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若尔盖高寒湿地—大气间碳交换特征及驱动机制研究

陈怡璇 文军 涂镇武 颜晶

大气科学2025,Vol.49Issue(5):1258-1270,13.
大气科学2025,Vol.49Issue(5):1258-1270,13.DOI:10.3878/j.issn.1006-9895.2408.24025

若尔盖高寒湿地—大气间碳交换特征及驱动机制研究

Characteristics and Driving Mechanism of Carbon Exchange between the Zoige Alpine Wetland and Atmosphere

陈怡璇 1文军 1涂镇武 1颜晶1

作者信息

  • 1. 成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室,成都 610225
  • 折叠

摘要

Abstract

In the context of global warming,the carbon process of alpine wetland ecosystems is complex and sensitive;however,the long-term dynamics and driving mechanisms of the carbon balance in alpine wetland ecosystems remain unclear.In this study,the carbon dioxide(CO2)flux measured by the eddy covariance technique was used to analyze the CO2 exchange flux in the Zoige alpine wetland from 2017 to 2021,as well as the dynamics and driving mechanisms of the CO2 exchange flux were determined.The results showed that during the vegetation growing season(June-October),the annual gross primary productivity(GPP)and ecosystem respiration(Re)of the ecosystem displayed a unimodal pattern,while the annual average net ecosystem carbon exchange(NEE)of CO2 displayed a V-shaped trend.The Zoige alpine wetland ecosystem is a carbon sink during the growing season;as such,it absorbs more carbon from the air than it releases.The daily average NEE,GPP,and Re over the years reached-3.10±4.61,4.78±5.61,and 1.65±1.56 μmol m-2 s-1,respectively.The effects of air temperature,soil temperature,photosynthetic photon flux density,precipitation,air relative humidity,and vapor pressure deficit on NEE,GPP,and Re were analyzed on a monthly scale using regression analysis.The results of regression analysis showed that air temperature,soil temperature,and precipitation were the main determinants of monthly NEE changes,and NEE was negatively correlated with these effects.soil temperature and air temperature largely determined the monthly variation in GPP,and they were positively correlated with GPP;soil temperature,air temperature,and precipitation were the main determinants of monthly Re variation,and they were positively correlated with Re.The Classification and Regression Tree algorithm was used to analyze the effects of various factors on carbon exchange flux on a daily scale.The results showed that soil temperature had a strong influence on daily GPP and Re,and temperature was the main factor controlling daily NEE.The results of this study provide important data and reference for understanding the carbon budget of alpine wetland ecosystems.

关键词

高寒湿地/交换/碳交换通量/驱动

Key words

Alpine wetland/Exchange/Carbon exchange flux/Drive

分类

天文与地球科学

引用本文复制引用

陈怡璇,文军,涂镇武,颜晶..若尔盖高寒湿地—大气间碳交换特征及驱动机制研究[J].大气科学,2025,49(5):1258-1270,13.

基金项目

四川省科技教育联合基金项目2024NSFSC1979,国家自然科学基金项目42375032,成都信息工程大学科研项目KYTZ201821 Sichuan Science and Education Joint Fund Project(Grant 2024NSFSC1979),National Natural Science Foundation of China(Grant 42375032),Science Foundation of Chengdu University of Information Technology(Grant KYTZ201821) (Grant 2024NSFSC1979)

大气科学

OA北大核心

1006-9895

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