基于多源数据的台风侵扰下海岸带人工林抗风性与树木表型变化的定量分析
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1.上海应用技术大学;2.上海市园林科学规划研究院;3.华东师范大学生态与环境科学学院;4.景遥(上海)信息技术有限公司

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上海市“科技创新行动计划”社会发展科技攻关项目“超大城市上海公园城市构建关键技术研究与示范”(编号:23DZ1204400)、“陆海梯度空间联动特征识别与复合生态功能分析”(编号:22dz1202605)


Quantitative Analysis of Wind Resistance and Phenotypic Changes of Trees in Coastal Plantations Under Typhoon Disturbance Based on Multi-source Data
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Affiliation:

1.Shanghai Institute of Technology;2.Shanghai Academy of Landscape Architecture Science and Planning;3.School of Ecological and Environmental Sciences,East China Normal University;4.Jingyao (Shanghai) Information Technology Co., Ltd.

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    摘要:

    在全球变暖与极端台风增多的背景下,沿海防护林的抗风性评估与结构优化亟须可靠数据支撑。以上海浦东临港为例,以2024年台风“贝碧嘉”为研究对象,结合两期卫星影像计算归一化植被指数变化,并用手持激光雷达在4个20 m×20 m样方记录台风前后树高、冠幅、冠体积与倾斜角的变化,直接量化林木受损与恢复能力。结果显示:(1)台风过后区域绿度普遍下降,距台风路径约5~10 km的区段受损最重。(2)个体尺度呈两类典型响应路径,一是阔叶大冠型朴树(Celtis sinensis)和重阳木(Bischofia polycarpa),朴树树高中位数-1.20 m、CA中位数-4.45 m2、Cv中位数-27.35 m3,重阳木树高中位数-0.70 m、Cv离散度大,均以冠层/树高下降为主;二是针叶圆锥型,水杉(Metasequoia glyptostroboides)和落羽杉(Taxodium distichum),水杉树高中位数0.00 m、落羽杉+0.05 m,CA与Cv小幅增加,但倾斜角增幅更明显,表现为整体位移。基于以上发现,建议在海岸带防护林中提高耐风、耐盐树种比例(如水杉、落羽杉等),前缘配置常绿灌丛分担风力,中带采用针阔混交,腹地布置稳固阔叶树,并通过错列种植与合理密度,降低“整面受风”的位移风险。建立“卫星对比+样地复测”的常态化评估流程,用于快速判定受损等级和修复顺序,可支撑超大城市海岸带防护林的规划、运维与灾后修复。

    Abstract:

    Under the background of global warming and the increase of extreme typhoons, the wind resistance assessment and structural optimization of coastal shelter forests urgently need reliable data support. In this paper, Shanghai Pudong Lingang New Town is taken as an example, focusing on the 2024 Typhoon “Bebecca”. By combining two phases of satellite imagery to calculate NDVI changes, and using handheld LiDAR to record changes in tree height, crown width, crown volume, and tilt angle before and after the typhoon in four 20 m×20 m plots, this study directly quantifies forest damage and recovery capacity. The results showed that after the typhoon, the regional greenness generally decreased, and the section about 5~10 km away from the typhoon path was the most severely damaged; at the individual scale, there were two typical response paths: (1) Broad-leaved large-crown type Hackberry (Celtis sinensis) and Chinese Polygonum multiflorum(Bischofia polycarpa): the high median of Hackberry trees was ?1.20 m, the median CA was ?4.45 m2, and the median Cv was ?27.35 m3, while the high median of Chinese Polygonum multiflorum trees was ?0.70 m, with a large dispersion of Cv, both of which were mainly characterized by a decrease in canopy/tree height; (2) Coniferous conical type Metasequoia(Metasequoia glyptostroboides) and Taxodium truncatum(Taxodium distichum): the high median of Metasequoia trees was 0.00 m, and that of Taxodium truncatum was +0.05 m, with a slight increase in CA and Cv, but a more significant increase in the tilt angle, which was manifested as an overall displacement. Based on these findings, it is recommended that the proportion of wind- and salt-tolerant tree species (such as Metasequoia and Baldcypress) in coastal shelterbelts be increased. Evergreen shrubs should be deployed along the leading edge to share wind loads, mixed coniferous and broad-leaved trees should be used in the middle belt, and sturdy broadleaf trees should be planted in the hinterland. Staggered planting and appropriate density should be used to reduce the risk of displacement caused by wind damage to the entire area. Establishing a regularized assessment process combining satellite comparison and re-survey of sample sites to rapidly determine the level of damage and the order of restoration can support the planning, operation, maintenance, and post-disaster restoration of coastal shelterbelts in megacities.

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  • 收稿日期:2025-07-16
  • 最后修改日期:2026-02-06
  • 录用日期:2025-10-11
  • 在线发布日期: 2026-04-27
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