scholarly journals An Empirical Application of the Linear Programming Model for Agricultural Land Use Planning through the Valuation of Negative Externalities Caused by Abandoning Farmland in Marginal Areas

2008 ◽  
Vol 10 (0) ◽  
pp. 1-11 ◽  
Author(s):  
Hironori Yagi
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Programming Model ◽  
Linear Programming Model ◽  
Agricultural Land Use ◽  
Negative Externalities ◽  
Empirical Application ◽  
Marginal Areas

Multiobjective Linear Programming Model as Applied to Regional Land-Use Planning

1977 ◽  
Vol 10 (8) ◽  
pp. 161-168
Author(s):  
Y. Nishikawa ◽  
Nobuo Sannomiya ◽  
M. Maeda ◽  
Teitaro Kitamura
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Land Use Planning ◽  
Programming Model ◽  
Linear Programming Model ◽  
Multiobjective Linear Programming ◽  
Regional Land

scholarly journals USTED: a methodology for a quantitative analysis of land use scenarios

1995 ◽  
Vol 43 (1) ◽  
pp. 5-18 ◽  
Author(s):  
J.J. Stoorvogel ◽  
R.A. Schipper ◽  
D.M. Jansen
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Agricultural Land ◽  
Programming Model ◽  
Computer Software ◽  
Simulation Models ◽  
Linear Programming Model ◽  
Chemical Compositions ◽  
Attribute Data

Scenarios are a useful tool to study the effects of changes in the socio-economic and/or biophysical environment on agricultural land use. For the analysis of these scenarios an operational methodology, USTED, has been developed. The methodology is based on a linear programming model in combination with GIS, crop growth simulation models, and expert systems. The data requirements include quantitative descriptions of land use systems and technologies, attribute data on such features as prices and chemical compositions, and georeferenced data on farms and soils. Sustainability is incorporated in the methodology by a limited number of quantified sustainability parameters. The linear programming model analyses, on the basis of different farm types, the effect of different scenarios on land use. Customized computer software (MODUS) is used to integrate the different models. The methodology is illustrated with a case study for the Neguev settlement in the Atlantic Zone of Costa Rica.

scholarly journals An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 364
Author(s):  
Sahar Shahpari ◽  
Janelle Allison ◽  
Matthew Tom Harrison ◽  
Roger Stanley
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Commodity Prices ◽  
Global Scale ◽  
Agricultural Land Use ◽  
Climate Type ◽  
Crop Selection ◽  
Regional Impacts ◽  
Farmer Decision Making

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.

Land characteristics and plant resources in relation to agricultural land-use planning in a humid tropical strand plain, southeastern Thailand

2003 ◽  
Vol 65 (3) ◽  
pp. 133-148 ◽  
Author(s):  
Satoru Okubo ◽  
Kazuhiko Takeuchi ◽  
Benjaporn Chakranon ◽  
Apichart Jongskul
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Plant Resources

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

scholarly journals A framework to study nearly optimal solutions of linear programming models developed for agricultural land use exploration

2000 ◽  
Vol 131 (1) ◽  
pp. 65-77 ◽  
Author(s):  
David Makowski ◽  
Eligius M.T Hendrix ◽  
Martin K van Ittersum ◽  
Walter A.H Rossing
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Agricultural Land ◽  
Programming Models ◽  
Agricultural Land Use ◽  
Optimal Solutions
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