Development of a land use suitability model for saffron ( Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis

Maleki, Fahimeh; Kazemi, Hossein; Siahmarguee, Asieh; Kamkar, Behnam

doi:10.1016/j.ecoleng.2017.05.050

Cited by 57 publications

(29 citation statements)

References 19 publications

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“…Amin Tayebi proposed an urban growth boundary model using neural networks, GIS, and radial parameterization to estimate future urban growth boundaries under new perspectives [53]. The multifactor integrated overlay model based on GIS is widely used, which improves the accuracy and reliability of evaluation [54][55][56]. Thanh Tuan Nguyen designed a GIS-based multicriteria land suitability analysis that integrates agro-ecological aptitude, environmental impact, and socioeconomic feasibility criteria in a step-wise procedure combining recent advances in indicator selection, evaluation, and weighting of exploiting information from various data sources with functional mathematical combination procedures [57].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

et al. 2018

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The realization of regional sustainable development has been a popular research topic during the process of urbanization. To explore the coordination relationships between urban development and ecological security-taking Urumqi city, a representative arid city in Xinjiang, China, as a study area-this study has constructed a framework of spatial suitability evaluation based on the characteristics of a Mountain-Oasis-Desert System (MODS) in an arid area under the framework of major function oriented zoning (MFOZ). A spatial overlay analysis using Geographic Information System (GIS) with a 5 m × 5 m grid or towns and streets as the basic unit was applied to comprehensively evaluate spatial suitability. The results showed that the study area was zoned into a forbidden development zone (as patches set in towns and streets), an ecological protection zone (nine towns or streets), a moderate development zone (16 towns or streets), and a key development zone (82 towns or streets), accounting for 30.35%, 32.50%, 23.79%, and 13.36%, respectively. The zoning results provided a basis to pointedly put forward the development and protection strategies of each administrative unit; and the research framework can be applied to other arid areas for the decision-making related to the urban space layout and environmental management.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

et al. 2018

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“…The weight of such parameters was obtained through pairwise comparison and statistically analyzed. Consistency Ratio (CR) (< 10 %) was used to check the accuracy of comparisons (Saaty 2000;Malczewski 1999;Maleki 2017;Bozdağ 2016).…”

Section: Ahp Hierarchical Modelmentioning

confidence: 99%

Evaluation of land suitability for Cunninghamia konishii Hayata (Cupressaceae) planting in Vietnam

Pham

Shah

et al. 2021

GES

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The suitability of land for C. konishii was evaluated using the analytic hierarchy process (AHP) method, which included multiple criteria, such as elevation, soil, climate, and vegetation characteristics. 120 different sites of C. konishii were studied and the model approximations were verified by a confusion matrix. The subsistence of C. konishii was mainly affected by topographic features (elevation, slope) and soil (soil texture) conditions. 15 variables were selected for the ecological analysis and construction of the land suitability map. They were combined into four main groups for weights approximation. The weights obtained by AHP were calculated as follows: topographic features (65%), soil (21.3%), climate conditions (7.4%), and vegetation type (6.3%). The total area with the highest suitability was estimated at 4, 6, 2 and 8% of the province area in Son La, Ha Giang, Thanh Hoa, Nghe An, respectively. The suitable areas for planting were located in Mai Son, Muong La, Moc Chau, Sop Cop districts of Son La province; Hoang Su Phi, Xin Man districts of Ha Giang province; Muong Lat district of Thanh Hoa province; Que Phong, Ky Son, Tuong Duong, Con Cuong districts of Nghe An province. Nghe An province has the largest suitable area for planting. The estimated AHP accuracy was 91.6%, which indicates that the approach is reliable for forestry management. The current study will provide a ground to the local population for the selection of suitable lands, ensuring the sustainability of natural resources, sustainable use and quality forest production.

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“…As a case study, the Eswatini SSFM was developed using available and processed land cover, soil, and digital elevation models (DEM) and climatic data, including average annual temperature and precipitation. A detailed literature review was conducted to find suitable ranges of these parameters for efficient production of SL [4,[15][16][17][18]. The land cover image was developed with a hybrid image segmentation approach using a combination of ISODATA unsupervised clustering and maximum likelihood supervised clustering algorithms in ArcGIS Pro (ESRI, Redlands, CA, USA) on Landsat 8 tiles of September 2017.…”

Section: Environmental and Forage Nutrient Quality Data Collection Anmentioning

confidence: 99%

“…Any crop can grow with higher efficiency and better yield if it is grown on soil, elevation, land use, and climatic factors advantageous for its production. Many studies have established geographic information systems (GIS)-multi-criteria analysis (MCA) or spatial data integration to assess spatial crop suitability [15][16][17][18]. Such integrated GIS-MCA techniques have been considered within a large number of disciplines, including plant, animal, crop, and horticulture production optimization studies using suitable criteria [16,17].…”

Section: Introductionmentioning

confidence: 99%

Site-Specific Forage Management of Sericea Lespedeza: Geospatial Technology-Based Forage Quality and Yield Enhancement Model Development

et al. 2020

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Site-specific forage management (SSFM), comprising growth observation, impact assessment, and timely strategic response to small variations in sericea lespedeza (SL; Lespedeza cuneata (Dum-Cours.) G. Don) production, has been envisioned as a life-changing approach for resource-poor (R-P) farmers in developing countries, assisting in the effective rearing of their small ruminants. The application of geospatial technologies, including geographic information systems (GIS), remote sensing, global navigation satellite system, and information technology, can support SSFM but has not been widely used for site-specific forage management. From our previous studies, it appears that the entire range of condensed tannins of lespedeza, namely extractable condensed tannin (ECT), fiber-bound condensed tannin (FBCT), and protein-bound condensed tannin (PBCT), as well as crude protein (CP), are excellent for promoting small ruminant digestion and overall health. The goal of this study was to develop an SSFM strategy for SL to enhance animal production in areas of drought-prone, low pH, marginally infertile soils. To achieve this goal, study objectives were to: (i) develop statistical and artificial neural networks-based (ANN) models to identify if a sound correlation exists among forage growth environmental features and SL-ECT content; (ii) determine suitability criteria, including climate, soil, and land use/land cover (LULC), for mass scale production of SL and collect supporting environmental geospatial data; and (iii) develop an automated geospatial model for SL growth suitability analysis in relation to optimal areas for its production in a case-study location. Telemetric data and individual climatologic parameters (including minimum, maximum, and average temperature, humidity, dewpoint, soil temperatures at three depths, soil moisture, evapotranspiration, total solar radiation, and precipitation) were found to correlate well (>75%) with the forage production parameters, including values of SL-ECT from the Fort Valley State University (FVSU) research station in Georgia in the southern United States. A backpropagation neural network (BPNN) model was developed using similar climatic input parameters, along with elevation (topography) and a normalized difference vegetation index (NDVI) to estimate the forage’s ECT with a testing root mean square error (RMSE) of 1.18%. With good correlation obtained between the climatic, soil, slope, and land cover input parameters, and SL-ECT as the output parameter, an SSFM model was developed with potential application to R-P farmers in areas suitable for SL establishment and growth. Eswatini (previously Swaziland), a landlocked country in southern Africa, in which numerous R-P small ruminant (sheep and goat) farmers reside, was used as the case study location to develop the SL production suitability model. Geospatial data were used for automated model development in an ArcGIS Pro ModelBuilder platform to provide information on where to grow SL efficiently to economically feed small ruminants. Land use/land cover, soil, topography, and climate based geospatial data of the region helped in the development of the automated SSFM geospatial model for spatial growth suitability location determination to assist farmers of Eswatini with their SL production decision making. This automated model can easily be replicated for farmers in other countries in Africa, as well as in other parts of the world having similar climatic conditions.

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Development of a land use suitability model for saffron ( Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis

Cited by 57 publications

References 19 publications

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

Evaluation of land suitability for Cunninghamia konishii Hayata (Cupressaceae) planting in Vietnam

Site-Specific Forage Management of Sericea Lespedeza: Geospatial Technology-Based Forage Quality and Yield Enhancement Model Development

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