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应用生态学报 ›› 2026, Vol. 37 ›› Issue (8): 2719-2730.doi: 10.13287/j.1001-9332.202608.026

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秦巴山区植被总初级生产力季节变化特征及驱动机制

刘宸呈1,2, 刚成诚1,2, 苗愉祺3, 王得祥4, 曹扬4*   

  1. 1西北农林科技大学水土保持科学与工程学院, 陕西杨凌 712100;
    2中国科学院水利部水土保持研究所, 陕西杨凌 712100;
    3西北农林科技大学草业与草原学院, 陕西杨凌 712100;
    4西北农林科技大学林学院, 陕西杨凌 712100
  • 收稿日期:2026-03-26 修回日期:2026-07-01 出版日期:2026-08-18 发布日期:2027-02-18
  • 通讯作者: *E-mail: yang.cao@nwsuaf.edu.cn
  • 作者简介:刘宸呈, 男, 2003年生, 硕士研究生。主要从事生态系统遥感研究。E-mail: liuchencheng@nwafu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2024YFF1306504)

Seasonal dynamics of gross primary productivity and the underlying mechanism in the Qinling-Daba Mountains

LIU Chencheng1,2, GANG Chengcheng1,2, MIAO Yuqi3, WANG Dexiang4, CAO Yang4*   

  1. 1College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China;
    2Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China;
    3College of Grassland Agriculture, Northwest A&F University, Yangling 712100, Shaanxi, China;
    4College of Forestry, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Received:2026-03-26 Revised:2026-07-01 Online:2026-08-18 Published:2027-02-18

摘要: 植被总初级生产力(GPP)的季节变化特征及其对气候和植被结构因子的响应机制,是评估区域生态系统碳汇功能的关键科学问题。本研究基于2003—2020年MODIS GPP、叶面积指数(LAI)及气象数据等,综合运用趋势分析、偏相关分析及多元线性回归等方法,从季节尺度分析了秦巴山区春季、夏季和秋季植被GPP时空变化特征,并探讨植被结构与气候因子的协同驱动机制。结果表明:2003—2020年间,秦巴山区春季、夏季和秋季GPP均呈显著上升趋势,增幅表现为夏季>春季>秋季,显著上升区域面积占比分别为82.9%、64.1%和20.6%;LAI在3个季节均显著上升,增长区域面积占比超过86.9%;春季,降水整体呈波动上升趋势,饱和水汽压差(VPD)呈下降趋势,而温度变化相对平稳;夏季,降水和VPD总体呈下降趋势,最高温度呈显著上升趋势,区域气候呈现一定暖干化特征;秋季,降水略有增加,温度和VPD变化相对平稳。气候因子对GPP影响的时间效应具有显著季节差异,其中,春季,降水以滞后效应为主,温度以同期效应为主,VPD以累积效应为主,夏季,各因子主要表现为同期效应,秋季,降水、最高温度和VPD以同期效应主导,最低温度以累积效应为主。LAI是季节尺度GPP上升的首要正向驱动因子;温度因子的影响以促进为主;降水量在春季和秋季表现为抑制作用,在夏季表现为促进作用;VPD在春夏季表现为抑制作用,在秋季表现为微弱的促进作用。本研究从季节尺度揭示了植被冠层结构改善对秦巴山区GPP提升的主导驱动机制,为区域生态系统碳汇功能评估提供了重要科学依据。

关键词: 秦巴山区, 总初级生产力, 叶面积指数, 季节分异, 驱动机制

Abstract: The seasonal variation characteristics of vegetation gross primary productivity (GPP) and its response mechanisms to climatic and vegetation structural factors represent a key scientific issue for assessing regional carbon sink functions. Based on MODIS GPP, leaf area index (LAI), and meteorological data from 2003 to 2020, we comprehensively employed trend analysis, partial correlation analysis, and multiple linear regression to investigate the spatiotemporal variations of GPP in spring, summer, and autumn at the seasonal scale in the Qinling-Daba Mountains. We further explored the synergistic driving mechanisms of vegetation structure and climatic factors. The results showed that, from 2003 to 2020, GPP in spring, summer, and autumn all exhibited significant increasing trends, with the magnitude ranked as summer > spring > autumn, and the proportions of areas with significant increasing trends were 82.9%, 64.1%, and 20.6%, respectively. LAI increased significantly in all the three seasons, with the proportion of increasing areas exceeding 86.9%. In spring, precipitation showed an overall fluctuating upward trend, vapor pressure deficit (VPD) displayed a downward trend, while temperature remained relatively stable. In summer, both precipitation and VPD exhibited overall downward trends, while maximum temperature showed a significant upward trend, indicating a certain warming-drying trend in the climate. In autumn, precipita-tion increased slightly, while temperature and VPD remained relatively stable. Regarding the temporal effects of climatic factors, there were significant seasonal differences. In spring, precipitation was mainly characterized by lag effects, temperature by synchronous effects, and VPD by cumulative effects. In summer, all climatic factors were mainly characterized by synchronous effects. In autumn, precipitation, maximum temperature, and VPD were domi-nated by synchronous effects, while minimum temperature was mainly controlled by cumulative effects. LAI was the primary positive driving factor for the seasonal-scale increase in GPP. Temperature factors predominantly exerted promoting effects. Precipitation showed inhibiting effects in spring and autumn but promoting effects in summer. VPD exhibited inhibiting effects in both spring and summer, but a weak promoting effect in autumn. At the seasonal scale, we revealed the dominant driving mechanism of improved vegetation canopy structure on GPP enhancement in the Qinling-Daba Mountains, providing scientific basis for evaluating the carbon sink function of regional ecosystems.

Key words: Qinling-Daba Mountains, gross primary productivity, leaf area index, seasonal differentiation, driving mechanism