Strategic land-use allocation: dealing with spatial relationships and fragmentation of agriculture

Carsjens, G.J.; Knaap, W. van der

doi:10.1016/s0169-2046(01)00219-5

Cited by 88 publications

(38 citation statements)

References 8 publications

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“…Land-use optimization models typically involve the optimization of the size as well as the spatial pattern of land use [23]. Today, spatial pattern analysis [24][25][26][27][28] and spatial modelling [29][30][31][32] are widely used. Differences between models are often related to differences in context, purpose and scale of the study area.…”

Section: A Land-use Optimization Modelmentioning

confidence: 99%

A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region

et al. 2014

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Economic growth in China is accompanied by many problems, such as rapid deterioration of the environment and a sharp decline in the area of arable land. China's current land-use planning system fails to deal with these problems, especially at the regional level. The lack of sustainable spatial allocation at regional level has become a pressing problem. This article aims to: (1) analyze the reason why sustainable land use at the regional level is difficult to achieve under the current Chinese land-use planning system; (2) put forward a regional optimization model for sustainable land use; and (3) explore the usefulness and possibility of the future application of the model in supporting land-use planning. The model has been applied in a case study for the Poyang Lake Region, Jiangxi Province in China. Based on predictions of the demand of land in 2015, three single-objective scenarios were constructed: food production oriented, nature conservation oriented and economic growth oriented. An optimized, multi-objective pattern of sustainable land use was achieved by integrating the three single-objective scenarios. The relevance and applicability of the model were discussed with planning experts and practitioners. The results indicate that the model can contribute to a more sustainable regional land-use planning in China. However, the results also show a need for further research on how to embed wider social and economic aspects in the model. OPEN ACCESSSustainability 2015, 7 36

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Section: A Land-use Optimization Modelmentioning

confidence: 99%

A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region

et al. 2014

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“…Although generalized methodologies hold significant promise for developing transferable tools, the need for scale, location and policy-specific information and methods must be considered when the time comes to apply them in specific analyses. For instance, Carsens and van der Knaap (2002) explore the utility of GIS to help solve problems of agricultural land allocation. In order to apply their generalized method to their two differently scaled case studies, they must make use of case dependent information and techniques.…”

Section: Existing Farmland Preservation Gis Applicationsmentioning

confidence: 99%

Integrating GIS into farmland preservation policy and decision making

Tulloch

Myers

Hasse

et al. 2003

Landscape and Urban Planning

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The paper describes an experiment with the integration of geographic information systems (GIS) into farmland preservation techniques using the data and policies of Hunterdon County, NJ as a case study. The automation process incorporates a variety of factors as criteria for evaluating properties for a purchase of development rights. The spatially explicit criteria include evaluations of the soils, neighboring land uses, proximity to preserved farms, and local communities' commitment to practices contributing to sustaining farming. This automation is particularly notable in that it uses a parcel-based approach at a county-wide scale. This supports both an assessment of individual farms and a broad understanding of policy outcomes and pattern across the entire county. More interesting are the emerging pattern of benefits and barriers in the automation process highlighted by this exploration.

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“…In land-use planning and agronomy, such models are less frequent. Spatial models have been used for the simulation of crop allocations on a farm or over a regional territory (e.g., [28,8]), in order to understand or to plan the organisation of agricultural landscapes according to environmental problems (e.g., water pollution). Closer to ecological approaches, other studies have focused on the links between farming practices and ecological processes with process-explicit models [20,3].…”

Section: Introductionmentioning

confidence: 99%

Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation

Ber

Lavigne

Adamczyk³

et al. 2009

Ecological Modelling

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Abstract. Neutral landscape models are not frequently used in the agronomical domain, whereas they would be very useful for studying given agro-ecological or physical processes. Contrary to ecological neutral landscape models, agricultural models have to represent and manage geometrical patches and thus should rely on tessellation methods. We present a three steps approach that aimed at simulating such landscapes. Firstly, we characterized the geometry of three real field patterns; secondly, we generated simulated field patterns with two tessellation methods attempting to control the value of some of the observed characteristics and, thirdly, we evaluated the simulated field patterns. For this evaluation, we considered that good simulated field patterns should capture characteristics of real landscapes that are important for the targeted agro-ecological process. Real landscapes and landscapes simulated using either a Voronoi or a rectangular tessellation were thus compared when used as input data within a gene flow model. The results showed that neither tessellation method captured field shapes correctly, thus leading to over or (small) Voronoi tessellation, though, performed better than the rectangular tessellation. Possible research directions are proposed to improve the simulated patterns, including the use of post-processing, the control of cell orientation or the implementation of other tessellation techniques.

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Strategic land-use allocation: dealing with spatial relationships and fragmentation of agriculture

Cited by 88 publications

References 8 publications

A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region

A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region

Integrating GIS into farmland preservation policy and decision making

Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation

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