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Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps

Managing multiple ecosystem services (ES) in agricultural landscapes is a challenging task, especially in regions with complex topographical and agro-ecological conditions. These challenges require ES assessment approaches that go beyond the case study level and provide multi-temporal information at...

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Autores principales: Egarter Vigl, Lukas, Tasser, Erich, Schirpke, Uta, Tappeiner, Ulrike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959402/
https://www.ncbi.nlm.nih.gov/pubmed/32009851
http://dx.doi.org/10.1007/s10113-017-1132-6
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author Egarter Vigl, Lukas
Tasser, Erich
Schirpke, Uta
Tappeiner, Ulrike
author_facet Egarter Vigl, Lukas
Tasser, Erich
Schirpke, Uta
Tappeiner, Ulrike
author_sort Egarter Vigl, Lukas
collection PubMed
description Managing multiple ecosystem services (ES) in agricultural landscapes is a challenging task, especially in regions with complex topographical and agro-ecological conditions. These challenges require ES assessment approaches that go beyond the case study level and provide multi-temporal information at a transnational level. We used a spatiotemporal approach to examine the impact of specific land use/land cover (LULC) trajectories on eight ES for the past 150 years. We show how a spatially explicit ES upscaling procedure, from case study to an Alpine-wide level, based on topographical, agro-ecological and socioeconomic parameters, can improve our understanding of ES dynamics and bundles. Our results indicated that the provision of multiple ES was not stable during the 150 years surveyed, mainly depending on the prevailing land management type and the biophysical conditions. ES bundle mapping enabled us to identify landscapes with consistent socioecological characteristics that are most likely to either enhance or diminish the provision of specific types of services. By introducing a spatiotemporal perspective into ES assessment, we provide clear evidence of the dynamic nature of ES provision and contribute to identifying processes and drivers behind these interactions. Our results emphasize that mountain ES supply is particularly sensitive to long-term LULC change, to biophysical characteristics and to regional socioeconomic conditions. They indicate the benefit of integrating of ES bundles into environmental policies at national and transnational level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10113-017-1132-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-69594022020-01-29 Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps Egarter Vigl, Lukas Tasser, Erich Schirpke, Uta Tappeiner, Ulrike Reg Environ Change Original Article Managing multiple ecosystem services (ES) in agricultural landscapes is a challenging task, especially in regions with complex topographical and agro-ecological conditions. These challenges require ES assessment approaches that go beyond the case study level and provide multi-temporal information at a transnational level. We used a spatiotemporal approach to examine the impact of specific land use/land cover (LULC) trajectories on eight ES for the past 150 years. We show how a spatially explicit ES upscaling procedure, from case study to an Alpine-wide level, based on topographical, agro-ecological and socioeconomic parameters, can improve our understanding of ES dynamics and bundles. Our results indicated that the provision of multiple ES was not stable during the 150 years surveyed, mainly depending on the prevailing land management type and the biophysical conditions. ES bundle mapping enabled us to identify landscapes with consistent socioecological characteristics that are most likely to either enhance or diminish the provision of specific types of services. By introducing a spatiotemporal perspective into ES assessment, we provide clear evidence of the dynamic nature of ES provision and contribute to identifying processes and drivers behind these interactions. Our results emphasize that mountain ES supply is particularly sensitive to long-term LULC change, to biophysical characteristics and to regional socioeconomic conditions. They indicate the benefit of integrating of ES bundles into environmental policies at national and transnational level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10113-017-1132-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-03-11 2017 /pmc/articles/PMC6959402/ /pubmed/32009851 http://dx.doi.org/10.1007/s10113-017-1132-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Egarter Vigl, Lukas
Tasser, Erich
Schirpke, Uta
Tappeiner, Ulrike
Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title_full Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title_fullStr Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title_full_unstemmed Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title_short Using land use/land cover trajectories to uncover ecosystem service patterns across the Alps
title_sort using land use/land cover trajectories to uncover ecosystem service patterns across the alps
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959402/
https://www.ncbi.nlm.nih.gov/pubmed/32009851
http://dx.doi.org/10.1007/s10113-017-1132-6
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