4.7 Article

Depth distribution of ostracods in a large fresh-water lake on the Qinghai-Tibet Plateau and its ecological and palaeolimnological significance

Journal

ECOLOGICAL INDICATORS
Volume 129, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2021.108019

Keywords

Ostracoda (Crustacea); Lake Ngoring; Water depth; Transfer function; Biogeography; China

Funding

  1. National Natural Science Foundation of China [NSFC 41888101, 41991323, 41672163]
  2. Yunnan Provincial Science and Technology Department [202001AV070012, YNWRQNBJ2019295]
  3. Youth Innovation Promotion Association CAS [Y201759]
  4. Key Research Program of the Institute of Geology & Geophysics, Chinese Academy of Sciences [IGGCAS201905]
  5. Strategic Priority Research Program of CAS [XDB26000000]

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This study analyzed sediment samples from Lake Ngoring on the Tibet-Qinghai Plateau to provide depth-preference information of ostracods and establish water-depth transfer functions. The results show that different ostracod species have different depth preferences, which can be used for paleobathymetric reconstruction. Further research is recommended to investigate the distribution of more ostracod species across wider depth ranges to improve paleolimnological reconstruction.
We analyze 31 surface-sediment samples from the depths of 2-33 m in the large fresh-water Lake Ngoring on the northeastern Tibet-Qinghai Plateau to provide depth-preference information of ostracods valuable for palaeobathymetric reconstruction. Among the nine species discovered, Tonnacypris estonica and Ilyocypris echinata show clear preferences to shallow waters while Leucocythere sp. 1 and Cytherissa lacustris are confined to depths exceeding 22 m. Ilyocypris sp., Candoninae sp., and Leucocythere sp. 2 are slightly more abundant in deeper parts of the lake, while Candona candida and Fabaeformiscandona sp. tend to be more abundant in the shallow area. Such information can be used to reconstruct qualitatively the past lake level. Meanwhile, based on 23 forwardselected samples with over 200 valve counts, three water-depth transfer functions are established, which have generally good and comparable performances judged from their determination coefficients and predictive errors. We propose that future studies should endeavor to investigate the distribution of more ostracod species across wider depth ranges from various lakes to encompass the large changes in ostracod assemblage and depth in the geologic past, and that datasets from different lakes can be synthesized into 'mega-transfer functions' to improve palaeolimnological reconstruction.

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