A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level

Qiu, Bingkui; Lu, Shasha; Zhou, Min; Zhang, Lu; Deng, Yu; Ci, Song; Zuo, Zhang

doi:10.3390/su7044643

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…The evaluation of spatial patterns of land use and its function in implementing ecological engineering is also considered imperative by scholars [52]. In general, in terms of the evaluation and research of the ecological effects of the spatial pattern of land use, a notable feature is the addition of ecological constraints, economic constraints, social constraints, land applicability constraints, and technical constraints at the front or end of the spatial pattern change to evaluate single or comprehensive ecological spatial effects of land use pattern changes [53]. The research scale includes both macro and micro aspects, especially the studies combining it with ecosystem services, greatly expanding the research connotation and space of the ecological effect evaluation of spatial pattern of land use.…”

Section: Ecological Effects Of Spatial Changes In Land Usementioning

confidence: 99%

Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects

Liu

Deng

et al. 2022

IJERPH

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Due to high-intensity human disturbance and rapid climate change, optimizing the spatial pattern of land use has become a pivotal path to restoring ecosystem functions and realizing the sustainable development of human–land relationships. This review uses the literature analysis method combined with CiteSpace to determine current research progress and frontiers, challenges, and directions for further improvement in this field. The main conclusions include the following: (a) research on the optimization of spatial pattern of land use has transformed from pattern description orientation to sustainable development orientation to ecological restoration orientation. Its research paradigm has changed from pattern to function to well-being; (b) the research frontier mainly includes spatial pattern of land use that takes into account the unity of spatial structure and functional attributes, the ecological mechanism and feedback effect of change in spatial pattern of land, the theoretical framework and model construction of land use simulation and prediction based on multiple disciplines and fields, and the adaptive management of sustainable land use in the context of climate change; (c) based on current research challenges, we integrate the research on landscape ecology and ecosystem service flows to develop an “element sets–network structure–system functions–human well-being” conceptual model. We also propose the strengthening of future research on theoretical innovation, spatiotemporal mechanism selection, causal emergence mechanism, the transformation threshold, and uncertainty. We provide innovative ideas for achieving sustainable management of land systems and territorial spatial planning with the aim of improving the adaptability of land use spatial optimization. This is expected to strengthen the ability of land systems to cope with ecological security and climate risks.

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Section: Ecological Effects Of Spatial Changes In Land Usementioning

confidence: 99%

Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects

Liu

Deng

et al. 2022

IJERPH

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“…Inspired by such application, scholars started to research LUSO under uncertainties. Thus far, Liu used interval linear programming for uncertain LUSO with economic value maximization as objective (Liu et al, 2007;Liu et al, 2009); Lu developed a multi-objective interval stochastic programming to address uncertain LUSO, of which some parameters were calculated by GIS spatially (Lu et al, 2014;Lu et al, 2015); Zhou proposed an interval fuzzy chance-constrained programming and a hybrid programming with interval and stochastic variables to manage uncertain LUSO (Zhou et al, 2014;Qiu et al, 2015;Zhou, 2015), and Wang established an uncertain interval multiple objective linear programming for LUSO (Wang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

An uncertain programming model for land use structure optimization to promote effectiveness of land use planning

2017

Chin. Geogr. Sci.

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Land use structure optimization (LUSO) is an important issue for land use planning. In order for land use planning to have reasonable flexibility, uncertain optimization should be applied for LUSO. In this paper, the researcher first expounded the uncertainties of LUSO. Based on this, an interval programming model was developed, of which interval variables were to hold land use uncertainties. To solve the model, a heuristics based on Genetic Algorithm was designed according to Pareto Optimum principle with a confidence interval under given significance level to represent LUSO result. Proposed method was applied to a real case of Yangzhou, an eastern city in China. The following conclusions were reached. 1) Different forms of uncertainties ranged from certainty to indeterminacy lay in the five steps of LUSO, indicating necessary need of comprehensive approach to quantify them. 2) With regards to trade-offs of conflicted objectives and preferences to uncertainties, our proposed model displayed good ability of making planning decision process transparent, therefore providing an effective tool for flexible land use planning compiling. 3) Under uncertain conditions, land use planning effectiveness can be primarily enhanced by flexible management with reserved space to percept and hold uncertainties in advance.

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