Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon
Clément Bourgoin
(1, 2)
,
Julie Betbeder
(1, 2)
,
Renan Le Roux
(1, 2)
,
Valéry Gond
(1, 2)
,
Johan Oszwald
(3)
,
Damien Arvor
(3)
,
Jacques Baudry
(4)
,
Hugues Boussard
(4)
,
Solen Le Clech
(5)
,
Lucas Mazzei
,
Hélène Dessard
(1, 2)
,
Peter Läderach
,
Louis Reymondin
,
Lilian Blanc
(1, 2)
Clément Bourgoin
- Fonction : Auteur
- PersonId : 819184
- ORCID : 0000-0003-4923-3035
Julie Betbeder
- Fonction : Auteur
- PersonId : 769860
- ORCID : 0000-0003-3605-4230
Renan Le Roux
- Fonction : Auteur
- PersonId : 1337364
- IdHAL : rnleroux
Valéry Gond
- Fonction : Auteur
- PersonId : 906338
- ORCID : 0000-0002-0080-3140
- IdRef : 091595045
Johan Oszwald
- Fonction : Auteur
- PersonId : 14706
- IdHAL : johan-oszwald
- IdRef : 095633502
Damien Arvor
- Fonction : Auteur
- PersonId : 8937
- IdHAL : damien-arvor
- ORCID : 0000-0002-3017-9625
- IdRef : 136950191
Jacques Baudry
- Fonction : Auteur
- PersonId : 1265208
- ORCID : 0000-0001-9324-970X
- IdRef : 029759595
Solen Le Clech
- Fonction : Auteur
- PersonId : 819185
- ORCID : 0000-0001-7886-2899
Lucas Mazzei
- Fonction : Auteur
Hélène Dessard
- Fonction : Auteur
- PersonId : 757981
- ORCID : 0000-0002-7076-5872
Peter Läderach
- Fonction : Auteur
Louis Reymondin
- Fonction : Auteur
Lilian Blanc
- Fonction : Auteur
- PersonId : 769860
- ORCID : 0000-0003-3605-4230
Résumé
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.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon
|
Résumé |
en
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.
|
Auteur(s) |
Clément Bourgoin
1, 2
, Julie Betbeder
1, 2
, Renan Le Roux
1, 2
, Valéry Gond
1, 2
, Johan Oszwald
3
, Damien Arvor
3
, Jacques Baudry
4
, Hugues Boussard
4
, Solen Le Clech
5
, Lucas Mazzei
, Hélène Dessard
1, 2
, Peter Läderach
, Louis Reymondin
, Lilian Blanc
1, 2
1
UPR Forêts et Sociétés -
Forêts et Sociétés
( 497978 )
- CIRAD, TA C-105 / D-Campus international de Baillarguet 34398 Montpellier Cedex 5 France
- France
2
Cirad-ES -
Département Environnements et Sociétés
( 420902 )
- Campus international de Baillarguet TA C-DIR / B 34398 Montpellier Cedex 5 France
- France
3
LETG - Rennes -
Littoral, Environnement, Télédétection, Géomatique
( 3177 )
- Maison de la Recherche Place du Recteur Henri Le Moal 35043 RENNES CEDEX
- France
4
UMR BAGAP -
Biodiversité agroécologie et aménagement du paysage
( 1002476 )
- 65 rue de Saint-Brieuc 35042 Rennes
- France
5
WUR -
Wageningen University and Research [Wageningen]
( 356395 )
- Droevendaalsesteeg 4, 6708 PB Wageningen
- Pays-Bas
|
Date de publication |
2021
|
Date de publication électronique |
2021-11-10
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Volume |
16
|
Numéro |
11
|
Page/Identifiant |
114045
|
Domaine(s) |
|
DOI | 10.1088/1748-9326/ac31eb |
Origine :
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