Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling

Store, Ron; Kangas, Jyrki

doi:10.1016/s0169-2046(01)00120-7

Cited by 376 publications

(261 citation statements)

References 16 publications

Supporting

Mentioning

246

Contrasting

Unclassified

Order By: Relevance

“…Researchers have also studied the urban land suitability analysis by means of fuzzy classification methods and multi-criteria analysis (Hall, 1992;Davidson, 1994;Store and Kangas, 2001;Bagdanaviciute and Jurijus, 2013), as well as urban ecological suitability assessment for urban development and planning via ecology methods (Lathrop and Bognar, 1998;Svoray et al, 2005;. The rule-based classification has been successfully applied in the land suitability evaluation and land-use planning (Zhu et al, 1996;Nisar Ahamed et al, 2000;Van Broekhoven et al, 2006;Tseng et al, 2008), because it can discover novel and useful knowledge hidden in the large amount and scope of spatial data (Miller and Han, 2009).…”

Section: Introductionmentioning

confidence: 99%

Land suitability assessment for post-earthquake reconstruction: A case study of Lushan in Sichuan, China

Qing

Li²,

2015

J. Geogr. Sci.

View full text Add to dashboard Cite

Land suitability assessment (LSA) is one of the key processes of land-use planning. Given its particularity of land suitability assessment for post-earthquake reconstruction, this paper takes into account geological conditions, risk of disasters, water and land resources conditions, and eco-environmental suitability and emphasizes safety factor in the assessment. Taking the April 20, 2013 Mw 6.6 Lushan earthquake as a case, this assessment establishes factors system, uses GIS spatial analysis techniques and data of geology, topography, resources, and eco-environment to evaluate the land suitability for reconstruction. The results show that: (1) the spatial characteristics of land suitability for reconstruction at grid scale and administrative scale manifest that most of the piedmont plains in the east are suitable for large-scale population aggregation, industrialization, and urbanization development; and (2) for the six hard-hit counties, Mingshan is the preferred region for large-scale post-earthquake reconstruction due to its high construction index and suitable land per capita, and some plots of land in the valleys could be selected for in-situ small-scale reconstruction in Lushan. The land suitability assessment for post-earthquake reconstruction would be significant to making sound reconstruction planning for achieving sustainable regional development in the Mw 6.6 Lushan earthquake stricken area. This study could be used as a reference for the regions with similar events.

show abstract

Section: Introductionmentioning

confidence: 99%

Land suitability assessment for post-earthquake reconstruction: A case study of Lushan in Sichuan, China

Qing

Li²,

2015

J. Geogr. Sci.

View full text Add to dashboard Cite

show abstract

“…The choice of the method is often subject to the model's objective, the species, and the data available (Manel et al 1999) and several techniques include expert opinion in habitat suitability models (Carver 1991, Pereira & Duckstein 1993, Pearce et al 2001, Store & Kangas 2001. The model could not be validated with presence data because these were unavailable.…”

Section: Methodsmentioning

confidence: 99%

“…However, the main benefits of this method are related to the possibility of integrating empirical models and expert knowledge and of considering the habitat factors on different scales (Store & Jokimäki 2003). Store & Kangas (2001) showed that while GISs include tools for managing and producing georeferenced information at the different scales needed (e.g. in habitat suitability assessment), multicriteria methods offer tools for modelling expert knowledge.…”

Section: Methodsmentioning

confidence: 99%

Roe deer reintroduction in central Portugal: a tool for Iberian wolf conservation

Cruz¹,

Fonseca²,

Carvalho³

et al. 2014

Galemys

View full text Add to dashboard Cite

Species reintroduction is an increasingly important tool for species recovery programs and habitat restoration initiatives worldwide. Roe deer Capreolus capreolus (Linnaeus, 1758) densities are very low in central west Portugal (the Freita, Arada, and Montemuro mountains). This area is inhabited by the endangered Iberian wolf Canis lupus signatus Cabrera, 1907, whose numbers have dramatically decreased since the 20th century. An important step in a roe deer reintroduction program is to establish suitable reintroduction sites. The aim of the study was to identify such sites in central Portugal. An Analytical Hierarchy Process (AHP) in combination with a GIS was applied to develop a habitat suitability model, which integrated empirical models and expert knowledge. The variables used in the model included land use, hydrographic network, asphalted roads, population/villages, and relief. Three reintroduction sites suitable for roe deer were identified as potential habitats for their future natural expansion. Those sites were considered as preliminary ones. Finally, future goals and actions are discussed in relation to the promotion of the ecological and social conditions that would favour the survival of roe deer and Iberian wolf in central Portugal.

show abstract

“…Therefore, researchers proposed the use of many multi-criteria decision-making methods, which are more powerful approaches to decisionmaking. For instance, (Store and Kangas 2001) integrated spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability for species. The method, using the multi-attribute utility theory, was illustrated on a case study in which habitat suitability maps were produced for an old-forest polypore.…”

Section: Decision-making Issues: Integrating the Knowledge Of Decisiomentioning

confidence: 99%

“…Others were dedicated to watersheds and water resources management Zhang et al 2013;Walangitan et al 2012;Wang et al 2004;Sadeghi et al 2009;Gärtner et al 2013;Gao et al 2010;Cotter et al 2014;Meyer et al 2012;Aerts et al 2003a;Dai and Li 2013). Another aspect of those studies is landscape ecology, including the impact of agricultural landscape structure, landscape elements configuration and forest management on species distribution, habitat quality and suitability improvement, and nature conservation and restoration (Zhang et al 2014;Wang et al 2012;van Langevelde et al 2002;Store and Kangas 2001;Prato 2005;Orsi et al 2011;Münier et al 2004;Chuai et al 2013;Brooker 2002;Bamière et al 2011;O'Callaghan 1995;Wossink et al 1999). Energy and carbon storage issues have also been considered in some of those studies (Callesen et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Metaheuristics for agricultural land use optimization. A review

Memmah

Lescourret

Yao

et al. 2015

Agron. Sustain. Dev.

View full text Add to dashboard Cite

Agricultural landscapes presently cover about 46 % of earth terrestrial surface. This cultivated area is decreasing, whereas the global food demand is projected to increase up to 70 % in 2050. The intensification of agriculture is not a solution to this food issue because intensive agriculture has often resulted in pollution and loss of biodiversity. On the other hand, mechanistic models with optimization algorithms can be used to design alternative land uses for sustainable agriculture. Here, we present a review of metaheuristics for land use optimization reported in 50 articles including 38 case studies carried out in 16 countries. Our main conclusions are: 1) the success of metaheuristics is problem-dependent. In general, metaheuristics enable search to escape from local optima and find a good global approximation solution.2) The choice of a given metaheuristic for solving a given problem seems to be driven by its historical use in a research team and by its popularity outside the metaheuristics research community, rather than by the characteristics of the problems to be solved and by the latest results from the metaheuristics research community. 3) Stakeholders of land use are increasingly involved at different levels of the land use optimization procedure and multi-actors decision-making methods are necessary to find trade-offs between their competing interests. 4) A future challenge is the use of parallelization techniques along with the hybridization of different metaheuristics or of metaheuristics with other optimization methods.

show abstract

Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling

Cited by 376 publications

References 16 publications

Land suitability assessment for post-earthquake reconstruction: A case study of Lushan in Sichuan, China

Land suitability assessment for post-earthquake reconstruction: A case study of Lushan in Sichuan, China

Roe deer reintroduction in central Portugal: a tool for Iberian wolf conservation

Metaheuristics for agricultural land use optimization. A review

Contact Info

Product

Resources

About