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-13-2607-2021
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发表时间：
2021-06-14
影响因子：
11.4
通讯作者：
Martinez-Vilalta, Jordi
中科院分区：
文献类型：
--
作者：
Poyatos, Rafael;Granda, Victor;Martinez-Vilalta, Jordi
植物蒸腾作用将植被对水分供需的生理反应与陆-气界面的水文、能量和碳收支联系起来。然而，尽管在全球范围内的主要陆地蒸发通量，蒸腾作用及其对环境驱动因素的响应目前还没有很好地约束观测。在这里，我们介绍了第一个来自液流测量的全植物蒸腾数据的全球汇编（SAPFLUXNET，https：//sapfluxnet.creaf.cat/，最后访问日期：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协调和质量控制全球贡献者提供的单个数据集。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每日时间序列，以及关于林分特征、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，林地/灌木丛和温带森林生物群落尤其具有代表性（80%的数据集）。测量涵盖了各种各样的林分结构特征和植物大小。这些数据集涵盖了1995年至2018年期间，其中50%的数据集至少有3年的时间。伴随的辐射和蒸汽压赤字数据可用于大多数数据集，而现场土壤含水量可用于56%的数据集。许多数据集包含占林分断面积90%或更多的物种的数据，允许在不同的生态环境中估计林分蒸腾。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，以帮助增加我们对植物水分利用，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（https：//doi.org/10.5281/zenodo.3971689; Poyatos等人，2020年a）。“sapfluxnetr”R软件包-用于访问、可视化和处理SAPFLUXNET数据-可从CRAN获得。
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.