作者: Francis Pantus , Jon Olley , Simon Linke , James Mugodo , Patrick Lea
DOI: 10.1016/J.ECOLMODEL.2015.08.017
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摘要: Abstract Freshwater ecosystems are among the most diverse environments on Earth but also one of degraded and threatened due mainly to intense human modification exploitation. Despite increase in funds devoted rehabilitation these systems little success has been reported so far. When planning for catchments, stakeholders have decide what combination actions implement at which locations from a vast number possible options. Often activities constrained by limited budgets. Here we apply principles systematic rehabilitation, integrating erosion, sediment transport, ecological economic objectives into process enhance effectiveness plans support better understanding effects various objectives. We develop multi-objective approach find set near-optimal trade-off solutions large candidate combinations under sometimes competing use Pareto-optimal store potentially useful (trade-offs) along management objective gradients. Presenting those trade-offs as function allow users understand commonalities differences options when selecting different It is learning relationships that classic optimisation approaches often lack. As proof concept, used an example project South East Queensland (Australia) aims reduce loads improve health (measured EHMP index) rivers while minimizing opportunity cost plans. Opportunity defined forgone value would be compromised implementation plan. found our was efficient effective finding systematically presenting promising gradients (sediment reduction, ecosystem economics).