Data for Myers-Pigg et al. (2026), "Short-term coastal forest responses to a hurricane-scale freshwater and saltwater flooding experiment"
收藏资源简介:
Coastal upland forests are exposed to intensifying precipitation regimes and sea level rise, increasing tree mortality and transforming these coastal forests into wetland ecosystems. Despite these well-known risks, the differing degrees to which hydrological, biogeochemical, and biological components of upland forests respond to novel salinity exposure is relatively unknown. The Terrestrial Ecosystem Manipulation to Probe the Effects of Storm Treatments (TEMPEST) experiment decouples two distinct disturbances associated with hydrological extremes: (1) flooding from heavy precipitation and (2) exposure to saline conditions from storm surge. This dataset includes data reported in Myers-Pigg et al. (2025), which analyzed data from the first TEMPEST flooding treatment in 2022. This includes: - Colored dissolved organic matter in porewaters - Soil temperature and oxygen - Groundwater temperature and chemistry - Dissolved organic carbon concentrations in porewaters - Soil-to-atmosphere CH4 and CO2 fluxes - Soil temperature, water content, and electrical conductivity - Root-influenced CH4 and CO2 flux - Tree sap flow velocity - The R analytical code and documentation about the computational environmental in which it was run (the "sessionInfo.txt" file) All data files are plain-text comma separated value (CSV) and no special software is required to read them.
沿海丘陵森林正面临愈发强烈的降水格局变化与海平面上升威胁,这一状况加剧了树木死亡,并将此类沿海森林转变为湿地生态系统。尽管这些风险已广为人知,但丘陵森林的水文、生物地球化学与生物组分对新型盐度暴露的响应程度差异,目前仍相对缺乏认知。风暴处理效应探测陆地生态系统操控(Terrestrial Ecosystem Manipulation to Probe the Effects of Storm Treatments, TEMPEST)实验将两类与水文极端事件相关的干扰解耦:(1) 强降水引发的洪涝;(2) 风暴潮带来的盐度暴露。本数据集涵盖Myers-Pigg等人(2025)研究中所报道的数据,该研究分析了2022年首次开展的TEMPEST洪涝处理实验数据,具体包含以下内容:- 孔隙水中的有色溶解有机物;- 土壤温度与含氧量;- 地下水温度与化学组成;- 孔隙水中的溶解有机碳浓度;- 土壤-大气甲烷(CH4)与二氧化碳(CO2)交换通量;- 土壤温度、含水量与电导率;- 根系介导的甲烷与二氧化碳交换通量;- 树木液流速率;- R语言分析代码,以及运行该代码所需的计算环境文档(即"sessionInfo.txt"文件)。所有数据文件均为纯文本逗号分隔值(CSV)格式,无需专用软件即可读取。



