sargassum horneri habitat
- December 6, 2020 -
MAXENT showed better performance (AUC = 0.97; TSS = 0.60) in the validation than did GARP (AUC = 0.87; TSS = 0.70), so we used MAXENT to generate the distribution models using all presence points of the seaweed species. Geophys. (2017). The probability grid data were projected in UTM (Universal Transverse Mercator Grid System) to calculate the area of suitable habitat (species’ presence probability > 0.5) location arising under different periods and RCP scenarios. This annual species reaches 2–5 m or more in height and sometimes dominates on the rocky shores of intertidal to subtidal zones, especially from winter to early summer. Climate Change 2013: The Physical Science Basis. Sci. The private haplotypes along the Chinese coasts are strongly indicative of refugia in the Okinawa Trough, as the elapsed years since the LGM (ca. doi: 10.1007/s10707-009-0090-7, Naimi, B., Hamm, N. A. S., Groen, T. A., Skidmore, A. K., and Toxopeus, A. G. (2014). Distribution of drifting seaweeds in eastern East China Sea. (c) Jonathan Williams, some rights reserved (CC BY), uploaded by cppmarinebotany2. Ecol. 67, 1023–1029. Biol. doi: 10.1016/j.marenvres.2015.11.005, Assis, J., Serrao, E. A., Coelho, N. C., Tempera, F., Valero, M., and Alberto, F. (2018b). Diversity 10:11. doi: 10.3390/d10010011, Boo, G., Mansilla, A., Nelson, W., Bellgrove, A., and Boo, S. (2014). Nerd Nite San Diego #43 August 4th, 7pm on Zoom! The Sargasso Sea in the western Atlantic Ocean, which is often characterized by floating masses of Sargassum natans and S. fluitans, is named for the seaweed. Occurrence of Sargassum 2. doi: 10.1111/pre.12355, Westmeijer, G., Everaert, G., Pirlet, H., De Clerck, O., and Vandegehuchte, M. B. It is an annual algae which has a varying fertile season along the coast. Our results enable a better understanding of the impacts of climate change on the spatio-temporal distribution of macroalgae and how this can inform coastal management and marine conservation planning. MEGA6: molecular evolutionary genetics analysis version 6.0. (B) Median-joining network inferred from mtDNA cox3. Estuar. The estimated split time between lineage I and III was c. 0.205 Mya (95% HPD 0.035–0.414 Mya), and the divergence time between lineage II and III was c. 0.266 Mya (95% HPD 0.094–0.432 Mya) (Supplementary Figure S5). 41:101560. doi: 10.1016/j.algal.2019.101560, Foo, S. A., and Byrne, M. (2016). Plant Sci. (2014). These large biotic rafts that can support an extensive pelagic habitat Projected climate changes threaten ancient refugia of kelp forests in the North Atlantic. Ecol. Regression coefficients and r 2 values for the relationship between size and biomass for different life stages of Sargassum horneri. Geol. (2018). 56, 994–1005. IPCC (2013). Mar. 24, E55–E66. It is generally most abundant between depths of 3 – 15 meters (~10 – 50 feet), but has been found growing at 30 meters (~100 feet). 39, 293–299. Sargassum Identification Guide Two species of sargassum are found in the caribbean: Sargassum natans and Sargassum fluitans. 55, 1319–1334. During the MH (6 Kya) period, S. horneri began to expand outside refugia as sea levels rose, moving westward to the Bohai Bay and northward to the coasts of Hokkaido, Japan, the Russian coast of the Japan Sea, the Sakhalin Bay and also around the Kuril Islands (Figure 1D). It is generally most abundant between depths of 3 – 15 meters (~10 – 50 feet), but has been found growing at 30 meters (~100 feet). 44, 11501–11509. Evol. Distrib. Life History: Diplontic, with gametic meiosis; monoecious. The Kuroshio Current, bifurcating at the southwestern Japan, acts as a hydrological barrier between populations in eastern Korea and Pacific coastline of Japan; thus, the occurrence of lineage II in both regions likely resulted from a much earlier mixture (e.g., pre-LGM) rather than from recent genetic exchange. (2019). Mar. doi: 10.1007/s00227-009-1136-y, van Hees, D. H., Olsen, Y. S., Mattio, L., Ruiz-Montoya, L., Wernberg, T., and Kendrick, G. A. doi: 10.1016/j.marpolbul.2014.04.032, Komatsu, T., Tatsukawa, K., Filippi, J. Acclimatization and adaptive capacity of marine species in a Changing Ocean. Furthermore, the loss of habitat at the southern boundaries was predicted by 2100 under high CO2 emission scenario (RCP 8.5). Ancient isolation in separated glacial refugia is a key factor shaping the phylogeographic pattern of marine species in the NW-Pacific (Hu et al., 2017). Distribution models predict large contractions of habitat-forming seaweeds in response to ocean warming. SDMs are powerful tools for predicting the suitable distribution area of species and to understand how they may respond to climate change (see Renaud et al., 2019). Features 6. (2019). Ecol. Biol. An estimated US$ 2.7 billion is generated annually from the ecosystem services they provide (in the Sargasso Sea alone), yet, the Sargassum habitat is still so poorly studied. By contrast, the postglacial expansion of warm-temperate seaweed in the NW-Pacific is affected by both complex coastal topography and ocean currents (Li et al., 2017b). (2019). Mar. By 2050, under the stabilizing scenario RCP 2.6, S. horneri will lose 13.43% of its current suitable habitat, but by 2100, suitable area will arise to 17.14% (Figures 2, 3). Sargassum hornerigrows mainly subtidally, though intertidal populations have been reported in Laguna. Sargassum horneri is a habitat‐forming species in the Northwest Pacific and an important contributor to seaweed rafts. (2010). Front. Then MAXENT was run 15 times, and each run was convergent within 1000 iterations. Received: 09 June 2020; Accepted: 12 August 2020;Published: 02 September 2020. Species distribution models for Sargassum horneri for (C) the Last Glacial Maximum (LGM) and (D) Mid-Holocene (MH). In this study, 131 benthic samples and 156 floating samples were collected in the Yellow Sea and East China Sea (ECS) to test the effects of seaweed rafts on population structure and connectivity. Young plant (China, Qingdao, Yellow Sea), October 2008. was 0.0128 (Supplementary Table S4), without overfitting risk. Geoinformatica 15, 111–135. Community, trophic structure and functioning in two contrasting Laminaria hyperborea forests. Both SST and SSS were each derived for the mid-century (2040–2050) and end-century (2090–2100) in the two RCP scenarios (from Bio-ORACLE). (1999). Sargassum horneri (S. horneri) is a large alga native to the shallow reefs of eastern Asia. doi: 10.1111/jpy.12910, Byeon, S. Y., Oh, H.-J., Kim, S., Yun, S. H., Kang, J. H., Park, S. R., et al. The model with the lowest AIC was built based on the following three uncorrelated environmental variables (Supplementary Figure S1, S2, Table S4): mean primary productivity, LTA of maximum sea surface temperature (MaxSST) and LTA of minimum surface sea salinity (MinSSS) (Table 1). (2008). doi: 10.1093/molbev/mst197, Uwai, S., Kogame, K., Yoshida, G., Kawai, H., and Ajisaka, T. (2009). doi: 10.1111/gcb.13818, PubMed Abstract | CrossRef Full Text | Google Scholar, Assis, J., Berecibar, E., Claro, B., Alberto, F., Reed, D., Raimondi, P., et al. Large-scale Sargassum blooms, known as golden tides, have been occurring along the coast of the Yellow Sea in recent years, resulting in an enormous l… Habitat: Occasional in low intertidal, often abundant in subtidal. Primary productivity, itself closely associated with nutrient concentrations, available light, and water transparency, could reliably discriminate suitable from non-suitable habitat for S. horneri populations. The difference between training and testing AUC (AUC Diff.) Historical isolation and contemporary gene flow drive population diversity of the brown alga Sargassum thunbergii along the coast of China. The thermal thresholds of species are related to their life stages, thus integrating phenological trends should improve our ability to predict future distributional shifts at both regional and global scales. In habitat, Japan, Amakusa Island. In particular, the concentration of nutrients seems to have been a relevant factor driving the population dynamics of S. horneri (Yoshida et al., 2001; Qi et al., 2017). 42, 428–438. Phylogeographic heterogeneity of the brown macroalga Sargassum horneri (Fucaceae) in the northwestern Pacific in relation to late Pleistocene glaciation and tectonic configurations. 9:12. doi: 10.3389/fpls.2018.01832, Wang, P. X. 119, 73–79. Hu et al. Genetic isolation by distance in the yellowfin goby populations revealed by RAD sequencing. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Mol. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Mol. 81. B Biol. doi: 10.1111/j.1755-0998.2010.02847.x, Fielding, A. H., and Bell, J. F. (1997). For AUC, models with value > 0.90 were considered “excellent” and in the range 0.7–0.9 “reasonable predictions”. Mar. 148, 1–11. Mean primary productivity was the most important variable (44.7% model contribution, Table 1) in discriminating suitable from non-suitable habitats. A., Veldsink, J. H., Stam, W. T., and Olsen, J. L. (2007). In our study, summer temperature (MaxSST) contributed more than did winter temperature (MinSST) when projecting the distribution pattern of S. horneri.
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