Mapping ecosystem services bundles in a heterogeneous mountain region

被引:22
|
作者
Vannier, Clemence [1 ,2 ]
Lasseur, Remy [1 ]
Crouzat, Emilie [1 ]
Byczek, Coline [1 ]
Lafond, Valentine [3 ,4 ]
Cordonnier, Thomas [3 ]
Longaretti, Pierre-Yves [5 ]
Lavorel, Sandra [1 ]
机构
[1] Univ Savoie Mt Blanc, Univ Grenoble Alpes, Lab Ecol Alpine, CNRS,UMR 5553, Grenoble, France
[2] Univ Canterbury Te Whare Wananga O Waitaha, Coll Sci, Dept Geog, Christchurch, New Zealand
[3] Univ Grenoble Alpes, Irstea, UR EMGR, St Martin Dheres, France
[4] Swiss Fed Inst Technol, Inst Terr Ecosyst, Dept Environm Sci, Forest Ecol, Zurich, Switzerland
[5] Univ Grenoble Alpes, Grenoble INP, INRIA, Inst Engn,CNRS,LJK, Grenoble, France
关键词
TRADE-OFFS; FUNCTIONAL TRAITS; SYNERGIES; SUPPORT; KNOWLEDGE; DYNAMICS; FORESTS; DEMAND; IMPACT; AREAS;
D O I
10.1080/26395916.2019.1570971
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Recent institutional and policy frameworks prescribe the incorporation of ecosystem services (ES) into land use management and planning, favouring co-production of ES assessments by stakeholders, land planners and scientists. Incorporating ES into land management and planning requires models to map and analyze ES. Also, because ES do not vary independently, many operational issues ultimately relate to the mitigation of ES trade-offs, so that multiple ES and their interactions need to be considered. Using a highly accurate LULC database for the Grenoble urban region (French Alps), we mapped twelve ES using a range of models of varied complexity. A specific, fine-grained (less than 1 ha) LULC database at regional scale (4450 km(2)) added great spatial precision in individual ES models, in spite of limits of the typological resolution for forests and semi-natural areas. We analysed ES bundles within three different socio-ecosystems and associated landscape types (periurban, rural and forest areas). Such type-specific bundles highlighted distinctive ES trade-offs and synergies for each landscape. Advanced approaches combining remote sensing, targeted field data collection and expert knowledge from scientists and stakeholders are expected to provide the significant progress that is now required to support the reduction of trade-offs and enhance synergies between management objectives.
引用
收藏
页码:74 / 88
页数:15
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