College of Forestry and Landscape Architecture, South China Agricultural University, Guangdong 510642, China.
Guangdong Lingnanyuan Survey and Design Co., Ltd., Guangzhou 510000, China.
Ying Yong Sheng Tai Xue Bao. 2023 Sep;34(9):2481-2488. doi: 10.13287/j.1001-9332.202309.025.
The evaluation and optimization of landscape ecological pattern has important implications for the accurate improvement of forest quality and high-quality urban development in the Pearl River Delta urban agglomeration. Based on the "one map" data and digital elevation model data of forest resource management in 2021, we evaluated and optimized landscape ecological pattern of the Pearl River Delta urban agglomeration by morphological spatial pattern analysis and minimum cumulative resistance model. The results showed that there were 435861 patches in the Pearl River Delta urban agglomeration that could be used as ecological source area, covering an area of 7346.60 km and accounting for 13.4% of the Pearl River Delta area. Thirty patches were selected as the ecological source area of the study area by using the area and patch importance index, covering an area of 2792.59 km and accounting for 5.1% of the Pearl River Delta area. The overall natural environment of the Pearl River Delta urban agglomeration was excellent. The ecological resistance level was small. The peripheral ecological resistance was low. The core ecological resistance was high. There was still a large room for adjustment of stand types and landscape patterns, which should be optimized by adjusting the composition and spatial distribution of tree species. The ecological network of the Pearl River Delta urban agglomeration was optimized with 30 ecological sources, 103 key ecological corridors, and 95 ecological nodes. The improvement rates of the optimized probability of connectivity index and integral index of connectivity index were 297.5% and 695.1%, respectively. The optimization results could effectively connect the ecological sources and spread the ecological service functions of ecological sources.
珠江三角洲城市群景观生态格局的评价与优化对准确提高森林质量和促进高质量城市发展具有重要意义。本研究基于 2021 年森林资源管理“一张图”数据和数字高程模型数据，采用形态空间格局分析和最小累积阻力模型，对珠江三角洲城市群景观生态格局进行评价与优化。结果表明，珠江三角洲城市群可作为生态源地的斑块有 435861 个，面积为 7346.60km，占珠江三角洲城市群的 13.4%；采用面积和斑块重要性指数选取了 30 个斑块作为研究区的生态源地，面积为 2792.59km，占珠江三角洲城市群的 5.1%。珠江三角洲城市群整体自然环境优良，生态阻力水平较小，外围生态阻力较低，核心生态阻力较高，林分类型和景观格局仍有较大的调整空间，应通过调整树种组成和空间分布来进行优化。通过 30 个生态源地、103 条关键生态廊道和 95 个生态节点对珠江三角洲城市群生态网络进行优化，优化后连通概率指数和连通综合指数的提升率分别为 297.5%和 695.1%。优化结果能有效连接生态源地，拓展生态源地的生态服务功能。
