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Temperature transfer functions based on freshwater testate amoebae from China
Jean Claude Ndayishimiye1, Lihua Ju1, Hongkai Li2
1Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
European Journal of Protistology
|May 1, 2019
Summary
Freshwater testate amoebae communities in China
Area of Science:
- Ecology
- Environmental Science
- Microbiology
Background:
- Global warming impacts lake and reservoir ecosystems, particularly in the Northern Hemisphere.
- Testate amoebae are sensitive indicators of environmental change in aquatic systems.
Purpose of the Study:
- To investigate the relationship between testate amoebae communities and environmental variables in Chinese lakes and reservoirs.
- To develop transfer functions for reconstructing past water temperatures using testate amoebae data.
Main Methods:
- Analysis of testate amoebae communities and 10 environmental variables from 51 lakes and reservoirs.
- Development of abundance- and biomass-based transfer functions for temperature using Weighted Averaging-Partial Least Squares (WA-PLS) and Modern Analog Technique (MAT).
- Partial Canonical Correspondence Analysis (CCA) to determine the influence of water temperature on testate amoebae communities.
Main Results:
- 169 testate amoebae taxa were identified.
- Water temperature explained a significant portion of the variance in testate amoebae abundance (5.15%) and biomass (5.57%).
- WA-PLS and MAT models showed good performance for abundance-based (RMSEP = 2.87°C, R² = 0.60) and biomass-based (RMSEP = 3.34°C, R² = 0.67) temperature reconstructions, respectively.
Conclusions:
- Freshwater testate amoebae are valuable bioindicators for assessing the ecological integrity and vulnerability of inland aquatic environments.
- Transfer functions developed in this study can aid in reconstructing past thermal conditions in lakes and reservoirs.
- Further research is needed to refine the application of these models for accurate paleoclimate reconstructions.
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