2022
DOI: 10.31497/zrzyxb.20220710
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Land use pattern optimization and evaluation based on ESV of agro-pastoral ecotone in Northeast China

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Cited by 2 publications
(2 citation statements)
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“…ABM realizes bottom-up micro-interactions between land units by formulating a series of stress strategies to avoid local information loss. Nevertheless, its distributed simulation method means that the computational cost is high, and the scale effect caused by some synergistic changes often leads to simulation failure [37]. In contrast, the CLUE-S model drives global evolution with environmental adaptability and realizes automatic correction of unit evolution by integrating a series of local rules, which combines both global and local simulation advantages [38,39].…”
Section: Introductionmentioning
confidence: 99%
“…ABM realizes bottom-up micro-interactions between land units by formulating a series of stress strategies to avoid local information loss. Nevertheless, its distributed simulation method means that the computational cost is high, and the scale effect caused by some synergistic changes often leads to simulation failure [37]. In contrast, the CLUE-S model drives global evolution with environmental adaptability and realizes automatic correction of unit evolution by integrating a series of local rules, which combines both global and local simulation advantages [38,39].…”
Section: Introductionmentioning
confidence: 99%
“…12 期 游和远 等:基于生态价值与生态产品价值实现潜力权衡的全域土地综合整治用地优化 使用。土地利用结构优化通过优化配置各种地类的数量实现了土地利用中的经济利益-生态系统服务平衡、城市土地生态适宜化利用、碳排放总量控制、生态优先、生态-经 济协调发展等方面的目标 [7][8][9][10][11] 。土地利用布局优化通过运用 GIS 技术实现了土地资源配置 从数量优化向空间优化的深化。土地利用布局优化中,元胞自动机 [12] 、多智能体模型 [13] 、 CLUE-S 模型 [14,15] 、FLUS 模型 [16] 、GeoSOS-FLUS 模型 [17] 等为代表的空间模拟工具被广泛 使用。模拟工具在多情景土地利用格局优化 [10,14,18] 、城市增长边界划定 [16] 、三生空间功能 格局优化 [19] 、轨道交通影响分析 [20] 等土地利用布局优化领域进行了运用。因此运用现有 的工具,也可以实现基于生态价值与生态产品价值实现潜力权衡的全域土地综合整治用 地优化。 全域土地综合整治应该均衡配置生产、生活、生态空间。生态空间通过提供生态产 品或生态系统服务保障了生产空间与生活空间效用的发挥,而生产和生活空间则承载了 生态空间发挥功能所需的生产过程和配套公共服务 [21] 的生态系统。采用由谢高地等 [24] 改进过的当量因子法估算全域土地综合整治主要建设项目 的生态价值。谢高地等 [24] 在 Costanza 等 [25] 和谢高地等 [26] 的研究基础上,更新了中国的单位 面积价值当量表。1 个标准单位的生态系统服务价值当量因子为研究区 1 公顷平均产量的 农田每年自然粮食产量的经济价值 (即农田食物生产的经济价值) 。多数研究中 1 个生态 服务价值当量因子的经济价值量等于研究区当年平均粮食单产市场价值的 1/7 [26,27] 。一般 [24] 成果中的生态价值地类进行归类匹配,以满足生态价值计算的需要。基于中国 单位面积生态服务价值当量表 [24] [17] 、Liu 等 [28] 改进了 FLUS 模型,建立了 GeoSOS-FLUS…”
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