数字农科院2.0

Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China

文献类型： 外文期刊

作者： Shi Shu-qin;Cao Qi-wen;Yao Yan-min;Tang Hua-jun;Yang Peng;Wu Wen-bin;Liu Jia;Li Zheng-guo;Xu Heng-zhou

作者机构：

关键词： soil organic matter;climate;socio-economic factors;GWR;Heilongjiang Province

期刊名称： JOURNAL OF INTEGRATIVE AGRICULTURE

ISSN： 2095-3119

年卷期： 2014 年 13 卷 7 期

页码：

收录情况： SCI

摘要： For the scientific management of farmland, it is significant to understand the spatio-temporal variability of soil organic matter and to study the influences of related factors. Using geostatistical theory, GIS spatial analysis, trend analysis and a Geographically Weighted Regression (GWR) model, this study analyzed the response of soil organic matter to climate and socio-economic factors in central Heilongjiang Province during the past 25 years. Second soil survey data of China for 1979-1985, 2005 field sampling data, climate observations and socio-economic data for 1980-2005 were analyzed. First, soil organic matter in 2005 was spatially interpolated using the Co-Kriging method along with auxiliary data sets of soil type and pH. The spatio-temporal variability was then studied by comparison with the 1980s second soil census data. Next, the temporal trends in climate and socio-economic factors over the past 25 years were investigated. Finally, we examined the variation of the response of soil organic matter to climate and socio-economic factors using the GWR model spatially and temporally. The model showed that 53.82% area of the organic matter content remained constant and 29.39% has decreased during the past 25 years. The impact of precipitation on organic matter content is mainly negative, with increasing absolute values of the regression coefficient. The absolute value of regression coefficient of annual average temperature has decreased, and more areas are now under its negative effects. In addition, the areas of positive regression coefficient of annual sunshine hours have northward shifted, with the increasing absolute value of positive coefficient and decreasing absolute value of negative coefficient. The areas of positive regression coefficient of mechanized farming as a socio-economic factor have westward shifted, with the increasing absolute value of negative coefficient and decreasing absolute value of positive coefficient. The area of regions with the positive regression coefficient of irrigation has expanded. The regions with positive regression coefficient of fertilizer use have shrinked. The positive regression coefficient of mulch film consumption has significantly increased. The regression coefficient of pesticide consumption was mainly positive in the west of the study area, while it was negative to the east. Generally, GWR model is capable to investigate the influence of both climatic and socio-economic factors, avoided the insufficiency of other research based on the single perspective of climatic or socio-economic factors. Therefore, we can conclude that GWR model could provide methodological support for global change research and serve as basic reference for cultivated land quality improvement and agricultural decision making.

分类号：

  • 相关文献

[1]我国棉花生产的空间格局演化及集聚因素分析. 揭懋汕,雪燕,薛领. 2015

[2]黑龙江省农业投入对粮食单产影响的研究. 田媛媛,石淑芹,李正国. 2014

[3]Factors affecting the distribution of microplastics in soils of China. Yin Liu,Matthias C. Rillig,Quan Liu,Jingjing Huang,Muhammad Amjad Khan,Xiaohui Li,Qin Liu,Qingqing Wang,Xuesong Su,Linyi Lin,Yang Bai,Genmao Guo,Yi Huang,Yong Sik Ok,Shan Hu,Junfeng Wang,Honggang Ni,Qing Huang. 2023

[4]Identifying the hotspots of nitrate leaching and its key driving factors in the Yellow River Delta using DNDC model. Song, Jiaxin,Chang, Naijie,Tian, Yi,Ding, Wuhan,Kang, Jiahao,Yi, Xiaopei,Tian, Ye,Li, Hu. 2025

[5]Preliminary Study on Prevalence, Risk Factor and Genetic Homogeneity of Porcine Reproductive and Respiratory Syndrome Virus in Registered Pig Farms in Heilongjiang, China. Wang, J.,Wen, H.,Wang, S.,Sun, W.,Shen, N.,Liu, Z.,Liu, Y.,Liu, Y.,Jiang, C.,Cai, X.,Wang, J.,Wen, H.,Wang, S.,Sun, W.,Shen, N.,Liu, Z.,Liu, Y.,Liu, Y.,Jiang, C.,Cai, X.,Sun, G.,Goutard, F.. 2016

[6]Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province. Huang, Pu,Huang, Qing,Wang, Jingtian,Shi, Yuhan. 2025

[7]Aflatoxin contamination of peanuts at harvest in China from 2010 to 2013 and its relationship with climatic conditions. Wu, L. X.,Ding, X. X.,Li, P. W.,Du, X. H.,Zhou, H. Y.,Bai, Y. Zh,Zhang, L. X.,Wu, L. X.,Ding, X. X.,Li, P. W.,Du, X. H.,Wu, L. X.,Ding, X. X.,Li, P. W.,Du, X. H.,Zhang, L. X.,Ding, X. X.,Li, P. W.,Zhou, H. Y.,Bai, Y. Zh,Zhang, L. X.,Ding, X. X.,Li, P. W.,Zhou, H. Y.,Bai, Y. Zh,Zhang, L. X..

[8]Total aboveground plant biomass is more strongly affected by climate than species diversity on a grassland in Liaoning, China. Zhou, C.,Liu, J.,Yang, Y. G.,Sun, Y.,Fang, Y. Z.,Zhang, Q. Q.,Zhou, Y. B.,Wang, Y. N.,Zhou, C.,Yang, Y. F.,Busso, C.,Zhou, Y. B.,Wang, Y. N.,Zhang, Z.,Zhang, Z.,Wang, Z. W.. 2016

[9]GLOBAL WATER VAPOR CONTENT AND VEGETATION CHANGE ANALYSIS BASED ON REMOTE SENSING DATA. Mao, K. B.,Ma, Y.,Zuo, Z. Y.,Liu, Q.,Mao, K. B.,Mao, K. B.,Jiao, Y. Q.,Mao, K. B.,Ma, Y.,Wang, F.,Sun, Z. W.. 2016

[10]Impact of Climate and Grazing on Biomass Components of Eastern Russia Typical Steppe. Leonid, Ubugunov,Yuriy, Rupyshev,Vasiliy, Ubugunov,Oxana, Vishnyakova,Irina, Lavrentieva,Vera, Ubugunova,Hou Xiang-yang,Ren Wei-bo,Ding Yong. 2014

[11]Effects of livestock grazing on soil nitrogen mineralization on Hulunber meadow steppe, China. Yan, R.,Yang, G.,Chen, B.,Wang, X.,Yan, Y.,Xin, X.,Zhu, X.,Bai, K.,Li, L.,Rong, Y.,Hou, L..

[12]Plant species diversity is correlated with climatic factors differently at the community and the functional group levels: A case study of desert steppe in Inner Mongolia, China. Zhang, Q.,Niu, J.,Zhou, Y.,Kang, S.,Ma, W.,Zhang, Q.,Wu, J.,Buyantuev, A.,Niu, J.,Wu, J.,Wu, J.,Buyantuev, A.,Niu, J.,Ding, Y..

[13]Predicting soil fauna effect on plant litter decomposition by using boosted regression trees. Zhang, Weidong,Yuan, Shufen,Wang, Silong,Zhang, Weidong,Wang, Silong,Yuan, Shufen,Hu, Ning,Lou, Yilai.

[14]Climate, soil texture, and soil types affect the contributions of fine-fraction-stabilized carbon to total soil organic carbon in different land uses across China. Cai, Andong,Zhang, Wenju,Xu, Minggang,Feng, Wenting.

[15]Adaptation of agriculture to warming in Northeast China. Yang, Xiu,Lin, Erda,Ma, Shiming,Ju, Hui,Guo, Liping,Xiong, Wei,Li, Yue,Xu, Yinlong.

[16]Will elevated CO2 enhance mineral bioavailability in wetland ecosystems? Evidence from a rice ecosystem. Zhang, Weijian,Guo, Jia,Guo, Jia,Zhang, Weijian,Zhang, Mingqian,Zhang, Li,Bian, Xinmin.

[17]Diffuse nutrient losses and the impact factors determining their regional differences in four catchments from North to South China. Zhang, Yongyong,Zhou, Yujian,Shao, Quanxi,Liu, Hongbin,Lei, Qiuliang,Zhai, Xiaoyan,Zhai, Xiaoyan,Wang, Xuelei.

[18]Agricultural vulnerability and adaptation in developing countries: the Asia-Pacific region. Luo, QY,Lin, E.

[19]Adjusting maize plant density to different climatic conditions across a large longitudinal distance in China. Xu, Wenjuan,Liu, Chaowei,Zhang, Guoqiang,Li, Shaokun,Wang, Keru,Xie, Ruizhi,Ming, Bo,Liu, Guangzhou,Fan, Panpan,Li, Shaokun,Hou, Peng,Wang, Yonghong,Zhao, Rulang.

[20]Remote sensing of crop production in China by production efficiency models: models comparisons, estimates and uncertainties. Tao, FL,Yokozawa, M,Zhang, Z,Xu, YL,Hayashi, Y.

作者其他论文 更多>>