The application of a Multicriteria Spatial Decision Support System (MCSDSS) for the assessment of biodiversity conservation in the Province of Varese (Italy)

被引:58
作者
Bottero, Marta [1 ]
Comino, Elena [2 ]
Duriavig, Marco [3 ]
Ferretti, Valentina [1 ]
Pomarico, Silvia [1 ]
机构
[1] Politecn Torino, Interuniv Dept Reg & Urban Studies & Planning DIS, I-10125 Turin, Italy
[2] Politecn Torino, Dept Environm Land & Infrastruct Engn DIATI, I-10129 Turin, Italy
[3] Univ Udine, Econ Soc & Terr Dept, I-33100 Udine, Italy
关键词
Spatial Decision Support Systems; Multicriteria Analysis; Biodiversity conservation; Suitability map; Geographic Information System; GIS; INFORMATION;
D O I
10.1016/j.landusepol.2012.05.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spatial Decision Support Systems (SDSSs) are rapidly gaining traction for planning and policy-making, thanks to their significant new capabilities in the use of spatial or geospatial information. The present paper illustrates the development of a basic MCSDSS (Multicriteria Spatial Decision Support System) that integrates spatial information techniques such as GIS (Geographic Information System) and Multicriteria Analysis (MCA). Many spatial problems are complex and require the use of integrated analysis and models. In the work a methodological framework for such integration is provided, highlighting the advantages and characteristics of GIS and MCA coupling and paying attention to the issues of transparency and applicability. The method is illustrated with reference to a case study in the Province of Varese (Italy). The purpose of the research is to generate a suitability map of the study region, concerning the characterization of biodiversity conservation, to be used as a decision variable in spatial planning. Different criteria are considered in the analysis and the results are obtained in the form of maps and analyzed through IDRISI Andes software. In particular, by using the resulting suitability map as a means of analysis, it is possible to identify, for the sake of biodiversity conservation, some critical areas needing mitigation measures. In addition, areas with high biodiversity conservation values can be highlighted and monitoring procedures can therefore be planned. The study concludes with some lessons learned during the development of the MCSDSS and highlights that the applied methodology is an effective tool in providing decision support for spatial planning. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:730 / 738
页数:9
相关论文
共 71 条
[1]  
Aerts JCJH, 2003, GEOGR ANAL, V35, P148, DOI 10.1111/j.1538-4632.2003.tb01106.x
[2]  
Andrienko G., 2003, J DECIS SYST, V12, P193, DOI DOI 10.3166/JDS.12.193-208
[3]  
[Anonymous], MISURARE NELLINCERTE
[4]  
[Anonymous], INT J SUSTAINABLE DE
[5]  
[Anonymous], AIDE MULTICRITERE DE
[6]  
Armstrong M. P., 1986, Proceedings of the Second International Symposium on Spatial Data Handling, P120
[7]  
Armstrong M.P., 1993, GEOGRAPHICAL SYSTEMS, V1, P69
[8]  
Bedord Y., 2001, Geographic Data Mining and Knowledge Discovery
[9]  
Beinat E., 1997, Value Functions for Environmental Management
[10]  
Beunen R., 2006, J ENVIRON PLANN MAN, V49, P605, DOI [10.1080/09640560600747547, DOI 10.1080/09640560600747547]