Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China
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, th...
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KeAi Communications Co., Ltd.
2014-07-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311914608157 |
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| author | Shu-qin SHI Qi-wen CAO Yan-min YAO Hua-jun TANG Peng YANG Wen-bin WU Heng-zhou XU Jia LIU Zheng-guo LI |
| author_facet | Shu-qin SHI Qi-wen CAO Yan-min YAO Hua-jun TANG Peng YANG Wen-bin WU Heng-zhou XU Jia LIU Zheng-guo LI |
| author_sort | Shu-qin SHI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-82d90da85b5c4ce1bdf8e05d97ee6e7f |
| institution | Matheson Library |
| issn | 2095-3119 |
| language | English |
| publishDate | 2014-07-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-82d90da85b5c4ce1bdf8e05d97ee6e7f2025-08-02T12:32:27ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192014-07-0113714861500Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, ChinaShu-qin SHI0Qi-wen CAO1Yan-min YAO2Hua-jun TANG3Peng YANG4Wen-bin WU5Heng-zhou XU6Jia LIU7Zheng-guo LI8School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.ChinaSchool of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaCollege of Management, Tianjin University, Tianjin 300372, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.ChinaKey Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China; Correspondence LI Zheng-guo, Mobile: 13693643096For 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.http://www.sciencedirect.com/science/article/pii/S2095311914608157soil organic matterclimatesocio-economic factorsGWRHeilongjiang Province |
| spellingShingle | Shu-qin SHI Qi-wen CAO Yan-min YAO Hua-jun TANG Peng YANG Wen-bin WU Heng-zhou XU Jia LIU Zheng-guo LI Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China Journal of Integrative Agriculture soil organic matter climate socio-economic factors GWR Heilongjiang Province |
| title | Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China |
| title_full | Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China |
| title_fullStr | Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China |
| title_full_unstemmed | Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China |
| title_short | Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China |
| title_sort | influence of climate and socio economic factors on the spatio temporal variability of soil organic matter a case study of central heilongjiang province china |
| topic | soil organic matter climate socio-economic factors GWR Heilongjiang Province |
| url | http://www.sciencedirect.com/science/article/pii/S2095311914608157 |
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