Li Sheng, Li Tao, Peng Zhong-Hua, Huang Zong-Sheng, Qi Zeng-Xiang
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China.
School of Architecture, University of South China, Hengyang 421001, Hunan, China.
Ying Yong Sheng Tai Xue Bao. 2020 Aug;31(8):2687-2698. doi: 10.13287/j.1001-9332.202008.012.
Green space ecological network is important for improving the fragmentation of regional ecological space, biodiversity loss, imbalance of supply and demand in ecosystem services, and ensuring regional ecology. With Dongting Lake region as an example, the ecological sources were evaluated and identified, and basic ecological resistance of grid element was calculated from the perspectives of comprehensive ecosystem service function evaluation, potential biodiversity comprehensive index evaluation and morphological spatial pattern analysis with the support of 3S technology. We corrected the basic ecological resistance by night light index, used the minimum cumulative resistance model to identify ecological corridors, and constructed a weighted evaluation model, eva-luated the degree of aggregation and dispersion of the sources, as well as the contribution of ecological connection of the corridors. Furthermore, we compared and evaluated the structural characteristic index of the integrated networks, the potential "source sink" networks and the planning networks. The results showed that the spatial distribution of the sources was uneven, with forest land, shrubland and wetland acounting for 95.9% of the total area. The Dongting Lake wetland located in the middle of the region was at high ecological risk. The closer the source was to the center of the ecological network system and the smaller the average minimum cumulative resistance was to other sources, the stronger the advantages of aggregation and dispersion. The denser the distribution of medium and high ecological quality sources was around the high ecological quality sources, the higher the aggregation and dispersion. The closer the corridor was to the high ecological quality sources, the greater contribution of ecological connection. Forest land, shrubland, especially river played an important role in connecting natural ecosystem and human social system. The "source-sink" planning greenways formed a supplement to the "source-sink" potential ecological corridors. Compared with the "source-sink" potential network, the α, β, γ and ρ index of the integrated network was increased by 123.1%, 25.8%, 26.2% and 74.6% respectively. Compared with the "source-sink" planning network, the α, β, γ and ρ index was increased by 190.0%, 31.1%, 32.5% and 114.6% respectively. The results could provide reference for the construction of green space ecological network and planning of land use in Dongting Lake region.
绿地生态网络对于改善区域生态空间破碎化、生物多样性丧失、生态系统服务供需失衡以及保障区域生态具有重要意义。以洞庭湖地区为例，在3S技术支持下，从综合生态系统服务功能评价、潜在生物多样性综合指数评价和形态空间格局分析等角度，对生态源进行评估与识别，并计算网格单元的基础生态阻力。利用夜光指数对基础生态阻力进行修正，运用最小累积阻力模型识别生态廊道，构建加权评价模型，评估源的聚集与离散程度以及廊道生态连接贡献度。此外，对整合网络、潜在“源 - 汇”网络和规划网络的结构特征指数进行比较与评价。结果表明，源的空间分布不均衡，林地、灌木林地和湿地占总面积的95.9%。位于区域中部的洞庭湖湿地生态风险高。源距离生态网络系统中心越近，对其他源的平均最小累积阻力越小，其聚集与离散优势越强。高生态质量源周围中高生态质量源分布越密集，聚集与离散程度越高。廊道距离高生态质量源越近，生态连接贡献越大。林地、灌木林地尤其是河流在连接自然生态系统和人类社会系统中发挥重要作用。“源 - 汇”规划绿道对“源 - 汇”潜在生态廊道形成补充。与“源 - 汇”潜在网络相比，整合网络的α、β、γ和ρ指数分别提高了123.1%、25.8%、26.2%和74.6%。与“源 - 汇”规划网络相比，α、β、γ和ρ指数分别提高了190.0%、31.1%、32.5%和114.6%。研究结果可为洞庭湖地区绿地生态网络构建和土地利用规划提供参考。
