|
Special Issue:
农业生态环境-有机碳与农业废弃物还田合辑Agro-ecosystem & Environment—SOC
|
|
|
|
| Estimation of soil organic carbon stock and its controlling factors in cropland of Yunnan Province, China |
| SUN Tao1, TONG Wen-jie2, CHANG Nai-jie3, DENG Ai-xing1, LIN Zhong-long4, FENG Xing-bing4, LI Jun-ying2, SONG Zhen-wei1 |
1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Beijing 100081, P.R.China
2 Yunnan Academy of Tobacco Agricultural Sciences, Kunming 650021, P.R.China
3 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
4 China Tobacco Company Yunnan Branch, Kunming 650011, P.R.China
|
|
|
|
|
摘要
基于分布于全省的8637个耕层（0-20 cm）土壤样品有机碳含量和土壤、气象以及农田分布等空间数据，本研究采用随机森林模型的方法绘制了云南省农田1 km分辨率的土壤有机碳分布图，并估算了土壤有机碳总储量。结果表明，云南省农田平均土壤有机碳密度和总储量分别为4.86 kg m-2和337.5 Mt。从空间分布来看，西北与东北地区的土壤有机碳密度相对较高。海拔高度、大气温度、年降水量以及地形湿度指数是影响土壤有机碳密度空间分布最主要的因素，其预测重要性指数分别达19.5%、17.3%、14.5%和9.9%。改善农田管理措施，如推广秸秆还田、优化肥料运筹等，可为提高作物产量、增加土壤固碳、实现云南省农田可持续生产提供有效保障。
Abstract Soil organic carbon (SOC) is the most important indicators of soil quality and health. Identifying the spatial distribution of SOC and its influencing factors in cropland is crucial to understand the terrestrial carbon cycle and optimize agronomic management. Yunnan Province, characterized by mountainous topography and varied elevation, is one of the highest SOC regions in China. Yet its SOC stock of cropland and influencing factors has not been fully studied due to the lack of adequate soil investigation. In this study, the digital mapping of SOC at 1 km resolution and the estimation of total SOC stock in cropland of Yunnan Province was undertaken using 8 637 topsoil (0–20 cm) samples and a series of spatial data through Random Forest (RF) model. It was showed that across the cropland of Yunnan Province, the mean SOC density and total stock were 4.84 kg m–2 and 337.5 Mt, respectively. The spatial distribution indicated that relatively high SOC density regions resided in the northwest and northeast parts of Yunnan Province. Elevation (19.5%), temperature (17.3%), rainfall (14.5%), and Topographic wetness index (9.9%) were the most important factors which controlled spatial variability of SOC density. Agronomic practices (e.g., crop straw treatments, fertilizer management) should be optimized for the sustainable development of crop production with high SOC sequestration capacity in Yunnan Province.
|
|
Received: 16 November 2020
Accepted: 25 December 2020
|
| Fund: This research was funded by the Science and Technology Projects of Yunnan Province, China (2017YN06 and 2018BB019), the Key Research & Development project of Yunnan Province (2018530000241017), the National Natural Science Foundation of China (31671642). |
| About author: SUN Tao, E-mail: suntao1007@126.com; Correspondence SONG Zhen-wei, Tel: +86-10-62128815, E-mail: songzhenwei@caas.cn; LI Jun-ying, E-mail: ljy1250@163.com |
Cite this article:
SUN Tao, TONG Wen-jie, CHANG Nai-jie, DENG Ai-xing, LIN Zhong-long, FENG Xing-bing, LI Jun-ying, SONG Zhen-wei.
2022.
Estimation of soil organic carbon stock and its controlling factors in cropland of Yunnan Province, China. Journal of Integrative Agriculture, 21(5): 1475-1487.
|
Adhikari K, Hartemink A E, Minasny B, Bou K R, Greve M B, Greve M H. 2014. Digital mapping of soil organic carbon contents and stocks in Denmark. PLoS ONE, 9, e105519.
Arunrat N, Pumijumnong N, Sereenonchai S, Chareonwong U. 2020. Factors controlling soil organic carbon sequestration of highland agricultural areas in the Mae Chaem Basin, Northern Thailand. Agronomy, 10, 305.
Beven K J, Kirkby M J. 1979. A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Journal, 24, 43–69.
Breiman L. 2001. Random forests. Machine Language, 45, 5–32.
Castellano M J, Mueller K E, Olk D C, Sawyer J E, Six J. 2015. Integrating plant litter quality, soil organic matter stabilization, and the carbon saturation concept. Global Change Biology, 21, 3200–3209.
Chen D, Chang N, Xiao J, Zhou Q, Wu W. 2019. Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms. Science of the Total Environment, 669, 844–855.
Chen Z, Wang H, Liu X, Zhao X, Lu D, Zhou J, Li C. 2017. Changes in soil microbial community and organic carbon fractions under short-term straw return in a rice–wheat cropping system. Soil & Tillage Research, 165, 121–127.
China Meteorological Administration. 2020. Online meteorological database. National Meteorological Science Data Center. [2020-07-06]. http://data.cma.cn/ (in Chinese)
Davidson E A, Janssens I A. 2006. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature, 440, 165–173.
Duan X, Rong L, Hu J, Zhang G. 2014. Soil organic carbon stocks in the Yunnan Plateau, southwest China: Spatial variations and environmental controls. Journal of Soil and Sediment, 14, 1643–1658.
Fan H, Zhao W, Daryanto S, Fu B, Wang S, Wang Y. 2018. Vertical distributions of soil organic carbon and its influencing factors under different land use types in the desert riparian zone of downstream Heihe River Basin, China. Journal of Geophysical Research (Atmospheres), 123, 7741–7753.
Grimm R, Behrens T, Marker M, Elsenbeer H. 2008. Soil organic carbon concentrations and stocks on Barro Colorado Island — digital soil mapping using Random Forests analysis. Geoderma, 146, 102–113.
IUSS Working Group WRB. 2015. World Reference Base for Soil Resources 2014, Update 2015. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps. World Soil Resources Reports No. 106. Food and Agriculture Organization of the United Nations, Rome, Italy.
Jarecki M K, Lal R. 2003. Crop management for soil carbon sequestration. Critical Reviews in Plant Sciences, 22, 471–502.
Kögel-Knabner I, Guggenberger G, Kleber M, Kandeler E, Kalbitz K, Scheu S, Eusterhues K, Leinweber P. 2008. Organo-mineral associations in temperate soils: integrating biology, mineralogy and organic matter chemistry. Journal of Plant Nutrition and Soil Science, 171, 61–82.
Lal R. 2004. Soil carbon sequestration impacts on global climate change and food security. Science, 304, 1623–1627.
Leifeld J, Bassin S, Fuhrer J. 2005. Carbon stocks in Swiss agricultural soils predicted by land-use, soil characteristics, and altitude. Agricultural, Ecosystems & Environment, 105, 255–266.
Li D F, Shao M A. 2014.Soil organic carbon and influencing factors in different landscapes in an arid region of northwestern China. Catena, 116, 95–104.
Liao Y, Wu W L, Meng F Q, Smith P, Lal R. 2015. Increase in soil organic carbon by agricultural intensification in northern China. Biogeosciences, 12, 1403–1413.
Liu X H, Chen F. 2005. Farming Systems in China. China Agricultural Press, Beijing. (in Chinese)
Lu R K. 2000. Analytical Methods for Soil and Agricultural Chemistry. China Agricultural Science and Technology Press, Beijing, China. (in Chinese)
Office N S S. 1998. Soils of China. China Agricultural Press, Beijing. (in Chinese)
Ou Y, Rousseau A N, Wang L, Yan B. 2017. Spatio-temporal patterns of soil organic carbon and pH in relation to environmental factors - A case study of the Black Soil Region of Northeastern China. Agricultural, Ecosystems & Environment, 245, 22–31.
Pan G X, Smith P, Pan W N. 2009. The role of soil organic matter in maintaining the productivity and yield stability of cereals in China. Agricultural, Ecosystems & Environment, 129, 344–348.
Post W M, Kwon K C. 2010. Soil carbon sequestration and land-use change: Processes and potential. Global Change Biology, 6, 317–327.
Singh S K, Singh A K, Sharma B K, Tarafdar J C. 2007. Carbon stock and organic carbon dynamics in soils of Rajasthan, India. Jouranl of Arid Environments, 68, 408–421.
Sreenivas K, Dadhwal V K, Kumar S, Sri Harsha G, Mitran T, Sunjatha G, Janaki Rama Suresh G, Fyzee M A, Ravisankar T. 2016. Digital mapping of soil organic and inorganic carbon status in India. Geoderma, 269, 160–173.
Sreenivas K, Sujatha G, Sudhir K, Kiran D V, Fyzee M A, Ravisankar T, Dadhwal V K. 2014. Spatial assessment of soil organic carbon density through Random Forests based imputation. Journal of the Indian Society of Remote Sensing, 42, 577–587.
Starr G C, Lal R, Malone R, Hothem D, Owens L, Kimble J. 2000. Modeling soil carbon transported by water erosion processes. Land Degradation & Development, 11, 83–91.
Statistical Bureau of Yunnan Province. 2015. [2018-11-11]. http://stats.yn.gov.cn/tjsj/tjnj/ (in Chinese)
Suuster E, Ritz C, Roostalu H, Kolli R, Astover A. 2012. Modelling soil organic carbon concentration of mineral soils in arable land using legacy soil data. European Journal of Soil Science, 63, 351–359.
Tashi S, Singh B, Keitel C, Adams M. 2016. Soil carbon and nitrogen stocks in forests along an altitudinal gradient in the eastern Himalayas and a meta-analysis of global data. Global Change Biology, 22, 2255–2268.
Thomas A. 1993. The onset of the rainy season in Yunnan Province, PR China and its significance for agricultural operations. International Journal of Biometeorology, 37, 170–176.
Wang S, Zhuang Q, Wang Q, Jin X, Han C. 2017. Mapping stocks of soil organic carbon and soil total nitrogen in Liaoning Province of China. Geoderma, 305, 250–263.
Wang X, Li Y, Gong X, Niu Y, Chen Y, Shi X, Li W. 2019. Storage, pattern and driving factors of soil organic carbon in an ecologically fragile zone of northern China. Geoderma, 343, 155–165.
Watson R T, Noble I R, Bolin B, Ravindranath N H, Verardo D J, Dokken D J. 2000. Land-use, Land-use Change, and Forestry, A Special Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge Unviersity Press, Cambridge, UK.
Were K, Bui D T, Dick Ø B, Singh B R. 2015. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. Ecological Indicators, 52, 394–403.
Wiesmeier M, Barthold F, Blank B, Kögel-Knabner I. 2011. Digital mapping of soil organic matter stocks using random Forest modeling in a semi-arid steppe ecosystem. Plant and Soil, 340, 7–24.
Wiesmeier M, Barthold F, Spörlein P, Geuß U, Hangen E, Reischl A, Schilling B, Angst G, von Lützow M, Kögel-Knabner I. 2014. Estimation of total organic carbon storage and its driving factors in soils of Bavaria (southeast Germany). Geoderma Regional, 1, 67–78.
Wiesmeier M, Hübner R, Barthold F, Spörlein P, Geuß U, Hangen E, Reischl A, Schilling B, von Lützow M, Kögel-Knabner I. 2013. Amount, distribution and driving factors of soil organic carbon and nitrogen in cropland and grassland soils of southeast Germany (Bavaria). Agricultural, Ecosystems & Environment, 176, 39–52.
Wiesmeier M, Urbanski L, Hobley E, Lang B, von Luetzow M, Marin-Spiotta E, van Wesemae B, Rabot E, Liess M, Garcia-Franco N. Wollschläger U, Vogel H, Kögel-Knabner I. 2019. Soil organic carbon storage as a key function of soils - A review of drivers and indicators at various scales. Geoderma, 333, 149–162.
Wu H, Guo Z, Peng C. 2003. Distribution and storage of soil organic carbon in China. Global Biogeochemical Cycles, 17, 1–6.
Wu L, Li L, Ya O Y, Qin F, Guo Y, Gao Y, Zhang M. 2017. Spatial distribution of soil organic carbon and its influencing factors at different soil depths in a semiarid region of China. Environmental Earth Sciences, 76, 654.
Yang R, Zhang G, Liu F, Lu Y, Yang F, Yang F, Yang M, Zhao Y, Li D. 2016. Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem. Ecological Indicators, 60, 870–878.
Yang Y, Fang J, Smith P, Tang Y, Chen A, Ji C, Hu H, Rao S, Tan K, He J S. 2009. Changes in topsoil carbon stock in the Tibetan grasslands between the 1980s and 2004. Global Change Biology, 15, 2723–2729.
Yang Y Y, Wang J H, Yang B F. 2008. Eco-sensitivity assessment of land in Yunnan Province. Acta Ecologica Sinica, 28, 2253–2260. (in Chinese)
Yu D S, Shi X Z, Wang H L, Sun W X, Chen J M, Liu Q H, Zhao Y C. 2007. Regional patterns of soil organic carbon stocks in China. Journal of Environmental Management, 85, 680–689.
Zhang S, Huang Y, Shen C, Ye H, Du Y. 2012. Spatial prediction of soil organic matter using terrain indices and categorical variables as auxiliary information. Geoderma, 171, 35–43.
Zhao B, Li Z, Li P, Xu G, Gao H, Cheng Y, Chang E, Yuan S, Zhang Y, Feng Z. 2017. Spatial distribution of soil organic carbon and its influencing factors under the condition of ecological construction in a hilly-gully watershed of the Loess Plateau, China. Geoderma, 296, 10–17.
Zhao G, Bryan B A, King D, Luo Z, Wang E, Song X, Yu Q. 2013. Impact of agricultural management practices on soil organic carbon: Simulation of Australian wheat systems. Global Change Biology, 19, 1585–1597.
Zhao Y, Wang M, Hu S, Zhang X, Ouyang Z, Zhang G, Huang B, Zhao S, Wu J, Xie D, Zhu B, Yu D, Pan X, Xu S, Shi X. 2018. Economics- and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands. Proceedings of the National Academy of Sciences of the United States of America, 115, 4045–4050.
Zinn Y L, Lal R, Resck D V S. 2005. Texture and organic carbon relations described by a profile pedotransfer function for Brazilian Cerrado soils. Geoderma, 127, 168–173.
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
