Dataset Information

Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore.

ABSTRACT: Monthly data of abiotic variables (sea surface temperature; minimum and maximum air temperature; minimum, mean and maximum air humidity; minimum, mean and maximum atmospheric pressure; minimum, mean and maximum dew point; sea surface salinity; wind speed and direction; minimum and maximum tidal level and photosynthetically available radiation) were collected from different online repositories, all regarding the period between January 2013 and December 2017, from localities near Mar Casado Beach rocky shore, in São Paulo State southern coast, Brazil. Principal Component Analysis was performed to verify data variance and correlations among variables. Linear regression decomposition methods were applied to identify trend and seasonal patterns within the time indexed data. Deseasonalized time series were analyzed to identify structural breaks in trend patterns. Spectral analysis was applied to detrended time series.

SUBMITTER: Silva MG

PROVIDER: S-EPMC6454225 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore.

Silva M G MG Silva Juliana Nascimento JN Fragoso Helena Rodrigues HR Ghilardi-Lopes Natalia Pirani NP

Data in brief 20190325

Monthly data of abiotic variables (sea surface temperature; minimum and maximum air temperature; minimum, mean and maximum air humidity; minimum, mean and maximum atmospheric pressure; minimum, mean and maximum dew point; sea surface salinity; wind speed and direction; minimum and maximum tidal level and photosynthetically available radiation) were collected from different online repositories, all regarding the period between January 2013 and December 2017, from localities near Mar Casado Beach ...[more]

PMID: 31008159

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Project description:Individual traits and population parameters can be used as proxies of processes taking place within a range of scales, thus improving the way we can evaluate species response to environmental variability. In intertidal rocky shores, patterns at the within-site scale, i.e., between centimeters to hundreds of meters, are important for understanding the population response into these highly variable environments. Here, we studied a rocky-shore mussel population at the within-site spatial scale (1) to test how intertidal height and orientation of the shore affect individual traits and population parameters, (2) to infer the link between individual and population level features, and (3) to explore the upscaling mechanisms driving population structure and processes. We analyzed the patterns of six population parameters: density, biomass, crowding, median individual size, recruitment and mortality rate, and four individual traits: growth rate, spawning phenology, size and condition index. Crowding was defined as the degree of overlapping of individuals within a given area, for which we created a "crowding index". Mussels were studied along the intertidal height gradient in two rocky shores with contrasted orientation at one site over a full year. Our results showed a significant effect of intertidal height and shore orientation on most of individual traits and population parameters studied. In contrast, biomass contained in a full covered surface did not vary in space nor in time. This pattern likely results from relatively constant crowding and a trade-off between median individuals' size and density. We hypothesize that growth, mortality and recruitment rates may all play roles in the stability of the crowding structure of mussel aggregations. Variation in spawning phenology between the two shores in the study site was also observed, suggesting different temporal dynamics of microclimate conditions. Interestingly, despite the different population size distribution between the two shores, our estimates indicate similar potential reproductive output. We hypothesize that the structure of the patches would tend to maintain or carry a maximum of biomass due to trade-offs between density and size while maintaining and maximizing the reproductive output. The patterns of spatial variability of individual traits and population parameters in our study site suggest that heterogeneous within-site conditions influence variation in individual performance and population processes. These results provide insights about the relationship between individual traits and how these relationships make patterns at the population level emerge. They provide baseline information necessary to improve models of metapopulation with spatially explicit processes.

Project description:BackgroundSubstrate, ocean current and freshwater discharge are recognized as important factors that control the larval dispersal and recruitment of intertidal species. Life history traits of individual species will determine the differential responses to these physical factors, and hence resulting in contrasting phylogeography across the same biogeographic barrier. To determine how these factors affect genetic structure of rocky shore species along the China coast, a comparative phylogeographic study of four intertidal and subtidal species was conducted using mitochondrial and nuclear DNA by combining new sequences from Siphonaria japonica with previously published sequences from three species (Cellana toreuma, Sargassum horneri and Atrina pectinata).ResultsAnalysis of molecular variance and pairwise ΦST revealed significant genetic differences between the Yellow Sea (YS) and the other two marginal seas (East China Sea, ECS and South China Sea, SCS) for rocky-shore species (S. japonica, C. toreuma, S. horneri), but not for muddy-shore species Atrina pectinata. Demographic history analysis proved that the population size of all these four species were persistent though the Last Glacial Maximum (LGM, ~20 ka BP). Migration analysis revealed that gene flow differentiated northward and southward migration for these four species. However, the inferred direction of gene flow using alternatively mitochondrial or nuclear markers was contradictory in S. japonica.ConclusionsIt is concluded that there is a phylogeographical break at the Yangtze River estuary for the rocky shore species and the causation of the barrier is mainly due to the unsuitable substratum and freshwater discharge. All four intertidal and subtidal species appear to have persisted through the LGM in China, indicating the lower impact of LGM on intertidal and subtidal species than generally anticipated. The imbalanced gene flow between YS and ESCS groups for these four species could be explained by historical refugia. The discordance between mitochondrial and nuclear markers in the MIGRATE analysis of S. japonica prove the importance of employing multi-locus data in biogeographic study. Climate change, land reclamation and dam construction, which are changing substrate and hydrological conditions around Yangtze River estuary, will consequently affect the biogeographic pattern of intertidal species.

Dataset Information

Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore.

Publications

Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore.

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