植物生态学报 ›› 2022, Vol. 46 ›› Issue (12): 1461-1472.DOI: 10.17521/cjpe.2021.0426

所属专题: 光合作用 碳水能量通量

• 中国典型生态脆弱区碳水通量过程研究专题论文 • 上一篇    下一篇

中国干旱半干旱区生态系统光合参数的时空变异及其影响因素

林雍1,2, 陈智1,2,3,*(), 杨萌1,2, 陈世苹2,4, 高艳红5, 刘冉2,6, 郝彦宾2, 辛晓平7, 周莉8, 于贵瑞1,2,3   

  1. 1中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101
    2中国科学院大学资源与环境学院, 北京 100049
    3中国科学院大学燕山地球关键带与地表通量观测研究站, 北京 100049
    4中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
    5中国科学院西北生态环境资源研究院, 兰州 730000
    6中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室, 乌鲁木齐 830011
    7中国农业科学院农业资源与农业区划研究所, 北京 100081
    8中国气象科学研究院, 北京 100081
  • 收稿日期:2021-11-20 接受日期:2022-03-11 出版日期:2022-12-20 发布日期:2023-01-13
  • 通讯作者: *陈智(chenz@igsnrr.ac.cn)
  • 基金资助:
    国家自然科学基金项目(41991234);科技部基础资源调查专项(2019FY101302)

Temporal and spatial variations of ecosystem photosynthetic parameters in arid and semi-arid areas of China and its influencing factors

LIN Yong1,2, CHEN Zhi1,2,3,*(), YANG Meng1,2, CHEN Shi-Ping2,4, GAO Yan-Hong5, LIU Ran2,6, HAO Yan-Bin2, XIN Xiao-Ping7, ZHOU Li8, YU Gui-Rui1,2,3   

  1. 1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 100049, China
    4State Key Laboratory of Vegetation and Environment Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    5Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    6State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi 830011, China
    7Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    8Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • Received:2021-11-20 Accepted:2022-03-11 Online:2022-12-20 Published:2023-01-13
  • Contact: *CHEN Zhi(chenz@igsnrr.ac.cn)
  • Supported by:
    National Natural Science Foundation of China(41991234);Science and Technology Basic Investigation Program of China(2019FY101302)

摘要:

生态系统光合参数是表征生态系统光合作用特征和强度的重要指标, 是生态系统模型模拟与遥感反演中的重要生理参数。该研究基于中国干旱半干旱区的涡度相关碳通量观测数据, 采用直角双曲线方程拟合生态系统表观量子效率(α)和最大光合速率(Pmax), 综合分析了干旱半干旱区生态系统光合参数的时空变异及其影响因素。研究表明: 生态系统光合参数在干旱半干旱区存在着明显的时空变异, 从荒漠、荒漠草原、典型草原到草甸草原光合参数有逐渐增大的趋势。降水量是影响光合参数空间变异的主导环境因子, 其同时影响叶面积指数的空间变异, 两者共同决定光合参数的空间变异。αPmax均随着降水量的增加而增大, 而α与气温有显著的负相关关系, 辐射对光合参数空间变异的影响则不显著。生长季αPmax总体呈先增加后降低的趋势, 但不同植被类型的月际变异性和峰值出现的时间不同, 草甸草原的光合参数具有最大的月际变异性。α的月际动态主要受温度和辐射的调控, 而Pmax在荒漠和荒漠草原受温度和辐射调控, 在典型草原和草甸草原则主要受土壤含水量的调控。干旱半干旱区生态系统α为0.000 47-0.002 12 mg·μmol-1, Pmax为0.11-0.78 mg·m-2·s-1, 同其他草地生态系统相比处于较低的水平, 高温和低土壤水分供给是制约干旱半干旱区光合参数的主要因素。

关键词: 表观量子效率, 最大光合速率, 干旱半干旱区, 光合参数, 涡度相关技术

Abstract:

Aims Ecosystem apparent quantum yield (α) and maximum photosynthetic rate (Pmax) are important parameters reflecting the photosynthetic characteristics of ecosystem, and also important physiological parameters in ecosystem model simulation and remote sensing inversion. The objectives of this study were to: (1) analyze the characteristics and spatial-temporal variations of the light response parameters of ecosystems in arid and semi-arid areas; and (2) reveal the key factors affecting the photosynthetic parameters and its underlying mechanisms in arid and semi-arid areas, so as to provide a scientific basis for the study of ecosystem photosynthesis and response to climate change on a regional scale.

Methods The observational fluxes and synchronous meteorological data of 9 stations in arid and semi-arid area were integrated from ChinaFLUX. The non-rectangular hyperbolic equations were used to fit the light response parameters and which influencing factors were identified by linear regression, multiple stepwise regression and path analysis.

Important findings There were obvious spatial and temporal variations in ecosystem photosynthetic parameters in arid and semi-arid areas. The photosynthetic parameters increased gradually from desert, desert grassland, typical grassland to meadow grassland. Precipitation was the dominant environmental factor of the spatial variations of photosynthetic parameters, and it also affected the spatial variation of leaf area index, both of them jointly determine the spatial variation of photosynthetic parameters. α and Pmax have an obvious increasing trend with the increase of precipitation, and there was a significant negative correlation between temperature and α, but the effect of radiation on the spatial variation of photosynthetic parameters was not significant. In the growing season, Pmax and α increased first and then decreased, but the monthly variability and peak time of different vegetation types were different, the photosynthetic parameters of meadow grassland had the greatest monthly variability. The monthly dynamics of α was mainly controlled by temperature and radiation, while Pmax was regulated by temperature and radiation in desert and desert grassland, and by soil water content in typical grassland and meadow grassland. Ecosystem α were 0.000 47-0.002 12 mg·μmol-1, and Pmax were 0.11-0.78 mg·m-2·s-1 in arid and semi-arid area, which were at a low level compared with other grassland ecosystems. High temperature and low soil water supply were likely the main factors restricting the photosynthetic parameters in arid and semi-arid areas.

Key words: apparent quantum yield, maximum photosynthetic rate, arid and semi-arid region, photosynthetic parameter, eddy-covariance (EC) technique