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应用生态学报 ›› 2026, Vol. 37 ›› Issue (5): 1549-1558.doi: 10.13287/j.1001-9332.202605.025

• 研究论文 • 上一篇    下一篇

热害下福建省福鼎市茶园碳汇损失风险区划

毛颖1,2, 李丽纯2,3*, 张玉琴4, 翁升恒4, 潘卫华4   

  1. 1福建省气象灾害防御技术中心, 福州 350008;
    2福建省气候中心, 福州 350008;
    3武夷山国家气候观象台, 福建武夷山 354300;
    4福建省气象科学研究所, 福州 350008
  • 收稿日期:2025-11-25 接受日期:2026-03-23 出版日期:2026-05-18 发布日期:2026-11-18
  • 通讯作者: * E-mail: 282452503@qq.com
  • 作者简介:毛 颖, 女, 1994年生, 硕士。主要从事应用生态学、气象遥感研究。E-mail: y__mao@163.com
  • 基金资助:
    福建省引导性科技计划项目(2023N0029)、福建省气象局青年科技专项(2024Q08)、福建省气象局温室气体与碳中和监测评估研究与技术研发创新团队、福建省青年科技人员育成项目(2025350704)和厦门市科技局指导性专项(3502Z20214ZD4006)

Risk division of carbon sink losses of tea plantation under heat damage in Fuding City, Fujian Province.

MAO Ying1,2, LI Lichun2,3*, ZHANG Yuqin4, WENG Shengheng4, PAN Weihua4   

  1. 1Fujian Meteorological Disa-ster Prevention Technology Center, Fuzhou 350008, China;
    2Fujian Climate Center, Fuzhou 350008, China;
    3Wuyishan National Climatological Observatory, Wuyishan 354300, Fujian, China;
    4Fujian Institute of Meteorological Science, Fuzhou 350008, China
  • Received:2025-11-25 Accepted:2026-03-23 Online:2026-05-18 Published:2026-11-18

摘要: 开展茶园生态系统热害下的碳汇损失风险区划对于区域碳平衡和茶产业可持续发展具有重要意义。本研究以位于福建省福鼎市的茶园为例,基于GF-7卫星影像提取茶园分布信息,并结合碳汇、气温、高程和社会经济数据,获取涵盖孕灾环境暴露性、碳汇脆弱性、致灾因子危险性和防灾减灾能力的风险指标体系,通过熵权法、层次分析法和加权综合评价法构建热害风险评估模型,对热害下的茶园碳汇损失风险进行精细区划。结果表明:基于GF-7卫星提取的福鼎茶园分布信息精度较高,其生产者精度和用户精度分别为76.4%和78.6%,且茶园面积遥感反演值与统计年鉴记录值的拟合程度达到显著水平(R2=0.89);热害风险评估模型中,致灾因子危险性的权重值最大(0.62),孕灾环境暴露性(0.21)和碳汇脆弱性(0.16)次之,防灾减灾能力权重值最小(0.01);致灾因子危险性达到重度及以上的区域集中于研究区中部、北部、东南部和南部部分地区,孕灾环境暴露性达到重度及以上的区域多位于研究区中部、东南部、东部和北部部分地区,碳汇脆弱性达到重度及以上和具有强、极强防灾减灾能力的区域多分布于中部和东南部;热害下,低、中、高和极高等级的茶园碳汇损失风险区域面积分别占全市茶园总面积的18.4%、27.0%、29.8%和24.8%,其中,低、中风险区主要分布在东部沿海和内陆海拔较高区域,高、极高风险区多位于内陆低海拔地带。研究结果可助力相关部门精准识别不同茶园区碳汇损失潜在风险,并为其碳汇管理提供科学依据。

关键词: 热害, 碳汇损失, 福鼎茶园, GF-7卫星, 风险评估, 精细区划

Abstract: Carrying out risk division of carbon sink losses caused by heat damage in tea plantation is of great signi-ficance for regional carbon balance and the sustainable development of tea industry. With tea plantations in Fuding City of Fujian Province as an example, we retrieved distribution information of tea plantations based on GF-7 sate-llite images, and integrated carbon sink data, temperature, elevation, and socioeconomic data to build a risk indicator system. The system covered the exposure of the disaster environment, the vulnerability of carbon sink, the risk of the disaster factor, and the disaster prevention and mitigation ability. By combining the entropy weight method, the analytic hierarchy process method and the comprehensive weighted method, we constructed a heat damage risk assessment model to achieve a refined division of carbon sink loss risk for tea plantation under heat damage. The results showed that the accuracy of tea plantation distribution information extracted from GF-7 satellite images was relatively high, with a producer’s accuracy of 76.4% and a user’s accuracy of 78.6%. The fitting degree between the remote sensing estimated tea plantation area and the records of statistical yearbook reached a significant level (R2=0.89). In the heat damage risk assessment model, the risk of the disaster factor had the maximum weight value (0.62), followed by the exposure of the disaster environment (0.21) and the vulnerability of carbon sink (0.16), while the disaster prevention and mitigation ability had the minimum weight value (0.01). Areas where the risk disaster factor reached severe level and above mainly distributed in the central, northern, southeastern and some southern parts of the study area. Those of exposure of the disaster environment were mainly located in the central, southeastern, eastern and some northern parts, and those of the vulnerability of carbon sink and extremely strong disaster prevention and mitigation ability were mainly in the central and southeastern regions. The risk area of carbon sink losses for tea plantation under heat damage could be divided into four levels, with low, moderate, high, and extremely high accounting for 18.4%, 27.0%, 29.8%, and 24.8% of the total tea plantation area, respectively. The areas with low and moderate risks were mainly distributed in the eastern coastal and high-altitude inland regions, while areas with high and extremely high risks were mostly located in low-altitude inland regions. The study could help relevant departments accurately identify the potential risks of carbon sink losses and thus provide a scientific basis for carbon sink management in tea plantations.

Key words: heat damage, carbon sink loss, the tea plantation in Fuding City, GF-7 satellite, risk assessment, refined division