基于机器学习的建筑和网络弹性评估耐风树种生态网络:来自中国东南沿海的案例研究
Yuhan Xu1, Honghui Yang2, Sibo Shi3
1College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350100, Fujian Province, China.
Journal of environmental management
|March 15, 2026
概括
这项研究在沿海城市建立了耐风树种生态网络 (WRTSEN),发现针对性地保护关键息地对于城市抵御台风至关重要.
科学领域:
- 城市生态城市生态学
- 保护生物学 保护生物学
- 抗灾能力 抗灾能力 抗灾能力
背景情况:
- 对于抗风树木的城市生态网络的研究有限,特别是在易受台风袭击的沿海城市.
- 耐风树种生态网络 (WRTSEN) 对城市抗灾能力和生态系统稳定性至关重要.
研究的目的:
- 构建和评估 WRTSEN 在门-州-广州 (XZQ) 地区的弹性.
- 为了确定主要的息地和生态走廊,以对抗风的树种.
- 为城市规划提供信息,以提高抗灾能力.
主要方法:
- 适合息地适宜性评估的MaxEnt模型.
- XGBoost算法用于生态阻力表面生成.
- 电路理论和复杂网络分析用于WRTSEN的构建和弹性评估.
主要成果:
- 确定了87个息地 (10.13%的面积),集中在东部/南部的XZQ;中部/西部地区显示碎片化.
- XGBoost生成的电阻表面显示了高精度.
- 生态走廊显示空间异质性;中部/北部张州的初级走廊,密集的二级走廊,稀疏的沿海城市连接.
- 网络弹性分析表明,有针对性的攻击比随机攻击更快地降低了结构/功能.
结论:
- 优先考虑自然保护区,水系统和耐风物种的沿海息地对于城市规划至关重要.
- 将机器学习与生态网络建设相结合,为优化区域生态系统功能提供数据.
- 这些发现支持在面临台风风险的沿海地区的可持续发展战略.
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