Abstract Carbon exchanges and their responses to temperature and precipitation in forest ecosystems in Yunnan, Southwest China
首页> 外文期刊>The Science of the Total Environment >Carbon exchanges and their responses to temperature and precipitation in forest ecosystems in Yunnan, Southwest China
【24h】

Carbon exchanges and their responses to temperature and precipitation in forest ecosystems in Yunnan, Southwest China

机译:西南云南​​森林生态系统碳交换及其对温度和降水的响应

获取原文
获取原文并翻译 | 示例
       

摘要

AbstractForest ecosystems play an increasingly important role in the global carbon cycle. However, knowledge on carbon exchanges, their spatio-temporal patterns, and the extent of the key controls that affect carbon fluxes is lacking. In this study, we employed 29-site-years of eddy covariance data to observe the state, spatio-temporal variations and climate sensitivity of carbon fluxes (gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem carbon exchange (NEE)) in four representative forest ecosystems in Yunnan. We found that 1) all four forest ecosystems were carbon sinks (the average NEE was −3.40tCha−1yr−1); 2) contrasting seasonality of the NEE among the ecosystems with a carbon sink mainly during the wet season in the Yuanjiang savanna ecosystem (YJ) but during the dry season in the Xishuangbanna tropical rainforest ecosystem (XSBN), besides an equivalent NEE uptake was observed during the wet/dry season in the Ailaoshan subtropical evergreen broad-leaved forest ecosystem (ALS) and Lijiang subalpine coniferous forest ecosystem (LJ); 3) as the GPP increased, the net ecosystem production (NEP) first increased and then decreased when the GPP>17.5tCha−1yr−1; 4) the precipitation determines the carbon sinks in the savanna ecosystem (e.g., YJ), while temperature did so in the tropical forest ecosystem (e.g., XSBN); 5) overall, under the circumstances of warming and decreased precipitation, the carbon sink might decrease in the YJ but maybe increase in the ALS and LJ, while future strength of the sink in the XSBN is somewhat uncertain. However, based on the redundancy analysis, the temperature and precipitation combined together explained 39.7%, 32.2%, 25.3%, and 29.6% of the variations in the NEE in the YJ, XSBN, ALS and LJ, respectively, which indicates that considerable changes in the NEE could not be explained by variations in the temperature and precipitation. Therefore, the effects of other factors (e.g., CO2concentration, N/P deposition, aerosol and other variables) on the NEE still require extensive research and need to be considered seriously in carbon-cycle-models.Graphical abstractDisplay OmittedHighlightsAll four ecosystems were carbon sinks although contrasting seasonality of NEP.Relationship between NEP and GPP should be parabolic rather than linear.Path/redundancy analysis were applied to identify patterns of controls on C fluxes.Controls differed: T reduced NEP in rainforest, while P increased NEP in savanna.Variations in NEP were more sensitive to T than P in Yunnan’s forest ecosystems.
机译: 摘要 森林生态系统在全球碳循环中扮演着越来越重要的角色。但是,缺乏关于碳交换,其时空模式以及影响碳通量的关键控制措施的知识。在这项研究中,我们采用了29个站点年的涡度协方差数据来观察碳通量的状态,时空变化和气候敏感性(总初级生产力(GPP),生态系统呼吸(R eco )和云南四个代表性森林生态系统的净生态系统碳交换(NEE)。我们发现1)所有四个森林生态系统都是碳汇(平均NEE为−3.40tCha -1 yr − 1 ); 2)在元江稀树草原生态系统(YJ)的雨季和西双版纳热带雨林生态系统(XSBN)的旱季期间,具有碳汇的生态系统中NEE的季节性特征相反,此外在2006年观测到等效的NEE吸收哀牢山亚热带常绿阔叶森林生态系统(ALS)和丽江亚高山针叶林生态系统(LJ)的干湿季节; 3)随着GPP的增加,当GPP> 17.5tCha − 1 yr -1 ; 4)降水决定了热带稀树草原生态系统(例如YJ)中的碳汇,而温度决定了热带森林生态系统(例如XSBN)中的碳汇; 5)总体而言,在变暖和降水减少的情况下,YJ的碳汇可能会减少,而ALS和LJ可能会增加,而XSBN中碳汇的未来强度尚不确定。然而,基于冗余度分析,温度和降水的总和分别解释了YJ,XSBN,ALS和LJ的NEE变化的39.7%,32.2%,25.3%和29.6%,这表明变化很大。 NEE中的温度不能用温度和降水的变化来解释。因此,其他因素(例如,CO 2 浓度,N / P沉积,气溶胶和其他变量)对NEE的影响仍然需要进行广泛的研究,并且需要在碳循环模型中被认真考虑。 < ce:section-title id =“ st0010”>图形摘要 省略显示 亮点 尽管与NEP的季节性不同,这四个生态系统都是碳汇。 < ce:list-item id =“ li0010”> NEP和GPP之间的关系应该是抛物线而不是线性的。 路径/冗余分析已应用于识别C通量的控制模式。 控制方式不同:T减少了雨林的NEP,而P减少了热带草原的NEP。 NEP中的变化对T的敏感性高于对P的敏感性

著录项

  • 来源
    《The Science of the Total Environment》 |2018年第3期|824-840|共17页
  • 作者单位

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    Synthesis Research Center of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;

    Synthesis Research Center of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;

    Institute of Environmental Sciences and Ecological Restoration, School of Ecology and Environmental Sciences, Yunnan University;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Xishuangbanna Station for Tropical Rainforest Ecosystem Studies;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Ailaoshan Station for Subtropical Forest Ecosystem Studies;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Ailaoshan Station for Subtropical Forest Ecosystem Studies;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences,Ailaoshan Station for Subtropical Forest Ecosystem Studies;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Yuanjiang Savanna Ecosystem Research Station, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Lijiang Forest Ecosystem Research Station, Kunming Institute of Botany, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Lijiang Forest Ecosystem Research Station, Kunming Institute of Botany, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Lijiang Forest Ecosystem Research Station, Kunming Institute of Botany, Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,University of Chinese Academy of Sciences;

    Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences,Global Change Ecology Group, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences;

    School of GeoSciences, The University of Edinburgh;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon fluxes; Critical factors; Path analysis; Redundancy analysis; Climate change; Forest ecosystems; Eddy covariance;

    机译:碳通量;关键因素;路径分析;冗余分析;气候变化;森林生态系统;涡动协方差;
  • 入库时间 2022-08-17 13:47:19

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号