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河口湿地表面温度扰动特征及其关键影响因素

郑慧祯1,陈燕红2,3,潘文斌1,郑鹏1,蔡芫镔1*   

  1. 1福州大学环境与资源学院, 福州 350116;2福州大学至诚学院, 福州 350002;3福建师范大学地理科学学院, 福州 350007)
  • 出版日期:2018-08-10 发布日期:2018-08-10

Land surface temperature fluctuation characteristics and key influencing factors in estuarine wetland.

ZHENG Hui-zhen1, CHEN Yan-hong2,3, PAN Wen-bin1, ZHENG Peng1, CAI Yuan-bin1*   

  1. (1College of Environment and Resources, Fuzhou University, Fuzhou 350116, China; 2Fuzhou University Zhicheng College, Fuzhou 350002, China; 3College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China).
  • Online:2018-08-10 Published:2018-08-10

摘要: 选取闽江河口为研究区域,通过对湿地表面温度(LST)的遥感反演,并利用剖面分析和模型构建方法分析了城市化进程中河口湿地表面温度的扰动特征。结果表明:(1)1993—2016年,闽江河口地区的土地利用/覆盖发生显著变化,湿地面积从37.00 km2减少到29.15 km2,水域、林/草地、耕地面积减少,建设用地面积大幅度增加;(2)不同土地利用类型的地表温度具有显著差异,建设用地和裸地对研究区的地表增温有显著的正贡献,水域、林/草地和湿地表现为负贡献;随着湿地面积的逐步减少,湿地表面温度扰动上升,湿地降温效果减弱;(3)城市的开发建设使得大面积的天然湿地转变为建设用地,对湿地表面温度的扰动产生巨大影响;(4)湿地表面温度与归一化植被指数(NDVI)、归一化水汽指数(NDMI)呈显著负相关,与归一化不透水面指数(NDISI)呈显著正相关;(5)NDMI和NDISI对地表温度(LST)的影响相对较强,NDVI对LST的影响相对较弱。研究结果可为河口地区的湿地保育提供有益借鉴。

关键词: 气候变化, 土壤温度, 土壤微生物群落, 磷脂脂肪酸, 土壤湿度

Abstract: We analyzed land surface temperature (LST) fluctuation characteristics in urbanization based on retrieval of LST, profile analysis and model construction in the wetland distribution area of Minjiang River. The results showed that: (1) Dramatic changes in land use/land cover had occurred from 1993 to 2016 in this area. The area of water, forest, grassland, cropland, and wetland decreased, while the built-up land increased. Especially, the area of wetland decreased from 37.00 km2 to 29.15 km2. (2) The LST varied with different land use types. For instance, builtup land and bare land had positive contribution on LST rise, while waters, forest, grassland, and wetland had opposite effects. The LST increased during wetland deterioration, which had a negative impact on cooling effect. (3) The urban expansion transformed wetland to builtup land, which played a key role in the fluctuation of LST. (4) There was a negative correlationbetween LST and normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI), and a positive correlation between LST and normalized difference impervious surface index (NDISI). (5) The NDMI and NDISI played a greater role in LST than did NDVI. The results would be helpful in estuarine wetland conservation in the future.

Key words: soil microbial community, soil moisture, phospholipid fatty acids, soil temperature, climate change