Registro completo |
Provedor de dados: |
Ecology and Society
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País: |
Canada
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Título: |
Integrating Expert Knowledge into Mapping Ecosystem Services Trade-offs for Sustainable Forest Management
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Autores: |
Brunner, Sibyl H.; Planning of Landscape and Urban Systems (PLUS), Swiss Federal Institute of Technology Zurich ; brunner@nsl.ethz.ch
Altwegg, Juerg; Planning of Landscape and Urban Systems (PLUS), Swiss Federal Institute of Technology Zurich ; altwegg@nsl.ethz.ch
Christen, Marc; WSL - Institute for Snow and Avalanche Research SLF; christen@slf.ch
Bebi, Peter; WSL - Institute for Snow and Avalanche Research SLF; bebi@slf.ch
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Data: |
2013-09-23
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Ano: |
2013
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Palavras-chave: |
Bayesian network
Climate change
Ecosystem services
Expert survey
Forest management
Land-use change
Mapping
Mountain ecosystem
Trade-offs
Uncertainty
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Resumo: |
Mountain ecosystems are highly sensitive to global change. In fact, the continued capacity of mountain regions to provide goods and services to society is threatened by the impact of environmental changes on ecosystems. Although mapping ecosystem services values is known to support sustainable resource management, the integration of spatially explicit local expert knowledge on ecosystem dynamics and social responses to global changes has not yet been integrated in the modeling process. This contribution demonstrates the importance of integrating local knowledge into the spatially explicit valuation of ecosystem services. Knowledge acquired by expert surveys flows into a GIS-based Bayesian Network for valuing forest ecosystem services under a land-use and a climate change scenario in a case study in the Swiss Alps. Results show that including expert knowledge in ecosystem services mapping not only reduces uncertainties considerably, but also has an important effect on the ecosystem services values. Particularly the iterative process between integrating expert knowledge into the modeling process and mapping ecosystem services guarantees a continuous improvement of ecosystem services values maps while opening a new way for mutual learning between scientists and stakeholders which might support adaptive resource management.
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Tipo: |
Peer-Reviewed Reports
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Idioma: |
Inglês
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Identificador: |
vol18/iss3/art34/
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Editor: |
Resilience Alliance
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Formato: |
text/html application/pdf
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Fonte: |
Ecology and Society; Vol. 18, No. 3 (2013)
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