@inproceedings{8ecba7356fad4f4e8251a77b5856f167,
title = "Optimal futures: Multi-objective programming models for generating landscape futures under alternative policy options and scenarios",
abstract = "The future composition of Australia{\textquoteright}s rural landscapes are uncertain and may be subject to substantial change following changes in climate, market prices, technology and social attitudes. Exploring alternative landscape futures can be useful for informing strategic policy decisions in regional natural resource management settings Most studies of landscape futures involve a combination of participatory stakeholder involvement and quantitative modelling in identifying landscape futures. In this paper we present multi objective programming as a landscape futures generation engine. A case study",
keywords = "Futures analysis, GIS, Integrated assessment, Landscape planning, Scenario generation",
author = "Bryan, {B. A.} and Crossman, {N. D.} and D. King",
year = "2007",
month = dec,
language = "English",
isbn = "9780975840047",
series = "MODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings",
publisher = "Modelling and Simulation Society of Australia and New Zealand",
pages = "247--253",
editor = "Les Oxley and Don Kulasiri",
booktitle = "MODSIM07 - Land, Water and Environmental Management",
note = "International Congress on Modelling and Simulation : Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07 ; Conference date: 10-12-2007 Through 13-12-2007",
}
