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生态学杂志 ›› 2020, Vol. 39 ›› Issue (11): 3722-3737.doi: 10.13292/j.1000-4890.202011.003

• 研究报告 • 上一篇    下一篇

深圳市陆域野生保护动植物热点分布区辨识及保护对策

董笑语,黄涛,潘雪莲,孙芳芳*   

  1. (深圳市环境科学研究院, 广东深圳 518001)
  • 出版日期:2020-11-11 发布日期:2021-05-10

Identification and protection measures for the distribution hotspots of protected wildlife in Shenzhen.

DONG Xiao-yu, HUANG Tao, PAN Xue-lian, SUN Fang-fang*#br#   

  1. (Shenzhen Academy of Environmental Sciences, Shenzhen 518001, Guangdong, China).
  • Online:2020-11-11 Published:2021-05-10

摘要: 随着城市化进程的快速推进,城市生物多样性遭受严重威胁。为有效开展城市生物多样性保护工作,辨识重要物种在城市中的热点分布区是首要任务。本文以高密度超大城市深圳市为例,运用最大熵模型辨识野生保护动植物的热点分布区,运用刀切法检验及绘制单一环境因子响应曲线分析城市野生保护物种分布与环境因子的关系,探讨城市野生保护物种的退化机制;采用ArcGIS将热点区与现有自然保护地叠加,分析当前生物多样性保护措施的有效性;并提出城市野生保护动植物的保护对策。结果显示,热点分布区面积占全市陆域面积的12.43%,分布在远离建成区的山地区域,与现有自然保护地重叠度较高。刀切法检验表明,影响野生保护动植物分布的主要环境因子是土地覆盖类型、到建成区距离、植被类型、最热月最高温度和平均气温日较差。因此,在城市中,可以通过维持热点分布区生境、恢复潜在分布区生境、构建多层次的生态空间管理体系来保护城市生物多样性。

关键词: 城市生物多样性, 野生动植物, 最大熵模型

Abstract: Urban biodiversity has been seriously threatened by rapid urbanization. Distribution hotspots of important species in cities should be identified firstly to effectively protect urban biodiversity. We explored the degradation mechanism of urban protected wildlife in Shenzhen, a densely populated megacity. We used maximum entropy model (MaxEnt) to identify the distribution hotspots of protected wildlife, and analyzed the relationships between wildlife distribution and environmental factors by Jackknife test and response curves created by single corresponding variables. The distribution hotspots were overlaid with the protected area using ArcGIS to analyze the effectiveness of current biodiversity conservation measures. Based on all the analyses, we put forward the protection measures of urban protected wildlife. The results showed that the distribution hotspots accounted for 12.43% of total land area, mainly on the hilltop far from the built-up area, coincided with the native habitats of different wildlife, and being strongly overlapped with protected area. The results of Jackknife test showed that the dominant factors affecting wildlife distribution are land cover type, distance to city, vegetation type, maximum temperature of the warmest month, and diurnal difference of mean temperature. We suggest that urban biodiversity could be protected by maintaining the habitats of wildlife hotspots, restoring the habitats of potential distribution area, and constructing multi-level ecological space management system.

Key words: urban biodiversity, wild plants and animals, maximum entropy model (MaxEnt).