中国农业气象 ›› 2024, Vol. 45 ›› Issue (05): 493-505.doi: 10.3969/j.issn.1000-6362.2024.05.005

• 农业生物气象栏目 • 上一篇    下一篇

三峡库区陆地生态系统净初级生产力时空演变及其影响因素

范莉,叶钊,祝好,张继,朱玉涵   

  1. 1.中国气象局气候资源经济转化重点开放实验室/重庆市气象科学研究所/重庆市农业气象与卫星遥感工程技术研究中心,重庆 401147;2.重庆市气象学会,重庆 401147
  • 收稿日期:2023-09-28 出版日期:2024-05-20 发布日期:2024-05-09
  • 作者简介:范莉,E-mail:fanli_0223@163.com
  • 基金资助:
    重庆市自然科学基金面上项目(CSTB2022NSCQ−MSX0588);重庆市气象部门业务技术攻关项目 (YWJSGG−202211);重庆市气象部门智慧气象技术创新团队项目(ZHCXTD−202022)

Spatio-temporal Variation and its Influence Factors on Net Primary Productivity of Terrestrial Ecosystems in the Three Gorges Reservoir Area

FAN Li, YE Zhao, ZHU Hao, ZHANG Ji, ZHU Yu-han   

  1. 1.China Meteorological Administration Key Open Laboratory of Transforming Climate Resources to Economy/Chongqing Institute of Meteorological Sciences/Chongqing Engineering Research Center of Agrometeorology and Satellite Remote Sensing, Chongqing 401147, China;2. Chongqing Meteorological Society,Chongqing 401147
  • Received:2023-09-28 Online:2024-05-20 Published:2024-05-09

摘要: 陆地生态系统碳循环是全球及区域气候变化及人类活动影响研究的重要内容,三峡库区作为长江流域重要的生态环境保护和修复区域,在全球及区域碳循环和气候变化研究中发挥着极其重要的作用。本文基于2000−2021年太阳辐射、气温、CO2浓度及归一化植被指数等数据,依据C-FIX模型,调整参数建立三峡库区(重庆段)陆地生态系统净初级生产力(NPP)估算模型,引入重心模型、趋势分析等方法定量分析2000−2021 年植被NPP时空变化特征,同时利用相关分析方法结合Miami模型定量区分气候变化与人类活动影响NPP的相对作用。结果表明:(1) 研究区植被NPP整体呈波动上升趋势,有94%的区域植被NPP变化趋势率为正值,集中分布于长江沿线及以北的大部地区。2000−2021年区域年平均NPP由666.02gC·m−2增加至809.04gC·m−2,增幅为17.68%。(2)研究区NPP空间分布整体呈现由东北向西南逐渐递减的格局,年平均NPP767.3gC·m−2·a−1,其中NPP>800gC·m−2·a−1的区域占研究区总面积的46%,主要分布在海拔400−900m的区域。(3)研究区植被NPP重心呈现出由西南向东北移动的趋势,说明东北部植被NPP增量和增速高于中西部。(4)研究区植被NPP变化对气温作用更为敏感,植被NPP与年气温的偏相关系数为−0.68~0.94,呈正相关区域占比高达95.6%。植被NPP与年降水量的偏相关系数为−0.83~0.82,呈正相关区域占比75.7%,分布于长江沿线以北的大部地区及武隆和涪陵的大部区域。(5)气候变化和人类活动对研究区植被NPP变化过程的相对作用存在显著的空间异质性,处于植被恢复状态的区域占总面积的93.63%,其中45.24%的区域受气候变化影响,46.72%的植被恢复区由气候变化和人类活动两者共同作用促成。

关键词: C-FIX模型, NPP, 重心模型, 时空变化, 三峡库区, 驱动机制

Abstract: The carbon cycle of terrestrial ecosystems is an important element in the study of global and regional climate change and the impact of human activities. The Three Gorges Reservoir Area, as an important ecological environmental protection and restoration area in the Yangtze river basin, plays an extremely important role in global and regional carbon cycle under climate change. Therefore, based on the data of solar radiation, temperature, CO2 concentration and normalized vegetation index from 2000 to 2021, parameters were adjusted based on the C-FIX model, and a terrestrial ecosystem net primary productivity (NPP) estimation model were established in the Three Gorges Reservoir Area (Chongqing section). Quantitative analysis of the e spatial and temporal characteristics of vegetation NPP from 2000 to 2021 was conducted using the barycenter model and trend analysis methods. The relative roles of climate change and human activities in influencing NPP were quantitatively distinguished using correlation analysis methods combined with the Miami model. The results showed that: (1) NPP in the Three Gorges Reservoir Area showed a fluctuating upward trend from 2000 to 2021, and the regional mean annual NPP increased from 666.02gC·m−2·y−1 to 809.04gC·m−2·y−1 from 2000 to 2021, with an increase of 17.68%. (2) The spatial distribution of NPP in the Three Gorges Reservoir Area gradually decreased from northeast to southwest, with an average annual NPP value of 762.3gC·m−2·y−1, among which the area with NPP >800gC·m−2·y−1 accounted for 46% of the total area of the study area, and was mainly distributed in the area of 400−900m altitude. (3) The NPP center of gravity in the study area showed a trend of moving from southwest to northeast, indicating that the NPP increment and growth rate of vegetation in the northeast part of the study area were higher than that in the central and western part of the study area during this period. (4) The changes of vegetation NPP in the Three Gorges Reservoir Area were more sensitive to the effect of temperature, and the partial correlation coefficients between vegetation NPP and annual temperature range from −0.68 to 0.94, with the proportion of positively correlated areas being as high as 95.6%, and the partial correlation coefficients between vegetation NPP and annual precipitation range from −0.83 to 0.82, with the proportion of positively correlated areas being 75.7%, which were located in the majority of the areas along the north side of the Yangtze River, and the majority of the areas in Wulong and Fuling. (5)There was significant spatial heterogeneity in the relative roles of climate change and human activities on the changes of vegetation NPP in the Three Gorges Reservoir Area, and the areas in the state of vegetation recovery accounted for 93.63% of the total area, of which 45.24% were affected by climate change, and 46.72% of the areas in the state of vegetation recovery were affected by climate change and human activities.

Key words: C-FIX model, NPP, Gravity center model, Spatial and temporal variability, Three Gorges Reservoir Area, Driving mechanism