Landscape futures analysis: Assessing the impacts of environmental targets under alternative spatial policy options and future scenarios

被引:83
作者
Bryan, Brett A. [1 ]
Crossman, Neville D. [1 ]
King, Darran [1 ]
Meyer, Wayne S. [2 ]
机构
[1] CSIRO Sustainable Ecosyst, Glen Osmond, SA 5064, Australia
[2] Univ Adelaide, Glen Osmond, SA 5064, Australia
关键词
Landscape planning; Regional; Futures analysis; Scenarios; GIS; Integrated assessment; Optimisation; NATURAL-RESOURCE; INTEGRATED ASSESSMENT; LAND; CONSERVATION; MANAGEMENT; OPTIMIZATION; RESTORATION; FRAMEWORK; TOOL;
D O I
10.1016/j.envsoft.2010.03.034
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Environmental targets are often used in planning for sustainable agricultural landscapes but their impacts are rarely known. In this paper we introduce landscape futures analysis as a method which combines linear programming optimisation with scenario analysis in quantifying the environmental, economic, and social impacts associated with achieving environmental targets, on a landscape scale. We applied the technique in the Lower Murray in southern Australia. Landscape futures models were used to identify specific geographic locations in the landscape for six natural resource management (NRM) actions such that regional environmental targets are achieved. The six potential NRM actions that may be undertaken to achieve environmental targets include remnant vegetation management, ecological restoration, conservation farming, deep-rooted perennials, and the production of biomass and biofuels feedstock for renewable energy generation. We developed landscape futures under four alternative spatial prioritisation policy options and four future climate and commodity price scenarios. The impacts of each landscape future were calculated across a range of environmental, economic, and social indicators. The external drivers, climate change and commodity prices, and internal decisions such as policy options for spatially prioritising NRM actions, both have a strong influence on the costs and benefits of achieving environmental targets. Illustrative results for the cleared agricultural areas in the Mallee region indicate that whilst achieving targets can have substantial environmental benefits, it requires large areas of land use and land management change, and is likely to be costly (up to $348.5 M per year) with flow-on impacts on the regional economy and communities. Environmental targets can be achieved more cost-effectively through spatial planning. Costs can be further reduced if markets are established for carbon, biomass, and biofuels to enable landholders to generate income from undertaking NRM. Landscape futures analysis is an effective tool for supporting the strategic regional NRM policy and planning decisions of how best to set and achieve environmental targets. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:83 / 91
页数:9
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共 50 条
  • [1] Species distributions, land values, and efficient conservation
    Ando, A
    Camm, J
    Polasky, S
    Solow, A
    [J]. SCIENCE, 1998, 279 (5359) : 2126 - 2128
  • [2] [Anonymous], 2006, CLIMATE CHANGE ENHAN
  • [3] Targeting tools for the purchase of environmental amenities
    Babcock, BA
    Lakshminarayan, PG
    Wu, JJ
    Zilberman, D
    [J]. LAND ECONOMICS, 1997, 73 (03) : 325 - 339
  • [4] Alternative futures for the Willamette River Basin, Oregon
    Baker, JP
    Hulse, DW
    Gregory, SV
    White, D
    Van Sickle, J
    Berger, PA
    Dole, D
    Schumaker, NH
    [J]. ECOLOGICAL APPLICATIONS, 2004, 14 (02) : 313 - 324
  • [5] Generating agricultural landscapes for alternative futures analysis: A multiple attribute decision-making model
    Department of Bioengineering, Oregon State University, 116 Gilmore Hall, Corvallis, OR 97331, United States
    [J]. Trans. GIS, 2006, 1 (103-120): : 103 - 120
  • [6] Evaluating the impact of policy options on agricultural landscapes: An alternative-futures approach
    Berger, PA
    Bolte, JP
    [J]. ECOLOGICAL APPLICATIONS, 2004, 14 (02) : 342 - 354
  • [7] BOLTE JP, 2004, ENVIRON MODELL SOFTW, V22, P570
  • [8] BRYAN BA, BIOFUELS AGR L UNPUB
  • [9] BRYAN BA, 2007, PRELIMINARY ANAL MOD, V3
  • [10] BRYAN BA, 2007, ANAL REGIONAL PLANS, V2