Global transpiration data from sap flow measurements: the SAPFLUXNET database
Global transpiration data from sap flow measurements: the SAPFLUXNET database
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DOI：
10.5194/essd-2020-227-supplement
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发表时间：
2020-10
影响因子：
11.4
通讯作者：
R. Poyatos;V. Granda;V. Flo;M. Adams;M. Adams;Balázs Adorján;David Aguadé;M. Aidar;S. Allen-S.-A
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文献类型：
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作者：
R. Poyatos;V. Granda;V. Flo;M. Adams;M. Adams;Balázs Adorján;David Aguadé;M. Aidar;S. Allen-S.-A
抽象的。植物蒸腾作用将植被对水供应和需求的生理反应与陆地-大气界面的水文、能量和碳预算联系起来。然而，尽管蒸腾是全球范围内主要的土地蒸发通量，但蒸腾及其对环境驱动因素的响应目前尚未受到观测的很好限制。在这里，我们介绍了来自液流测量的全植物蒸腾数据的第一个全球汇编（SAPFLUXNET，https://sapfluxnet.creaf.cat/，最后访问：2021 年 6 月 8 日）。我们通过 R 编程语言实现的半自动数据工作流程对全球贡献者提供的各个数据集进行协调和质量控制。数据集包括一个或多个生长季节的液流和水文气象驱动因素的次日时间序列，以及有关林分特征、植物属性和测量技术细节的元数据。 SAPFLUXNET 包含 202 个全球分布的数据集，其中包含 174 个物种的 2714 种植物（主要是树木）的液流时间序列。 SAPFLUXNET 具有广泛的生物气候覆盖范围，特别是林地/灌木丛和温带森林生物群落（占数据集的 80%）。测量涵盖了各种展台结构特征和工厂尺寸。数据集涵盖 1995 年至 2018 年期间，其中 50% 的数据集至少为 3 年。大多数数据集都提供了随附的辐射和蒸气压不足数据，而 56% 的数据集提供了现场土壤含水量。许多数据集包含占林分总断面积 90% 或以上的物种的数据，从而可以估计不同生态环境中的林分蒸腾量。 SAPFLUXNET 增加了现有的植物性状数据集、生态系统通量网络和遥感产品，以帮助我们加深对植物用水、植物对干旱的反应和生态水文过程的了解。 SAPFLUXNET 版本 0.1.5 可从 Zenodo 存储库免费获取（https://doi.org/10.5281/zenodo.3971689；Poyatos 等人，2020a）。 “sapfluxnetr”R 包——旨在访问、可视化和处理 SAPFLUXNET 数据——可从 CRAN 获取。
Abstract. Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land–atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN.