Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon

Autor: Johan Oszwald, Damien Arvor, L. J. M. de Freitas, J. Baudry, Hélène Dessard, Lilian Blanc, R. Le Roux, Louis Reymondin, Julie Betbeder, S. Le Clech, Valéry Gond, Clément Bourgoin, Peter Läderach, H. Boussard
Přispěvatelé: Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), Biodiversité agroécologie et aménagement du paysage (UMR BAGAP), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Wageningen University and Research [Wageningen] (WUR), Département Environnements et Sociétés (Cirad-ES), AGROCAMPUS OUEST-Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CLÉMENT BOURGOIN, CIRAD / CIAT, JULIE BETBEDER, CIRAD / CATIE, RENAN LE ROUX, CIRAD, VALÉRY GOND, CIRAD, JOHAN OSZWALD, Université Rennes 2, DAMIEN ARVOR, Université Rennes 2, JACQUES BAUDRY, BAGAP, INRAE, Institut Agro, HUGUES BOUSSARD, BAGAP, INRAE, Institut Agro, SOLEN LE CLECH, Wageningen University and Research, LUCAS JOSE MAZZEI DE FREITAS, CPATU, HÉLÈNE DESSARD, CIRAD, PETER LÄDERACH, CIAT, LOUIS REYMONDIN, CIAT, LILIAN BLANC, CIRAD.
Jazyk: angličtina
Rok vydání: 2021
Předmět:
[SDE.MCG]Environmental Sciences/Global Changes
Forest management
Land cover
Ecosystem services
03 medical and health sciences
Deforestation
Fragmentation
Landscape metrics
Degradação Ambiental
030304 developmental biology
General Environmental Science
2. Zero hunger
0303 health sciences
Forest degradation
geography.geographical_feature_category
Land use
Renewable Energy
Sustainability and the Environment
Agroforestry
Amazon rainforest
Land use/cover
Public Health
Environmental and Occupational Health
Uso da Terra
04 agricultural and veterinary sciences
[SHS.GEO]Humanities and Social Sciences/Geography
15. Life on land
Brazilian Amazon
Remote sensing
Old-growth forest
Geography
Environmental Systems Analysis
13. Climate action
Milieusysteemanalyse
040103 agronomy & agriculture
Spatial ecology
0401 agriculture
forestry
and fisheries
Sensoriamento Remoto
Zdroj: Environmental Research Letters
Environmental Research Letters, IOP Publishing, 2021, 16 (11), pp.114045. ⟨10.1088/1748-9326/ac31eb⟩
Environmental Research Letters, 16(11)
Environmental Research Letters 16 (2021) 11
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
ISSN: 1748-9326
1748-9318
Popis: While forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition, configuration and dynamic of land use/cover) on primary forest's aboveground biomass (AGB), spanning from low to highly degraded, in Paragominas municipality (Pará state). We used random forest models to identify the most important landscape predictors of degradation and clustering methods to analyze their distribution and interactions. We found that 58% of the variance of AGB could be explained by metrics reflecting land use practices and agricultural dynamics around primary forest patches and that their spatial patterns were not randomly distributed. Forest degradation is mainly driven by fragmentation effects resulting from old deforestation and colonization events linked with cropland expansion (e.g. soybean and maize) coupled with high accessibility to market. To a lesser extent, degradation is driven by recent and ongoing (1985?2015) deforestation and fragmentation in slash-and-burn agricultural areas, characterized by heterogeneous mosaics of pastures and fallow lands combined with high use of fire. Our findings highlight the potential of landscape-level framework and remotely sensed land cover data for a thorough understanding of the distribution of forest degradation across human-modified landscapes. Addressing these spatial determinants by looking at agricultural dynamics beyond forest cover is necessary to improve forest management which has major implications for biodiversity, carbon and other ecosystem services. Made available in DSpace on 2021-11-10T19:05:07Z (GMT). No. of bitstreams: 1 Bourgoin-2021-Environ.-Res.-Lett.-16-114045.pdf: 3544341 bytes, checksum: 423582271f80655a3ab4683235bf9dd0 (MD5) Previous issue date: 2021
Databáze: OpenAIRE
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