Estimation of soil organic carbon storage based on digital soil mapping technique

doi:10.13287/j.1001-9332.202102.014

Abstract

Abstract: Accurate spatial distribution information of soil properties would be helpful for improving the accuracy of soil organic carbon storage estimation. In this study, terrain factors were used as predictors, and the fuzzy C-means (FCM) clustering method was used to make digital soil prediction mapping for soil organic carbon content, soil bulk density, soil depth, and soil gravel content in Nanshan forest farm in Jiyuan City of Henan Province. Based on the digital mapping results, the prediction mapping of soil organic carbon density and the estimation of soil organic carbon storage were realized. The results showed that the average soil organic carbon density in the study area based on the digital soil mapping method was 4.24 kg·m^-2, the mean error (ME), mean absolute error (MAE) and root mean square error (RMSE) of the prediction map were 0.08, 2.80 and 5.03 kg·m^-2, respectively. The accuracy, stability and reliability of the prediction results were higher than the tradiation methods. The soil organic carbon storage in the study area was estimated to be 3.08×10⁸ kg. Based on the digital soil mapping technology, only a small number of soil samples could be used to map and estimate the soil organic carbon density with high accuracy, which could characterize the spatial distribution characteristics of soil organic carbon density. This study provided a new way to estimate soil organic carbon storage, which would help to improve the accuracy and efficiency of soil organic carbon storage estimation.

Key words: organic carbon density, carbon storage, digital soil mapping, fuzzy C-means clustering

HE Lin-qian, LIU Qian, WANG De-cai, ZHANG Zhi-hua, XU Chang, SHI Meng-yue. Estimation of soil organic carbon storage based on digital soil mapping technique[J]. Chinese Journal of Applied Ecology, 2021, 32(2): 591-600.

References

[1] Xie JX, Li Y, Zhai CX, et al. CO₂ absorption by alkaline soils and its implication to the global carbon cycle. Environmental Geology, 2009, 56: 953-961
[2] 刘魏魏, 王效科, 逯非, 等. 全球森林生态系统碳储量、固碳能力估算及其区域特征. 应用生态学报, 2015, 26(9): 2881-2890 [Liu W-W, Wang X-K, Lu F, et al. Regional and global estimates of carbon stocks and carbon sequestration capacity in forest ecosystems: A review. Chinese Journal of Applied Ecology, 2015, 26(9): 2881-2890]
[3] Lal R. Soil carbon sequestration impacts on global climate change and food security. Science, 2004, 304: 1623-1627
[4] 王绍强, 周成虎, 李克让, 等. 中国土壤有机碳库及空间分布特征分析. 地理学报, 2000, 67(5): 533-544 [Wang S-Q, Zhou C-H, Li K-R, et al. Analysis on spatial distribution characteristics of soil organic carbon reservoir in China. Acta Geographica Sinica, 2000, 67(5): 533-544]
[5] 于建军, 杨锋, 吴克宁, 等. 河南省土壤有机碳储量及空间分布. 应用生态学报, 2008, 19(5): 1058-1063 [Yu J-J, Yang F, Wu K-N, et al. Soil organic carbon storage and its spatial distribution in Henan Pro-vince. Chinese Journal of Applied Ecology, 2008, 19(5): 1058-1063]
[6] 刘亚男, 郗敏, 张希丽, 等. 中国湿地碳储量分布特征及其影响因素. 应用生态学报, 2019, 30(7): 2481-2489 [Liu Y-N, Xi M, Zhang X-L, et al. Carbon storage distribution characteristics of wetlands in China and its influencing factors. Chinese Journal of Applied Ecology, 2019, 30(7): 2481-2489]
[7] 官惠玲, 樊江文, 李愈哲, 等. 海南岛天然草地有机碳分布格局及碳储量估算. 生态环境学报, 2019, 28(6): 1092-1099 [Guan H-L, Fan J-W, Li Y-Z, et al. Estimation of carbon distribution and storage of natural grassland in Hainan Island. Ecology and Environmental Sciences, 2019, 28(6): 1092-1099]
[8] Zhao QG, Li Z, Xia YF. Organic carbon storage in soils of southeast China. Nutrient Cycling in Agroecosystems, 1997, 49: 229-234
[9] Li Z, Jiang X, Pan XZ, et al. Organic carbon storage in soils of tropical and cubtropical China. Water, Air, and Soil Pollution, 2001, 129: 45-60
[10] 陈亮中, 谢宝元, 肖文发, 等. 三峡库区主要森林植被类型土壤有机碳贮量研究. 长江流域资源与环境, 2007, 16(5): 640-643 [Chen L-Z, Xie B-Y, Xiao W-F, et al. Organic carbon storage in soil under the major forest vegetation types in the Three Gorges Reservoir Area. Resources and Environment in the Yangtze Basin, 2007, 16(5): 640-643]
[11] 金峰, 杨浩, 蔡祖聪, 等. 土壤有机碳密度及储量的统计研究. 土壤学报, 2001, 38(4): 522-528 [Jin F, Yang H, Cai Z-C, et al. Calculation of density and reserve of organic carbon in soils. Acta Pedologica Sinica, 2001, 38(4): 522-528]
[12] 薄会娟, 董晓华, 郭梁锋, 等. 湖北省土壤有机碳垂直分布及储量估算. 环境科学与技术, 2018, 41(12): 290-296 [Bo H-J, Dong X-H, Guo L-F, et al. Vertical distribution and storage estimation of soil orga-nic carbon in Hubei Province. Environmental Science & Technology, 2018, 41(12): 290-296]
[13] Chang XF, Bao XY, Wang SP, et al. Simulating effects of grazing on soil organic carbon stocks in Mongolian grasslands. Agriculture, Ecosystems and Environment, 2015, 212: 278-284
[14] 任继周, 林慧龙. 草地土壤有机碳储量模拟技术研究. 草业学报, 2013, 22(6): 280-294 [Ren J-Z, Lin H-L. Study on the simulation methods of grassland soil organic carbon: A review. Acta Prataculturae Sinica, 2013, 22(6): 280-294]
[15] 张杰, 李敏, 敖子强, 等. 中国西部干旱区土壤有机碳储量估算. 干旱区资源与环境, 2018, 32(9): 132-137 [Zhang J, Li M, Ao Z-Q, et al. Estimation of soil organic carbon storage of terrestrial ecosystem in arid western China. Journal of Arid Land Resources and Environment, 2018, 32(9): 132-137]
[16] 杨安广, 苗正红, 邱发富, 等. 基于GIS的三江平原表层土壤有机碳储量估算及空间分布研究. 水土保持通报, 2015, 35(2): 155-158 [Yang A-G, Miao Z-H, Qiu F-F, et al. A study on storage and distribution of soil organic carbon in Sanjiang Plain based on GIS. Bulletin of Soil and Water Conservation, 2015, 35(2): 155-158]
[17] 孙孝林, 赵玉国, 赵量, 等. 应用土壤-景观定量模型预测土壤属性空间分布及制图. 土壤, 2008, 40(5): 837-842 [Sun X-L, Zhao Y-G, Zhao L, et al. Prediction and mapping of spatial distribution of soil attributes by using soil-landscape models. Soils, 2008, 40(5): 837-842]
[18] 朱阿兴, 杨琳, 樊乃卿, 等. 数字土壤制图研究综述与展望. 地理科学进展, 2018, 37(1): 66-78 [Zhu A-X, Yang L, Fan N-Q, et al. The review and outlook of digital soil mapping. Progress in Geography, 2018, 37(1): 66-78]
[19] Lamichhane S, Kumar L, Wilson B. Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review. Geoderma, 2019, 352: 395-413
[20] Arrouays D, McBratney A, Bouma J, et al. Impressions of digital soil maps: The good, the not so good, and making them ever better. Geoderma Regional, 2020, 20, doi: 10.1016/j.geodrs.2020.e00255
[21] 范晓晖, 王德彩, 孙孝林, 等. 南宁市桉树人工林土壤有机碳密度与地形因子的关系. 生态学报, 2016, 36(13): 4074-4080 [Fan X-H, Wang D-C, Sun X-L, et al. Relationships between soil organic carbon density of Eucalyptus plantations and terrain factors in Nanning. Acta Ecologica Sinica, 2016, 36(13): 4074-4080]
[22] Song XD, Liu F, Ju B, et al. Mapping soil organic carbon stocks of northeastern China using expert knowledge and GIS-based methods. Chinese Geographical Science, 2017, 27: 516-528
[23] Wang S, Zhuang Q, Wang Q, et al. Mapping stocks of soil organic carbon and soil total nitrogen in Liaoning Province of China. Geoderma, 2017, 305: 250-263
[24] Paul SS, Coops NC, Johnson MS, et al. Mapping soil organic carbon and clay using remote sensing to predict soil workability for enhanced climate change adaptation. Geoderma, 2020, 363, doi: 10.1016/j.geoderma. 2020.114177
[25] 赵明松, 刘斌寅, 卢宏亮, 等. 基于地理加权回归的地形平缓区土壤有机质空间建模. 农业工程学报, 2019, 35(20): 102-110 [Zhao M-S, Liu B-Y, Lu H-L, et al. Spatial modeling of soil organic matter over low relief areas based on geographically weighted regression. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(20): 102-110]
[26] Zhu AX. A similarity model for representing soil spatial information. Geoderma, 1997, 77: 217-242
[27] 孙孝林, 赵玉国, 张甘霖, 等. 预测性土壤有机质制图中模糊聚类参数的优选. 农业工程学报, 2008, 24(9): 31-37 [Sun X-L, Zhao Y-G, Zhang G-L, et al. Optimization of clustering parameters in predictive mapping of soil organic matter. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(9): 31-37]
[28] 杨琳, 朱阿兴, 秦承志, 等. 运用模糊隶属度进行土壤属性制图的研究——以黑龙江鹤山农场研究区为例. 土壤学报, 2009, 46(1): 9-15 [Yang L, Zhu A-X, Qin C-Z, et al. Soil property mapping using fuzzy membership: A case study of a study area in Heshan farm of Heilongjiang Province. Acta Pedologica Sinica, 2009, 46(1): 9-15]
[29] 王改粉, 赵玉国, 杨金玲, 等. 流域尺度土壤厚度的模糊聚类与预测制图研究. 土壤, 2011, 43(5): 835-841 [Wang G-F, Zhao Y-G, Yang J-L, et al. Prediction and mapping of soil depth at a watershed scale with fuzzy-c-means clustering method. Soils, 2011, 43(5): 835-841]
[30] Karunaratne SB, Bishop TFA, Lessels JS, et al. A space-time observation system for soil organic carbon. Soil Research, 2015, 53: 647-661
[31] Rodríguez Martín JA, Álvaro-Fuentes J, Gonzalo J, et al. Assessment of the soil organic carbon stock in Spain. Geoderma, 2016, 264: 117-125
[32] 张淑杰, 朱阿兴, 刘京, 等. 基于样点的数字土壤属性制图方法及样点设计综述. 土壤, 2012, 44(6): 917-923 [Zhang S-J, Zhu A-X, Liu J, et al. Sample-based Digital Soil Mapping Methods and Related Sampling Schemes. Soils, 2012, 44(6): 917-923]
[33] Odeh IOA, Mcbratney AB, Chittleborough DJ. Soil pattern recognition with fuzzy-c-means: Application to classification and soil-landform interrelationships. Soil Science Society of America Journal, 1992, 56: 505-516
[34] Xie XL, Beni G. A validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13: 841-847
[35] Bruin SD, Stein A. Soil-landscape modelling using fuzzy c-means clustering of attribute data derived from a digital elevation model (DEM). Geoderma,1998, 83: 17-33
[36] 梁启鹏, 余新晓, 庞卓, 等. 不同林分土壤有机碳密度研究. 生态环境学报, 2010, 19(4): 889-893 [Liang Q-P, Yu X-X, Pang Z, et al. Study on soil organic carbon density of different forest types. Ecology and Environmental Sciences, 2010, 19(4): 889-893]
[37] Thompson JA, Pena-Yewtukhiw EM, Grove JH. Soil-landscape modeling across a physiographic region: Topographic patterns and model transportability. Geoderma, 2006, 133: 57-70
[38] 连纲, 郭旭东, 傅伯杰, 等. 黄土丘陵沟壑区县域土壤有机质空间分布特征及预测. 地理科学进展, 2006, 25(2): 112-123 [Lian G, Guo X-D, Fu B-J, et al. Spatial variability and prediction of soil organic matter at county scale on the Loess Plateau. Progress in Geography, 2006, 25(2): 112-123]
[39] 杨谦, 王晓晴, 孙孝林, 等. 基于REML的普通克里格和回归克里格在土壤属性空间预测中的比较. 土壤通报, 2018, 49(2): 283-292 [Yang Q, Wang X-Q, Sun X-L, et al. Comparing prediction accuracies of ordinary kriging and regression kriging with reml in soil properties mapping. Chinese Journal of Soil Science, 2018, 49(2): 283-292]
[40] Simbroek WG, Nachteragele OF, Hebel A, et al. Amounts, dynamics and sequestering of carbon in tropical and subtropical soils. Ambio, 1993, 22: 417-426
[41] 刘世荣, 王晖, 栾军伟. 中国森林土壤碳储量与土壤碳过程研究进展. 生态学报, 2011, 31(19): 5437-5448 [Liu S-R, Wang H, Luan J-W. A review of research progress and future prospective of forest soil carbon stock and soil carbon process in China. Acta Ecologica Sinica, 2011, 31(19): 5437-5448]
[42] 田耀武, 贺春玲, 刘杨, 等. 河南省森林土壤有机碳储量及其空间分布格局. 中南林业科技大学学报, 2018, 38(2): 83-89 [Tian Y-W, He C-L, Liu Y, et al. Forest soil organic carbon storage and its spatial distribution pattern in Henan Province. Journal of Central South University of Forestry & Technology, 2018, 38(2): 83-89]
[43] 曾宪勤, 庄严, 张天宇, 等. 北方石质山区表层土壤有机碳密度特征分析——以密云县为例. 资源科学, 2009, 31(4): 669-673 [Zeng X-Q, Zhuang Y, Zhang T-Y, et al. Analysis of soil organic carbon density in the lithoid mountainous area in North China: A case study in Miyun County. Resources Science, 2009, 31(4): 669-673]