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An Integrated Agroforestal Suitability Model Using a GIS-Based Multicriteria Analysis Method: A Case Study of Portugal

Yıl 2018, Sayı: 3, 11 - 20, 01.12.2018

Öz

It is generally agreed that the choice of the most
suitable uses based in soil and climatic factors, complemented with
socio-economic criteria, promotes sustainable use of rural land. There are,
however, different methodologies for defining the soil suitability to
agroforestal systems or natural and seminatural ecosystems, including
agricultural uses, forest plantations, agro-forestry areas and priority areas
for nature conservation. Many of these methods rely on decision support systems
based on multicriteria spatial analysis. In this study we intended to determine
the different levels of suitability for agro-forestry use in a subregion
located in the center of Portugal, near the border with Spain. To the effect we
used a set of soil and topographic variables. The legal constraints and land
cover were also included. The suitability evaluation was performed using the Analytic
Hierarchy Process (AHP). A spatial analysis was also performed in order to
confront the land use matrix with the soil potentiality. This analysis allows
to identify areas where the use and management it is in accordance with their
suitability, as well as areas where the use must be subject to a conversion or
at least to a change of management mode.

Kaynakça

  • Antunes, O.E.D., (2012). Análise Multicritério em SIG para Determinação de um Índice Espacializado de Pressão Antrópica Litoral. Casos de Espinho, Caparica e Faro. Dissertação de Mestrado em Gestão do Território. Área de Especialização em Deteção Remota e Sistemas de Informação Geográfica. Universidade Nova de Lisboa. Faculdade de Ciências Sociais e Humanas. Lisboa. Collins, M. G., Steiner, F. R. & Rushman, M. J. (2001). Land-use suitability analysis in the United States: historical development and promising technological achievements. Environment Management. v. 28, n. 5, pp. 611-621. FAO (1976). A framework for land evaluation. FAO Soils bulletin 32. Rome. Kangas, J., Store, R.L., Leskinen, P., Mehtatalo, L. (2000). Improving the Quality of Landscape Ecological Forest Planning by Utilizing Advanced Decision-Support Tools. Forest Ecology and Management, Amsterdam, v.132, p.157-171. Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, v. 62, n. 1, pp. 3-65. Parimala, M. & Lopez, D. (2012). Decision making in agriculture based on land suitability – Spatial data analysis approach. Journal of Theoretical and Applied Information Technology, Vol. 46 No.1, pp. 17-23. Quinta-Nova, L.C., Roque, N., (2014) Agroflorestal Suitability Evaluation of a Subregional Area in Portugal Using Multicriteria Spacial Analysis. Internacional Congress of Landscape Ecology – Understanding Mediterranean Landscapes Human vs. Nature, 23-25 October. Antalaya. Turkey. Roy, B. (1996). Multicriteria methodology for decision aiding. Dordrecht. Kluwer Academic. Reynolds, K.M. & Hessburg, P.F. (2005). Decision support for integrated landscape evaluation and restoration planning. Forest Ecology and Management 207: 263-278. Saaty, T.L. (1980). The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation. 1st Ed., McGraw-Hill, New York. Schmoldt, D.L., Mendosa, G.A. & Kangas, J. (2001). Past Developments and Future Directions for the AHP in Natural Resources. In: D.L. Schmoldt, J. Kangas, G.A. Mendoza and M. Pesonen (eds.), The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making, pp: 289-305. Kluwer Academic Publications, Dordrecht, The Netherlands. Schmoldt, D.L. & Peterson, D.L. (1997). Using the Analytic Hierarchy Process for Decision-Making in Ecosystem Management. Analysis Notes of the W/O Ecosystems Management Analysis Centre, Fort Collins, Colorado, USA: Vol. 7, Issue 1: 17-22. Steiguer, J. E., Liberti, L., Schuler, A., Hansen, B., (2003). Multi-Criteria Decision Models for Forestry and Natural. USDA Forest Service, Northeastern Research Station, pp. 8; 16-23. UNESUL (1996). Análise da evolução de uma área da Península de Setúbal na sequência de um processo de alteração de uso. Relatório final do projecto 16/94 do Programa estímulo à investigação no domínio do Ordenamento do território e do Desenvolvimento Urbano, Associação Universidade-Empresa do Sul, Évora.
Yıl 2018, Sayı: 3, 11 - 20, 01.12.2018

Öz

Kaynakça

  • Antunes, O.E.D., (2012). Análise Multicritério em SIG para Determinação de um Índice Espacializado de Pressão Antrópica Litoral. Casos de Espinho, Caparica e Faro. Dissertação de Mestrado em Gestão do Território. Área de Especialização em Deteção Remota e Sistemas de Informação Geográfica. Universidade Nova de Lisboa. Faculdade de Ciências Sociais e Humanas. Lisboa. Collins, M. G., Steiner, F. R. & Rushman, M. J. (2001). Land-use suitability analysis in the United States: historical development and promising technological achievements. Environment Management. v. 28, n. 5, pp. 611-621. FAO (1976). A framework for land evaluation. FAO Soils bulletin 32. Rome. Kangas, J., Store, R.L., Leskinen, P., Mehtatalo, L. (2000). Improving the Quality of Landscape Ecological Forest Planning by Utilizing Advanced Decision-Support Tools. Forest Ecology and Management, Amsterdam, v.132, p.157-171. Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, v. 62, n. 1, pp. 3-65. Parimala, M. & Lopez, D. (2012). Decision making in agriculture based on land suitability – Spatial data analysis approach. Journal of Theoretical and Applied Information Technology, Vol. 46 No.1, pp. 17-23. Quinta-Nova, L.C., Roque, N., (2014) Agroflorestal Suitability Evaluation of a Subregional Area in Portugal Using Multicriteria Spacial Analysis. Internacional Congress of Landscape Ecology – Understanding Mediterranean Landscapes Human vs. Nature, 23-25 October. Antalaya. Turkey. Roy, B. (1996). Multicriteria methodology for decision aiding. Dordrecht. Kluwer Academic. Reynolds, K.M. & Hessburg, P.F. (2005). Decision support for integrated landscape evaluation and restoration planning. Forest Ecology and Management 207: 263-278. Saaty, T.L. (1980). The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation. 1st Ed., McGraw-Hill, New York. Schmoldt, D.L., Mendosa, G.A. & Kangas, J. (2001). Past Developments and Future Directions for the AHP in Natural Resources. In: D.L. Schmoldt, J. Kangas, G.A. Mendoza and M. Pesonen (eds.), The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making, pp: 289-305. Kluwer Academic Publications, Dordrecht, The Netherlands. Schmoldt, D.L. & Peterson, D.L. (1997). Using the Analytic Hierarchy Process for Decision-Making in Ecosystem Management. Analysis Notes of the W/O Ecosystems Management Analysis Centre, Fort Collins, Colorado, USA: Vol. 7, Issue 1: 17-22. Steiguer, J. E., Liberti, L., Schuler, A., Hansen, B., (2003). Multi-Criteria Decision Models for Forestry and Natural. USDA Forest Service, Northeastern Research Station, pp. 8; 16-23. UNESUL (1996). Análise da evolução de uma área da Península de Setúbal na sequência de um processo de alteração de uso. Relatório final do projecto 16/94 do Programa estímulo à investigação no domínio do Ordenamento do território e do Desenvolvimento Urbano, Associação Universidade-Empresa do Sul, Évora.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Luis Quınta-nova

Roque Natalıa

Yayımlanma Tarihi 1 Aralık 2018
Yayımlandığı Sayı Yıl 2018Sayı: 3

Kaynak Göster

APA Quınta-nova, L., & Natalıa, R. (2018). An Integrated Agroforestal Suitability Model Using a GIS-Based Multicriteria Analysis Method: A Case Study of Portugal. The Eurasia Proceedings of Science Technology Engineering and Mathematics(3), 11-20.