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中国湖泊水库溶解碳数据集及其空间格局

A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China.

机构信息

Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China.

School of Environment and Planning, Liaocheng University, Liaocheng, 252000, China.

出版信息

Sci Data. 2020 Mar 9;7(1):82. doi: 10.1038/s41597-020-0419-5.

Abstract

A dissolved carbon (DC) data set, including dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC), from 224 lakes (513 stations) and 141 large reservoirs (337 stations) across China is presented in this study. In addition to DC, the data set also includes results for electrical conductivity (EC), total phosphorus (TP), chlorophyll-a and transparency. The impact of trophic status and EC gradient on DC concentration in water bodies are discussed. Results from our investigation indicate that DC in saline (EC > 1000 μS cm) water bodies (mean ± S.D, 297.13 ± 356.14 mg L, n = 186) are much higher than those in fresh water bodies (79.55 ± 199.34 mg L, n = 669). Similarly, eutrophic water bodies (n = 552) exhibited higher DC concentrations than mesotrophic (n = 215) and oligotrophic water bodies (n = 85); DC in lakes (158.445 ± 286.52 mg L, n = 513) was significantly higher than DC in reservoirs (37.83 ± 37.53 mg L, n = 337). All data used in this investigation is accessible online.

摘要

本研究提供了一个涵盖中国 224 个湖泊(513 个站点)和 141 个大型水库(337 个站点)的溶解碳(DC)数据集,包括溶解有机碳(DOC)和溶解无机碳(DIC)。除了 DC,该数据集还包括电导率(EC)、总磷(TP)、叶绿素-a 和透明度的结果。讨论了水体富营养化状态和 EC 梯度对 DC 浓度的影响。调查结果表明,在盐水(EC>1000 μS cm)水体(平均值±标准差,186 个样本的 297.13±356.14mg·L)中的 DC 浓度明显高于淡水水体(669 个样本的 79.55±199.34mg·L)。同样,富营养化水体(n=552)的 DC 浓度高于中营养化(n=215)和寡营养化水体(n=85);湖泊中的 DC(513 个样本的 158.445±286.52mg·L)明显高于水库中的 DC(337 个样本的 37.83±37.53mg·L)。本研究中使用的所有数据均可在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9069/7062785/bfd3d966df0c/41597_2020_419_Fig1_HTML.jpg

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