain plant distributions ' , Global Ecology and Biogeography , vol. 30 , no. 7 , pp. 1502-1513 . https://doi.org/10.1111/geb.13315 ORCID: /0000-0001-6203-5143/work/128025084 ORCID: /0000-0002-8583-3137/work/128030922 ORCID: /0000-0002-7290-029X/work/128031926 ORCID: /0000-0001-9912-4676/work/128032703 381212ee-be09-4506-b0bb-5e2f3e7ca42a http://hdl.handle.net/10138/332260 000652480200001 |
op_rights |
cc_by openAccess info:eu-repo/semantics/openAccess |
container_title |
Global Ecology and Biogeography |
container_volume |
30 |
container_issue |
7 |
container_start_page |
1502 |
op_container_end_page |
1513 |
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1787421568697106432 |