A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand

Pilehforooshha, Parastoo; Karimi, Mohammad; Taleai, Mohammad

doi:10.1016/j.agsy.2014.07.001

Cited by 39 publications

(17 citation statements)

References 32 publications

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“…Many authors have reported the advantages of using GIS in environmental zoning (BOTEVA et al, 2004;GENELETTI;van DUREN, 2008;HAJEHFOROOSHNIA et al, 2011;PILEHFOROOSHHA et al, 2014). The automatic generation of each step of the process precludes subjectivity in the interpretation of the results because the development of zoning for a protected area demands that complex decisions be made.…”

Section: Altitudementioning

confidence: 99%

Defining Priority Zones for Conservation and Ecotourism in a Protected Area

et al. 2016

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-With the objective of promoting nature conservation, this study proposes an environmental zoning for a protected area that contains part of the remaining Atlantic Forest, a global hotspot that is home to several endangered species of flora and fauna. Conflicting therewith, the protected area is an important tourist attraction in the region and receives many visitors throughout the year. For the zoning preparation, the main factors and constraints of each objective (ecotourism and conservation) are established, and a multicriteria analysis is used, in addition to the MOLA (Multi-Objective Land Allocation) algorithm, to establish the most suitable areas for each use. Extreme protection areas are defined through the intersection of endemic vegetation and soils and altitudes above 1,500 m. Thus, a fraction of 18% is obtained for extreme protection, 59% for conservation, and 23% for areas destined for ecotourism development. The results demonstrate the advantages of using these methods, due to their simplicity, which can support administrators in planning the protected area. The zoning is in accordance with the International Union for Conservation of Nature (IUCN) recommendation because the conservation area corresponds to approximately 77% of the park area, reinforcing the suitability and applicability of the methodology that is used for the zoning of a protected area.Keywords: GIS; Preservation area; Zoning. DEFINIÇÃO DE ZONAS PRIORITÁRIAS PARA A CONSERVAÇÃO E ECOTURISMO EM UMA ÁREA PROTEGIDARESUMO -Neste trabalho foi proposto um zoneamento para uma área protegida, que tem como missão a conservação da natureza e contém parte da Mata Atlântica residual, um hotspot mundial, que abriga diversas espécies da fauna e flora ameaçadas de extinção. Conflitando-se a esse uso, a área protegida é um importante atrativo turístico da região e recebe muitos visitantes ao longo do ano. Para a elaboração do zoneamento, foram estabelecidos os principais fatores e restrições de cada objetivo (ecoturismo e conservação) e utilizouse de uma análise multicritério e do algoritmo MOLA (Multi-Objective Land Allocation) para estabelecer as áreas mais adequadas a cada uso. Foram estipuladas áreas de proteção extrema, através de uma interseção entre solos e vegetação endêmicas e altitudes superiores a 1500 m. Assim, obteve-se uma fração de 18% para as áreas destinadas a proteção extrema, 59% para a conservação e 23% para as destinadas ao desenvolvimento do ecoturismo. Os resultados explicitaram as vantagens da utilização desses métodos dada a sua simplicidade, podendo auxiliar os gestores no planejamento da área protegida. O zoneamento obtido está de acordo com a recomendação da IUCN, visto que a área de conservação correspondeu à aproximadamente 77% da área do parque, reforçando a adequabilidade e aplicabilidade da metodologia empregada para o objetivo de zoneamento de área protegidas.Palavras-chave: SIG; Área de preservação; Zoneamento.

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Section: Altitudementioning

confidence: 99%

Defining Priority Zones for Conservation and Ecotourism in a Protected Area

et al. 2016

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“…Luo et al, 2010;Britz et al, 2011;Akıncı et al, 2013;Pilehforooshha et al, 2014). But there is an emerging need to introduce new models at large country-level or provincial scale (Priya & Shibasaki, 2001).…”

Section: Introductionmentioning

confidence: 99%

Modeling the spatial distribution of crop cultivated areas at a large regional scale combining system dynamics and a modified Dyna-CLUE: A case from Iran

Mesgari

Jabalameli

2018

Span. j. agric. res.

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Agricultural land use pattern is affected by many factors at different scales and effects that are separated by time and space. This will lead to simulation models that optimize or project the cropping pattern changes and incorporate complexities in terms of details and dynamics. Combining System Dynamics (SD) and a modified Conversion of Land Use and its Effects (CLUE) modelling framework, this paper suggests a new dynamic approach for assessing the demand of different crops at country-level and for predicting the spatial distribution of cultivated areas at provincial scale. As example, a case study is presented for Iran, where we have simulated a scenario of future cropping pattern changes during 2015-2040. The results indicated a change in the spatial distribution of cultivated areas during the next years. An increase in the proportion of rice is expected in northern Iran, whereas the proportion of wheat is increasing in the mountainous western areas. Wheat and barley crops are expected to become dominant within the cropping system throughout the country regions.

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“…Agricultural land use allocation is the core issue of agricultural land and water resource allocation optimization [5,6]. Not only can it guide decision makers in assessing land demand for different crop types, but it can also identify the optimum land spatial unit with characteristics that are related to their geographical locations for each crop type [7][8][9], as well as simultaneously seeking the best land use layout [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…The process of agricultural land-use allocation would be undertaken in three main stages: (i) demand assessment; (ii) agricultural land suitability evaluation; and (iii) spatial distribution of crop types [7].…”

Section: Introductionmentioning

confidence: 99%

Spatial Optimization of Agricultural Land Use Based on Cross-Entropy Method

Hao

Singh

et al. 2017

Entropy

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An integrated optimization model was developed for the spatial distribution of agricultural crops in order to efficiently utilize agricultural water and land resources simultaneously. The model is based on the spatial distribution of crop suitability, spatial distribution of population density, and agricultural land use data. Multi-source remote sensing data are combined with constraints of optimal crop area, which are obtained from agricultural cropping pattern optimization model. Using the middle reaches of the Heihe River basin as an example, the spatial distribution of maize and wheat were optimized by minimizing cross-entropy between crop distribution probabilities and desired but unknown distribution probabilities. Results showed that the area of maize should increase and the area of wheat should decrease in the study area compared with the situation in 2013. The comprehensive suitable area distribution of maize is approximately in accordance with the distribution in the present situation; however, the comprehensive suitable area distribution of wheat is not consistent with the distribution in the present situation. Through optimization, the high proportion of maize and wheat area was more concentrated than before. The maize area with more than 80% allocation concentrates on the south of the study area, and the wheat area with more than 30% allocation concentrates on the central part of the study area. The outcome of this study provides a scientific basis for farmers to select crops that are suitable in a particular area.

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A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand

Cited by 39 publications

References 32 publications

Defining Priority Zones for Conservation and Ecotourism in a Protected Area

Defining Priority Zones for Conservation and Ecotourism in a Protected Area

Modeling the spatial distribution of crop cultivated areas at a large regional scale combining system dynamics and a modified Dyna-CLUE: A case from Iran

Spatial Optimization of Agricultural Land Use Based on Cross-Entropy Method

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