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dc.contributor.author
Manzo, Luz Maria  
dc.contributor.author
Epele, Luis Beltran  
dc.contributor.author
Grech, Marta Gladys  
dc.contributor.author
Kutschker, Adriana Mabel  
dc.contributor.author
Miserendino, Maria Laura  
dc.date.available
2023-08-23T13:07:25Z  
dc.date.issued
2022-11  
dc.identifier.citation
Manzo, Luz Maria; Epele, Luis Beltran; Grech, Marta Gladys; Kutschker, Adriana Mabel; Miserendino, Maria Laura; Which regionalization scheme is the best to predict wetland plant distribution in Western Patagonia?; Wiley Blackwell Publishing, Inc; Journal of Vegetation Science; 33; 6; 11-2022; 1-15  
dc.identifier.issn
1100-9233  
dc.identifier.uri
http://hdl.handle.net/11336/209031  
dc.description.abstract
Questions: Given the current multiplicity of threats to pond biodiversity, there is a clear need to examine which environmental drivers determine the composition and distribution of species. Using wetland plants as pond biodiversity surrogates, two questions led to this work: How do wetland plant species assemblages and abundance vary across local- and regional-scale classification schemes in wetlands? How does wetland plant beta-diversity vary within these wetland classification schemes?. Location: Western Patagonia, Argentina, from 36°S to 56°S and from 73°W to 65°W. Methods: Wetland plant distribution constrained by water and climatic factors was analyzed using canonical correspondence analysis. Variance partitioning analysis was performed to assess which classification scheme (phytogeographical units, wetland regions, wetland genesis and hydrogeomorphological types) better explained variation in plant composition. An IndVal analysis was also carried out to detect taxa with the highest association values (indicator taxa) for the different categories of wetland classification. Beta-diversity was calculated to evaluate variation patterns within classification schemes. Results: Plant distribution was mainly related to site location across the latitudinal gradient, following a decreasing pattern of air temperature from northern to southern wetlands. Variance partitioning analysis confirmed the effectiveness of a regional-scale classification (wetland regions) in predicting plant associations, and the IndVal analysis also highlighted this classification scheme above the remainder, sustaining the highest number of indicator taxa. Wetland plant beta-diversity patterns were explained by relatively high species turnover, with species composition showing low nestedness values. Conclusion: Climate factors rather than local characteristics were the main drivers of plant distribution at the wide regional scale analyzed. Wetland region (classification based on climatic criteria) was the most effective scheme in predicting plant associations and sustaining the highest number of indicator taxa. Also, ponds located in the Patagonian Andes and those with a glacigenic origin contribute most to the regional wetland plant diversity. Therefore, these aspects should be taken directly into account in the future delineation of protected areas to increase the resilience of Patagonian wetland habitats and their associated biota, and to maintain the ecosystem services that they provide.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BETA-DIVERSITY  
dc.subject
CLIMATE  
dc.subject
GENESIS  
dc.subject
HYDROGEOMORPHOLOGICAL TYPES  
dc.subject
PATAGONIAN WETLANDS  
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PHYTOGEOGRAPHICAL UNITS  
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WATER QUALITY  
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WETLAND PLANTS  
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WETLAND REGIONS  
dc.subject.classification
Ciencias de las Plantas, Botánica  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Which regionalization scheme is the best to predict wetland plant distribution in Western Patagonia?  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-06-29T10:11:22Z  
dc.identifier.eissn
1654-1103  
dc.journal.volume
33  
dc.journal.number
6  
dc.journal.pagination
1-15  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Manzo, Luz Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina  
dc.description.fil
Fil: Epele, Luis Beltran. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel; Argentina  
dc.description.fil
Fil: Grech, Marta Gladys. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel; Argentina  
dc.description.fil
Fil: Kutschker, Adriana Mabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel; Argentina  
dc.description.fil
Fil: Miserendino, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel; Argentina  
dc.journal.title
Journal of Vegetation Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/jvs.13157  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jvs.13157