Evidence map›Paper›PMID 41957516›Full record

ArticleScientific reports2026

Phosphorus loss risk assessment across cropping systems using the phosphorus surplus index method at the watershed level: a case study from the Erhai Lake Basin.

Mingmin Li, Shan Yang, Wenchao Li, Jiashun Dou, Shichen Li, Wei Zhang, Junsong Wang, Zhengxiong Zhao

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Mingmin LiCollege of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Shan YangCollege of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Wenchao LiCollege of Resources and Environmental Sciences, State Key Laboratory of North China Crop Improvement and Regulation, Hebei Province Key Laboratory for Farmland Eco-Environment, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Jiashun DouResearch Center of Erhai Lake, Dali, 671000, Yunnan, China.
Shichen LiCollege of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Wei ZhangCollege of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Junsong WangYunnan Key Laboratory of Pollution Process and Management of Plateau Lake- Watershed, Yunnan Research Academy of Eco-Environmental Sciences, Kunming, 650034, Yunnan, China.
Zhengxiong ZhaoCollege of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, Yunnan, China. zhaozx0801@163.com.

Funding

the National Natural Science Foundation of China Joint Fund Key Support Project U2102207the Yunnan Key Research And Development Plan 202403AC100036the Yunnan Province Major Science and Technology Project 202202AE090034the Yunnan Province's Provincial and Municipal Integration Special Project 202202AH210007
6 · The paper itself

Abstract

Despite the implementation of various field-level measures to mitigate phosphorus loss from agricultural land, effective control at the watershed scale remains challenging due to the complexity of influencing factors. To address this gap, an improved phosphorus surplus index was incorporated into the traditional index method as the primary source factor. Using Erhai Lake in China as a case study, a phosphorus loss risk assessment system tailored to cropping systems in plateau lake basins was developed. Control strategies for reducing phosphorus loss were evaluated using machine learning techniques, scenario analysis, and runoff plot experiments. In the vegetable continuous cropping system, 73% of the area was classified as high-risk, which is 709.2% higher than that of the rice-rapeseed rotation system. The primary factors influencing phosphorus loss risk were the distance between phosphorus sources and nearby rivers, followed by soil erosion. Optimized fertilization (reducing nitrogen and phosphorus inputs by 25% and increasing potassium input by 25% relative to conventional practices) significantly reduced phosphorus loss risk in the rice-rapeseed rotation system. In contrast, optimized fertilization had a limited effect in the vegetable continuous cropping system, where the most effective control measure was establishing a 500 m fertilizer-free buffer zone along riverbanks. These results provide a scientific basis for nutrient management and non-point source pollution control and offer a useful reference for developing phosphorus loss risk assessment systems in other lake basins.

Indexed as

Control strategyCropping systemsLake basinMachine learningPhosphorus loss riskPhosphorus surplus index

Identifiers

PMID41957516
PMCPMC13223268

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