A novel pattern for predicting the effects of mangrove ecological reconstruction
Mangroves are an integral part of ecological civilization and hold significant importance in achieving carbon neutrality goals.In recent years,numerous conservation and restoration efforts have been undertaken to protect mangrove ecosystems.However,there is currently a lack of predictive methods for comparing and selecting effective conservation measures to guide mangrove ecological reconstruction.Therefore,a novel research approach combining"numerical simulation models"with"classification models"is proposed.In the application of this approach,the hydrodynamic and sedimentary environment of the Zhelin Bay in Guangdong Province was simulated for one year.By considering factors such as flooding time,relative peak bed shear stress,and bed level change,the stressors faced during the process of mangrove colonization were described.And ecological reconstruction effects of mangroves distributed on the inner tidal flats of the Ligang tidal inlet were predicted under four different conditions.The results indicate that restoring the inlet depth slightly alters the regional hydrodynamics and sediment environment,leading to a decrease of 3.12%in the success rate of ecological reconstruction.Elevating the bed elevation significantly reduces flow velocity and intensifies outer-side scouring.Raising the elevation by 0.5 meters and 1.0 meter increases the success rate of ecological reconstruction by 16.43%and 32.75%,respectively.
mangrovesecological restorationnumerical simulationlogistic regressionZhelin Bay
NETL
NSTL
万方数据
