Improving the knowledge of plant potential biodiversity-ecosystem services links using maps at the regional level in Southern Patagonia
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Improving the knowledge of plant potential biodiversity-ecosystem services links using maps at the regional level in Southern Patagonia. / Rosas, Yamina Micaela; Peri, Pablo L.; Lencinas, María Vanessa; Lasagno, Romina; Martínez Pastur, Guillermo J.
In: Ecological Processes, Vol. 10, 53, 2021.Research output: Contribution to journal › Journal article › Research › peer-review
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T1 - Improving the knowledge of plant potential biodiversity-ecosystem services links using maps at the regional level in Southern Patagonia
AU - Rosas, Yamina Micaela
AU - Peri, Pablo L.
AU - Lencinas, María Vanessa
AU - Lasagno, Romina
AU - Martínez Pastur, Guillermo J.
N1 - Funding Information: This research is part of the doctoral thesis of YMR (Facultad de Ciencias Agrarias y Forestales, Universidad Nacional de la Plata). Publisher Copyright: © 2021, The Author(s).
PY - 2021
Y1 - 2021
N2 - Background: Biodiversity supports multiple ecosystem services, whereas species loss endangers the provision of many services and affects ecosystem resilience and resistance capacity. The increase of remote sensing techniques allows to estimate biodiversity and ecosystem services supply at the landscape level in areas with low available data (e.g. Southern Patagonia). This paper evaluates the potential biodiversity and how it links with ecosystem services, based on vascular plant species across eight ecological areas. We also evaluated the habitat plant requirements and their relation with natural gradients. A total of 977 plots were used to develop habitat suitability maps based on an environmental niche factor analysis of 15 more important indicator species for each ecological area (n = 53 species) using 40 explanatory variables. Finally, these maps were combined into a single potential biodiversity map, which was linked with environmental variables and ecosystem services supply. For comparisons, data were extracted and compared through analyses of variance. Results: The plant habitat requirements varied greatly among the different ecological areas, and it was possible to define groups according to its specialization and marginality indexes. The potential biodiversity map allowed us to detect coldspots in the western mountains and hotspots in southern and eastern areas. Higher biodiversity was associated to higher temperatures and normalized difference vegetation index, while lower biodiversity was related to elevation and rainfall. Potential biodiversity was closely associated with supporting and provisioning ecosystem services in shrublands and grasslands in the humid steppe, while the lowest values were related to cultural ecosystem services in Nothofagus forests. Conclusions: The present study showed that plant species present remarkable differences in spatial distributions and ecological requirements, being a useful proxy for potential biodiversity modelling. Potential biodiversity values change across ecological areas allowing to identify hotspots and coldspots, a useful tool for landscape management and conservation strategies. In addition, links with ecosystem services detect potential synergies and trade-offs, where areas with the lowest potential biodiversity are related to cultural ecosystem services (e.g. aesthetic values) and areas with the greatest potential biodiversity showed threats related to productive activities (e.g. livestock).
AB - Background: Biodiversity supports multiple ecosystem services, whereas species loss endangers the provision of many services and affects ecosystem resilience and resistance capacity. The increase of remote sensing techniques allows to estimate biodiversity and ecosystem services supply at the landscape level in areas with low available data (e.g. Southern Patagonia). This paper evaluates the potential biodiversity and how it links with ecosystem services, based on vascular plant species across eight ecological areas. We also evaluated the habitat plant requirements and their relation with natural gradients. A total of 977 plots were used to develop habitat suitability maps based on an environmental niche factor analysis of 15 more important indicator species for each ecological area (n = 53 species) using 40 explanatory variables. Finally, these maps were combined into a single potential biodiversity map, which was linked with environmental variables and ecosystem services supply. For comparisons, data were extracted and compared through analyses of variance. Results: The plant habitat requirements varied greatly among the different ecological areas, and it was possible to define groups according to its specialization and marginality indexes. The potential biodiversity map allowed us to detect coldspots in the western mountains and hotspots in southern and eastern areas. Higher biodiversity was associated to higher temperatures and normalized difference vegetation index, while lower biodiversity was related to elevation and rainfall. Potential biodiversity was closely associated with supporting and provisioning ecosystem services in shrublands and grasslands in the humid steppe, while the lowest values were related to cultural ecosystem services in Nothofagus forests. Conclusions: The present study showed that plant species present remarkable differences in spatial distributions and ecological requirements, being a useful proxy for potential biodiversity modelling. Potential biodiversity values change across ecological areas allowing to identify hotspots and coldspots, a useful tool for landscape management and conservation strategies. In addition, links with ecosystem services detect potential synergies and trade-offs, where areas with the lowest potential biodiversity are related to cultural ecosystem services (e.g. aesthetic values) and areas with the greatest potential biodiversity showed threats related to productive activities (e.g. livestock).
KW - Conservation management
KW - Ecosystem functions
KW - Ecosystem services
KW - Environmental variables
KW - Habitat suitability
KW - Landscape modelling
U2 - 10.1186/s13717-021-00326-0
DO - 10.1186/s13717-021-00326-0
M3 - Journal article
AN - SCOPUS:85111158005
VL - 10
JO - Ecological Processes
JF - Ecological Processes
SN - 2192-1709
M1 - 53
ER -
ID: 339247966