黄土高原不同地貌类型区农田土壤有机碳采样布点方法研究

doi:10.11849/zrzyxb.20170477

自然资源学报 ›› 2018, Vol. 33 ›› Issue (4): 634-643.doi: 10.11849/zrzyxb.20170477

黄土高原不同地貌类型区农田土壤有机碳采样布点方法研究

张圣民¹, 许明祥^1,2,*, 张志霞², 李彬彬¹

1.西北农林科技大学林学院,陕西杨凌 712100;
2.中国科学院水利部水土保持研究所,黄土高原土壤侵蚀与旱地农业国家重点实验室,陕西杨凌 712100

收稿日期:2017-05-17 修回日期:2017-11-17 出版日期:2018-04-10 发布日期:2018-04-10
通讯作者: 许明祥（1972- ）,男,陕西吴起人,研究员,主要从事土壤质量演变与调控研究。E-mail:xumx@nwsuaf.edu.cn
作者简介:张圣民（1992- ）,男,山东泰安人,硕士研究生,主要从事黄土高原农田土壤有机碳研究。E-mail: 626188325@qq.com
基金资助:
科技基础性工作专项（2014FY210100）;国家重点研发计划课题（2017YFC0506503）

Methods of Sampling Soil Organic Carbon in Farmlands with Different Landform Types on the Loess Plateau

ZHANG Sheng-min¹, XU Ming-xiang^1,2, ZHANG Zhi-Xia², LI Bin-bin¹

1.College of Forestry, Northwest A & F University, Yangling 712100, China;
2. State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Yangling 712100, China

Received:2017-05-17 Revised:2017-11-17 Online:2018-04-10 Published:2018-04-10
Supported by:
Science and Technology Basic Work, No. 2014FY210100;National Key R & D Program of China, No. 2017YFC0506503.

摘要/Abstract

摘要： 采样设计是土壤有机碳研究中面临的首要问题。论文对黄土高原不同地貌类型区农田土壤有机碳进行抽样样本代表性评价,对比分析了不同采样方法的样点布设效率,结果表明：1）高塬区合理采样布点方法应为网格布点法,采样点布设格网间隔4 km,网格布点法较随机布点法和联合单元布点法效率分别提高64.3%和31.8%;2）平原区合理采样布点方法应为网格布点法,采样点布设格网间隔2 km,网格布点较随机布点和联合单元布点效率分别提高64.8%和128.8%;3）丘陵区合理采样布点方法应为联合单元布点法,样点布设密度为1个/1 314 hm²,联合单元布点较随机布点和网格布点效率分别提高205.8%和294.2%。

关键词: 布点效率, 采样布点方法, 土壤有机碳, 样本代表性

Abstract: Sampling design is a critical issue in soil organic carbon research. In this paper, the purpose was to find out the most appropriate sampling method among various sampling designs in farmlands with different landform types. We used the sample representative evaluation in classical statistics to compare the efficiency of most commonly used sampling methods, including random distribution, grid sampling design and joint unit method. The representative samples of soil organic carbon in farmlands with different landform types on the Loess Plateau were evaluated. The results demonstrated that: 1) A reasonable sampling method for Ning County in the upland area of Loess Plateau was grid sampling design with a suggested grid interval of 4 km. The efficiency of grid sampling design was 64.3% and 31.8% higher than the efficiency of random distribution method and joint unit method, respectively. 2) A reasonable sampling method for Wugong County in the plain area of the Loess Plateau was also grid sampling design with a suggested sampling interval of 2 km. The efficiency of grid sampling method was 64.8% and 128.8% higher than the efficiency of random distribution method and joint unit method, respectively. 3) The reasonable sampling method was joint unit layout method in the hilly and gully region of the Loess Plateau, such as in Zhuanglang County. The suggested density of the joint unit layout method in this area was 1 unit/1 314 hm², and the efficiency of joint unit distribution was 205.8% and 294.2% higher than the efficiency of random distribution and grid distribution, respectively.

Key words: representative of samples, sampling design, sampling efficiency, soil organic carbon

中图分类号:

S153.6

张圣民, 许明祥, 张志霞, 李彬彬. 黄土高原不同地貌类型区农田土壤有机碳采样布点方法研究[J]. 自然资源学报, 2018, 33(4): 634-643.

ZHANG Sheng-min, XU Ming-xiang, ZHANG Zhi-Xia, LI Bin-bin. Methods of Sampling Soil Organic Carbon in Farmlands with Different Landform Types on the Loess Plateau[J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(4): 634-643.

参考文献

[1] KIRSCHBAUM M U F. Will changes in soil organic carbon act as a positive or negative feedback on global warming[J]. Biogeochemistry, 2000, 48(1): 21-51.
[2] HOUGHTON R A.Balancing the global carbon budget[J]. Annual Review of Earth and Planetary Sciences, 2007, 35: 313-347.
[3] 孙波, 谢宪丽. 全球变化下土壤功能演变的响应和反馈[J]. 地球科学进展, 2005, 20(8): 903-907.
[SUN B, XIE X L.Response and feedback of soil function evolvement to global change. Advances in Earth Science, 2005, 20(8): 903-907. ]
[4] LIANG S Y, LEHMANN A, WU K N, et al.Planner-Oriented Soil Evaluation in China with TUSEC (Technique for Soil Evaluation and Categorization for Natural and Anthropogenic Soils) [R]. Conference or Workshop Item (Contribution to “Reports of the DBG”), Kommission VIII: Boden in Bildung und Gesellschaft, 2011.
[5] ESWARAN H, BERG E V D, REICH P. Organic carbon in soils of the world[J]. Soil Science Society of America Journal, 1993, 57(1): 192-194.
[6] CHRIS J, CLAIRE M, KEVIN C, et al.Global climate change and soil carbon stocks; predictions from two contrasting models for the turnover of organic carbon in soil[J]. Global Change Biology, 2005, 11: 154-166.
[7] CAO M K, WOODWARD F I.Net primary and ecosystem production and carbon stocks of terrestrial ecosystems and their responses to climate change[J]. Global Change Biology, 1998, 4(2): 185-198.
[8] SONG S P, SHAO Y H, DU Y.Survey of sampling methods[J]. Journal of Data Acquisition and Processing, 2016, 31(3): 452-463.
[9] 张贝尔, 黄标, 赵永寸, 等. 采样数量与空间插值方法对华北平原典型区土壤质量评价空间预测精度的影响[J]. 土壤, 2013, 45(3): 540-547.
[ZHANG B E, HUANG B, ZHAO Y C, et al.Effects of sampling sizes and spatial interpolation method on spatial prediction accuracy of soil fertility quality index in the major grain-producing region of the North China Plain. Soils, 2013, 45(3): 540-547. ]
[10] KERRY R, OLIVER M.Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood[J]. Geoderma, 2004, 140: 383-396.
[11] 潘瑜春, 刘巧芹, 阎波杰, 等. 采样尺度对土壤养分空间空间变异的影响[J]. 土壤通报, 2010, 41(2): 257-262.
[PAN Y C, LIU Q Q, YAN B J, et al.Effects of sampling scale on soil nutrition spatial variability analysis. Chinese Journal of Soil Science, 2010, 41(2): 257-262. ]
[12] 苏晓燕. 采样设计对土壤有机质含量空间预测精度的影响研究 [D]. 南京: 南京师范大学, 2012.
[SU X Y.Study on the Influence of Sampling Design on the Spatial Accuracy of Soil Organic Carbon Content. Nanjing: Nanjing Normal University, 2012. ]
[13] WANG X J, QI F.The effects of sampling design on spatial structure analysis of contaminated soil[J]. The Science of Total Environment, 1998, 224: 29-41.
[14] BRUS D J, SABY N P A. Approximating the variance of estimated means for systematic random sampling, illustrated with data of the French Soil Monitoring Network[J]. Geoderma, 2016, 279: 77-86.
[15] ALLEN D E, PRINGLE M J, PAGE K L, et al.A review of sampling designs for the measurement of soil organic carbon in Australian grazing lands[J]. Rangeland Journal, 2010, 32(2): 227-246.
[16] 叶回春, 黄珊瑜, 张世文, 等. 土壤有机碳空间变异性对采样密度的响应研究[J]. 农业机械学报, 2014, 45(12): 215-223.
[YE H C, HUANG S Y, ZHANG S W, et al.Effects of raindrop energy on runoff, chemicals and sediment transport in red soil type. Transactions of the CSAM, 2014, 45(12): 215-223. ]
[17] 李云辉. 土壤有机质采样点布设及空间插值方法对农用地分等成果的影响研究——以龙海市为例 [D]. 福州: 福建农林大学, 2013.
[LI Y H.Research on the Impact of Soil Organic Matter of Sampling Points Allocation and Spatial Interpolation Method on Agricultural Land Classification Achievements—A Case Study of Longhai City. Fuzhou: Fujian Agriculture and Forestry University, 2013. ]
[18] 杨琳, 朱阿兴, 张淑杰, 等. 土壤制图中多等级代表性采样采样与分层随机采样的对比研究[J]. 土壤学报, 2015, 52(1): 28-37.
[YANG L, ZHU A X, ZHANG S J, et al.A comparative study of multi-grade representative sampling and stratified random sampling for soil mapping. Acta Pedologica Sinica, 2015, 52(1): 28-37. ]
[19] XIONG X.Scale-dependent variability of soil organic carbon coupled to land use and land cover[J]. Soil & Tillage Research, 2016, 160: 101-109.
[20] 郭月峰, 姚云峰, 秦富仓, 等. 地形因子对老哈河流域土壤有机碳的影响[J]. 干旱区资源与环境, 2014, 28(2): 156-161.
[GUO Y F, YAO Y F, FAN F C, et al.Impact of terrain factors on soil carbon in Laoha River Basin. Journal of Arid Resources and Environment, 2014, 28(2): 156-161. ]
[21] 孙文义, 郭胜利, 宋小燕. 地形和土地利用对黄土丘陵沟壑区表层土壤有机碳空间分布影响[J]. 自然资源学报, 2010, 25(3): 443-453.
[SUN W Y, GUO S L, SONG X Y.Effects of topographies and land use on spatial distribution of surface soil orgainc carbon in hilly region on the Loess Plateau. Journal of Natural Resources, 2010, 25(3): 443-453. ]
[22] 张朝生, 章申, 张立成, 等. 长江水系河流沉积物重金属元素含量的计算方法研究[J]. 环境科学学报, 2008, 9(10): 2880-2883.
[ZHANG C S, ZHANG S, ZHANG L C, et al.Calculation of heavy metal contents in sediments of the Changjiang River system. Acta Scientiae Circumstantiae, 2008, 9(10): 2880-2883. ]
[23] 李文华. 社会调查研究中样本的代表性问题探讨[J]. 知识丛林, 2006(9): 157-158.
[LI W H.Discussion on the representation of sample in social investigation. Knowledge of Jungle, 2006(9): 157-158. ]
[24] 张志霞. 黄土高原农田土壤有机碳空间变异性 [D]. 北京: 中国科学院大学, 2014.
[ZHANG Z X.Spatial Variation of Soil Organic Carbon of Croplands on the Loess Plateau. Beijing: University of Chinese Academy of Sciences, 2014. ]
[25] 张晓伟, 许明祥, 师晨迪, 等. 半干旱区县域农田土壤有机碳固存速率及其影响因素——以甘肃庄浪县为例[J]. 植物营养与肥料学报, 2012, 18(5): 1086-1095.
[ZHANG X W, XU M Y, SHI C D, et al.Soil organic carbon sequestration rate and its influencing factors in farmlands of semi-arid regions—A case study in Zhuanglang County, Gansu Province. Journal of Plant Nutrition and Fertilizer, 2012, 18(5): 1086-1095. ]
[26] HEIM A, WEHRLI L, EUGSTER W, et al.Effects of sampling design on the probability to detect soil carbon stock changes at the Swis CarboEurope site Lägeren[J]. Geoderma, 2009, 149(3): 347-354.
[27] VAŠÁT R, HEUVELINK G B M, BORŮVKA L. Sampling design optimization for multivariate soil mapping[J]. Geoderma, 2010, 155(3/4): 147-153.
[28] 周莉, 李保国, 周广胜. 土壤有机碳的主导影响因子及其研究进展[J]. 地球科学进展, 2005, 20(1): 99-105.
[ZHOU L, LI B G, ZHOU G S.Advances in controlling factors of soil organic carbon. Advance in Earth Science, 2005, 20(1): 99-105. ]
[29] 张志霞, 许明祥, 刘京, 等. 黄土高原不同地貌区土壤有机碳空间变异与合理采样数研究[J]. 自然资源学报, 2014, 29(12): 2103-2113.
[ZHANG Z X, XU M X, LIU J, et al.Spatial variation and reasonable sampling number of soil organic carbon under different geomorphic types on the Loess Plateau. Journal of Natural Resources, 2014, 29(12): 2103-2113. ]

黄土高原不同地貌类型区农田土壤有机碳采样布点方法研究

Methods of Sampling Soil Organic Carbon in Farmlands with Different Landform Types on the Loess Plateau

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