Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing

Xu, Jie; Lei, Shaohua; Bi, Shun; Li, Yunmei; Lyu, Heng; Xu, Jiafeng; Xu, Xiaoguang; Mu, Meng; Miao, Shihai; Zeng, Shuai; Zheng, Zhuo

doi:10.1016/j.watres.2019.115162

Cited by 40 publications

(22 citation statements)

References 61 publications

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“…The seasonal bloom and succession of phytoplankton in Meiliang Bay shape the POC pool, as evidenced by δ 13 C POC and biomarkers. In Meiliang Bay, the higher δ 13 C POC in the bloom season approached the cyanobacterial signal at −20.5‰ (Xu et al, 2020;Meng et al, 2021), suggesting the dominant cyanobacteria-derived OC input. A similar trend of δ 13 C POC with Chlorophyll-A concentrations and phytoplankton densities indicates that the cyanobacterial bloom event is the determining factor in the POC pool, whereas δ 13 C POC along the water column spanning approximately 1‰-2‰ implies less influence of sinking progress and sediment resuspension, both of which occur frequently in shallow lakes (Tang et al, 2020;Wang et al, 2022).…”

Section: Strong Seasonal Variations In Pocmentioning

confidence: 90%

“…However, during the decay season, terrestrial OC became the major source of POC in Meiliang Bay. In March, the lowest average δ 13 C POC value (−28.0‰) suggests a strong contribution from allochthonous OC derived from river transportation and soil erosion in the Taihu Basin (Xu et al, 2020). Additionally, sitosterol and stigmasterol were present in high proportions during the decay season (Figures 5A, B; Table 2).…”

Section: Strong Seasonal Variations In Pocmentioning

confidence: 98%

“…Additionally, in May 2018 and September 2018, the POC concentrations of water in the bottom layer were higher than those of water in the surface layer (Figure 3A). δ 13 C POC values have been widely used to trace the OC of allochthonous (terrestrial plants) and autochthonous sources in lake systems (Raymond and Bauer, 2001;Xu et al, 2020;Wang et al, 2022). The δ 13 C POC in Meiliang Bay ranged from −29.5 to −19.9‰, with an average value of −24.4‰.…”

Section: Organic Geochemical Characteristics Of Pocmentioning

confidence: 99%

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Seasonal constraints on the burial of organic carbon in the eutrophic Lake Taihu

He²,

Jiali³

et al. 2023

Front. Earth Sci.

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Eutrophication alters the function of lake ecosystems through phytoplankton blooms and is a major contributor to organic carbon (OC) burial in lakes worldwide. Although Lake Taihu is notable for its severe eutrophication yet low OC burial, why cyanobacteria-derived OC is ineffectively buried in the lake is unknown. Because seasonal hydrological and ecological dynamics in eutrophic lacustrine ecosystems would significantly modify the preservation and degradation behaviors of OC, seasonal variations in paired particulate samples from both the water column and surface sediment are critical in evaluating cyanobacteria-derived OC burial. In this study, we present the steroid results of water and sediments collected from Meiliang Bay in Lake Taihu across cyanobacteria-bloom and decay seasons (from May 2018 to June 2019) to investigate constraints on the seasonal burial of autochthonous and allochthonous OC. The results indicate that cyanobacteria contribute a considerable amount of OC to the water body in the cyanobacterial bloom season, while terrestrial OC becomes the main contributor during the cyanobacterial decay season. Although OC degradation occurs throughout the water column, substantially more OC degradation was observed at the water-sediment interface. The extensive degradation of OC in the bloom season eventually reverses the seasonal distribution characteristics of particulate OC in the water column, leading to less accumulation of OC under the background of higher cyanobacteria-derived OC input. The combined effect of OC bioavailability, temperature, oxygen exposure, and more importantly microorganism activities, accounts for much higher OC degradation rates in the bloom season. Similar phenomena were observed in subtropical shallow lakes with high primary productivity, suggesting that eutrophication might have a limited influence on OC burial when compared to other factors related to OC degradation.

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Section: Strong Seasonal Variations In Pocmentioning

confidence: 90%

Section: Strong Seasonal Variations In Pocmentioning

confidence: 98%

Section: Organic Geochemical Characteristics Of Pocmentioning

confidence: 99%

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Seasonal constraints on the burial of organic carbon in the eutrophic Lake Taihu

He²,

Jiali³

et al. 2023

Front. Earth Sci.

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“…The R rs (λ) data were field-measured while using an Analytical Spectral Devices (ASD) Inc. FieldSpec Pro. Full details of the measurement process of R rs (λ) are provided by previous studies [22,23]. At each sampling site, the total radiance (L t ), the sky-viewing radiance (L sky ), and the radiance reflected by a standard gray panel (L p ) were collected.…”

Section: In-situ Water Quality Data and Spectra Data Collectionmentioning

confidence: 99%

“…GOCI images, which were captured in Lake Hongze and Lake Taihu from 2014 to 2018, were downloaded from the Korea Ocean Satellite Center (KOSC). The 6S method (Second Simulation of the Satellite Signal in the Solar Spectrum, 6S) was used to correct the GOCI Level-1B data, which are the same as the latest research [19,22]. After image data pre-processing, these data were used to validate the performance of 6s model and estimate the Z SD in Lake Hongze and Lake Taihu.…”

Section: Satellite Data and Preprocessingmentioning

confidence: 99%

Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a New Semi-Analytical Algorithm

Zeng

Lei

et al. 2020

Remote Sensing

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The accurate remote estimation of the Secchi disk depth (ZSD) in turbid waters is essential in the monitoring the ecological environment of lakes. Using the field measured ZSD and the remote sensing reflectance (Rrs(λ)) data, a new semi-analytical algorithm (denoted as ZSDZ) for retrieving ZSD was developed from Rrs(λ), and it was applied to Geostationary Ocean Color Imager (GOCI) images in extremely turbid waters. Our results are as follows: (1) the ZSDZ performs well in estimating ZSD in turbid water bodies (0.15 m < ZSD < 2.5 m). By validating with the field measured data that were collected in four turbid inland lakes, the determination coefficient (R2) is determined to be 0.89, with a mean absolute square percentage error (MAPE) of 22.39%, and root mean square error (RMSE) of 0.24 m. (2) The ZSDZ improved the retrieval accuracy of ZSD in turbid waters and outperformed the existing semi-analytical schemes. (3) The developed algorithm and GOCI data are in order to map the hourly variation of ZSD in turbid inland waters, the GOCI-derived results reveal a significant spatiotemporal variation in our study region, which are significantly driven by wind forcing. This study can provide a new approach for estimating water transparency in turbid waters, offering important support for the management of inland waters.

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Determinant variables on the isotopic values of particulate organic matter in a neotropical floodplain

de Andrade Urbano,

Maximilian Ratz Scoarize,

Henrique Zaia Alves

et al. 2024

J. Ocean. Limnol.

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Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing

Cited by 40 publications

References 61 publications

Seasonal constraints on the burial of organic carbon in the eutrophic Lake Taihu

Seasonal constraints on the burial of organic carbon in the eutrophic Lake Taihu

Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a New Semi-Analytical Algorithm

Determinant variables on the isotopic values of particulate organic matter in a neotropical floodplain

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