five

Data for "Ecosystem fluxes during drought and recovery in an experimental forest"

收藏
DataCite Commons2021-12-17 更新2025-04-16 收录
下载链接:
https://arizona.figshare.com/articles/dataset/Data_for_Ecosystem_fluxes_during_drought_and_recovery_in_an_experimental_forest_/14632593
下载链接
链接失效反馈
官方服务:
资源简介:
Data used to generate figures for first ecosystem scale publication form the B2 WALD campaign entitled "Ecosystem fluxes during drought and recovery in an experimental forest." This item also includes metadata, figures, and a readme. <br>Abstract:<br>Severe droughts endanger ecosystem functioning worldwide. We investigated how drought affects carbon and water fluxes in addition to soil-plant-atmosphere interactions by tracing <sup>13</sup>CO<sub>2</sub> and deep-water <sup>2</sup>H<sub>2</sub>O label pulses and volatile organic compounds (VOCs) in an enclosed experimental rainforest. Ecosystem dynamics were driven by different plant functional group responses to drought. Drought- sensitive canopy trees dominated total fluxes but also exhibited the strongest response to topsoil drying. Although all canopy-forming trees had access to deep water, these reserves were spared until late in the drought. Belowground carbon transport was slowed, yet allocation of fresh carbon to VOCs remained high. Atmospheric VOC composition reflected increasing stress responses and dynamic soil-plant- atmosphere interactions, potentially affecting atmospheric chemistry and climate feedbacks. These interactions and distinct functional group strategies thus modulate drought impacts and ecosystem susceptibility to climate change. <br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>
提供机构:
University of Arizona Research Data Repository
创建时间:
2021-05-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作