Sediment connectivity linked to vegetation using UAVs: High-resolution imagery for ecosystem management.

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dc.contributor.author Estrany, Joan
dc.contributor.author Ruiz, Maurici
dc.contributor.author Calsamiglia, Aleix
dc.contributor.author Carriquí, Marc
dc.contributor.author García-Comendador, Julián
dc.contributor.author Nadal, Miquel
dc.contributor.author Fortesa, Josep
dc.contributor.author López-Tarazón, José A.
dc.contributor.author Medrano, Hipólito
dc.contributor.author Gago, Jorge
dc.date.accessioned 2023-09-01T07:41:01Z
dc.identifier.uri http://hdl.handle.net/11201/161503
dc.description.abstract [eng] In this study, a low-cost unmanned aerial vehicle was used to obtain multi-spectral high-resolution imagery (1.4 cm px−1) from 2 microcatchments (3.3 ha) with burned Mediterranean shrubland and pine forests. This imagery was used to calculate the blue normalized differential vegetation index and to generate digital elevation models for estimating the sediment connectivity index. Both indices enabled an integrated approach for deciphering how hydrological and sediment connectivity interact with vegetation as well as soil conservation structures. The application of spatial analysis improves our understanding of the feedback between biological and geomorphological processes. Local spatial data analysis established a significant link between local geomorphological and biological factors, enabling a precise identification of homogeneous areas at micro-catchment scale and the minimal size of vegetation units reacting to geomorphology as natural groups at plot-scale where management strategies and efforts should be applied. Establishing this local relationship between sediment connectivity and vegetation patterns through new and interdisciplinary methodologies represents a new strategy for the assessment of ecosystem dynamics and management.
dc.format application/pdf
dc.relation.isformatof Versió postprint del document publicat a: https://doi.org/10.1016/j.scitotenv.2019.03.399
dc.relation.ispartof Science of the Total Environment, 2019, vol. 671, p. 1192-1205
dc.rights cc-by-nc-nd (c) Elsevier B.V., 2019
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.classification 57 - Biologia
dc.subject.classification Geografia
dc.subject.other 57 - Biological sciences in general
dc.subject.other Geography
dc.title Sediment connectivity linked to vegetation using UAVs: High-resolution imagery for ecosystem management.
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/acceptedVersion
dc.date.updated 2023-09-01T07:41:02Z
dc.date.embargoEndDate info:eu-repo/date/embargoEnd/2100-01-01
dc.embargo 2100-01-01
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
dc.identifier.doi https://doi.org/10.1016/j.scitotenv.2019.03.399


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cc-by-nc-nd (c) Elsevier B.V., 2019 Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier B.V., 2019

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