首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China
【24h】

Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China

机译:云南省云南省云南,云南省云南省云南省的光学利用效率的模式与控制

获取原文
获取原文并翻译 | 示例
       

摘要

Ecosystem light use efficiency (LUE) is a critical parameter in estimating CO2 uptake by vegetation from climatological and satellite data. However, the spatiotemporal dynamics and biophysical regulations of ecosystem-level LUE are not well understood, resulting in large uncertainties in the estimation of gross primary productivity (GPP) using LUE-based models. In this study, we used eddy covariance to explore spatiotemporal variations and controls of LUE in four contrasting forest ecosystems (savanna, tropical rainforest, subtropical evergreen forest, and subalpine coniferous forest). Based on 27 site years of data, we found that (1) the multiyear mean LUE was 0.063, 0.251, 0.247, and 0.140 g C· mol photon~(-1) in the four contrasting ecosystems, respectively; (2) the LUE in the wet season (May-October) was higher than that in the dry season in all studied ecosystems; (3) the leaf area index controlled GPP and LUE significantly and explained 74%, 29%, 54%, and 36% of the variation in GPP and 51%, 19%, 41%, and 54% of the variation in LUE in the four contrasting ecosystems, respectively; (4) path analysis revealed the critical roles of GPP and vapor pressure deficit in controlling LUE in these four forest ecosystems; and (5) under warming scenarios, LUE may decrease in savanna but increase in the other three ecosystems, while decreasing precipitation (P) may reduce LUE in the ecosystems studied. This study improves our understanding of the influence of biophysical factors on LUE and demonstrates how LUE changes with variations in temperature, soil moisture, and leaf area index, thereby improving estimations of large-scale carbon exchange/cycling.
机译:生态系统光利用效率(Lue)是估算来自气候和卫星数据的植被CO2吸收的关键参数。然而,生态系统级液的时空动态和生物物理法规尚不清楚,导致使用基于LUE的模型估计总初级生产力(GPP)的大不确定性。在这项研究中,我们使用Eddy Covariance探讨了四个造影林生态系统(大草原,热带雨林,亚热带常绿森林和亚高尔平针叶林)的时空变化和控制。基于27个网站数据,我们发现(1)分别是四个对比生态系统中的0.063,0.251,0.247和0.140g C·Mol Photon〜(-1)。 (2)雨季(5月10月)的伦在所有研究生态系统中的干旱季节高; (3)叶面积指数在显着控制GPP和LUE,并解释了74%,29%,54%和36%的GPP变异,51%,19%,41%和54%的液四个对比的生态系统; (4)路径分析显示GPP和蒸气压赤字在这四种森林生态系统中控制Lue的关键作用; (5)在变暖情景下,Lue可能会降低大草原,但其他三个生态系统的增加,同时降低降水(P)可能会减少所研究的生态系统中的Lue。本研究提高了我们对生物物理因素对LUE影响的影响,并演示了如何在温度,土壤水分和叶面积指数的变化中改变何种变化,从而改善了大规模碳交换/循环的估计。

著录项

  • 来源
  • 作者单位

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    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 Beijing China;

    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 Beijing China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    Lijiang Forest Ecosystem Research Station Kunming Institute of Botany Chinese Academy of Sciences Kunming China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation Anhui Province Key Laboratory of Environmental Hormone and Reproduction Fuyang Normal University Fuyang China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    Lijiang Forest Ecosystem Research Station Kunming Institute of Botany Chinese Academy of Sciences Kunming China;

    Lijiang Forest Ecosystem Research Station Kunming Institute of Botany Chinese Academy of Sciences Kunming China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Menglun China;

    Yellow River Delta Ecological Research Station of Coastal Wetland Yantai Institute of coastal Zone Research Chinese Academy of Sciences Yantai China;

    School of GeoSciences The University of Edinburgh Edinburgh UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物分布与生物地理学;
  • 关键词

    Patterns; Controls; Light Use Efficiency;

    机译:图案;控制;轻盈使用效率;
  • 入库时间 2022-08-19 19:35:12

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