This document aims to contribute to the empirical development of effective approaches for the assessment of rangeland governance at local levels, and provide insights about major governance drivers through the quantitative assessment of their effects. Our focus is an application of the Bayesian Belief Network (BBN) methodology to assess key variables that affect the probability of good rangeland governance under contrasting contexts of land tenure in Southern Tunisia.
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Library ResourceReports & ResearchMarch, 2019Tunisia, Northern Africa
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Library ResourceConference Papers & ReportsOctober, 2019Northern Africa, Tunisia
Rangelands are recognized for their importance and value in providing society with valuable products and ecosystem services. In such ecosystems, effective management is needed for sustainable plant growth and survival in a context characterized by rainfall unreliability, poor soil nutrient status and high uncontrolled grazing. Therefore, cost-effective techniques/tools for slowing down and eventually reversing this degradation are needed. This paper promotes identifying and combining various tools for degraded arid ecosystems as strategies aimed for rangeland restoration/ rehabilitation.
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Library ResourceInstitutional & promotional materialsJanuary, 2020Tunisia, Northern Africa
The presentation discusses the application of the Bayesian Belief Network (BBN) approach to enhance rangeland governance under constraining land tenure systems in the South of Tunisia.
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