Europe's green arteries-A continental dataset of riparian zones

Riparian zones represent ecotones between terrestrial and aquatic ecosystems and are of utmost importance to biodiversity and ecosystem functions. Modelling/mapping of these valuable and fragile areas is needed for improved ecosystem management, based on an accounting of changes and on monitoring of...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/21980
Acceso en línea:
https://doi.org/10.3390/rs8110925
https://repository.urosario.edu.co/handle/10336/21980
Palabra clave:
Ciencias de la tierra
Economía de la tierra
Riparian zone
Transitional environment
Riparian forest buffer
Spatial modelling
Mapping
Spatial ecology
Ecosystem functions
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License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv Europe's green arteries-A continental dataset of riparian zones
title Europe's green arteries-A continental dataset of riparian zones
spellingShingle Europe's green arteries-A continental dataset of riparian zones
Ciencias de la tierra
Economía de la tierra
Riparian zone
Transitional environment
Riparian forest buffer
Spatial modelling
Mapping
Spatial ecology
Ecosystem functions
title_short Europe's green arteries-A continental dataset of riparian zones
title_full Europe's green arteries-A continental dataset of riparian zones
title_fullStr Europe's green arteries-A continental dataset of riparian zones
title_full_unstemmed Europe's green arteries-A continental dataset of riparian zones
title_sort Europe's green arteries-A continental dataset of riparian zones
dc.subject.ddc.spa.fl_str_mv Ciencias de la tierra
Economía de la tierra
topic Ciencias de la tierra
Economía de la tierra
Riparian zone
Transitional environment
Riparian forest buffer
Spatial modelling
Mapping
Spatial ecology
Ecosystem functions
dc.subject.keyword.spa.fl_str_mv Riparian zone
Transitional environment
Riparian forest buffer
Spatial modelling
Mapping
Spatial ecology
Ecosystem functions
description Riparian zones represent ecotones between terrestrial and aquatic ecosystems and are of utmost importance to biodiversity and ecosystem functions. Modelling/mapping of these valuable and fragile areas is needed for improved ecosystem management, based on an accounting of changes and on monitoring of their functioning over time. In Europe, the main legislative driver behind this goal is the European Commission's Biodiversity Strategy to 2020, on the one hand aiming at halting biodiversity loss, on the other hand enhancing ecosystem services by 2020, and restoring them as far as is feasible. A model, based on Earth Observation data, including Digital Elevation Models, hydrological, soil, land cover/land use data, and vegetation indices is employed in a multi-modular and stratified approach, based on fuzzy logic and object based image analysis, to delineate potential, observed and actual riparian zones. The approach is designed in an open modular way, allowing future modifications and repeatability. The results represent a first step of a future monitoring and assessment campaign for European riparian zones and their implications on biodiversity and on ecosystem functions and services. Considering the complexity and the enormous extent of the area, covering 39 European countries, including Turkey, the level of detail is unprecedented. Depending on the accounting modus, 0.95%-1.19% of the study area can be attributed as actual riparian area (considering Strahler's stream orders 3-8, based on the Copernicus EU-Hydro dataset), corresponding to 55,558-69,128 km2. Similarly, depending on the accounting approach, the potential riparian zones cover an area about 3-5 times larger. Land cover/land use in detected riparian areas was mainly of semi-natural characteristics, while the potential riparian areas are predominately covered by agriculture, followed by semi-natural and urban areas. © 2016 by the authors.
publishDate 2016
dc.date.created.none.fl_str_mv 2016
dc.date.issued.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-12T11:56:21Z
dc.date.available.none.fl_str_mv 2020-05-12T11:56:21Z
dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/rs8110925
dc.identifier.issn.none.fl_str_mv 2072-4292
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/21980
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dc.relation.citationIssue.none.fl_str_mv No. 11
dc.relation.citationTitle.none.fl_str_mv Remote Sensing
dc.relation.citationVolume.none.fl_str_mv Vol. 8
dc.relation.ispartof.spa.fl_str_mv Remote Sensing, ISSN: 2072-4292 Vol. 8, No. 11 (2016)
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