A comparison of two methods for quantifying soil organic carbon of alpine grasslands on the Tibetan Plateau.

A comparison of two methods for quantifying soil organic carbon of alpine grasslands on the Tibetan Plateau.
复制标题

青藏高原高寒草原土壤有机碳两种定量方法比较

DOI:
10.1371/journal.pone.0126372
复制
发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
He JS
He JS
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chen L;Flynn DF;Jing X;Kühn P;Scholten T;He JS

文献摘要

参考文献

被引文献

相似文献

随着CO2浓度持续上升并推动全球气候变化,人们已经投入了大量精力来估计土壤碳(C)储量和随时间的动态。然而,研究人员采用的不一致的方法阻碍了这些工作的可比性,创建一个迫切需要标准化的各种方法的土壤有机碳(SOC)定量方法。在这里,我们收集了712个土壤样品,从36个地点的高寒草地在青藏高原覆盖不同的土壤深度和植被和土壤类型。我们使用元素分析仪测定土壤全C(STC),使用无机碳分析仪测定土壤无机C(SIC),然后将STC和SIC之间的差异定义为SOCCNS。此外,我们采用了改进的Walkley-Black(MWB)方法,以下SOCMWB。我们的研究结果表明,SOCCNS和SOCMWB之间有很强的相关性,在整个数据集,给定的校正因子为1.103的应用。土壤深度和土壤类型对SOCMWB/SOCCNS的恢复率有显著影响,恢复率与土壤碳酸盐含量和pH值密切相关。高寒草甸和草原恢复的差异主要是由土壤pH值引起的。此外,统计上还发现SOCCNS和STC之间存在较强的相关性,这表明通过STC数据估算整个西藏草原的SOCCNS储量是可行的。因此,我们的研究结果表明,为了准确地估计绝对SOC储量及其变化在西藏高寒草地,适当的修正修正WB测量是必要的,正确考虑土壤类型,植被,土壤pH值和土壤深度的影响。
As CO2 concentrations continue to rise and drive global climate change, much effort has been put into estimating soil carbon (C) stocks and dynamics over time. However, the inconsistent methods employed by researchers hamper the comparability of such works, creating a pressing need to standardize the methods for soil organic C (SOC) quantification by the various methods. Here, we collected 712 soil samples from 36 sites of alpine grasslands on the Tibetan Plateau covering different soil depths and vegetation and soil types. We used an elemental analyzer for soil total C (STC) and an inorganic carbon analyzer for soil inorganic C (SIC), and then defined the difference between STC and SIC as SOCCNS. In addition, we employed the modified Walkley-Black (MWB) method, hereafter SOCMWB. Our results showed that there was a strong correlation between SOCCNS and SOCMWB across the data set, given the application of a correction factor of 1.103. Soil depth and soil type significantly influenced on the recovery, defined as the ratio of SOCMWB to SOCCNS, and the recovery was closely associated with soil carbonate content and pH value as well. The differences of recovery between alpine meadow and steppe were largely driven by soil pH. In addition, statistically, a relatively strong correlation between SOCCNS and STC was also found, suggesting that it is feasible to estimate SOCCNS stocks through the STC data across the Tibetan grasslands. Therefore, our results suggest that in order to accurately estimate the absolute SOC stocks and its change in the Tibetan alpine grasslands, adequate correction of the modified WB measurements is essential with correct consideration of the effects of soil types, vegetation, soil pH and soil depth.
DOI: 10.1371/journal.pone.0057024
发表时间: 2013
期刊: PloS one
影响因子: 3.7
作者:
Dörfer C;Kühn P;Baumann F;He JS;Scholten T
通讯作者: Scholten T
DOI: 10.1038/nature04038
发表时间: 2005-09-08
期刊: NATURE
影响因子: 64.8
作者:
Bellamy, PH;Loveland, PJ;Kirk, GJD
通讯作者: Kirk, GJD
DOI: 10.1111/j.1469-8137.2006.01704.x
发表时间: 2006-01-01
期刊: NEW PHYTOLOGIST
影响因子: 9.4
作者:
He, JS;Wang, ZH;Fang, JY
通讯作者: Fang, JY
DOI: 10.2136/sssaj1979.03615995004300010014x
发表时间: 1979-01-01
影响因子: 2.9
作者:
BORNEMISZA, E;CONSTENLA, M;VASQUEZ, AJ
通讯作者: VASQUEZ, AJ
DOI: 10.1080/00103620009370493
发表时间: 2000-01-01
影响因子: 1.8
作者:
Hussain, I;Olson, KR
通讯作者: Olson, KR