Data/hora: 12/06/2024 05:38:57

Provedor de dados: | 7
País: | Canada
Título: | Integrating Expert Knowledge into Mapping Ecosystem Services Trade-offs for Sustainable Forest Management
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.
Data: | 2013-09-23
Ano: | 2013
Palavras-chave: | Bayesian network; Climate change; Ecosystem services; Expert survey; Forest management; Land-use change; Mapping; Mountain ecosystem; Trade-offs; Uncertainty.
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.
Tipo: | Peer-Reviewed Reports
Idioma: | Inglês
Identificador: | vol18/iss3/art34/
Editor: | Resilience Alliance
Formato: | text/html application/pdf
Fonte: | Ecology and Society; Vol. 18, No. 3 (2013)