Dynamically managing soil phosphorus could halve phosphorus losses from cropland in lake basins

IF 6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Pengqi Liu , Qingwen Shi , Zhuo Chen , Mingyang Wang , Feiyu Ying , Xiaowen Gu , Yuxiao Wu , Zhi Yao , Wen-Feng Cong , Zhengxiong Zhao , Hao Ying
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Abstract

Excessive fertilization leads to the accumulation of phosphorus (P) in the soil, potentially leading to P pollution in water bodies. A key challenge is to provide long-term solutions for sustainable P management to meet environmentally safe levels, meanwhile maintaining high crop yields. Here, we developed a dynamic P management (DPM) strategy that utilizes a P cycling model integrated with machine learning to manage the long-term soil P status and reduce P losses from soil and fertilizers within the safe threshold. We used the Erhai Lake Basin as an example witnessed a substantial increase in P balance, from 20.8 kg ha−1 to 43.6 kg ha−1, with an increase in soil available P by 51 % and total P losses by 63 % between 2010 and 2020. We then estimated the soil P threshold as 34.0 mg kg−1 and 18.9 mg kg−1 on average for the water environmental and agronomic thresholds, respectively. Currently, 90 % of the townships exceed these soil P thresholds. Employing a DPM strategy could achieve an optimal steady-state level of soil P in the basin within 44 years, balancing agronomic and environmental needs and reducing P application and losses by 60 % and 56 %, respectively. This study provides long-term solutions for sustainable P management in lake basins.
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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