中国农业气象 ›› 2025, Vol. 46 ›› Issue (4): 435-445.doi: 10.3969/j.issn.1000-6362.2025.04.001

• 农业气候资源与气候变化栏目 •    下一篇

滨海城市植被碳源/汇时空变化规律及其影响因素

韩宇航,韩震   

  1. 1.上海海洋大学海洋科学与生态环境学院,上海 201306;2.上海河口海洋测绘工程技术研究中心,上海 201306
  • 收稿日期:2024-05-31 出版日期:2025-04-20 发布日期:2025-04-14
  • 作者简介:韩宇航,E-mail:2298933215@qq.com
  • 基金资助:
    教育部产学合作协同育人项目(202102245031)

Spatial and Temporal Variation of Vegetation Carbon Source/Sink in Coastal City and Its Effecting Factors

HAN Yu-hang, HAN Zhen   

  1. 1. College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China; 2. Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306
  • Received:2024-05-31 Online:2025-04-20 Published:2025-04-14

摘要:

基于多源数据采用改进的CASA模型和土壤异养呼吸模型,计算2000−2016年上海净生态系统生产力,用于表征植被的碳汇状况,并使用趋势分析、稳定性分析和偏相关分析方法研究植被碳源/汇的时空动态演变特征及其影响因素。结果表明:(1)2000−2016年上海植被NEP年均值为96.73gC·m−2·a−1,时间变化呈下降趋势,下降幅度为1.87gC·m2·a1P<0.05)。(2)上海植被碳源区面积占24.20%,碳汇区面积占75.80%,植被空间整体表现为碳汇形势。(3)植被NEP平均趋势斜率为−3.63,变异系数为中、高稳定性等级区域面积占比达到76.41%,总体稳定性较高。4)植被NEP与温度呈弱负相关性,与土壤异养呼吸呈显著负相关性,偏相关系数为−0.48,与降水量和太阳辐射呈显著正相关性,偏相关系数分别为0.57和0.43。

关键词: 植被碳源/汇, 净生态系统生产力, 净初级生产力, 滨海城市

Abstract:

Based on multi−source data using the improved CASA model and soil heterotrophic respiration model, the net ecosystem productivity (NEP) of Shanghai in 2000−2016 was calculated to characterize the carbon sink status of vegetation, and the spatial and temporal dynamic evolution characteristics of vegetation carbon source/sink and their influencing factors were investigated using the trend analysis, stability analysis, and partial correlation analysis. The results showed that (1) the annual mean value of NEP for vegetation in the Shanghai region from 2000 to 2016 was 96.73gC·m−2·y−1, with a decreasing trend in temporal variation of 1.87gC·m−2·y−1 (P<0.05). (2) The area of the vegetation carbon source area in Shanghai accounted for 24.20%, and the area of the carbon sink area accounted for 75.80%, and the vegetation space as a whole showed a carbon sink situation. (3) The average slope of the vegetation NEP trend was −3.63, and the coefficient of variation was 76.41% of the area of medium and high stability level, with a high overall stability. (4) Vegetation NEP showed a weak negative correlation with temperature, a significant negative correlation with soil heterotrophic respiration with a partial correlation coefficient of −0.48, and a significant positive correlation with precipitation and solar radiation with partial correlation coefficients of 0.57 and 0.43, respectively.

Key words: Vegetation carbon source/sink, Net ecosystem productivity, Net primary productivity, Coastal city