Organic carbon, organic matter and bulk density regression models for forest soils in Lanlingxi watershed, Three Gorges Reservoir area

TIAN Yaowu; HUANG Zhilin; XIAO Wenfa; WANG Ning; LIU Jing

doi:10.7671/j.issn.1001-411X.2016.01.015

Journal of South China Agricultural University > 2016 > 37(1): 89-95. > DOI: 10.7671/j.issn.1001-411X.2016.01.015

TIAN Yaowu, HUANG Zhilin, XIAO Wenfa, WANG Ning, LIU Jing. Organic carbon, organic matter and bulk density regression models for forest soils in Lanlingxi watershed, Three Gorges Reservoir area[J]. Journal of South China Agricultural University, 2016, 37(1): 89-95. DOI: 10.7671/j.issn.1001-411X.2016.01.015

Citation:

PDF (723 KB)

Organic carbon, organic matter and bulk density regression models for forest soils in Lanlingxi watershed, Three Gorges Reservoir area

1.
College of Forestry, Henan University of Science and Technology, Luoyang 471003, China
2.
Key Laboratory of Forest Ecology and Environment State Forestry Administration/Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China

More Information

Received Date: April 13, 2015
Available Online: May 17, 2023

Graphical Abstract

Abstract

Abstract

Objective
To establish regression models of soil organic carbon, organic matter and bulk density for forest soils and improve the regional soil attribute database in Lanlingxi watershed, Three Gorges Reservoir area.
Method
Using forest soil survey data of this watershed, the conversion factor for soil organic matter (SOM) to soil organic carbon (SOC) was established, and the regression models linking soil bulk density (BD) and SOM (SOC) content were built. The whole evaluation consisted of determining the coefficient of determination (R²), Nash-Sutcliffe coefficient of efficiency (E), and the percentage error (P_e).
Result
The Van Bemmelen conversion coefficient (0.58) could not be directly applied in this watershed. The proper SOC-SOM conversion coefficient was 0.455, as SOC-SOD conversion coefficients varied from different depth of soil, declining quickly with the increase of depth. The BD-SOM (SOC) regression models built in other regions could not be directly applied to this region. When parameters of the BD-SOM models were optimized, the logarithm polynomial model could be used for this region.
Conclusion
Overall, the simulated values of BD-SOM regression models are better than those of BD-SOC models, and it is recommended to use BD-SOM regression models to improve the soil database. Among the optimized BD-SOM models, the recommended model for this study is Federer organic density model with the highest efficiency (E=0.81) and the lowest error (P_e = 5.4%).

FullText(HTML)

References (27)

References

[1]	PRIBYL D W. A critical review of the conventional SOC to SOM conversion factor[J]. Geoderma, 2010, 156(3/4): 75-83.
[2]	田耀武, 黄志霖, 肖文发, 等.三峡库区典型流域退耕地植物种类及凋落物对土壤有机碳固定的影响[J].生态学杂志, 2012, 31(11): 2742-2747. http://d.old.wanfangdata.com.cn/Periodical/stxzz201211006
[3]	PÉRIÉC, OUIMET R. Organic carbon, organic matter and bulk density relationships in boreal forest soils[J]. Can J Soil Sci, 2008, 88(3): 315-325. doi: 10.4141/CJSS06008
[4]	FEDERER C A, TURCOTTE D E, SMITH C T. The organic fraction-bulk-density relationship and expression of nutrient content in forest soils[J]. Can J Forest Res, 1993, 23(6): 1026-1032. doi: 10.1139/x93-131
[5]	POST W M, KWON K C. Soil carbon sequestration and land-use change: Processes and potential[J]. Glob Change Biol, 2000, 6(3): 317-327. doi: 10.1046/j.1365-2486.2000.00308.x
[6]	ADAMS W A. The effects of organic matter on the bulk and true densities of some uncultivated podzolic soils[J]. J Soil Sci, 1973, 24(1):10-17. doi: 10.1111/ejs.1973.24.issue-1
[7]	鲍士旦.土壤农化分析[M].北京:中国农业出版社, 2008: 25-38.
[8]	NASH J E, SUTTCLIFFE J V. River flow forecasting through conceptual models: Part Ⅰ: A discussion of principles[J]. J Hydrol, 1970, 10(3): 282-290. doi: 10.1016/0022-1694(70)90255-6
[9]	HEUSCHER S A, BRANDT C C, JARDINE P M. Using soil physical and chemical properties to estimate bulk density[J]. Soil Sci Soc Am J, 2005, 69(1): 51-56.
[10]	MEERSMANS J, DE RIDDER F, CANTERS F, et al. A multiple regression approach to assess the spatial distribution of soil organic carbon (SOC) at the regional scale (Flanders, Belgium) [J]. Geoderma, 2008(1/2), 143: 1-13.
[11]	TREMBLAY S, OUIMET R, HOULE D. Prediction of organic carbon content in upland forest soils of Quebec, Canada[J]. Can J Forest Res, 2002, 32(5): 903-914. doi: 10.1139/x02-023
[12]	CIENCIALA E, EXNEROVA Z, MACKU J, et al. Forest top-soil organic carbon content in Southwest Bohemia region[J]. J Forest Sci, 2006, 52(9): 387-398.
[13]	CHENG H, OUYANG C, HAO F X. The non-point source pollution in livestock-breeding areas of the Heihe River basin in Yellow River[J]. Stoch Environ Res Risk Assess, 2007, 21(3): 213-221. doi: 10.1007/s00477-006-0057-2
[14]	CHIEW F H S, STEWARDSON M J, MCMAHON T A. Comparison of six rainfall-runoff modelling approaches[J]. J Hydrol, 1993, 147(1/2/3/4): 1-36.
[15]	HUNTINGTON T G, JOHNSON C E, JOHNSON A H, et al. Carbon, organic matter, and bulk density relationships in a forested spodosol[J]. Soil Sci, 1989, 148(5): 380-386. doi: 10.1097/00010694-198911000-00009
[16]	PRÉVOST M. Predicting soil properties from organic matter content following mechanical site preparation of forest soils[J]. Soil Sci Soc Am J, 2004, 68(3): 943-949. doi: 10.2136/sssaj2004.9430
[17]	何志斌, 赵文智, 刘鹄, 等.祁连山青海云杉林斑表层土壤有机碳特征及其影响因素[J].生态学报, 2006, 26(8):2572-2580. doi: 10.3321/j.issn:1000-0933.2006.08.020
[18]	曹丽花, 刘合满, 赵世伟.退化高寒草甸土壤有机碳分布特征及与土壤理化性质的关系[J].草业科学, 2011, 28(8):1411-1415.
[19]	秦嘉海, 张勇, 赵芸晨, 等.黑河上游冰沟流域4种土壤有机碳分布特征与土壤特性的关系[J].干旱地区农业研究, 2013, 31(5): 200-208. http://d.old.wanfangdata.com.cn/Periodical/ghdqnyyj201305034
[20]	徐欢欢, 曾从盛, 王维奇, 等.艾比湖湿地土壤有机碳垂直分布特征及其影响因子分析[J].福建师范大学学报(自然科学版), 2010, 26(5): 86-93. http://d.old.wanfangdata.com.cn/Periodical/fjsfdxxb201005019
[21]	蔡晓布, 周进.退化高寒草原土壤有机碳时空变化及其与土壤物理性质的关系[J].应用生态学报, 2009, 20(11): 2639-2645. http://d.old.wanfangdata.com.cn/Periodical/yystxb200911009
[22]	祖元刚, 李冉, 王文杰, 等.我国东北土壤有机碳、无机碳含量与土壤理化性质的相关性[J].生态学报, 2011, 31(18): 5207-5216. http://d.old.wanfangdata.com.cn/Periodical/stxb201118012
[23]	RUEHLMANN J, KORSCHENS M. Calculating the effect of soil organic matter concentration on soil bulk density[J]. Soil Sci Soc Am J, 2009, 73(3), 876-885. doi: 10.2136/sssaj2007.0149
[24]	WU H B, GUO Z T, PENG C H. Land use induced changes of organic carbon storage in soils of China[J]. Glob Change Biol, 2003, 9(3): 305-315. doi: 10.1046/j.1365-2486.2003.00590.x
[25]	YU Y Y, GUO Z T, WU H B, et al. Spatial changes in soil organic carbon density and storage of cultivated soils in China from 1980 to 2000[J]. Global Biogeochem Cycle, 2009, 23(2): 416-427. doi: 10.1029-2008GB003428/
[26]	LOWTHER J R, SMETHURST P J, CARLYLE J C, et al. Methods for determining organic carbon in podzolic sands[J]. Commun Soil Sci Plant Anal, 1990, 21(5/6): 457-470. doi: 10.1080/00103629009368245
[27]	WESTMAN C J, HYTÖNEN J, WALL A. Loss-on-ignition in the determination of pools of organic carbon in soils of forests and afforested arable fields[J]. Commun Soil Sci Plant Anal, 2006, 37(7/8): 1059-1075. doi: 10.1080/00103620600586292?src=recsys

Cited By

Get Citation

PDF

XML

Article views (1354) PDF downloads (1942)

Turn off MathJax

Article Contents

Abstract

References

Organic carbon, organic matter and bulk density regression models for forest soils in Lanlingxi watershed, Three Gorges Reservoir area

Abstract

References

Catalog

Export File

Citation

Format

Content