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.

Highlights

  • The rising human population, projected to reach 9 billion by 2050 [1], is expected to dramatically increase the demand for agricultural food production, placing significant pressure on soil and water sustainability

  • Modeling the interactions among land management practices, food production and water quality at different locations, and identifying more effective land allocations are important for improving agricultural watershed sustainability

  • Our second framework for solving the fragmentation-free land allocation (FF-LA) problem is based on spatial optimization

Read more

Summary

Introduction

The rising human population, projected to reach 9 billion by 2050 [1], is expected to dramatically increase the demand for agricultural food production, placing significant pressure on soil and water sustainability. Modeling the interactions among land management practices, food production and water quality at different locations, and identifying more effective land allocations are important for improving agricultural watershed sustainability. This has been identified by conservation groups, agricultural producers, and agribusiness as a core strategy for sustainable development. Spatial optimization offered promising solutions which could potentially help stakeholders balance conflicting objectives and assist their discussion towards a final implementation plan. This motivates further study on the hybrid framework which integrates spatial optimization into collaborative geodesign

Basic Concepts
Formal Problem Definition
Objective
Challenges
Related Work and Novelty
Novelty
Overall Architecture
Spatial Optimization
Towards the Future: A Hybrid Framework
Case Study
Stakeholder Solution with Collaborative Geodesign
Computer-Suggested Solutions with Spatial Optimization
Comparison of Land Allocation Approaches
Conclusions and Future Work

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.