| Literature DB >> 27513665 |
Lauriane Ribas-Deulofeu1,2,3, Vianney Denis3,4, Stéphane De Palmas1,2,3, Chao-Yang Kuo5, Hernyi Justin Hsieh6, Chaolun Allen Chen2,3,4.
Abstract
The distribution and the structure of benthic assemblages vary with latitude. However, few studies have described benthic communities along large latitudinal gradients, and patterns of variation are not fully understood. Taiwan, lying between 21.90°N and 25.30°N, is located at the center of the Philippine-Japan arc and lies at the northern margin of coral reef development. A wide range of habitats is distributed along this latitudinal gradient, from extensive fringing coral reefs at the southern coast to non-reefal communities at the north. In this study, we examined the structure of benthic communities around Taiwan, by comparing its assemblages in four regions, analyzing the effects of the latitudinal gradient, and highlighting regional characteristics. A total of 25 sites, 125 transects, and 2,625 photographs were used to analyze the benthic communities. Scleractinian corals present an obvious gradient of increasing diversity from north to south, whereas macro-algae diversity is higher on the north-eastern coast. At the country scale, Taiwanese coral communities were dominated by turf algae (49%). At the regional scale, we observed an important heterogeneity that may be caused by local disturbances and habitat degradation that smooths out regional differences. In this context, our observations highlight the importance of managing local stressors responsible for reef degradation. Overall, this study provides an important baseline upon which future changes in benthic assemblages around Taiwan can be assessed.Entities:
Mesh:
Year: 2016 PMID: 27513665 PMCID: PMC4981444 DOI: 10.1371/journal.pone.0160601
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Study area.
The four regions surveyed around Taiwan and locations of study sites.
Fig 2Sea Surface Temperature (SST) around Taiwan.
Monthly average sea surface temperatures, annual means (red dashed line), and monthly maxima and minima (red shaded area). (a)Northern Coast (1998–2013). (b). Penghu (2007–2013). (c) Eastern coast (2002–2013). (d) Kenting (2007–2013). Data: Central Weather Bureau, Taiwan (http://www.cwb.gov.tw/).
Composition of the benthic community around Taiwan.
Mean (standard error) percent coverage of major benthic categories at the country, regional, and site levels. Results of one-way nested ANOVA* on regional differences within major categories are indicated below the table. Superscript letters indicate significant differences between regions detected by Tukey’s HSD test.
| TU | HC | MA | SF | ECA | ZO | SP | AN | AS | AT | OL | UN | BS | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Keelung Island | 53.5 (5.1) | 24.1 (7.0) | 12.9 (1.1) | 0.0 (0.0) | 4.9 (2.3) | 1.0 (1.2) | 0.4 (0.3) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 3.1 (1.0) |
| Yeliu | 32.1 (3.8) | 22.3 (11.9) | 15.2 (2.9) | 0.4 (0.6) | 7.1 (3.7) | 19.8 (16.7) | 1.1 (1.5) | 0.9 (1.9) | 0.0 (0.0) | 0.0 (0.0) | 0.2 (0.1) | 0.0 (0.0) | 0.9 (0.6) |
| Bitou | 44.1 (5.3) | 19.0 (7.7) | 28.2 (9.1) | 0.4 (0.4) | 4.3 (1.3) | 2.5 (2.2) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.3 (0.2) | 0.0 (0.0) | 1.3 (0.7) |
| Longdon | 25.9 (20.1) | 9.8 (6.5) | 36.6 (7.3) | 0.2 (0.5) | 16.7 (11.5) | 1.2 (1.5) | 0.0 (0.0) | 0.0 (0.1) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.1) | 0.0 (0.0) | 9.5 (7.2) |
| Wa En Tung | 43.5 (4.6) | 54.0 (4.5) | 0.6 (0.6) | 0.0 (0.0) | 0.7 (0.4) | 0.0 (0.0) | 0.9 (0.5) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.2) | 0.0 (0.0) | 0.1 (0.1) |
| Gupoyu | 61.8 (12.8) | 31.0 (12.8) | 4.2 (2.4) | 0.6 (1.0) | 2.0 (1.2) | 0.0 (0.0) | 0.2 (0.3) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.2) | 0.0 (0.0) | 0.2 (0.2) |
| Siyuping | 74.8 (7.5) | 13.5 (5.5) | 3.7 (3.2) | 2.8 (3.5) | 1.7 (1.8) | 2.2 (3.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.6 (0.3) | 0.0 (0.0) | 0.7 (1.5) |
| Pon Pon Tan | 81.9 (5.4) | 11.2 (6.2) | 5.0 (3.3) | 1.0 (0.7) | 0.2 (0.2) | 0.0 (0.0) | 0.1 (0.1) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.1) | 0.0 (0.0) | 0.6 (0.9) |
| Cimei | 81.0 (13.9) | 10.8 (8.8) | 1.1 (0.7) | 2.3 (2.8) | 0.2 (0.1) | 0.1 (0.2) | 0.1 (0.3) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.2) | 0.0 (0.0) | 4.4 (8.7) |
| Chinwan Inner Bay | 76.0 (12.6) | 5.4 (3.5) | 0.1 (0.1) | 0.0 (0.1) | 0.3 (0.3) | 0.0 (0.0) | 3.1 (1.2) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.3 (0.5) | 0.0 (0.0) | 14.9 (9.4) |
| Gongguan | 37.1 (3.7) | 46.0 (4.8) | 7.9 (2.0) | 3.5 (2.0) | 3.8 (1.0) | 0.2 (0.1) | 0.6 (0.9) | 0.0 (0.1) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.0) | 0.0 (0.0) | 0.8 (0.6) |
| Chaikou | 29.6 (1.3) | 43.4 (7.6) | 14.2 (3.6) | 2.2 (1.5) | 7.2 (2.1) | 0.3 (0.1) | 1.0 (1.4) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.1) | 0.0 (0.0) | 2.2 (1.5) |
| Dabaisha | 11.3 (9.3) | 42.1 (13.8) | 2.7 (1.7) | 33.0 (9.6) | 1.5 (0.7) | 0.0 (0.1) | 0.2 (0.2) | 2.9 (5.0) | 0.1 (0.1) | 0.0 (0.0) | 0.0 (0.1) | 0.0 (0.0) | 6.2 (6.5) |
| Shihland | 5.4 (2.1) | 26.7 (4.4) | 2.2 (1.2) | 56.4 (4.4) | 2.4 (1.6) | 0.0 (0.1) | 1.0 (1.6) | 4.0 (2.6) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.2 (0.4) | 1.7 (1.9) |
| Houbihu | 20.9 (4.5) | 53.1 (13.1) | 3.1 (2.7) | 17.1 (11.5) | 4.1 (1.3) | 0.2 (0.1) | 0.2 (0.2) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.2 (0.3) | 0.0 (0.1) | 1.1 (1.2) |
| Outlet | 27.7 (6.1) | 47.8 (6.9) | 8.4 (4.4) | 12.8 (10.7) | 1.6 (0.9) | 0.0 (0.1) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.3 (0.3) | 0.0 (0.0) | 1.3 (1.7) |
| Jialeshuei | 26.7 (10.4) | 43.1 (12.2) | 12.0 (3.4) | 4.8 (2.6) | 10.4 (3.4) | 0.5 (0.9) | 0.0 (0.0) | 0.8 (1.9) | 0.0 (0.0) | 0.0 (0.0) | 1 (0.7) | 0.0 (0.0) | 0.7 (0.5) |
| Longkeng | 33.1 (4.5) | 29.1 (1.6) | 16.3 (4.2) | 8.0 (4.5) | 9.8 (2.2) | 1.0 (0.4) | 1.8 (1.7) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.4 (0.4) | 0.0 (0.0) | 0.4 (0.3) |
| Leidashih | 25.7 (7.5) | 28.8 (12.1) | 3.5 (3.8) | 38.9 (20.2) | 2.5 (2.5) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.1 (0.1) | 0.3 (0.3) | 0.0 (0.1) | 0.3 (0.4) |
| Sangjiaowan | 52.7 (6.3) | 24.6 (12.7) | 14.9 (8.7) | 2.0 (0.8) | 3.6 (1.6) | 0.1 (0.2) | 0.5 (0.7) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 1.1 (0.5) | 0.0 (0.0) | 0.5 (0.4) |
| Tanzihwan | 52.6 (7.2) | 15.1 (4.0) | 26.4 (4.6) | 0.2 (0.2) | 4.2 (1.8) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.6 (0.3) | 0.0 (0.0) | 0.9 (0.5) |
| Tiaoshih | 80.2 (11.3) | 11.8 (7.9) | 4.3 (4.0) | 0.7 (0.5) | 1.5 (0.6) | 0.0 (0.0) | 0.1 (0.2) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 1 (0.4) | 0.0 (0.0) | 0.4 (0.4) |
| Dingbaisha | 78.3 (9.7) | 4.8 (3.5) | 10.2 (3.4) | 0.2 (0.1) | 0.1 (0.2) | 0.0 (0.1) | 0.2 (0.2) | 0.0 (0.0) | 0.2 (0.3) | 0.0 (0.0) | 0.3 (0.2) | 0.0 (0.0) | 5.7 (8.5) |
| Wanlitung | 78.7 (3.6) | 3.8 (1.0) | 11.5 (2.8) | 1.2 (1.4) | 3.5 (1.1) | 0.0 (0.0) | 0.1 (0.1) | 0.0 (0.0) | 0.2 (0.2) | 0.0 (0.0) | 0.4 (0.3) | 0.0 (0.0) | 0.7 (0.5) |
| Hongchai | 89.5 (1.4) | 3.0 (1.0) | 6.4 (0.7) | 0.0 (0.0) | 0.5 (0.5) | 0.0 (0.0) | 0.1 (0.1) | 0.0 (0.0) | 0.0 (0.1) | 0.0 (0.0) | 0.1 (0.2) | 0.0 (0.0) | 0.4 (0.2) |
*TU: Turf—F(3,100) = 82.34, p < 0.001 / HC: Hard Coral—F(3,100) = 31.75, p < 0.001 / MA: Macroalgae—F(3,100) = 121.34, p < 0.001 / SF: Soft Coral—F(3,100) = 84.53, p < 0.001 /ECA: Crustose Coralline Algae—F(3,100) = 29.48, p < 0.001 / ZO: Zoanthid—F(3,100) = 16.42, p < 0.001 / SP: Sponge—F(3,100) = 2.12, p > 0.05 / AN: Anemone—F(3,100) = 9.67, p < 0.001 / AS: Ascidian—F(3,100) = 3.26, p < 0.05 / AT: Anthipatharia—F(3,100) = 0.42, p > 0.05 / OL: Other Life—F(3,100) = 20.16, p < 0.001 / UN: Unknown—F(3,100) = 2.15, p > 0.05 / BS: Bare Substrate—F(3,100) = 14.99, p < 0.01
Fig 3Multivariate pattern.
nMDS ordination showing regional partitioning. Centroids (crosses) were overlaid on the multivariate pattern to represent the relationship between sites and regional dispersion, respectively. OTUs contributing up to 70% of the regional differentiations were added.
Fig 4Boxplots summarizing, for each region, the distance of transects to regional centroids.
Boxplots display median, first, and third quartiles (hinges); 95% confidence interval of median (notches) and outliers.