数字农科院2.0

Patterns and driving factors of soil organic carbon sequestration efficiency under various manure regimes across Chinese croplands

文献类型： 外文期刊

作者： Ren, Fengling;Zhang, Ruqiang;Sun, Nan;Li, Yalin;Xu, Minggang;Zhang, Fusuo;Xu, Wen

作者机构：

关键词： China 's cropland;Animal manure application;Soil organic carbon;Carbon sequestration efficiency;Random Forest

期刊名称： AGRICULTURE ECOSYSTEMS & ENVIRONMENT

ISSN： 0167-8809

年卷期： 2024 年 359 卷

页码：

收录情况： SCIE（2024版）

摘要： The carbon sequestration efficiency of manure (CSE-manure) is critical for the accurate estimation of manuring-induced changes in soil organic carbon (SOC). However, the mechanisms of large-scale spatiotemporal changes in CSE-manure and their crucial drivers are unclear. To investigate these under various manure regimes, we performed field observation and collected relevant data using 1023 fields across China's main cropland, as well as collected data on high-resolution climate and soil properties. The experimental durations significantly (P < 0.001) affected CSE-manure. The CSE-manure values were 31.4% +/- 13.4 (mean +/- SD), 19.2% +/- 10.3%, and 16.1% +/- 9.4 at the experimental durations of < 10, 10-20, and > 20 years, respectively. In addition, the manure sources significantly affected CSE-manure. The CSE-manure values of the manures from horse (27.9% +/- 19.0) and sheep (26.9% +/- 11.0) and farmyard manure (25.7% +/- 14.8) were higher than those of the manures from pig (19.8% +/- 15.4), poultry (19.1% +/- 10.58), and cattle (23.1% +/- 13.1). The CSE-manure values varied as per the region; the values were higher in North China than in South China. Of all the investigated variables, carbon and nitrogen input from manure, soil bulk density, annual average air temperature and precipitation, and initial SOC and soil clay content were the most important drivers of CSE-manure. The results suggested that carbon sequestration potential was higher in the northeast region. The spatiotemporal CSE-manure values under various climate conditions were predicted using trained machine learning models. Simulation results suggested that by 2100, the rate of decrease in CSE-manure will be higher at RCP (Representative Concentration Pathways) 8.5, and climate change will have a great impact on CSE-manure due to high warming effects.

分类号：

  • 相关文献

[1]Estimation of soil organic carbon stock and its controlling factors in cropland of Yunnan Province, China. Tao SUN,Wen jie TONG,Nai jie CHANG,Ai xing DENG,Zhong long LIN,Xing bing FENG,Jun ying LI,Zhen wei SONG. 2022

[2]Both yields of maize and soybean and soil carbon sequestration in typical Mollisols cropland decrease under future climate change: SPACSYS simulation. Liang S.,Sun N.,Longdoz B.,Meersmans J.,Ma X.,Gao H.,Zhang X.,Qiao L.,Colinet G.,Xu M.,Wu L.. 2024

[3]Comparing carbon sequestration efficiency in chemically separated soil organic carbon fractions under long-term fertilization in three major Chinese croplands. Hu Xu,Adnan Mustafa,Lu Zhang,Shaomin Huang,Hongjun Gao,Mohammad Tahsin Karimi Nezhad,Nan Sun,Minggang Xu. 2025

[4]Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest. Fraimout, Antoine,Debat, Vincent,Fellous, Simon,Hufbauer, Ruth A.,Foucaud, Julien,Loiseau, Anne,Estoup, Arnaud,Hufbauer, Ruth A.,Pudlo, Pierre,Marin, Jean-Michel,Price, Donald K.,Cattel, Julien,Chen, Xiao,Depra, Marindia,Duyck, Pierre Francois,Guedot, Christelle,Kenis, Marc,Kimura, Masahito T.,Loeb, Gregory,Martinez-Sanudo, Isabel,Pascual, Marta,Richmond, Maxi Polihronakis,Shearer, Peter,Singh, Nadia,Tamura, Koichiro,Zhang, Jinping.

[5]Rapid classification of peanut varieties for their processing into peanut butters based on near‐infrared spectroscopy combined with machine learning. Hongwei Yu,Sara W. Erasmus,Qiang Wang,Hongzhi Liu,Saskia M. van Ruth. 2023

[6]Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs. Yang Liu,Haikuan Feng,Jibo Yue,Yiguang Fan,Xiuliang Jin,Xiaoyu Song,Hao Yang,Guijun Yang. 2022

[7]Characterization and discrimination of the flavor profiles of Chinese indigenous sheep breeds via electronic sensory, smart instruments and chemometrics. Can Xiang,Shaobo Li,Dequan Zhang,Caiyan Huang,Yingxin Zhao,Xiaochun Zheng,Zhenyu Wang,Li Chen. 2023

[8]Comparing Machine Learning Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries. Wu N.,Crusiol L.G.T.,Liu G.,Wuyun D.,Han G.. 2023

[9]Statistical analysis of nitrogen use efficiency in Northeast China using multiple linear regression and Random Forest. Ying xia LIU,Gerard B.M. HEUVELINK,Zhanguo BAI,Ping HE,Rong JIANG,Shao hui HUANG,Xin peng XU. 2022

[10]Machine learning technique combined with data fusion strategies: A tea grade discrimination platform. Qianqian Li,Chaoyang Zhang,Huawei Wang,Shengfan Chen,Wei Liu,Yi Li,Jianxun Li. 2023

[11]Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes. Tian Xia,Zhen He,Zhiwen Cai,Cong Wang,Wenjing Wang,Jiayue Wang,Qiong Hu,Qian Song. 2022

[12]A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management. Sun X.,Yuan L.,Tao S.,Liu M.,Li D.,Zhou Y.,Shao H.. 2022

[13]An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems. Zhiwen Cai,Qiong Hu,Xinyu Zhang,Jingya Yang,Haodong Wei,Zhen He,Qian Song,Cong Wang,Gaofei Yin,Baodong Xu. 2022

[14]A framework for generating high spatiotemporal resolution land surface temperature in heterogeneous areas. Xinming Zhu,Xiaoning Song,Pei Leng,Xiaotao Li,Liang Gao,Da Guo,Shuohao Cai. 2021

[15]Authentication of apples from the Loess Plateau in China based on interannual element fingerprints and multidimensional modelling. Jianyi Zhang,Youming Shen,Ning Ma,Guofeng Xu. 2023

[16]A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy. Majid Kiavarz,Mohammad Karimi Firozjaei,Seyed Kazem Alavipanah,Quazi K. Hassan,Yoann Malbéteau,Si Bo Duan. 2022

[17]Identifying the Influencing Factors of Plastic Film Mulching on Improving the Yield and Water Use Efficiency of Potato in the Northwest China. Juzhen Xu,Yanbo Wang,Yuanquan Chen,Wenqing He,Xiaojie Li,Jixiao Cui. 2023

[18]Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression. Yang Liu,Haikuan Feng,Jibo Yue,Yiguang Fan,Xiuliang Jin,Yu Zhao,Xiaoyu Song,Huiling Long,Guijun Yang. 2022

[19]Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery. Xiao Jia,Dameng Yin,Yali Bai,Xun Yu,Yang Song,Minghan Cheng,Shuaibing Liu,Yi Bai,Lin Meng,Yadong Liu,Qian Liu,Fei Nan,Chenwei Nie,Lei Shi,Ping Dong,Wei Guo,Xiuliang Jin. 2023

[20]Spatial-Temporal Characteristics and Driving Forces of Aboveground Biomass in Desert Steppes of Inner Mongolia, China in the Past 20 Years. Wu, Nitu,Liu, Guixiang,Wuyun, Deji,Yi, Bole,Du, Wala,Han, Guodong. 2023

作者其他论文 更多>>