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http://hdl.handle.net/10174/37099
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Title: | Modelling shepherds’ decision-making about grazing on forested mountain landscapes - contributions for keeping discontinuity |
Authors: | Esgalhado, Catarina Rivera, Maria Pinto Correia, Teresa |
Issue Date: | Oct-2023 |
Publisher: | Universidade de Evora |
Abstract: | Pastoral systems have been key in the sustenance of marginal territories, shaping open areas in forested
landscapes by providing important shrub control services. In Serra da Estrela, the largest and highest
mountain area in Portugal, livelihoods used to be largely based on the rearing of autochthonous sheep
breeds. The mountain’s landscape was, until a few decades ago, composed of large forest patches in a
mosaic with open natural pastures. But the grazing pressure in Serra da Estrela has been reducing due to
social and economic drivers that have pushed shepherds and sheep to the foothill, or plainly out of the
sector. Shrubs start to encroach on previously grazed land and the impacts of the resulting increase in
landscape continuity have been made clear in the extreme fires of 2017 and 2022. As fire risk is likely to
increase with climate change, it becomes urgent to understand what strategies can be deployed to keep
fragmentation in these forested landscapes. However, this discussion often fails to include shepherds’
reasoning to give up seeking altitude pastures. With this study we assessed the variables that can influence
shepherds’ willingness to resort to altitude grazing. We used a fuzzy cognitive modelling (FCM) approach.
FCM uses fuzzy-graph structures that represent causal reasoning and allow to unveil direct and indirect
feedback mechanisms within the system. We drew a cognitive map of the silvopastoral system in Serra da
Estrela, including main variables and how they connect, based on local stakeholders’ and experts’
knowledge. Fourteen shepherds were then asked to create their own connections between variables and
to provide a value to each connection. With these quantifications, we built an FCM-based scenario analysis
to understand what variables are more relevant in generating changes. We expect the results to provide
insightful information on which strategies and entities should be involved in keeping altitude pastures open
and to inform policy making. |
URI: | https://iufro2023.uevora.pt/ http://hdl.handle.net/10174/37099 |
Type: | lecture |
Appears in Collections: | MED - Comunicações - Em Congressos Científicos Internacionais
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