Isotopic evidence revealing spatial heterogeneity for source and composition of sedimentary organic matters in Taihu Lake, China. (February 2020)
- Record Type:
- Journal Article
- Title:
- Isotopic evidence revealing spatial heterogeneity for source and composition of sedimentary organic matters in Taihu Lake, China. (February 2020)
- Main Title:
- Isotopic evidence revealing spatial heterogeneity for source and composition of sedimentary organic matters in Taihu Lake, China
- Authors:
- Li, Zhichun
Li, Xiang
Wang, Xuan
Ma, Jie
Xu, Jie
Xu, Xiaoguang
Han, Ruiming
Zhou, Yiwen
Yan, Xingcheng
Wang, Guoxiang - Abstract:
- Graphical abstract: Highlights: δ 13 C and δ 15 N signal ranges of potential SOM sources were different in Taihu Lake. SOM sources presented obvious spatial heterogeneity across Taihu Lake. Isotopic model of Monte Carlo simulations well calculated SOM source proportion. Hydrodynamic force caused the gradient distribution of SOM source contributions. Abstract: Tracing the formation processes of sedimentary organic matter (SOM) pools is crucial for understanding the carbon cycling of lake ecosystems, yet the source and composition of SOM, especially their spatial heterogeneity, in large and shallow lakes are still far from clear. In this study, SOM and its potential organic matter (OM) sources, including terrestrial particulate organic matter (POM), algae and aquatic macrophytes, were systematically investigated in Taihu Lake. We highlight the application of the end-member mixing model (EMM) based on Monte Carlo simulations of δ 13 C and δ 15 N ratios to more precisely depict the spatial heterogeneity for source and composition of SOM in such a large and shallow lake. The isotopically distinct signatures of SOM well displayed its sources obviously corresponded to the observed ecotypes of algae-type lakeshores, macrophyte-type lakeshore and groove in reed-belt. The results of EMM presented the higher proportion of terrestrial POM (46.8%–55.0%) than algae source (13.8%–23.4%) and macrophytes sources (20.0%–30.0%) in sediments from estuary and open water regions. The relativeGraphical abstract: Highlights: δ 13 C and δ 15 N signal ranges of potential SOM sources were different in Taihu Lake. SOM sources presented obvious spatial heterogeneity across Taihu Lake. Isotopic model of Monte Carlo simulations well calculated SOM source proportion. Hydrodynamic force caused the gradient distribution of SOM source contributions. Abstract: Tracing the formation processes of sedimentary organic matter (SOM) pools is crucial for understanding the carbon cycling of lake ecosystems, yet the source and composition of SOM, especially their spatial heterogeneity, in large and shallow lakes are still far from clear. In this study, SOM and its potential organic matter (OM) sources, including terrestrial particulate organic matter (POM), algae and aquatic macrophytes, were systematically investigated in Taihu Lake. We highlight the application of the end-member mixing model (EMM) based on Monte Carlo simulations of δ 13 C and δ 15 N ratios to more precisely depict the spatial heterogeneity for source and composition of SOM in such a large and shallow lake. The isotopically distinct signatures of SOM well displayed its sources obviously corresponded to the observed ecotypes of algae-type lakeshores, macrophyte-type lakeshore and groove in reed-belt. The results of EMM presented the higher proportion of terrestrial POM (46.8%–55.0%) than algae source (13.8%–23.4%) and macrophytes sources (20.0%–30.0%) in sediments from estuary and open water regions. The relative contribution proportions from three potential OM sources statistically correlated with relative contents of clay, silt and sand in sediments. The hydrodynamic force affected the grain size of sediments and drove the gradient distribution of SOM source contributions. These isotopic evidences revealed that aquatic macrophytes, algae bloom, inflow/outflow rivers and hydrodynamic changes could cause the spatial heterogeneity of SOM source and composition in large and shallow eutrophic lakes. … (more)
- Is Part Of:
- Ecological indicators. Volume 109(2020)
- Journal:
- Ecological indicators
- Issue:
- Volume 109(2020)
- Issue Display:
- Volume 109, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 109
- Issue:
- 2020
- Issue Sort Value:
- 2020-0109-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02
- Subjects:
- Sediment organic matter -- Stable isotope -- Source estimating -- Monte Carlo simulations -- Spatial heterogeneity
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2019.105854 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12089.xml