Environmental control of land-atmosphere CO2 fluxes from temperate ecosystems: a statistical approach based on homogenized time series from five land-use types

Virginie Moreaux, B. Longdoz, D. Berveiller, N. Delpierre, E. Dufrene, J. Bonnefond, C. Chipeaux, R. Joffre, J. Limousin, J. Ourcival, K. Klumpp, Olivier Darsonville, A. Brut, T. Tallec, E. Ceschia, G. Panthou, D. Loustau
{"title":"Environmental control of land-atmosphere CO2 fluxes from temperate ecosystems: a statistical approach based on homogenized time series from five land-use types","authors":"Virginie Moreaux, B. Longdoz, D. Berveiller, N. Delpierre, E. Dufrene, J. Bonnefond, C. Chipeaux, R. Joffre, J. Limousin, J. Ourcival, K. Klumpp, Olivier Darsonville, A. Brut, T. Tallec, E. Ceschia, G. Panthou, D. Loustau","doi":"10.1080/16000889.2020.1784689","DOIUrl":null,"url":null,"abstract":"Abstract We assembled homogenized long-term time series, up to 19 years, of measurements of net ecosystem exchange of CO2 (NEE) and its partitioning between gross primary production (GPP) and respiration (Reco) for five different ecosystems representing the main plant functional types (PFTs) in France. Part of these data was analyzed to determine the influence of the main environmental variables on carbon fluxes between temperate ecosystems and the atmosphere, and to investigate the temporal patterns of their variations. A multi-temporal statistical analysis of the time series was conducted using random forest (RF) and wavelet coherence approaches. The RF analysis showed that, in all ecosystems, the incident solar radiation was highly correlated with GPP and that GPP was better correlated with the temporal variations of NEE than Reco. The air temperature was the second most important driver in ecosystems with seasonal foliage, i.e., deciduous forest, cropland and grassland; whereas variables related to air or soil drought were prominent in evergreen forest sites. The environmental control on CO2 fluxes was tighter at high frequency suggesting an increased resilience to environmental variations at longer time spans. The spectral analysis performed on three of the five sites selected revealed contrasting temporal patterns of the cross-coherence between CO2 fluxes and climate variables among ecosystems; these were related to the respective PFT, management and soil conditions. In all PFTs, the power spectrum of GPP was well correlated with NEE and clearly different from Reco. The spectral correlation analysis showed that the canopy phenology and disturbance regime condition the spectral correlation patterns of GPP and Reco with the soil moisture and atmospheric vapour deficit.","PeriodicalId":22320,"journal":{"name":"Tellus B: Chemical and Physical Meteorology","volume":"53 1","pages":"1 - 25"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tellus B: Chemical and Physical Meteorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/16000889.2020.1784689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Abstract We assembled homogenized long-term time series, up to 19 years, of measurements of net ecosystem exchange of CO2 (NEE) and its partitioning between gross primary production (GPP) and respiration (Reco) for five different ecosystems representing the main plant functional types (PFTs) in France. Part of these data was analyzed to determine the influence of the main environmental variables on carbon fluxes between temperate ecosystems and the atmosphere, and to investigate the temporal patterns of their variations. A multi-temporal statistical analysis of the time series was conducted using random forest (RF) and wavelet coherence approaches. The RF analysis showed that, in all ecosystems, the incident solar radiation was highly correlated with GPP and that GPP was better correlated with the temporal variations of NEE than Reco. The air temperature was the second most important driver in ecosystems with seasonal foliage, i.e., deciduous forest, cropland and grassland; whereas variables related to air or soil drought were prominent in evergreen forest sites. The environmental control on CO2 fluxes was tighter at high frequency suggesting an increased resilience to environmental variations at longer time spans. The spectral analysis performed on three of the five sites selected revealed contrasting temporal patterns of the cross-coherence between CO2 fluxes and climate variables among ecosystems; these were related to the respective PFT, management and soil conditions. In all PFTs, the power spectrum of GPP was well correlated with NEE and clearly different from Reco. The spectral correlation analysis showed that the canopy phenology and disturbance regime condition the spectral correlation patterns of GPP and Reco with the soil moisture and atmospheric vapour deficit.
温带生态系统对陆地-大气CO2通量的环境控制:基于五种土地利用类型均质化时间序列的统计方法
本文收集了法国5个不同生态系统的二氧化碳净生态系统交换(NEE)及其在总初级生产量(GPP)和呼吸(Reco)之间的分配的均质长期时间序列(长达19年),这些生态系统代表了主要的植物功能类型(pft)。对部分数据进行了分析,以确定主要环境变量对温带生态系统与大气之间碳通量的影响,并探讨其变化的时间格局。采用随机森林(RF)和小波相干方法对时间序列进行了多时相统计分析。RF分析表明,在所有生态系统中,入射太阳辐射与GPP高度相关,GPP与NEE的时间变化的相关性优于Reco。在落叶、农田和草地等具有季节性植被的生态系统中,气温是第二重要的驱动因素;而与空气和土壤干旱相关的变量在常绿林分地尤为突出。环境对二氧化碳通量的控制在高频率时更为严格,这表明在较长时间跨度内对环境变化的适应能力增强。对选定的五个站点中的三个站点进行的光谱分析揭示了生态系统中CO2通量与气候变量之间交叉一致性的不同时间模式;这些与各自的PFT、管理和土壤条件有关。在所有pft中,GPP的功率谱与NEE有良好的相关性,与Reco有明显的差异。光谱相关分析表明,林冠物候和扰动状态决定了GPP和Reco与土壤水分和大气水汽亏缺的光谱相关模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信