TY - JOUR
T1 - Process-based modeling to assess the nutrient removal efficiency of two endangered hydrophytes
T2 - Linking nutrient-cycle with a multiple-quotas approach
AU - Kim, Yongeun
AU - Lee, Yun Sik
AU - Wee, June
AU - Hong, Jinsol
AU - Lee, Minyoung
AU - Kim, Jae Geun
AU - Bae, Yeon Jae
AU - Cho, Kijong
N1 - Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education ( NRF-2020R1I1A1A01074894 , to Y.K.) and the Ministry of Science and ICT ( NRF-2019R1A2C1009812 , to K.C.). This research was also partially supported by a Korea University Grant and an OJERI (Ojeong Resilience Institute) Grant.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Hydrophytes have been widely used to reduce nutrient levels in aquatic ecosystems, but only limited species with high nutrient removal efficiencies have been implemented. Thus, it is necessary to continually explore new candidate species with high nutrient removal efficiencies. To effectively explore the nutrient removal ability of hydrophytes, a new process-based model combining the multiple-quotas approach and nutrient-cycle model was developed. The multiple-quotas approach provides a theoretical framework to conceptually explain the uptake and response of autotrophs to multiple nutrients. The developed process-based model was validated using observational data from microcosm experiments with two emergent hydrophytes, Menyanthes trifoliata and Cicuta virosa. The results showed that both M. trifoliata and C. virosa effectively reduced nitrogen (N) and phosphorus (P) in both water and sediment layers, but M. trifoliata showed a higher removal efficiency for both nutrients than C. virosa, particularly for total ammonia + ammonium-nitrogen (NHx-N) and nitrate-nitrogen (NO3-N) in the sediment layer (M. trifoliata: 0.579–0.976 for NHx-N, 0.567–0.702 for NO3-N; C. virosa: 0.212–0.501 for NHx-N, 0.466–0.560 for NO3-N). In addition, M. trifoliata achieved the maximum removal efficiency for N and P at higher nutrient exposure levels than C. virosa (M. trifoliata: exposure level of 0.725–0.775; C. virosa: exposure level of 0.550–0.575). The developed model well simulated the species-specific growth patterns of hydrophytes depending on the nutrient exposure level as well as the N and P dynamics in the water and sediment layers. The approach adopted in this study provides a useful tool for discovering candidate species to improve hydrophyte diversity and effectively remove nutrients from aquatic ecosystems.
AB - Hydrophytes have been widely used to reduce nutrient levels in aquatic ecosystems, but only limited species with high nutrient removal efficiencies have been implemented. Thus, it is necessary to continually explore new candidate species with high nutrient removal efficiencies. To effectively explore the nutrient removal ability of hydrophytes, a new process-based model combining the multiple-quotas approach and nutrient-cycle model was developed. The multiple-quotas approach provides a theoretical framework to conceptually explain the uptake and response of autotrophs to multiple nutrients. The developed process-based model was validated using observational data from microcosm experiments with two emergent hydrophytes, Menyanthes trifoliata and Cicuta virosa. The results showed that both M. trifoliata and C. virosa effectively reduced nitrogen (N) and phosphorus (P) in both water and sediment layers, but M. trifoliata showed a higher removal efficiency for both nutrients than C. virosa, particularly for total ammonia + ammonium-nitrogen (NHx-N) and nitrate-nitrogen (NO3-N) in the sediment layer (M. trifoliata: 0.579–0.976 for NHx-N, 0.567–0.702 for NO3-N; C. virosa: 0.212–0.501 for NHx-N, 0.466–0.560 for NO3-N). In addition, M. trifoliata achieved the maximum removal efficiency for N and P at higher nutrient exposure levels than C. virosa (M. trifoliata: exposure level of 0.725–0.775; C. virosa: exposure level of 0.550–0.575). The developed model well simulated the species-specific growth patterns of hydrophytes depending on the nutrient exposure level as well as the N and P dynamics in the water and sediment layers. The approach adopted in this study provides a useful tool for discovering candidate species to improve hydrophyte diversity and effectively remove nutrients from aquatic ecosystems.
KW - Cicuta virosa
KW - Emergent hydrophyte
KW - Menyanthes trifoliata
KW - Nutrient cycle
KW - Nutrient removal efficiency
UR - http://www.scopus.com/inward/record.url?scp=85098473651&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2020.144223
DO - 10.1016/j.scitotenv.2020.144223
M3 - Article
C2 - 33373786
AN - SCOPUS:85098473651
SN - 0048-9697
VL - 763
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 144223
ER -