GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2018.02.005
Social drivers of rural forest dynamics: A multi-scale approach combining ethnography, geomatic and mental model analysis
Blanco, Julien1; Sourdril, Anne2; Deconchat, Marc1; Ladet, Sylvie1; Andrieu, Emilie1
2019-08-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2019
卷号188页码:132-142
文章类型Article
语种英语
国家France
英文摘要

Farm forests and trees outside forests (i.e., 'rural forests') are key components for the sustainability of agricultural landscapes. Farmers are the main managers of rural forests and their practices vary according to a range of individual and collective factors. This diversity in management practices challenges the understanding of landscape patterns and dynamics, in particular at local and regional scales. In this study, we combined forest mapping over 150 years, ethnographic investigations and mental models to investigate the social drivers of rural forests in a French case study. Results showed a stability of woodlands and groves, favored by the social organization system, i.e., a self-reliance and house-centered system. Recent tree encroachment in abandoned lands - caused by rural exodus and the intensification of agriculture - resulted in a spread of woodlands. In addition, a shift from family-based to market-oriented woodland management was observed, contributing to the homogenization of forest management practices. Hedgerows declined but with contrasted trends according to their location and adjacent land uses: in-farm hedgerows that obstructed mechanization declined, whereas boundary hedgerows that assisted in the maintenance of farmers' estates were reinforced. Scattered trees were considered of little interest by farmers and declined. This study achieved an understanding of rural forest patterns and underlying social drivers. Mental models provided a basis for exploring the tradeoffs between ecosystem services and disservices operated by farmers. They also revealed differences between scientific and farmer classifications of trees outside forests. Mental models constitute a promising tool for reinforcing bonds between the social and natural sciences.


英文关键词Non-industrial private forest Trees outside forests Ecosystem services Local ecological knowledge Agroforestry landscape Social representations
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000471355600014
WOS关键词COGNITIVE MAPPING APPROACH ; ECOSYSTEM SERVICES ; CONSERVATION VALUE ; SCATTERED TREES ; LAND-USE ; LANDSCAPE ; SYSTEMS ; BIODIVERSITY ; HEDGEROWS ; DIVERSITY
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/185766
专题资源环境科学
作者单位1.Univ Toulouse, Dynafor, INPT, INRA,EI PURPAN, Castanet Tolosan, France;
2.Univ Paris Ouest Nanterre La Def, CNRS, UMR 7533 Ladyss, 200 Ave Republ, F-92001 Nanterre, France
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GB/T 7714
Blanco, Julien,Sourdril, Anne,Deconchat, Marc,et al. Social drivers of rural forest dynamics: A multi-scale approach combining ethnography, geomatic and mental model analysis[J]. LANDSCAPE AND URBAN PLANNING,2019,188:132-142.
APA Blanco, Julien,Sourdril, Anne,Deconchat, Marc,Ladet, Sylvie,&Andrieu, Emilie.(2019).Social drivers of rural forest dynamics: A multi-scale approach combining ethnography, geomatic and mental model analysis.LANDSCAPE AND URBAN PLANNING,188,132-142.
MLA Blanco, Julien,et al."Social drivers of rural forest dynamics: A multi-scale approach combining ethnography, geomatic and mental model analysis".LANDSCAPE AND URBAN PLANNING 188(2019):132-142.
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