Optimisation as a process for understanding and managing river ecosystems

被引:20
|
作者
Barbour, E. J. [1 ,2 ]
Holz, L. [3 ]
Kuczera, G. [4 ]
Pollino, C. A. [5 ]
Jakeman, A. J. [1 ]
Loucks, D. P. [6 ]
机构
[1] Australian Natl Univ, Fenner Sch Environm & Soc, Natl Ctr Groundwater Res & Training, Canberra, ACT 0200, Australia
[2] Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
[3] NSW Dept Primary Ind, Parramatta, NSW 2150, Australia
[4] Univ Newcastle, Sch Engn, Callaghan, NSW 2308, Australia
[5] CSIRO Land & Water, Canberra, ACT 2601, Australia
[6] Cornell Univ, Sch Civil & Environm Engn, Inst Publ Affairs, Ithaca, NY 14853 USA
关键词
Ecosystem management; Optimisation; Water resources; Uncertainty; Decision making; Review; MULTIOBJECTIVE RESERVOIR OPERATION; ROBUST DECISION-MAKING; ENVIRONMENTAL FLOWS; BIODIVERSITY CONSERVATION; HYDROLOGIC ALTERATION; INDIGENOUS VALUES; WATER MANAGEMENT; HEALTH; UNCERTAINTY; OBJECTIVES;
D O I
10.1016/j.envsoft.2016.04.029
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Optimisation can assist in the management of riverine ecosystems through the exploration of multiple alternative management strategies, and the evaluation of trade-offs between conflicting objectives. In addition, it can facilitate communication and learning about the system. However, the effectiveness of optimisation in aiding decision making for ecological management is currently limited by four major challenges: identification and quantification of ecosystem objectives; representation of ecosystems in predictive simulation models; specification of objectives and management alternatives in an optimisation framework; and evaluation of model results against actual ecological outcomes. This study evaluates previous literature in ecology, optimisation and decision science, and provides a strategy for addressing the challenges identified. It highlights the need for better recognition and analysis of assumptions in optimisation modelling as part of a process that generates and shares knowledge. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:167 / 178
页数:12
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