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共置生态数据可用于探索草地-林地对比下的表层和底层土壤碳动态。

Co-located ecological data for exploring top- and subsoil carbon dynamics across grassland-woodland contrasts.

机构信息

UK Centre for Ecology & Hydrology, Bangor, Gwynedd, LL57 2UW, UK.

UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, UK.

出版信息

Sci Data. 2024 May 9;11(1):478. doi: 10.1038/s41597-024-03333-w.

Abstract

Soil organic carbon (SOC) is a soil health indicator and understanding dynamics changing SOC stocks will help achieving net zero goals. Here we present four datasets featuring 11,750 data points covering co-located aboveground and below-ground metrics for exploring ecosystem SOC dynamics. Five sites across England with an established land use contrast, grassland and woodland next to each other, were rigorously sampled for aboveground (n = 109), surface (n = 33 soil water release curves), topsoil, and subsoil metrics. Commonly measured soil metrics were analysed in five soil increments for 0-1 metre (n = 4550). Less commonly measured soil metrics which were assumed to change across the soil profile were measured on a subset of samples only (n = 3762). Additionally, we developed a simple method for soil organic matter fractionation using density fractionation which is part of the less common metrics. Finally, soil metrics which may impact SOC dynamics, but with less confidence as to their importance across the soil profile were only measured on topsoil (~5-15 cm = mineral soil) and subsoil (below 50 cm) samples (n = 2567).

摘要

土壤有机碳(SOC)是土壤健康的一个指标,了解 SOC 储量的动态变化将有助于实现净零目标。在这里,我们提供了四个数据集,共包含 11750 个数据点,这些数据点涵盖了地上和地下生态系统 SOC 动态的相关指标。在英国的五个具有既定土地利用对比的地点,草地和林地相邻,对地上(n=109)、地表(n=33 个土壤水分释放曲线)、表土和底土指标进行了严格采样。在 0-1 米的五个土壤增量中对常用的土壤指标进行了分析(n=4550)。假设在土壤剖面中发生变化的较少测量的土壤指标仅在部分样本中进行了测量(n=3762)。此外,我们开发了一种使用密度分级的简单方法来进行土壤有机质分级,这是较少测量的指标之一。最后,仅在表土(~5-15cm=矿物土壤)和底土(<50cm)样本(n=2567)上测量了可能影响 SOC 动态的土壤指标,但对其在土壤剖面中的重要性的信心较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccbb/11081944/d7cf2bf0d687/41597_2024_3333_Fig1_HTML.jpg

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