[1]田耀武,黄志霖,肖文发*,等.三峡库区森林土壤有机碳空间分布模型的建立[J].南京林业大学学报(自然科学版),2014,38(06):011-16.[doi:10.3969/j.issn.1000-2006.2014.06.003]
　TIAN Yaowu,HUANG Zhilin,XIAO Wenfa*,et al.Modelling spatial distribution for forest soil organic carbon inThree Gorges Reservoir Area[J].Journal of Nanjing Forestry University(Natural Science Edition),2014,38(06):011-16.[doi:10.3969/j.issn.1000-2006.2014.06.003]
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三峡库区森林土壤有机碳空间分布模型的建立
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
38
期数:
2014年06期
页码:
011-16
栏目:
专题报道
出版日期:
2014-12-09

文章信息/Info

Title:
Modelling spatial distribution for forest soil organic carbon in Three Gorges Reservoir Area
文章编号:
1000-2006(2014)06-0011-06
作者:
田耀武1; 2; 黄志霖2; 肖文发2*; 马德举3
1. 河南科技大学林学院,河南 洛阳 471003;
2. 中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林生态环境重点实验室,北京 100091;
3. 秭归县林业局,湖北 秭归 443600
Author(s):
TIAN Yaowu1; 2; HUANG Zhilin2;  XIAO Wenfa2*; MA Deju3
1. College of Forestry, Henan University of Science and Technology, Luoyang 471003, China;
2. State Forestry Administration Key Laboratory of Forest Ecology and Environment, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;
3.Zigui County Forestry Bureau of Hubei Province, Zigui 443600, China
关键词:
三峡库区;  森林土壤有机碳;  空间分布模型
Keywords:
Three Gorges Reservoir Area;  forest soil organic carbon;  spatial distribution model
分类号:
S718
DOI:
10.3969/j.issn.1000-2006.2014.06.003
文献标志码:
A
摘要:
森林土壤有机碳(SOC)深度分布模式影响其稳定性,一般下层SOC较上层稳定。笔者选取三峡库区秭归县马尾松林地、退耕林地、针阔混交林地等3类森林类型的黄壤、黄棕壤、石灰土、紫色土等4类土壤类型共12种组合,通过典型地段取样法构建研究区SOC密度的深度分布模型,确立模型参数与土壤性质的回归关系,确定土壤传递函数(PTFs)方程式。结果表明:森林类型仅在土壤表层影响SOC密度,土壤类型对SOC密度影响不显著,土壤质地对各深度层SOC密度影响显著; 黏土表层SOC密度比砂质土高,SOC密度随深度下降的速率受土壤质地和森林类型的影响,黏土SOC下降速率高于砂质土; 通过森林类型和土壤质地信息,构建的模型可以预测SOC深度分布模式; 运用构建的模型估算出三峡库区黑沟小流域30 cm土层内SOC储量约为(5 290.32±74.85)t,0～100 cm土层SOC储量约为(8 280.87±120.98)t,0～30 cm土层SOC储量约占整个剖面层的63.89%。
Abstract:
The stability of forest soil carbon(SOC)at different soil depth profiles showed great discrepancy. It has been found that SOC in the subsoil is more stable than that in the topsoil. The depth distribution of SOC is essential to mitigate the effect of global climate change. Twelve combination plots consisting three forest types(masson pine stand, reforest and mixed forest)and four soil groups(yellow soil, yellow-brown soil, limestone soil, purplish soil)were employed by this study in Zigui county in Three Gorges Reservoir Area. A spatial distribution model for SOC mass density was established by typical sampling method. Applying PTFs(Pedo-Transfer Functions)relating to regression relationships between main parameters of the model and parameters of soil properties were verified. The results showed that forest type had a strong influence on SOC mass density in soil top layer, but soil group no significant. Soil texture determined the SOC density along the whole profile. SOC density near the surface of the profile was remarkably higher in clay textured soils than in sand's. The rate of decline of SOC density with depth depended on texture and forest type. The slower decline of SOC density with depth was in sandy soils than in clay soils. Using forest type and soil texture information, the spatial distribution model could be used to predict the pattern of distribution of SOC density by depth. Applying this established model, the total amount of SOC stored in forest land in Heigou watershed was obtained(5 290.32 ±74.85)t for the top 30 cm and(8 280.87±120.98)t for the top 100 cm. The amount of SOC stored in 0-30 cm accounted for 63.89% of that in whole profile.

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备注/Memo

备注/Memo:
收稿日期:2014-03-31 修回日期:2014-06-24
基金项目:国家林业公益性行业科研专项项目(201104008)
第一作者:田耀武,副教授,博士。*通信作者:肖文发,研究员。E-mail: xiaowenfa@caf.ac.cn。
引文格式:田耀武,黄志霖,肖文发,等. 三峡库区森林土壤有机碳空间分布模型的建立[J]. 南京林业大学学报:自然科学版,2014,38(6):11-16.
更新日期/Last Update: 2014-12-31