Web of Science: 31 cites, Scopus: 33 cites, Google Scholar: cites,
Local vegetation trends in the Sahel of Mali and Senegal using long time series FAPAR satellite products and field measurement (1982-2010)
Brandt, Martin (University of Bayreuth. Institute of Geography)
Verger Ten, Aleixandre (Centre de Recerca Ecològica i Aplicacions Forestals)
Diouf, Abdoul Aziz (Centre de Suivi Ecologique. Dakar-Fann)
Baret, Frédéric (Unité mixte de recherches. Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes et Institut National de Recherche Agronomique)
Samimi, Cyrus (University of Bayreuth. BayCEER)

Data: 2014
Resum: Local vegetation trends in the Sahel of Mali and Senegal from Geoland Version 1 (GEOV1) (5 km) and the third generation Global Inventory Modeling and Mapping Studies (GIMMS3g) (8 km) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) time series are studied over 29 years. For validation and interpretation of observed greenness trends, two methods are applied: (1) a qualitative approach using in-depth knowledge of the study areas and (2) a quantitative approach by time series of biomass observations and rainfall data. Significant greening trends from 1982 to 2010 are consistently observed in both GEOV1 and GIMMS3g FAPAR datasets. Annual rainfall increased significantly during the observed time period, explaining large parts of FAPAR variations at a regional scale. Locally, GEOV1 data reveals a heterogeneous pattern of vegetation change, which is confirmed by long-term ground data and site visits. The spatial variability in the observed vegetation trends in the Sahel area are mainly caused by varying tree- and land-cover, which are controlled by human impact, soil and drought resilience. A large proportion of the positive trends are caused by the increment in leaf biomass of woody species that has almost doubled since the 1980s due to a tree cover regeneration after a dry-period. This confirms the re-greening of the Remote Sens. 2014, 6 2409 Sahel, however, degradation is also present and sometimes obscured by greening. GEOV1 as compared to GIMMS3g made it possible to better characterize the spatial pattern of trends and identify the degraded areas in the study region.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Land degradation ; Greening ; Drought ; Sahel ; FAPAR time series ; GIMMS3g ; Geoland ; Biomass observations ; Senegal ; Mali
Publicat a: Remote sensing, Vol. 6 Issue 3 (March 2014) , p. 2408-2434, ISSN 2072-4292

DOI: 10.3390/rs6032408

27 p, 5.8 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
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