Nitrogen, water content, phosphorus and active iron jointly regulate soil organic carbon in tropical acid red soil forest

2020 ◽  
Vol 72 (1) ◽  
pp. 446-459 ◽  
Author(s):  
Jinyue Bai ◽  
Mingming Zong ◽  
Shiyu Li ◽  
Haixia Li ◽  
Changqun Duan ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Water Content ◽  
Red Soil ◽  
Active Iron

Effect of Soil Sampling Density on Detected Spatial Variability of Soil Organic Carbon in a Red Soil Region of China

Pedosphere ◽  
2011 ◽  
Vol 21 (2) ◽  
pp. 207-213 ◽  
Author(s):  
Dong-Sheng YU ◽  
Zhong-Qi ZHANG ◽  
Hao YANG ◽  
Xue-Zheng SHI ◽  
Man-Zhi TAN ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Red Soil ◽  
Soil Sampling ◽  
Sampling Density

Impacts of collapsing gullies on the dynamics of soil organic carbon in the red soil hilly region of southeast China

CATENA ◽  
2020 ◽  
Vol 190 ◽  
pp. 104547
Author(s):  
Yue Zhang ◽  
Dongfeng Zhao ◽  
Jinshi Lin ◽  
Lin Jiang ◽  
Bifei Huang ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Red Soil ◽  
Southeast China ◽  
Hilly Region ◽  
Red Soil Hilly Region

scholarly journals Influence of Sampling Point Discretization on the Regional Variability of Soil Organic Carbon in the Red Soil Region, China

2018 ◽  
Vol 10 (10) ◽  
pp. 3603 ◽  
Author(s):  
Zhongqi Zhang ◽  
Yiquan Sun ◽  
Dongsheng Yu ◽  
Peng Mao ◽  
Li Xu
Keyword(s):  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Interpolation ◽  
Red Soil ◽  
Soil Sampling ◽  
Sampling Point ◽  
Regional Variability ◽  
Interpolation Methods ◽  
Sampling Points

Research on the regional variability of soil organic carbon (SOC) has focused mostly on the influence of the number of soil sampling points and interpolation methods. Little attention has typically been paid to the influence of sampling point discretization. Based on dense soil sampling points in the red soil area of Southern China, we obtained four sample discretization levels by a resampling operation. Then, regional SOC distributions were obtained at four levels by two interpolation methods: ordinary Kriging (OK) and Kriging combined with land use information (LuK). To evaluate the influence of sample discretization on revealing SOC variability, we compared the interpolation accuracies at four discretization levels with uniformly distributed validation points. The results demonstrated that the spatial distribution patterns of SOC were roughly similar, but the contour details in some local areas were different at the various discretization levels. Moreover, the predicted mean absolute errors (MAE) and root mean square errors (RMSE) of the two Kriging methods all rose with an increase in discretization. From the lowest to the largest discretization level, the MAEs of OK and LuK rose from 4.47 and 3.02 g kg−1 to 5.46 and 3.54 g kg−1, and the RMSEs rose from 5.13 and 3.95 g kg−1 to 5.76 and 4.76 g kg−1, respectively. Though the trend of prediction errors varied with discretization levels, the interpolation accuracies of the two Kriging methods were both influenced by the sample discretization level. Furthermore, the spatial interpolation uncertainty of OK was more sensitive to the discretization level than that of the LuK method. Therefore, when the spatial distribution of SOC is predicted using Kriging methods based on the same sample quantity, the more uniformly distributed sampling points are, the more accurate the spatial prediction accuracy of SOC will be, and vice versa. The results of this study can act as a useful reference for evaluating the uncertainty of SOC spatial interpolation and making a soil sampling scheme in the red soil region of China.

Effects of artificially restored forests on soil organic carbon and active organic carbon in eroded red soil

2017 ◽  
Vol 37 (1) ◽  
Author(s):  
朱丽琴 ZHU Liqin ◽  
黄荣珍 HUANG Rongzhen ◽  
段洪浪 DUAN Honglang ◽  
贾龙 JIA Long ◽  
王赫 WANG He ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Red Soil ◽  
Active Organic Carbon

Sub-tropic degraded red soil restoration: Is soil organic carbon build-up limited by nutrients supply

2013 ◽  
Vol 300 ◽  
pp. 77-87 ◽  
Author(s):  
Xia Gong ◽  
Yuanqiu Liu ◽  
Qinglin Li ◽  
Xiaohua Wei ◽  
Xiaomin Guo ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Red Soil ◽  
Soil Restoration

scholarly journals Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content

2016 ◽  
Vol 20 (9) ◽  
pp. 3859-3872 ◽  
Author(s):  
William Alexander Avery ◽  
Catherine Finkenbiner ◽  
Trenton E. Franz ◽  
Tiejun Wang ◽  
Anthony L. Nguy-Robertson ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Water Content ◽  
Bulk Density ◽  
Soil Water Content ◽  
Cosmic Ray ◽  
Soil Bulk Density ◽  
Local Soil ◽  
Calibration Parameters

Abstract. The need for accurate, real-time, reliable, and multi-scale soil water content (SWC) monitoring is critical for a multitude of scientific disciplines trying to understand and predict the Earth's terrestrial energy, water, and nutrient cycles. One promising technique to help meet this demand is fixed and roving cosmic-ray neutron probes (CRNPs). However, the relationship between observed low-energy neutrons and SWC is affected by local soil and vegetation calibration parameters. This effect may be accounted for by a calibration equation based on local soil type and the amount of vegetation. However, determining the calibration parameters for this equation is labor- and time-intensive, thus limiting the full potential of the roving CRNP in large surveys and long transects, or its use in novel environments. In this work, our objective is to develop and test the accuracy of globally available datasets (clay weight percent, soil bulk density, and soil organic carbon) to support the operability of the roving CRNP. Here, we develop a 1 km product of soil lattice water over the continental United States (CONUS) using a database of in situ calibration samples and globally available soil taxonomy and soil texture data. We then test the accuracy of the global dataset in the CONUS using comparisons from 61 in situ samples of clay percent (RMSE  =  5.45 wt %, R2  =  0.68), soil bulk density (RMSE  =  0.173 g cm−3, R2  =  0.203), and soil organic carbon (RMSE  =  1.47 wt %, R2  =  0.175). Next, we conduct an uncertainty analysis of the global soil calibration parameters using a Monte Carlo error propagation analysis (maximum RMSE  ∼  0.035 cm3 cm−3 at a SWC  =  0.40 cm3 cm−3). In terms of vegetation, fast-growing crops (i.e., maize and soybeans), grasslands, and forests contribute to the CRNP signal primarily through the water within their biomass and this signal must be accounted for accurate estimation of SWC. We estimated the biomass water signal by using a vegetation index derived from MODIS imagery as a proxy for standing wet biomass (RMSE  <  1 kg m−2). Lastly, we make recommendations on the design and validation of future roving CRNP experiments.

Significance and driving forces of dark CO2 fixation for organic carbon inputs in temperate forest soils

2020 ◽  
Author(s):  
Rachael Akinyede ◽  
Martin Taubert ◽  
Marion Schrumpf ◽  
Susan Trumbore ◽  
Kirsten Küsel
Keyword(s):  
Microbial Biomass ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Water Content ◽  
Forest Soils ◽  
Temperate Forest ◽  
Carbon Pool ◽  
Significant Difference ◽  
Temperate Forest Soils ◽  
Organic Carbon Pool

&lt;p&gt;Soils are the largest terrestrial organic carbon pool and one of the largest terrestrial sources of CO&lt;sub&gt;2&lt;/sub&gt; in the atmosphere. However, not all CO&lt;sub&gt;2&lt;/sub&gt; produced in soils is released into the atmosphere, as dark CO&lt;sub&gt;2&lt;/sub&gt; fixation has been shown to modulate CO&lt;sub&gt;2&lt;/sub&gt; release from soils. Temperate forest soils store up to half of the soil organic carbon pool to 1m depth and are recognized as important components of the global carbon cycle, yet studies on dark CO&lt;sub&gt;2&lt;/sub&gt; fixation in temperate forest soils are scarce. Using a well characterized Cambisol soil plot in the Hainich National Park (temperate forest), Germany, we explore dark CO&lt;sub&gt;2&lt;/sub&gt; fixation with the aim to assess the CO&lt;sub&gt;2&lt;/sub&gt; fixation rates, the influencing biogeochemical parameters, and the contribution of this process to temperate forest soil organic carbon (SOC).&lt;/p&gt;&lt;p&gt;Dark CO&lt;sub&gt;2&lt;/sub&gt; fixation was quantified via the uptake of &lt;sup&gt;13&lt;/sup&gt;C-CO&lt;sub&gt;2&lt;/sub&gt; added to microcosms containing soils sampled from three depths. Under 2% CO&lt;sub&gt;2&lt;/sub&gt; headspace, rates of dark CO&lt;sub&gt;2&lt;/sub&gt; fixation at soil level decreased with depth from 0.86 &amp;#181;g C gdw&lt;sup&gt;-1&lt;/sup&gt;d&lt;sup&gt;-1&lt;/sup&gt; in 0 - 12 cm to 0.05 &amp;#181;g C gdw&lt;sup&gt;-1&lt;/sup&gt;d&lt;sup&gt;-1&lt;/sup&gt; in 70 -100 cm, accounting for up to 1.1% of microbial biomass and up to 0.035% of soil organic carbon. However, as differences in microbial biomass abundance and community profiles with depth were found, no significant difference in the rates across depth was observed at microbial level. This suggests that microbial biomass is an important driver of dark CO&lt;sub&gt;2 &lt;/sub&gt;fixation in soils. Given a global temperate forest area of 6.9 million km&lt;sup&gt;2&lt;/sup&gt; and an average soil bulk density of 1&amp;#160;Mg/m&lt;sup&gt;3 &lt;/sup&gt;dark CO&lt;sub&gt;2&lt;/sub&gt; fixation will potentially account for the gross sequestration of 0.31 - 0.48 GtC/yr to a depth of 1 m. Furthermore, an increase in headspace CO&lt;sub&gt;2&lt;/sub&gt; concentration enhanced CO&lt;sub&gt;2&lt;/sub&gt; fixation rates by up to 3.4-fold under 20% v:v CO&lt;sub&gt;2&lt;/sub&gt; showing that dark CO&lt;sub&gt;2&lt;/sub&gt; fixation can be substantial in soils with higher CO&lt;sub&gt;2&lt;/sub&gt; concentrations.&lt;/p&gt;&lt;p&gt;To validate microbial biomass as a driver of dark CO&lt;sub&gt;2&lt;/sub&gt; fixation in soils, we made comparisons with soil plots from the Schorfheide-Chorin exploratory forest, Germany, a temperate forest characterized by vegetation-specific bacterial community structure, higher sand content and acidic pH gradients. Under these conditions, CO&lt;sub&gt;2&lt;/sub&gt; fixation rates at microbial level were significantly different across depth suggesting that aside microbial biomass, other abiotic factors may influence dark CO&lt;sub&gt;2&lt;/sub&gt; fixation in these soils. Of all the tested abiotic variables, water content was the main explanatory factor for the variations in dark CO&lt;sub&gt;2&lt;/sub&gt; fixation rates in the Schorfheide-chorin soils. Additionally, based on 16S rRNA sequencing, qPCR and PICRUSt2 analysis, only a few putative autotrophic communities were present and displayed vegetation-specific variations indicating an influence of vegetation type and input on the active community.&lt;/p&gt;&lt;p&gt;Our findings highlight microbial biomass, CO&lt;sub&gt;2&lt;/sub&gt; and water content as the main drivers of dark CO&lt;sub&gt;2&lt;/sub&gt; fixation in temperate forest soils with only a small proportion of autotrophs being present, suggesting the potential mediators of this process. We also demonstrate the significance of this process in global temperate forest SOC inputs.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;

Effects of water erosion on the redistribution of soil organic carbon in the hilly red soil region of southern China

Geomorphology ◽  
2013 ◽  
Vol 197 ◽  
pp. 137-144 ◽  
Author(s):  
Xue Zhang ◽  
Zhongwu Li ◽  
Zhenghong Tang ◽  
Guangming Zeng ◽  
Jinquan Huang ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Southern China ◽  
Water Erosion ◽  
Red Soil ◽  
Hilly Red Soil Region
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