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生态学杂志 ›› 2021, Vol. 40 ›› Issue (11): 3472-3482.doi: 10.13292/j.1000-4890.202111.021

• 生态屏障格局优化专栏 • 上一篇    下一篇

东北森林带生态脆弱性时空变化及其驱动因素

朱琪1,2,王亚楠1,2,周旺明1,周莉1,于大炮1,齐麟1,3*   

  1. (1中国科学院沈阳应用生态研究所森林生态与管理重点实验室, 沈阳 110016; 2中国科学院大学, 北京 100049;  3沈阳大学生物入侵研究中心, 沈阳 110044)
  • 出版日期:2021-11-10 发布日期:2022-05-10

Spatiotemporal changes and driving factors of ecological vulnerability in Northeast China forest belt.

ZHU Qi1,2, Wang Ya-nan1,2, ZHOU Wang-ming1, ZHOU Li1, YU Da-pao1, Qi Lin1,3*   

  1. (1Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2University of Chinese Academy of Sciences, Beijing 100049, China; 3Biological Invasion Research Center, Shenyang University, Shenyang 110044, China).
  • Online:2021-11-10 Published:2022-05-10

摘要: 评估大尺度森林生态系统的脆弱状况对于维持区域生态安全及保证人类可持续发展具有重要意义。本研究以东北森林带为对象,从自然和人为干扰两个角度出发选择13个指标构建生态脆弱性指标体系,结合空间主成分分析法评估2005年和2015年两个时期生态脆弱性时空分布及其变化,并分析其背后的主要驱动因素。结果表明:东北森林带生态脆弱性等级以潜在脆弱性、微度脆弱性和轻度脆弱性为主;生态脆弱性空间聚集效应明显,脆弱性空间聚集以高高聚集为主,主要分布于东北森林带边界区域;2005年和2015年区域生态脆弱性指数分别为2.339和2.450。生态脆弱状况呈现略微下降的趋势;两个时期东北森林带生态脆弱性主要驱动因子依次为净第一性生产力、土地利用类型和生境质量。本研究为大尺度的森林生态系统保护及治理提供一定的理论基础和决策依据。

关键词: 生态屏障, 生态脆弱性, 空间主成分, 地理探测器

Abstract: Assessing the vulnerability of large-scale forest ecosystems is of great significance for maintaining regional ecological security and ensuring sustainable development of our society. In this study, we selected 13 indicators to construct the ecological vulnerability index system of Northeast China forest belt from the perspective of natural and anthropogenic disturbances. Combined with the spatial principal component analysis, we evaluated the spatial and temporal distribution and changes of ecological vulnerability in the forest belt in 2005 and 2015, and analyzed the main driving factors. The results showed that the ecological vulnerability of the forest belt was mainly potential vulnerability, slight vulnerability, and light vulnerability, with the ecological vulnerability at low level. The spatial aggregation effect of ecological vulnerability was strong and mainly comprised of high-high aggregation. Area with high-high aggregation was mainly distributed near the border of the forest belt. The regional ecological vulnerability index in 2005 and 2015 was 2.339 and 2.450, respectively, showing a slightly worse trend. The main driving factors of ecological vulnerability of the forest belt in the two periods were net primary productivity, land use type, and habitat quality. Our results provide a theoretical basis and decisionmaking basis for large-scale forest ecosystem protection and management.

Key words: ecological barrier, ecological vulnerability, spatial principal component, geodetector.