Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016
Investigating the phosphorus (P) sources, pathways, and final sinks are important to reduce P pollution and improve P management. In this study, substance flow analysis (SFA) was performed for P flow analysis from 1995 to 2016 in different crops of Dongying District, a core region of the alluvial de...
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PeerJ Inc.
2022-04-01
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| Online Access: | https://peerj.com/articles/13274.pdf |
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| author | Huan He Lvqing Zhang Hongwei Zang Mingxing Sun Cheng Lv Shuangshuang Li Liyong Bai Wenyuan Han Jiulan Dai |
| author_facet | Huan He Lvqing Zhang Hongwei Zang Mingxing Sun Cheng Lv Shuangshuang Li Liyong Bai Wenyuan Han Jiulan Dai |
| author_sort | Huan He |
| collection | DOAJ |
| description | Investigating the phosphorus (P) sources, pathways, and final sinks are important to reduce P pollution and improve P management. In this study, substance flow analysis (SFA) was performed for P flow analysis from 1995 to 2016 in different crops of Dongying District, a core region of the alluvial delta at the estuary of the Yellow River. The results showed that P input steadily increased from 1.48 × 104 t in 1995 to 2.16 × 104 t in 2007, and then decreased from 1.90 × 104 t in 2010 to 1.78 × 104 t in 2016. Chemical fertilizers made the highest contribution to P input. The cotton with the highest P load was on the top of P load risk ranks. More importantly, this study applied the Partial Least Squares Path Modeling (PLS-PM) model for P flow analysis and established the numerical relationship between the variables (including fertilizers, straws return-to-field, harvested grains, discarded straw, and P erosion and runoff), P use efficiency (PUE) and P load. The analysis revealed that fertilizer and crop production are the key factors affecting the PUE. Therefore, optimizing the use of P-fertilizer whilst maintaining yields can be an effective strategy to improve the local region PUE. |
| first_indexed | 2024-03-09T06:41:48Z |
| format | Article |
| id | doaj.art-e56a2469f07c434fb059c38828390a40 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:41:48Z |
| publishDate | 2022-04-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj.art-e56a2469f07c434fb059c38828390a402023-12-03T10:49:40ZengPeerJ Inc.PeerJ2167-83592022-04-0110e1327410.7717/peerj.13274Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016Huan He0Lvqing Zhang1Hongwei Zang2Mingxing Sun3Cheng Lv4Shuangshuang Li5Liyong Bai6Wenyuan Han7Jiulan Dai8Environment Research Institute, Shandong University, QingDao, ChinaState Key Laboratory of Agricultural Microbiology and College of Life Science and Tech-nology, Huazhong Agricultural University, WuHan, ChinaYantai Academy of Agricultural Sciences, YanTai, ChinaChinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, BeiJing, ChinaEnvironment Research Institute, Shandong University, QingDao, ChinaEnvironment Research Institute, Shandong University, QingDao, ChinaEnvironment Research Institute, Shandong University, QingDao, ChinaState Key Laboratory of Agricultural Microbiology and College of Life Science and Tech-nology, Huazhong Agricultural University, WuHan, ChinaEnvironment Research Institute, Shandong University, QingDao, ChinaInvestigating the phosphorus (P) sources, pathways, and final sinks are important to reduce P pollution and improve P management. In this study, substance flow analysis (SFA) was performed for P flow analysis from 1995 to 2016 in different crops of Dongying District, a core region of the alluvial delta at the estuary of the Yellow River. The results showed that P input steadily increased from 1.48 × 104 t in 1995 to 2.16 × 104 t in 2007, and then decreased from 1.90 × 104 t in 2010 to 1.78 × 104 t in 2016. Chemical fertilizers made the highest contribution to P input. The cotton with the highest P load was on the top of P load risk ranks. More importantly, this study applied the Partial Least Squares Path Modeling (PLS-PM) model for P flow analysis and established the numerical relationship between the variables (including fertilizers, straws return-to-field, harvested grains, discarded straw, and P erosion and runoff), P use efficiency (PUE) and P load. The analysis revealed that fertilizer and crop production are the key factors affecting the PUE. Therefore, optimizing the use of P-fertilizer whilst maintaining yields can be an effective strategy to improve the local region PUE.https://peerj.com/articles/13274.pdfPhosphorusSubstance flow analysisDongying districtPhosphorus managementCrops |
| spellingShingle | Huan He Lvqing Zhang Hongwei Zang Mingxing Sun Cheng Lv Shuangshuang Li Liyong Bai Wenyuan Han Jiulan Dai Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 PeerJ Phosphorus Substance flow analysis Dongying district Phosphorus management Crops |
| title | Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 |
| title_full | Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 |
| title_fullStr | Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 |
| title_full_unstemmed | Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 |
| title_short | Phosphorus flow analysis of different crops in Dongying District, Shandong Province, China, 1995–2016 |
| title_sort | phosphorus flow analysis of different crops in dongying district shandong province china 1995 2016 |
| topic | Phosphorus Substance flow analysis Dongying district Phosphorus management Crops |
| url | https://peerj.com/articles/13274.pdf |
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