通过相互作用网络揭示土地竞争:一个基于一致性的挖掘和模拟模型,整合了土地利用的抑制效应

IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY
Xun Liang , Jun-Long Huang , Qingfeng Guan
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引用次数: 0

摘要

探索多种土地利用之间的竞争关系,可以揭示土地系统演化过程的根本机制。然而,量化土地用途之间的竞争仍然是一个挑战。由于大多数土地利用模拟研究未考虑空间适宜性图、邻域聚集效应、多土地利用随机效应等影响下的幅值差异,土地利用间的驱动和抑制作用尚未得到充分的研究。为了解决这个问题,我们提出了一个基于一致性模拟的交互网络发现模型,称为intPLUS(可在https://github.com/HPSCIL/intPLUS下载),以发现土地利用之间的交互关系,并改进对未来土地利用变化的预测。该模型利用对数变换将权重嵌入到多种影响中,包括土地利用间抑制效应,这些效应驱动土地利用演变。利用随机森林(RF)模型对正确预测的土地利用变化(即一致性)进行分析,探讨土地利用之间驱动和抑制效应的权重。该模型应用于中国武汉。结果表明,“耕地”受到较大的限制,并受到其他土地利用的限制。交互网络的应用在校准和未来分配过程中分别获得了30%和13%的精度提高。该模型充分利用了空间仿真过程的一致性信息;由该模型推导出的土地利用之间的相互作用网络为我们理解空间竞争提供了一种有见地的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling land competition through interaction networks: A consistency-based mining and simulation model that integrates inhibiting effects of land uses
Exploration of the competition among multiple land uses can reveal the fundamental mechanism of the evolution process of land system. However, quantification of the competition among land uses remains a challenge. Because most land use simulation studies do not consider the amplitude differences resulting from the influences of the spatial suitability map, neighborhood aggregation effect, and stochastic effect of multiple land uses, the driving and inhibiting effects among land uses have not yet been thoroughly discovered. To address this problem, we propose an interaction network discovery model via consistency-based simulation, called intPLUS (available for download at https://github.com/HPSCIL/intPLUS), to find the interaction relationships among land uses and to improve the projections of future land use changes. This model uses the logarithm transformation to embed weights into multiple effects, including the inter-land use inhibiting effects, which drive the evolution of land use. The correctly projected land use change (i.e., consistency) is analyzed with a random forest (RF) model to explore the weights of the driving and inhibiting effects between land uses. This model is applied to Wuhan, China. The results showed that ‘cultivated field’ was greatly restrained and was restrained by other land uses. The application of the interaction network obtained accuracy enhancements of 30% and 13% in the calibration and future allocation processes, respectively. This model takes full advantage of the consistency information of the process of spatial simulation; the interaction network among land uses derived by the proposed model provides an insightful means to advance our understanding of spatial competition.
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来源期刊
Landscape and Urban Planning
Landscape and Urban Planning 环境科学-生态学
CiteScore
15.20
自引率
6.60%
发文量
232
审稿时长
6 months
期刊介绍: Landscape and Urban Planning is an international journal that aims to enhance our understanding of landscapes and promote sustainable solutions for landscape change. The journal focuses on landscapes as complex social-ecological systems that encompass various spatial and temporal dimensions. These landscapes possess aesthetic, natural, and cultural qualities that are valued by individuals in different ways, leading to actions that alter the landscape. With increasing urbanization and the need for ecological and cultural sensitivity at various scales, a multidisciplinary approach is necessary to comprehend and align social and ecological values for landscape sustainability. The journal believes that combining landscape science with planning and design can yield positive outcomes for both people and nature.
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