Numerical Simulation of Future Overturn and Ecosystem Impacts for Deep Lakes in Japan

Kitazawa, Daisuke

doi:10.1002/9781118470596.ch8

Cited by 1 publication

(4 citation statements)

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“…Because of missing environmental data at several survey sites (Figure 1), the environmental conditions were reproduced using a lake ecosystem model (Kitazawa, 2013; Kitazawa & Kumagai, 2007). This model comprises two components—the hydrodynamic submodel and the low‐trophic (planktonic) ecosystem submodel—to explicitly solve fluid dynamics and water quality, including water temperature and DO concentration.…”

Section: Methodsmentioning

confidence: 99%

“…The present study adopted a uniformly staggered grid system of 1000 m in the horizontal direction and 2.5 m in the vertical direction, where geographic data are obtained from the Shiga Prefectural government. For boundary conditions, river conditions were kept the same as in previous practice (Kitazawa, 2013). The only changeable boundary condition was the meteorological input that reflected climate change, with more detailed explanations in a later section.…”

Section: Methodsmentioning

confidence: 99%

“…The only changeable boundary condition was the meteorological input that reflected climate change, with more detailed explanations in a later section. The other model descriptions refer to previous studies, including the differencing scheme for numerical solutions, model parameterization, and model setup (Kitazawa, 2013). Although the lake ecosystem model has been validated (Kitazawa, 2013), reconfirmation was conducted by comparing the simulation results with the survey results at six sites (Appendix S1: Figure S1).…”

Section: Lake Ecosystem Modelmentioning

confidence: 99%

“…The other model descriptions refer to previous studies, including the differencing scheme for numerical solutions, model parameterization, and model setup (Kitazawa, 2013). Although the lake ecosystem model has been validated (Kitazawa, 2013), reconfirmation was conducted by comparing the simulation results with the survey results at six sites (Appendix S1: Figure S1). Finally, the validated simulation results, water temperature, DO concentration, and water depth were used for further correlative analysis.…”

Section: Lake Ecosystem Modelmentioning

confidence: 99%

See 3 more Smart Citations

Opposite trends in environmental DNA distributions of two freshwater species under climate change

Wu,

Zhou,

Komoto

et al. 2023

Ecosphere

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Changes in the thermal structure of lake ecosystems have been documented as a response to climate change, but the dynamics of biomass distribution, which fundamentally determines species conservation, has been less studied. An interdisciplinary approach was used to demonstrate the influence of climate‐driven changes on the environmental DNA (eDNA) distribution of two species (Gymnogobius isaza and Palaemon paucidens) in Lake Biwa, the largest monomictic lake in Japan. In field surveys in 2016–2017 (full water circulation) and 2019 (partial water circulation), eDNA concentrations of these species were measured for 43 and 47 samples, respectively, collected from the lake bottom. The correlative relationship was investigated between species' eDNA concentrations and environmental variables. The species–environment relationship was then applied to species' eDNA distributions under existing and future environments calculated by a lake ecosystem model. Based on differences in the estimated eDNA distributions, we suggest that different species respond differently to climate change. The distribution of G. isaza will expand in the future if full water circulation occurs, although it appears to be independent of water circulation at present. Partial water circulation enlarges the distribution area of P. paucidens, but its eDNA concentrations will be low in the future, regardless of the extent of water circulation. These results indicate that species such as P. paucidens, which is now abundant but vulnerable to climate change, require special attention. Furthermore, our study emphasizes the potential application of interdisciplinary methodologies for improved species conservation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%