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ISPRS Int. J. Geo-Inf. 2017, 6(7), 226; doi:10.3390/ijgi6070226

Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation

1
Department of Computer Science and Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
2
Department of Geography, Environment and Society, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
3
U-Spatial, Research Computing, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
4
Department of Soil, Water, and Climate, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
5
Department of Agronomy and Plant Genetics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
*
Author to whom correspondence should be addressed.
Received: 30 May 2017 / Revised: 12 July 2017 / Accepted: 17 July 2017 / Published: 21 July 2017
(This article belongs to the Special Issue Spatiotemporal Computing for Sustainable Ecosystem)
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Abstract

Demand for agricultural food production is projected to increase dramatically in the coming decades, putting at risk our clean water supply and prospects for sustainable development. Fragmentation-free land allocation (FF-LA) aims to improve returns on ecosystem services by determining both space partitioning of a study area and choice of land-use/land-cover management practice (LMP) for each partition under a budget constraint. In the context of large-scale industrialized food production, fragmentation (e.g., tiny LMP patches) discourages the use of modern farm equipment (e.g., 10- to 20-m-wide combine harvesters) and must be avoided in the allocation. FF-LA is a computationally challenging NP-hard problem. We introduce three frameworks for land allocation planning, namely collaborative geodesign, spatial optimization and a hybrid model of the two, to help stakeholders resolve the dilemma between increasing food production capacity and improving water quality. A detailed case study is carried out at the Seven Mile Creek watershed in the midwestern US. The results show the challenges of generating near-optimal solutions through collaborative geodesign, and the potential benefits of spatial optimization in assisting the decision-making process. View Full-Text
Keywords: collaborative geodesign; optimization; spatial constraints; sustainability; land allocation; fragmentation collaborative geodesign; optimization; spatial constraints; sustainability; land allocation; fragmentation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xie, Y.; Runck, B.C.; Shekhar, S.; Kne, L.; Mulla, D.; Jordan, N.; Wiringa, P. Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. ISPRS Int. J. Geo-Inf. 2017, 6, 226.

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