高级检索

    PLUS-电路耦合拉萨生态网络多情景模拟与精准修复

    Coupling PLUS model with circuit theory for multi-scenario simulation and precision restoration of ecological network in Lhasa

    • 摘要:
      目的 拉萨市作为青藏高原生态屏障的重要组成部分,其生态网络构建对保障区域生态安全与可持续发展具有重要意义。然而,传统单一时空生态网络构建方式难以反映未来土地利用动态变化的影响,导致规划缺乏前瞻性与适应性。本研究旨在通过多情景模拟,系统分析不同土地利用发展路径下生态网络的演变特征,精准识别保护修复重点区域,为提升国土空间综合整治的科学性与精准性提供方法支撑。
      方法 研究耦合PLUS模型、InVEST-MSPA模型与电路理论,构建“情景模拟—要素识别—网络优化—分级管控”的研究框架。首先,运用PLUS模型模拟2030年自然发展、耕地保护、生态优先3种情景的土地利用格局;继而集成InVEST-MSPA模型提取生态源地,基于电路理论构建生态廊道并识别障碍点、夹点等关键节点;最终依据多情景下生态要素的演变差异,分类分级确定生态保护修复的重点区域。该方法的核心在于通过多情景对比揭示土地利用变化对生态网络的差异化影响,并借助电路理论量化连通成本与关键节点,实现生态网络的动态优化与精准调控。
      结果 (1)生态优先导向的国土空间管控策略能够有效改善生态质量与网络结构。2030年自然发展与耕地保护情景下建设用地扩张明显,其余用地变化平缓;生态优先情景下建设用地扩张得到抑制,林地、草地及水域实现小幅度提升,源地数量与面积有所增加,破碎化生境得到有效串联,同时生态廊道总长最短的情况下实现了最优连通性。(2)明确了维系生态网络结构稳定的核心要素。尽管不同土地利用发展情景下生态网络存在局部变动,但关键生态要素的分布趋势以及空间位置高度稳定,凸显了这些区域在维持生态网络功能中的核心地位,应作为长期保护重点。(3)划分了国土空间保护修复重点区域。研究精准识别重点保护修复源地204.47 km2,一级生态廊道50.46 km,重点保护修复节点64.8 km2,这些区域具有高退化风险与高生态价值并存的特征,是当前国土空间保护修复的战略重心。
      结论 该方法优化了生态网络结构,有效识别了各生态要素重点区域,有利于明晰未来国土空间保护修复重点,避免国土空间综合整治过程中出现的对象不明、资源分配不均等问题的产生,研究成果可直接指导拉萨市国土空间综合整治的精准施策,对生态脆弱区的保护修复具有重要示范价值。

       

      Abstract:
      Objective As a key component of the ecological barrier on the Tibetan Plateau, the ecological network of Lhasa is crucial for safeguarding regional ecological security and promoting sustainable development. However, traditional approaches, often based on a static and single-temporal framework, struggle to account for future land-use dynamics, resulting in planning outcomes with limited foresight and adaptability. This study employs multi-scenario simulation to analyze the evolutionary characteristics of the ecological network under various land-use development pathways. It seeks to precisely identify priority areas for conservation and restoration, thereby providing a methodological framework to enhance the scientific rigor and precision of comprehensive territorial space governance.
      Method This research integrates the PLUS model, the InVEST-MSPA model, and circuit theory to establish an analytical framework encompassing “scenario simulation, element identification, network optimization, and hierarchical management.” We first employ the PLUS model to project land use patterns for 2030 under three distinct scenarios: natural development, farmland protection, and ecological priority. Subsequently, ecological sources are extracted using the InVEST-MSPA model, and circuit theory is applied to delineate ecological corridors and identify critical nodes, including barriers and pinch points. In the final phase, priority areas for ecological conservation and restoration are delineated according to the differential evolution of ecological elements across the various scenarios. The core of this methodology lies in revealing the differential impacts of land-use change on the ecological network through multi-scenario comparison and by quantifying connectivity costs and key nodes via circuit theory, thereby facilitating dynamic optimization and targeted regulation of the network.
      Result (1) Territorial spatial control strategies prioritizing ecological conservation effectively enhanced ecological quality and network structure. Under the natural development and farmland protection scenarios for 2030, construction land expanded markedly, with minimal changes in other land types. In contrast, the ecological priority scenario curbed construction land expansion, yielding marginal gains in forest, grassland, and water bodies. This scenario also increased the number and area of ecological sources, effectively integrating fragmented habitats and achieving optimal connectivity with the shortest total ecological corridor length.(2) Core elements underpinning the structural stability of the ecological network were identified. Despite localized variations in the network across different land-use scenarios, the distribution patterns and spatial locations of key ecological elements remained highly stable. This underscores their critical role in maintaining network functionality, warranting their designation as long-term conservation priorities.(3) Priority areas for territorial spatial conservation and restoration were delineated. The study pinpointed 204.47 km2 of source areas, 50.46 km of primary corridors, and 64.8 km2 of key nodes for focused intervention. Characterized by coexisting high degradation risk and high ecological value, these areas constitute the strategic priority for current territorial spatial management.
      Conclusion This method enhances the ecological network structure and enables the effective identification of key areas for various ecological elements. By clarifying conservation and restoration priorities, it helps prevent common issues in comprehensive territorial spatial remediation, such as ambiguous targets and uneven resource allocation. The findings provide direct guidance for formulating targeted land management strategies in Lhasa and offer a valuable model for protecting and restoring other ecologically fragile regions.

       

    /

    返回文章
    返回