Human activities cause nitrogen (N) and phosphorus (P) losses to the air and water in plateau lake basins such as Lake Erhai. However, the spatial distribution of N and P losses to air and water, and their sources remains insufficiently understood, hindering effective pollution control. Here, we aim to better understand the impact of current N and P management practices in agricultural production and sewage systems on nutrient losses from land to air, rivers, and Lake Erhai in a spatially explicit way. We developed a modeling framework by integrating the substance flow analysis and MARINA-Lakes model, taking the Lake Erhai basin as a case study. Results show that seven out of 26 sub-basins are hotspots for nutrient losses to air (N) and/or water (N and P). For air, hotspots contribute to around 2900 tons, accounting for around 85% of agricultural N losses, of which two-thirds are from livestock production. For water, hotspots account for over 80% of the total nutrient exports. Agricultural land covers only 24% of the total drainage area but contributes to nearly 75% of the total river exports of N (2200 tons) and P (112 tons). Less than 50% of the total dissolved N (45%) and total dissolved P (30%) in rivers reach the lake due to in-stream retention. Hotspots based on nutrient losses (tons year -1 ) are in the northern and eastern regions, while the high emission intensity areas (kg km -2 year -1 ) are in the western regions. This calls for source-specific and region-specific reductions to manage the nutrient losses in the Lake Erhai basin. • Seven sub-basins account for over 85% of nitrogen losses to the air in Lake Erhai basin, largely from livestock production. • Seven sub-basins account for over 80% of river exports of nutrients to Lake Erhai. • Agricultural land covers 24% but contributes to around 75% of nutrients exported to Lake Erhai. • In-stream retention removes more than 50% of nutrients before it reaches Lake Erhai. • Source- and region-specific reductions are needed for air and water emission control.
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Chen Zheng
Maryna Strokal
Fanlei Meng
Wageningen University & Research
China Agricultural University
Southwest Forestry University
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Zheng et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69df2a4be4eeef8a2a6af7a0 — DOI: https://doi.org/10.1016/j.ecz.2026.100076
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