TY - JOUR
T1 - Modeling the resilient supply of ecosystem function for climate change adaptive management in Wetland City
AU - Jin, Lilan
AU - Kim, Min
AU - Chon, Jinhyung
N1 - Funding Information:
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1A2B5B01002369 ). This work was supported by the project entitled “ Development of Advanced Science and Technology for Marine Environmental Impact Assessment ” [grant number 20210427 ], funded by the Ministry of Oceans and Fisheries of Korea (MOF) .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/11/15
Y1 - 2022/11/15
N2 - Rapid urbanization causes wetland ecosystem functions to degrade worldwide. This phenomenon negatively affects the resilience of ecosystem functions in the face of unexpected impacts, particularly climate change. An approach is required for combining resilience with management in a Wetland City. This study aims to model the resilience of ecosystem functions for climate change adaptation management in a Wetland City via system dynamics from 2021 to 2100. First, we set a system boundary through expert interviews to identify the main issues in the social-ecological system of a Wetland City. Second, we constructed a social-ecological system of a Wetland City that provides ecosystem function trade-offs between flood control and wildlife habitat provisioning. Then, we simulated the resilience of ecosystem functions according to different climate change adaptative management scenarios. Finally, we determined an appropriate scenario for minimizing the impacts of ecosystem function trade-offs reinforced by climate change. As a result, we recommend that the water level should be managed such that the controlled flood water level ranges from 12 to 14 m and that 30% of the willow areas should be thinned each year. Based on these simulation results, we proposed three climate change adaptive management strategies: considering long-term plans including short-term effects, networking with multiscale community participation, and applying sustainable wetland management to urban planning. Ultimately, this study can contribute to planning and management guidelines for a Wetland City.
AB - Rapid urbanization causes wetland ecosystem functions to degrade worldwide. This phenomenon negatively affects the resilience of ecosystem functions in the face of unexpected impacts, particularly climate change. An approach is required for combining resilience with management in a Wetland City. This study aims to model the resilience of ecosystem functions for climate change adaptation management in a Wetland City via system dynamics from 2021 to 2100. First, we set a system boundary through expert interviews to identify the main issues in the social-ecological system of a Wetland City. Second, we constructed a social-ecological system of a Wetland City that provides ecosystem function trade-offs between flood control and wildlife habitat provisioning. Then, we simulated the resilience of ecosystem functions according to different climate change adaptative management scenarios. Finally, we determined an appropriate scenario for minimizing the impacts of ecosystem function trade-offs reinforced by climate change. As a result, we recommend that the water level should be managed such that the controlled flood water level ranges from 12 to 14 m and that 30% of the willow areas should be thinned each year. Based on these simulation results, we proposed three climate change adaptive management strategies: considering long-term plans including short-term effects, networking with multiscale community participation, and applying sustainable wetland management to urban planning. Ultimately, this study can contribute to planning and management guidelines for a Wetland City.
KW - Ecosystem function trade-offs
KW - Flood control
KW - Social-ecological system
KW - System dynamics
KW - Wildlife habitats
KW - Willow vegetation
UR - http://www.scopus.com/inward/record.url?scp=85137051872&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2022.115788
DO - 10.1016/j.jenvman.2022.115788
M3 - Article
C2 - 36070654
AN - SCOPUS:85137051872
SN - 0301-4797
VL - 322
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 115788
ER -