| Literature DB >> 35602901 |
Jinpeng Zhang1,2, Andrzej Witkowski2, Michał Tomczak3, Chao Li4, Kevin McCartney5, Zhen Xia1.
Abstract
Located in northwestern South China Sea (SCS), the Beibu Gulf constitutes an environmentally sensitive region shaped by land-ocean-atmosphere interactions in Asia between the western Pacific and eastern Indian Oceans. This study aims to provide a comprehensive view of the sub-fossil diatom biogeography, distribution pattern and oceanographic environmental controls with support of multivariate methods based on Beibu Gulf core-top samples. Cluster analysis of diatom assemblages divides the distribution pattern into four subclusters. Sea surface salinity (SSS), temperature (SST), trophic state (chlorophyll a concentration in this study) and water depth constrain the diatom distribution pattern through canonical redundancy analysis although only partly support an interpretation of the relationship between these various variables. Chlorophyll a has a strong correlation to diatom distribution, and responds to Paralia sulcata occurrence, while SSS and SST also have significant influence and indicate warm water invasion from the open SCS. Water depth is a subordinate factor in terms of Beibu Gulf diatom distribution. The ca. 25 m water-depth marks the upper extent of Paralia sulcata dominance in the northern Beibu Gulf. A strong mixing area with a complex diatom distribution exists below this water depth in the middle of Beibu Gulf. Coastal currents from north of SCS invade Beibu Gulf through Qiongzhou Strait and south of Hainan Island, as recorded by higher percentages of Paralia sulcata and Cyclotella striata at these sites. Our results provide a selection of evaluation method for a marine ecological red-line definition for sustainable development. This study highlights the perspective relationships between the spatial distribution of sub-fossil diatom assemblages in surface sediments and oceanographic variables, which could serve as a model for paleoenvironmental and paleoclimatic reconstruction in future marginal sea geoscience research for the Beibu Gulf, northwestern SCS. ©2022 Zhang et al.Entities:
Keywords: Diatoms; Multivariate analyses; Oceanographic variables; Paleoceanography; Paleoenvironmental proxies; South China Sea
Year: 2022 PMID: 35602901 PMCID: PMC9119299 DOI: 10.7717/peerj.13115
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Figure 1Location of sampling sites in the Beibu Gulf.
Dominant diatom species with relative abundances and their preferred habitat (based on Jin, Cheng & Lin, 1982; Jin, Cheng & Liu, 1992; Lan, Chen & Liu, 1995; Witkowski, Lange-Bertalot & Metzeltin, 2000; Guo & Qian, 2003; Winter, 2001).
| Species | Temperature | Salinity | Relative abundances | Average value |
|---|---|---|---|---|
|
| ||||
| wide | marina-neritic | 0–8.22% | 3.47% | |
| wide | marina-neritic | 0–6.16% | 1.21% | |
| tropical | marina-open sea | 0.54–13.24% | 4.03% | |
| warm | marina-neritic | 0–21.45% | 5.94% | |
| wide | marina-neritic | 0–10.03% | 2.53% | |
| wide | brackish-coastal | 3.46–46.06% | 21.17% | |
| wide | brackish-coastal | 0.81–21.21% | 8.11% | |
| wide | brackish-coastal | 0–5.71% | 0.78% | |
| wide | brackish-coastal | 0–8.13% | 1.18% | |
| wide | marina-neritic | 0–7.78% | 0.62% | |
| wide | brackish-coastal | 3.95–54.8% | 17.97% | |
| warm | marina-neritic | 0–14.78% | 3.57% | |
| wide | brackish-coastal | 0–8.47% | 1.89% | |
| wide | marina-neritic | 0–8.82% | 2.20% | |
| warm | marina-neritic | 0–10.29% | 1.92% | |
| wide | marina-neritic | 0–8.29% | 1.46% | |
| warm | marina-neritic | 0–6.02% | 1.41% | |
| wide | marina-neritic | 0–5.0% | 1.41% | |
| wide | marina-neritic | 0.28–10.71% | 2.09% | |
| wide | marina-neritic | 0–5.77% | 0.32% | |
|
| ||||
| warm | marina-neritic | 0–0.13% | 0.002% | |
| warm | marina | 0–0.81% | 0.16% | |
| tropical | marina-open sea | 0–0.69% | 0.06% | |
| tropical | marina-open sea | 0–0.29% | 0.05% | |
| warm | marina-neritic | 0-3.18% | 0.28% | |
| wide | fresh water | 0–0.24% | 0.004% | |
| warm | marina-neritic | |||
| tropical | marina-open sea | 0–4.86% | 1.17% | |
| wide | fresh water | 0–0.26% | 0.004% | |
| tropical | marina-neritic | 0–4% | 0.33% | |
| warm | marina | 0–1.48% | 0.24% | |
| wide | brackish-coastal | 0–3.26% | 0.75% | |
| warm | marina-neritic | 0–2.32% | 0.27% |
Figure 2The circulation structures given in hydrography of China Seas (adapted from Su & Yuan, 2005).
Figure 3The diatom abundance in the Beibu Gulf topmost 1 cm.
Left, spatial distribution; right, with water depth and showing the subclusters of sites listed in below text.
Figure 4The dominant species distribution in the studied sites.
The percentages of warm water, tropical, freshwater forms and planktonic to benthic diatom ratio is also illustrated.
Figure 5Diatom groups’ percentage of marine-brackish, tropical, warm water, and freshwater forms.
Figure 6Q-mode cluster dendrogram (top) and R-mode cluster dendrogram (left).
The R-mode dendrogram defines two groups (A and B) with four sub-groups (B1, B2, B3, and B4). The Q-mode dendrogram defines two clusters, the Cluster 1 and 2 with sub-clusters (1A, 1B, 1C).
Figure 7Distribution of the sites studied within the four subclusters 1(A), 1(B), 1(C) and Cluster 2(D).
The most abundant diatom species in the four subclusters.
The species are ranked according to decreasing average DRA over 1.5% in each subcluster.
| Subcluster | Dominant diatom species | |
|---|---|---|
| Major dominant species (average DRA < 10%) | Minor dominant species (average DRA < 10%) | |
| Subcluster 1A | ||
| Subcluster 1B | ||
| Subcluster 1C | ||
| Cluster 2 | ||
The PCA analysis results for the first four axes.
| Axis 1 | Axis 2 | Axis 3 | Axis 4 | ||
|---|---|---|---|---|---|
| Analysis type | Unconstrained | ||||
| Method | PCA | ||||
| Total variation | 23672.702 | ||||
| Statistic Eigenvalues | 0.4667 | 0.2112 | 0.0968 | 0.0677 | |
| Explained variation (cumulative) | 46.67 | 67.79 | 77.47 | 84.24 |
Figure 8PCA analysis of diatom species within the sties studied ((A) is species plot; (B) is the sites ordination).
(B) Diamonds show the site in subcluster 1A. Green circles show the site in subcluster 1B. Blank circles show site in subcluster 1C. Red circles show the site in Cluster 2 in northeastern Beibu Gulf. Orange circles show site in Cluster 2 in south Beibu Gulf.
The RDA analysis results for the first four axes.
| Axis 1 | Axis 2 | Axis 3 | Axis 4 | ||
|---|---|---|---|---|---|
| Analysis type | Constrained-P | ||||
| Method | RDA | ||||
| Total variation | 23672.702 | ||||
| explanatory variables account | 38.14% | ||||
| Statistic Eigenvalues | 0.2985 | 0.0507 | 0.0229 | 0.0093 | |
| Explained variation (cumulative) | 29.85 | 34.92 | 37.2 | 38.14 | |
| Pseudo-canonical correlation | 0.8131 | 0.5935 | 0.47 | 0.3595 | |
| Explained fitted variation (cumulative) | 78.27 | 91.56 | 97.56 | 100 | |
| Permutation Test Results | pseudo-F = 9.4, |
Figure 9Plot of diatom species and environmental variables by RDA analysis.
Figure 10Diatom planktonic to benthic ratio (P/B ratio) against the water depth.