Processed sap flow and fine-root trait data associated with summer drought responses in temperate trees in Lisle, Illinois, USA (2019–2021)

These data support the manuscript “Acquisitive root exploration strategies help maintain higher peak sap flux rates during summer drought, but more root biomass does not”. The dataset includes processed sap flow measurements and fine-root trait data collected between 2019 and 2021 from temperate monodominant tree plots established in the 1920s to 1930s ranging in size from 0.05 to 0.8 ha at The Morton Arboretum in Lisle, IL. Sap flow was measured with ICT sap flow sensors using the heat ratio method. Fine-root traits were measured from soil cores which includes specific root length (SRL), specific root area (SRA), diameter, biomass, and length for diameter classes ≤1 mm and ≤2 mm. The package contains comma separated value (CSV) data files and associated metadata that can be viewed and analyzed using common software such as spreadsheet programs, R, and Python. These data are used to investigate how variation in fine-root traits relate to tree water use and drought response during summer drought linking belowground root traits and aboveground physiological responses.

本数据集配套论文《获取型根系探索策略有助于在夏季干旱期间维持更高的液流通量峰值，但增加根系生物量并无此效果》（"Acquisitive root exploration strategies help maintain higher peak sap flux rates during summer drought, but more root biomass does not"）。本数据集包含2019至2021年间采集的经预处理的液流测量数据与细根性状数据，数据采自美国伊利诺伊州莱尔市莫顿树木园（The Morton Arboretum）内建于1920至1930年代的温带单优林样地，样地面积介于0.05至0.8公顷之间。液流量采用ICT液流传感器（ICT sap flow sensors）基于热比率法完成测定。细根性状通过土芯样本测定，涵盖直径≤1毫米和≤2毫米径级的比根长（specific root length, SRL）、比根面积（specific root area, SRA）、根径、生物量及根长等指标。本数据集包含逗号分隔值（comma separated value, CSV）格式数据文件及配套元数据，可通过电子表格软件、R及Python等通用工具进行查看与分析。本数据集用于探究夏季干旱期间细根性状变异与树木水分利用及干旱响应之间的关联，从而揭示地下根系性状与地上生理响应之间的内在联系。