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four experts provide a more robust uncertainty analysis. The revealed pattern of
associated uncertainty descriptors was highly consistent across the case studies, despite the fact that they made flexible use of the framework in order to account for the local realms. We conclude therefore that those tools could be generally useful and widely applicable, independently from the from the assessment context such as geographical area, quality of available data, level of spatial management implementation, or management objectives. Ultimately, the here presented complementary approach to characterize and analyse uncertainty allows prioritizing efforts for future research and subsequent management process through iterative monitoring and evaluation of its performance.
Key words: monitoring and evaluation, Monte Carlo simulation, pedigree matrix, spatially managed areas, uncertainty characterization, uncertainty quantification, Walker matrix
|Status||Gepubliceerd - 10-okt-2013|
|Evenement||MESMA Final Event - Lissabon, Portugal|
Duur: 8-okt-2013 → 10-okt-2013
|Symposium||MESMA Final Event|
|Periode||8/10/13 → 10/10/13|
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