Simple models for managing complex social-ecological systems: The Landscape Futures Analysis Tool (LFAT)

被引:16
|
作者
Summers, David M. [1 ,2 ]
Bryan, Brett A. [2 ]
Meyer, Wayne S. [3 ]
Lyle, Greg [3 ]
Wells, Sam [4 ]
McLean, Josie [4 ]
Moon, Travis [3 ]
van Gaans, Greg [5 ]
Siebentritt, Mark [6 ]
机构
[1] Australian Natl Univ, Canberra, ACT, Australia
[2] CSIRO, Urrbrae, SA 5064, Australia
[3] Univ Adelaide, Inst Environm, Adelaide, SA, Australia
[4] Univ Adelaide, Adelaide Business Sch, Adelaide, SA, Australia
[5] Dunnottar Comp Log Pty Ltd, Hindmarsh, SA 5007, Australia
[6] Seed Consulting Serv, Adelaide, SA 5000, Australia
关键词
Community-based natural resource management (NRM); Decision support system; Ecosystem services; Regional analysis; Scenario; Integrated assessment; NATURAL-RESOURCE MANAGEMENT; LAND-USE; CLIMATE-CHANGE; ECOSYSTEM SERVICES; EMPLOYMENT IMPLICATIONS; INTEGRATED ASSESSMENT; SOUTH-AUSTRALIA; CARBON MARKET; CONSERVATION; IMPACT;
D O I
10.1016/j.envsoft.2014.10.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Integrated modelling and assessment can facilitate exploration of complex social ecological interactions and quantify trade-offs in regional policy, planning, and management options. However, there have been challenges in its acceptance and adoption for supporting decisions. Here we overcome this implementation gap through the development of an interactive online tool called the Landscape Futures Analysis Tool (LFAT) (http://www.lfat.org.au/). Identifying four high priority regional management issues; agricultural production, carbon sequestration, biodiversity conservation and weed management, we developed a series of simple models to explore them through a range of environmental and economic scenarios including climate change, carbon price, agricultural commodity price, and production costs. These models were implemented within the LFAT to allow users to select, query and explore combinations of key variables and examine their impact on each of the management issues through a range of interactive maps and summary statistics. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:217 / 229
页数:13
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