2000
DOI: 10.1006/jema.2000.0387
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Multiple attribute evaluation of landscape management

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Cited by 47 publications
(19 citation statements)
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“…Prato (2000) incorporates uncertainty in a stochastic model to identify the most efficient management plan, at the landscape scale, and determines its efficiency, maximizing the expected utility function. This work differences between publicly owned landscapes, whose objective is the management of ecosystems and landscapes of private property, with the goal of economic efficiency.…”
Section: Managementmentioning
confidence: 99%
“…Prato (2000) incorporates uncertainty in a stochastic model to identify the most efficient management plan, at the landscape scale, and determines its efficiency, maximizing the expected utility function. This work differences between publicly owned landscapes, whose objective is the management of ecosystems and landscapes of private property, with the goal of economic efficiency.…”
Section: Managementmentioning
confidence: 99%
“…Weak sustainability of a system with respect to multiple criteria for which there are multiple observations can be assessed by determining whether the probability that the composite index equals or exceeds some minimum acceptable value is greater than or equal to 1 − φ [48]. Use of a composite index requires that all the criteria be either positive or negative.…”
Section: Weak Vs Strong Sustainabilitymentioning
confidence: 99%
“…This allows them to capture and shape the nonlinearity interactions between variables that are valuable for us to incorporate multi-level factors into primary farmland zoning models and analyze their effects for farmland change. Another significant advantage of BNs is their ability to incorporate prior knowledge with new quantitative evidence [31,32], which contributes to the successful application of BNs in land use change studies [33,34] and environmental analyses [35,36]. This advantage also allows us to combine the dynamic change of farmland in the study area (prior knowledge) with suitability conditions of land use parcels (new evidence) when optimizing the spatial allocation of primary farmland.…”
Section: Introductionmentioning
confidence: 99%