Understanding Farmers’ Behaviors and Driving Factors Toward Phosphorus Security of Crop Farming in Chaohu Watershed, China
Huijun Wu 1  
,   Zhouman Huang 2  
,   Liangmin Gao 1  
,   Haoran Li 1  
,   Tao Yang 1  
,   Jinxiang Yang 1  
,   Xiaolong Li 1  
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School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China
Shool of Life Science, WuChang University of Technology, Wuhan 430223, China
Huijun Wu   

School of Earth and Environment, Anhui University of Science and Technology, No. 168 Taifeng Road, 232001, Huainan, China
Submission date: 2020-04-18
Final revision date: 2020-08-12
Acceptance date: 2020-08-18
Online publication date: 2020-12-10
Phosphorus (P) is not only an essential nutrient required for plant growth, but also a pollutant with eutrophication. This brings a significant challenge to farmers, the main executive agent of farming. The study develops a model to determine farmers’ behaviors impacting P security of farming, and analyzes drivers of these behaviors. The results illustrate the farmers’ behaviors including sowing method, application of compound fertilizer, application of phosphate fertilizer, harvesting method, application of seed, and disposal of livestock manure have greatly impacted the P security in the farming system, in turn. Concerning with the factors obviously driving these key behaviors, farmers’ income, prices of goods, application skill, acceptance of skill training, mechanization level, and regulation of waste disposal, etc. are explored, which are classified into four categories: market and purchasing, personal characteristics, planting condition, and regulation. Thus, the study highlights the opportunities for managing P, including improving mechanization level, raising farmers’ environmental awareness, increasing efficiency of fertilizer application, optimizing planting condition, and improving capacity of waste treatment. Moreover, conducting further research on impact mechanism from various stakeholders, more environmental impacts, large temporal and spatial scales, and high quality of data may be necessary in the future.