A global database of soil respiration data

A global database of soil respiration data
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DOI:
10.5194/bg-7-1915-2010
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发表时间:
2010-01-01
期刊:
影响因子:
4.9
通讯作者:
Thomson, A.
Thomson, A.
中科院分区:
地球科学2区
文献类型:
--
作者:
Bond-Lamberty, B.;Thomson, A.

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土壤呼吸——R-S,二氧化碳从土壤到大气的通量——可能是陆地碳循环中受约束最少的组成部分。在这里,我们介绍 SRDB 数据库,它是已发布的 R-S 数据的近乎通用的概要,并将其作为传统的静态存档和动态社区数据库提供给科学界,感兴趣的用户可能会随着时间的推移进行更新。该数据库包含所有已发表的研究,这些研究报告了在现场(非实验室)测量的以下数据之一:年度 R-S、平均季节性 R-S、R-S 到其源通量的季节性或年度划分、R-S 温度响应 (Q(10)) 或 10 A 摄氏度下的 R-S。因此,其方向是季节性和年度通量,而不是短期或特定于室的测量。迄今为止,已有 818 项研究的数据输入数据库,共 3379 条记录。数据跨度为 1961 年至 2007 年,主要是温带、排水良好的森林。我们简要研究了 SRDB 数据的一些方面——其气候空间覆盖范围、平均年 R-S 通量及其与其他碳通量的相关性、R-S 变异性、温度敏感性以及 R-S 源通量的划分——并提出了一些可以利用这些数据探索的潜在研究方向。 SRDB 数据库可通过永久存档在线获取以及通过项目托管存储库获取;后者利用开源软件技术来鼓励更广泛地参与数据库的未来开发。最终,我们希望 SRDB 的更新和修正将成为一个共享项目,由科学界中这些数据的用户管理。
Soil respiration - R-S, the flux of CO2 from the soil to the atmosphere - is probably the least well constrained component of the terrestrial carbon cycle. Here we introduce the SRDB database, a near-universal compendium of published R-S data, and make it available to the scientific community both as a traditional static archive and as a dynamic community database that may be updated over time by interested users. The database encompasses all published studies that report one of the following data measured in the field (not laboratory): annual R-S, mean seasonal R-S, a seasonal or annual partitioning of R-S into its sources fluxes, R-S temperature response (Q(10)), or R-S at 10 A degrees C. Its orientation is thus to seasonal and annual fluxes, not shorter-term or chamber-specific measurements. To date, data from 818 studies have been entered into the database, constituting 3379 records. The data span the measurement years 1961-2007 and are dominated by temperate, well-drained forests. We briefly examine some aspects of the SRDB data - its climate space coverage, mean annual R-S fluxes and their correlation with other carbon fluxes, R-S variability, temperature sensitivities, and the partitioning of R-S source flux - and suggest some potential lines of research that could be explored using these data. The SRDB database is available online in a permanent archive as well as via a project-hosting repository; the latter source leverages open-source software technologies to encourage wider participation in the database's future development. Ultimately, we hope that the updating of, and corrections to, the SRDB will become a shared project, managed by the users of these data in the scientific community.