Integrated assessment and modelling: features,principles and examples for catchment management |
| |
| Affiliation: | 1. School of Mathematical and Chemical Industry, Changzhou Institute of Technology, Changzhou 213032, China;2. Department of Material Science and Engineering, University of Science and Technology of China, Heifei 230026, China;1. College of Water Resource &Civil Engineering, China Agricultural University, Beijing 100083, China;2. National Observation and Research Station of Oasis Agricultural Ecosystem, Wuwei, Gansu Province, China;1. School of Agricultural and Resource Economics, The University of Western Australia, 35 Stirling Hwy, Crawley 6009, WA, Australia;2. Horizon Digital Economy Institute & IMA Group, School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, United Kingdom;3. Department of Parks and Wildlife, Locked Bag 104, Bentley Delivery Centre, WA 6983, Australia;4. Australian Wildlife Conservancy, PO Box 8070, Subiaco East, WA 6008, Australia;1. Department of Civil and Environmental Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada;1. Forschungszentrum Jülich GmbH, Institute for Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany;2. Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, Geoverbund ABC/J, Jülich, Germany;3. University of Neuchâtel, Centre for Hydrogeology and Geothermics, 2000 Neuchâtel, Switzerland;1. Science Division, Department of Parks and Wildlife, Locked Bag 104, Bentley Delivery Centre, WA 6983, Australia;2. Horizon Digital Economy Institute, IMA & Lab for Uncertainty in Data and Decision Making (LUCID), School of Computer Science, University of Nottingham, Nottingham, United Kingdom;3. School of Agricultural and Resource Economics, the University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia;4. Australian Wildlife Conservancy, PO Box 8070, Subiaco East, WA 6008, Australia;5. School of Plant Biology, the University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia |
| |
| Abstract: | To meet the challenges of sustainability and catchment management requires an approach that assesses resource usage options and environmental impacts integratively. Assessment must be able to integrate several dimensions: the consideration of multiple issues and stakeholders, the key disciplines within and between the human and natural sciences, multiple scales of system behaviour, cascading effects both spatially and temporally, models of the different system components, and multiple databases. Integrated assessment (IA) is an emerging discipline and process that attempts to address the demands of decision makers for management that has ecological, social and economic values and considerations. This paper summarises the features of IA and argues the role for models and information systems as a prime activity. Given the complex nature of IA problems, the broad objectives of IA modelling should be to understand the directions and magnitudes of change in relation to management interventions so as to be able to differentiate between associated outcome sets. Central to this broad objective is the need for improved techniques of uncertainty and sensitivity analysis that can provide a measure of confidence in the ability to differentiate between different decisions. Three examples of problems treated with an IA approach are presented. The variations in the way that the different dimensions are integrated in the modelling are discussed to highlight the sorts of choices that can be made in model construction. The conclusions stress the importance of IA as a process, not just as a set of outcomes, and define some of the deficiencies to be overcome. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
