- In this study, a low-cost unmanned aerial vehicle was used to obtain multi-spectral high-resolution imagery (1.4 cmpx(-1)) from2 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 thisIn this study, a low-cost unmanned aerial vehicle was used to obtain multi-spectral high-resolution imagery (1.4 cmpx(-1)) from2 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.…
MetadatenAuthor details: | Joan EstranyORCiD, Maurici Ruiz, Aleix CalsamigliaORCiD, Marc CarriquiORCiD, Julian Garcia-ComendadorORCiD, Miquel Nadal, Josep FortesaORCiD, José Andrés López-TarazónORCiDGND, Hipolito Medrano, Jorge GagoORCiD |
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DOI: | https://doi.org/10.1016/j.scitotenv.2019.03.399 |
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ISSN: | 0048-9697 |
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ISSN: | 1879-1026 |
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Title of parent work (English): | The science of the total environment : an international journal for scientific research into the environment and its relationship with man |
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Subtitle (English): | High-resolution imagery for ecosystem management |
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Publisher: | Elsevier |
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Place of publishing: | Amsterdam |
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Publication type: | Article |
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Language: | English |
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Year of first publication: | 2019 |
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Publication year: | 2019 |
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Release date: | 2021/01/19 |
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Tag: | BNDVI; Burned areas; Ecogeomorphology; Mediterranean shrubland; Sediment connectivity; UAVs |
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Volume: | 671 |
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Number of pages: | 14 |
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First page: | 1192 |
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Last Page: | 1205 |
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Funding institution: | Balearic Forest Service (Department of Environment Agriculture and Fisheries of the Balearic Autonomous Government); Spanish Ministry of Science, Innovation and Universities [CGL2017-88200-R]; Spanish Agency of Research (AEI) [CGL2017-88200-R]; European Regional Development Funds (ERDF)European Union (EU) [CGL2017-88200-R]; Spanish Ministry of Economy and Competitiveness [EEBB-I-15-10280]; Spanish Ministry of Education and Culture [FPU15/05239]; Ministry of Innovation, Research and Tourism of the Autonomous Government of the Balearic Islands [FPI/2048/2017]; Vicenc Mut postdoctoral fellowship - Autonomous Balearic Government [CAIB PD/038/2016]; University of the Balearic Islands |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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Peer review: | Referiert |
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