Um novo modelo espacial para avaliação de adequação ecológica da agricultura irrigada no condado de Jahrom, Irã

Autores

  • Parviz Jokar Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz https://orcid.org/0000-0002-8831-6872
  • Masoud Masoudi Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz https://orcid.org/0000-0001-7059-456X
  • Biswajeet Pradhan Centre for Advanced Modelling and Geospatial Information Systems, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney https://orcid.org/0000-0001-9863-2054

DOI:

https://doi.org/10.1590/1983-21252023v36n119rc

Palavras-chave:

Avaliação. Agricultura. Booleano. Geo-média. GIS.

Resumo

A avaliação da adequação agrícola é um processo que requer dados espaciais, ferramentas de geo informação e a expertise de um cientista da computação para analisar as informações. O principal objetivo deste artigo é propor um novo modelo (baseado no modelo ecológico iraniano e no modelo da Organização das Nações Unidas para Agricultura e Alimentação (FAO)) para avaliação da adequação ecológica com métodos geométricos de avaliação média e calibração para uma melhor gestão do planejamento das terras irrigadas.  Em seguida, para verificar e comparar o método proposto com outros métodos já conhecidos existentes, foram utilizados métodos como, lógica booleana e modelos MCE (WLC). Para o teste desses modelos, foi utilizado o índice de vegetação de diferença normalizada (NDVI). Os achados desta pesquisa mostraram que o modelo proposto por geo-média e calibração (kappa=0,79) é o melhor entre os métodos utilizados. Pelo contrário, o método médio aritmético mostrou a menor precisão (kappa=0).  Assim, esses métodos (avaliação e calibração média geométrica) têm alta flexibilidade na localização de terras agrícolas. No geral, este estudo pode ser utilizado como um quadro básico para avaliar a adequação ecológica para outras regiões com condições semelhantes devido à sua simplicidade e alta precisão.

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Referências

ALAVI PANAH, S. K. et al. The use of TM thermal band for land cover/land use mapping in two different environmental conditions of Iran. Journal of Agricultural Science and Technology, 3: 27–36, 2001.

AMIRI, M. J. et al. Comparison of maps overlay systemic method and boolean-fuzzy logic in the ecological capability evaluation of no. 33 and 34 watershed forests in northern iran. Environmental Sciences, 7: 109-124, 2010.

AMARSAIKHAN, D. et al. An integrated approach of optical and SAR image for forest change study. Asian Journal of Geoinformatics, 4: 27-32, 2004.

ASADIFARD, E. et al. Evaluating the ecological potential for rangeland use by various land-use planning methods in Firozabad County. Rangeland, 13: 14-25, 2019.

AYALEW, G. A Geographic information system based physical land suitability evaluation to groundnut and sweet potato in east Amhara, Highlands of Ethiopia. Journal of Biology, Agriculture and Healthcare, 5: 33-38, 2015.

CARVER, S. J. Integrating multi-criteria evaluation with geographic information systems. International Journal of Geographical Information Science, 5: 321-339, 1991.

CONGALTON, R. G. A Review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing Environment, 37: 35-46, 1991.

ELAALEM, M.; COMBER, A.; FISHER, P. Land Suitability Analysis comparing Boolean logic with fuzzy analytic hierarchy process: In: Accuracy 2010 Symposium, 2010, Leicester, Proccedings… Leicester: ISARA, 2010. p. 245-247.

ELSHEIK, A. R. et al. An Agricultural Investment Map Based On Geographic Information System and Multi-Criteria Method. Journal of Applied Sciences, 10: 1596–1602, 2010.

FALLAH, M. S. H. et al. Zoning Ecological Capability Evaluation of Kasilian Watershed for Agricultural Utilization Using GIS. Journal of Geography and Environmental Studies, 34: 115-126, 2009.

FALLAH SHAMSI, S. R. Accuracy Assessment of Satellite Based Maps Using Sampling. MSc Dissertation, Faculty of Natural Resources, University of Tehran, Iran, 1997.

FALLAH SHAMSI, S. R. Economic Evaluation of Different Land uses in Kalibar-chai Forest-covered Watershed, Using Linear Programming and Geographical Information Systems. PhD Thesis Report, Natural Resource Faculty, Tehran University, Karaj, Iran, 2004.

FAO - Food and Agriculture Organization of the United Nations. Guidelines: Land Evaluation for Rained Agriculture. Soils Bulletin 52. Rome, 1983. 237 p.

FAO - Food and Agriculture Organization of the United Nations. A framework for land evaluation. Soils Bulletin 32. Soil resources development and conservation service land and water development division, Rome, 1976, 87 p.

FAO - Food and Agriculture Organization of the United Nations. Food Security in Libya. An Overview, World Food Programme, 36, 2011.

FENG, L.; ZHU, X.; SUN, X. Assessing coastal reclamation suitability based on a fuzzy-AHP comprehensive evaluation framework: A case study of Lianyungang, China. Marine Pollution Bulletin, 89: 102-111, 2014.

FROJA. N. Fuzzy-GIS Development of Land Evaluation System for Agricultural Production in North West Libya. PhD Thesis, Heriot-Watt University, School of the Built Environment. 2013.

GHADIMI, M. et al. Protection Modeling of Manesht and Ghalarang Protected Areas Using Fuzzy logic. Environmental Sciences, 8: 85-106, 2011.

HATAMINEJAD, H. et al. The Evaluating of Land Use Suitability by the Method of Ecological Potential in the Ardebil Province toward Land use Planning. Town and Country Planning, 5: 5-26, 2013.

HE, Y. et al. Regional Land Suitability Assessment for Tree Crops Using Remote Sensing and GIS: In: CONFERENCE OF COMPUTER DISTRIBUTED CONTROL AND INTELLIGENT ENVIRONMENTAL MONITORING (CDCIEM), 2011, Changsha. Proccedings… Changsha: IEEE, 2011. p. 354-363.

HOLBEN, B. N. Characteristics of Maximum Value Composite Images from Temporal AVHRR Data. International Journal of Remote Sensing, 7: 1417-1434, 1986.

JAHANTIGH, H. R.; MASOUDI, M.; JOKAR, P. A quantitative approach to land use planning using GIS – A case study of Chabahar County, Iran. European Journal of Environmental Sciences, 9: 12–20, 2019.

JOKAR, P.; MASOUDI, M. Land Suitability for Urban and Industrial Development by a Proposal Model, Case Study: Jahrom Township, Iran. Journal of Environmental Studies, 42: 135-149, 2016.

JOKAR, P.; MASOUDI, M.; KARIMI, F. An MCE-based innovative approach to evaluating ecotourism suitability using GIS. Cuadernos de Investigación Geográfica, 47: 545-556, 2021.

KESHAVARZI, A. et al. Land suitability evaluation using fuzzy continuous classification (A case study: Ziaran region). Modern Applied Science, 4: 72-81, 2010.

KOSMAS, C.; POESEN, J.; BRIASSOULI, H. Key Indicators of Desertification at the Environmentally Sensitive Areas (ESA) Scale, the Medalus Project: Mediterranean Desertification and Land Use. Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertifica­tion. Project report. European Commissio, 88 p, 1999.

LEE, T. M.; YEH, H. C. Applying Remote Sensing Techniques to Monitor Shifting Wetland Vegetation: A Case Study of Danshui River Estuary Mangrove Communities. Taiwan. Ecological engineering, 35: 487–496, 2009.

LIAO, H. L.; WU, Q. H. Multi objective optimition by learning outomata. Journal of Global Optimization, 55: 459-487, 2013.

MAKHDOUM, M. Principles of Land Use Planning. University of Tehran, Iran, 2006, 289 p.

MAKHDUOM, M. et al. Environmental Evaluation and Planning by Geographic Information System. University of Tehran, Iran, 2009, 304 p.

MALCZEWSKI, J. GIS-Based Land-Use Suitability Analysis: A Critical Overview. Progress in Planning, 62: 3–65, 2004.

MAPEDZA, E.; WRIGHT, J.; FAWCETT, R. An Investigation of Land Cover Change in Mafungautsi Forest, Zimbabwe, Using GIS and Participatory Mapping. Applied Geography, 23: 1-21, 2003.

MASOUDI, M. Risk Assessment of Vegetation Degradation Using GIS. Journal of Agricultural Science and Technology, 16: 1711-1722, 2014.

MASOUDI, M., JOKAR, P. Land-use planning using a quantitative model and geographic information system (GIS) in Shiraz Township, Iran. Ecopersia, 3: 959–974, 2015.

MASOUDI, M. et al. A GIS-based quantitative model for land use planning in Larestan County, Iran. EQA-International Journal of Environmental Quality, 40: 19-30, 2020.

MASOUDI, M.; JOKAR, P.; SADEGHI, M. Land use planning using a quantitative model and geographic information system (GIS) in Darab County, Iran. Journal of Materials and Environmental Sciences, 8: 2975–2985, 2017.

MASOUDI, M.; ZARE, R. Different Irrigation Methods and Their Comparisons Based on the Parametric Evaluation Method in Khosouyeh Dam Subbasin, Iran. Journal of Resources and Ecology, 10: 504-510, 2019.

MARTIN, D.; SAHA, S. K. Land Evaluation by Integrating Remote Sensing and GIS for Cropping System Analysis in a Watershed. Current Science, 96: 569-575, 2009.

MCHARG, I. L. Design with Nature. Wiley, New York, 1969, 208 p.

MITRA, D.; ILANGOVAN, D. Site Selection for Harbour Facilities in the Gulf of Cambay, India Using Geographic Information System. Asian Journal of Geoinformatic, 4: 81-86, 2004.

MU, Y. Developing a Suitability Index for Residential Land Use: A Case Study in Dianchi Drainage Area. MSc thesis in Environmental Studies in Geography, Waterloo, Ontario, Canada. 2006.

MASEL ULLAH, K. Urban land-use planning using Geographical Information System and Analytical Hierarchy Process: Case study Dhaka city. Master degree thesis, 30 credits in Master in Geographical Information Sciences (GIS) Department of Physical Geography and Ecosystems Science, Lund University. 2014.

NAZARI VIAND, F. et al. Land Suitability Assessment for Agriculture Using Analytical Hierarchy Process in Northern Parts of Khalkhal County (Case Study: Mikaeel Abad catchment). Agriculture Science and Sustainable Production, 30: 225-239, 2019.

NWER, B. The Application of Land Evaluation Technique in the North-East of Libya. PhD Thesis, Faculty of Environment, Cranfield University, Silsoe. Cranfield University at Silsoe, 2006.

O’NEILL, R. V. Perspectives in Hierarchy and Scale. In: ROUGHARDEN, J.; MAY, R. M.; LEVIN, S. A. (Eds.). Perspectives in Ecological Theory. Princeton University Press. Paul, 1989, p. 140–156.

PAN, G.; PAN, J. Research in Crop Land Suitability Analysis Based on GIS. Computer and Computing Technologies in Agriculture, 5: 314–325, 2012.

POURKHABBAZ, H. R.; JAVANMARDI, S.; FARAJI SABOKBAR, H. A. Suitability Analysis for Determining Potential Agricultural Land Use by the Multi-Criteria Decision Making Models SAW and VIKOR-AHP (Case study: Takestan-Qazvin Plain). Journal of Agricultural Science and Technology, 16: 1005-1016, 2014.

PRAKASH, T. N. Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach. MSc thesis in Science in Geoinformatics, ITC, Netherlands, 2003.

RADAN, Z. et al. Comparison Ability between FAO and Iran Ecological Models to Estimate of Capability Ecological land for Using Pasture. Journal of Environmental Science and Technology, 18: 89-103, 2017.

ROSSITER, D. G. A Theoretical Framework for Land Evaluation. Geoderma, 72: 165–190, 1996.

SAFARIPOUR, M.; NASERI, D. Ecological Land Capability Evaluation for Agriculture and Range Management Using WLC Method (Case study: Onarchay watershed, Ardabil province). Journal of Environmental Science and Technology, 21: 113-123, 2019.

SEPEHR, A. et al. Quantitative assessment of desertification in south of Iran using MEDALUS method. Environmental Monitoring and Assessment, 134: 243-254, 2007.

SONNEVELD, M. P. W. et al. Thirty Years of Systematic Land Evaluation in the Netherlands. Geoderma, 156: 84–92, 2010.

TAYLOR, J. C.; WOOD, J. A.; THOMAS, G. Mapping Yield Potential with Remote Sensing: In: FIRST EUROPEAN CONFERENCE ON PRECISION AGRICULTURE, 1997, London. Proccedings… London: Warwick University, 1997. p. 713-720.

ZAKERINEJAD, R., MASOUDI, M. Quantitative mapping of desertification risk using the modified MEDALUS model: a case study in the Mazayejan Plain, Southwest Iran. Auc Geographica, 54: 232-239, 2019.

ZONNEVELD, I. S. The Land Unit – A Fundamental Concept in Landscape Ecology, and Its Applications. Landscape Ecology, 3: 67–86, 1989.

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Publicado

01-12-2022

Edição

Seção

Engenharia Agrícola