TY - JOUR
T1 - Application of Soil and Water Assessment Tool (SWAT) to evaluate the fates of nitrogenous fertilizer in subtropical mountainous watershed tea farms
AU - Lin, Guan Zhou
AU - Hsu, Shao Yiu
AU - Ho, Chia Chun
AU - Chen, Chi Feng
AU - Huang, Jr Chuan
AU - Lee, Tsung Yu
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/3
Y1 - 2022/3
N2 - Extensive nutrient loss is one of the most challenging issues faced by agricultural production regions worldwide. However, diffuse pollution in the subtropical mountainous watersheds is rarely simulated. A watershed model with regional parameter values is essential for watershed management. In this study, SWAT, one of the most popular models was applied to simulate daily discharge (years of 2008–2014), NO3-N flux (2012–2014), and tea yield (2012–2014) in the Ping-Lin watershed (PLW) of Taiwan, as well as to test the effectiveness of a modified fertilization strategy. The results demonstrated that SWAT was capable of simulating daily discharge variation, daily riverine NO3-N flux, and tea yield in the PLW. NO3-N yield of the tea farm (47 kg/ha/yr) was 9 times higher than that of the forest (5.1 kg/ha/yr). A significant proportion (~ 50%) of the input nitrogen (including dry/wet deposition and fertilizer) infiltrated into the soil, resulting in a poor fertilizer uptake efficiency of the tea tree. It was demonstrated that the modified fertilization strategy (apply fertilizer in small rainfall event, i.e., daily rainfall < 20 mm/day, and not in a single day) could increase the nitrogen uptake and harvest yield of the tea tree by 14% and 4%, respectively, with a 10% reduction in nitrogen input. Furthermore, this strategy significantly reduced the nitrogen yields from surface flow (75%), lateral flow (36%), percolation (50%), and groundwater (48%). A popular model with verified parameter values could help in developing a win–win strategy for both farmers and regulators, thus realizing the goals of sustainable agricultural practices.
AB - Extensive nutrient loss is one of the most challenging issues faced by agricultural production regions worldwide. However, diffuse pollution in the subtropical mountainous watersheds is rarely simulated. A watershed model with regional parameter values is essential for watershed management. In this study, SWAT, one of the most popular models was applied to simulate daily discharge (years of 2008–2014), NO3-N flux (2012–2014), and tea yield (2012–2014) in the Ping-Lin watershed (PLW) of Taiwan, as well as to test the effectiveness of a modified fertilization strategy. The results demonstrated that SWAT was capable of simulating daily discharge variation, daily riverine NO3-N flux, and tea yield in the PLW. NO3-N yield of the tea farm (47 kg/ha/yr) was 9 times higher than that of the forest (5.1 kg/ha/yr). A significant proportion (~ 50%) of the input nitrogen (including dry/wet deposition and fertilizer) infiltrated into the soil, resulting in a poor fertilizer uptake efficiency of the tea tree. It was demonstrated that the modified fertilization strategy (apply fertilizer in small rainfall event, i.e., daily rainfall < 20 mm/day, and not in a single day) could increase the nitrogen uptake and harvest yield of the tea tree by 14% and 4%, respectively, with a 10% reduction in nitrogen input. Furthermore, this strategy significantly reduced the nitrogen yields from surface flow (75%), lateral flow (36%), percolation (50%), and groundwater (48%). A popular model with verified parameter values could help in developing a win–win strategy for both farmers and regulators, thus realizing the goals of sustainable agricultural practices.
KW - Diffuse pollution
KW - Fertilization strategy
KW - Nitrate flux
KW - Sustainable agricultural practices
KW - Taiwan
UR - http://www.scopus.com/inward/record.url?scp=85125213259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125213259&partnerID=8YFLogxK
U2 - 10.1007/s10661-022-09858-0
DO - 10.1007/s10661-022-09858-0
M3 - Article
C2 - 35199201
AN - SCOPUS:85125213259
SN - 0167-6369
VL - 194
JO - Environmental Monitoring and Assessment
JF - Environmental Monitoring and Assessment
IS - 3
M1 - 213
ER -