Land degradation presents significant global challenges, threatening natural resources, biodiversity, and food security. Addressing this issue requires more effective land-take decision-making processes, particularly in data-deficient cities where comprehensive land assessment methods are challenging to implement. This study introduces a streamlined land-take decision-making framework designed to promote sustainable land management practices. The framework consists of two key components: the Sustainable Development Index (SDI) for assessing current land-take decisions and the Decision-Making Rubric (DMR) for proposing mitigated solutions. Applied to a pilot case city in India, the framework demonstrated its practical utility by showing that land-take decisions between 2001 and 2021 resulted in a 69 % reduction of natural land cover. If these trends continue, the assessment of the 2031 master plan using SDI indicates that an additional 56 % of the remaining ecosystem-rich areas, which include regions with high biodiversity and ecological value, could be lost by 2031. However, the framework's application could potentially mitigate these impacts, reducing the projected 56 % loss to 14 %, thereby promoting more sustainable and equitable land management practices. The study's aim is to provide decision-makers with a practical tool to improve land identification methods and enhance the sustainability of land-take decisions. This research contributes to the existing body of knowledge by addressing the gap in practical, easily applicable tools for sustainable land management in data-deficient urban contexts.

中文翻译：

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促进可持续土地管理：土地征用决策的创新方法


土地退化带来了重大的全球挑战，威胁着自然资源、生物多样性和粮食安全。解决这个问题需要更有效的土地征用决策过程，尤其是在数据不足的城市，因为全面的土地评估方法难以实施。本研究引入了一个简化的土地征收决策框架，旨在促进可持续的土地管理实践。该框架由两个关键组成部分组成：用于评估当前土地征用决策的可持续发展指数 （SDI） 和用于提出缓解解决方案的决策标准 （DMR）。该框架应用于印度的一个试点城市，通过表明 2001 年至 2021 年间的土地征用决策导致自然土地覆盖减少 69%，证明了其实际效用。如果这些趋势继续下去，使用 SDI 对 2031 年总体规划的评估表明，到 2031 年，剩余的生态系统丰富区域（包括具有高生物多样性和生态价值的地区）可能会再消失 56%。然而，该框架的应用可能会减轻这些影响，将预计的 56% 损失减少到 14%，从而促进更可持续和公平的土地管理实践。该研究的目的是为决策者提供一种实用工具，以改进土地识别方法并提高土地征用决策的可持续性。这项研究通过解决在数据匮乏的城市环境中可持续土地管理的实用、易于应用的工具方面的差距，为现有的知识体系做出了贡献。