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FIG. 1 in Effect of Season on Analysis of Growth in a Population of the Western Lesser Siren, Siren intermedia nettingi, in Northwestern Louisiana

FIG. 1. First season capture SVL (mm) frequency (n ¼ 881) for all individuals of Siren intermedia over the seven years of the study (1992– 1998).

FIG. 2 in Effect of Season on Analysis of Growth in a Population of the Western Lesser Siren, Siren intermedia nettingi, in Northwestern Louisiana

FIG. 2. Graph of interaction among years, seasons, and sex on growth in mass of Siren intermedia as calculated by increase in g per day. See Table 3 for statistics.

FIG. 4 in Effect of Season on Analysis of Growth in a Population of the Western Lesser Siren, Siren intermedia nettingi, in Northwestern Louisiana

FIG. 4. Number of Siren intermedia captured per season and year over the five years of the study that sampled all four seasons.

FIG. 3 in Effect of Season on Analysis of Growth in a Population of the Western Lesser Siren, Siren intermedia nettingi, in Northwestern Louisiana

FIG. 3. Graph of interaction among years, seasons, and sex on growth in SVL of Siren intermedia as calculated by increase in mm per day. See Table 4 for statistics.

opencc-zeroMay 2023View details →

dryad32/100

A broader flight season for Norway's Odonata across a century and a half

As global climate continues to change, so too will phenology of a wide range of insects. Changes in flight season usually are characterised as shifts to earlier dates or means, with attention less often paid to flight season breadth or whether seasons are now skewed. We amassed flight season data for the insect order Odonata, the dragonflies and damselflies, for Norway over the past century-and-a-half to examine the form of flight season change. By means of Bayesian analyses that incorporated uncertainty relative to annual variability in survey effort, we estimated shifts in flight season mean, breadth, and skew. We focussed on flight season breadth, positing that it will track documented growing season expansion. A specific mechanism explored was shifts in voltinism, the number of generations per year, which tends to increase with warming. We found strong evidence for an increase in flight season breadth but much less for a shift in mean, with any shift of the latter tending toward a later mean. Skew has become rightward for suborder Zygoptera, the damselflies, but not for Anisoptera, the dragonflies, or for the Odonata as a whole. We found weak support for voltinism as a predictor of broader flight season; instead, voltinism acted interactively with use of human-modified habitats, including decrease in shading (e.g., from timber extraction). Other potential mechanisms that link warming with broadening of flight season include protracted emergence and cohort splitting, both of which have been documented in the Odonata. It is likely that warming-induced broadening of flight seasons of these widespread insect predators will have wide-ranging consequences for freshwater ecosystems.

openodc-odblMay 2023View details →

data for the paper "Seasonal Prediction of Regional Arctic Sea Ice Using the High-Resolution Climate Prediction System CMA-CPSv3"

CMA-CPSv3 data for the paper "Seasonal Prediction of Regional Arctic Sea Ice Using the High-Resolution Climate Prediction System CMA-CPSv3"

opencc-by-4.0May 2023View details →

Changes of the annual and seasonal extreme precipitations over Southeastern Europe - source datasets

Source files: ERA5 land - highest one day precipitation amount (RX1) for seasons December-January-Februrary (DFJ), March-April-May (MAM), June, July, August (JJA), September-October-November (SON) Mann Kendall trends and p-values calculated from 1961 to 2020 in TXT, Microsoft Excell (XLSX) and ESRI Shapefile format.

dryad32/100

Diversity, seasonal abundance, and environmental drivers of chaetognath populations in North Inlet Estuary, South Carolina, USA

Chaetognaths (Phylum: Chaetognatha) are one of the most abundant phyla of zooplankton worldwide and play an important role in marine trophic interactions. Although the role of chaetognaths in global ecosystems is well understood, the spatial variation and environmental drivers of estuarine chaetognath populations is poorly understood. To provide the first known record of chaetognath species composition in a coastal estuary in the south-eastern USA, chaetognaths were identified and quantified from zooplankton samples collected on a monthly basis in 2019 and 2020 from North Inlet Estuary in South Carolina. Parasagitta tenuis was the most abundant species of the five found, making up 33% of total abundance. The egg presence of these chaetognaths was further analyzed to gauge reproductive cycles. Abundance and egg presence were compared with surface and bottom measurements of temperature, salinity, and dissolved oxygen levels to determine the driving abiotic factors behind chaetognath's seasonal variability and reproductive cycles. Temperature, salinity, and dissolved oxygen all had low (r < ± 0.29), non-significant correlations with abundance. Chaetognath egg production was most significantly associated with dissolved oxygen (p < 0.001) and seasonal changes in temperature (p < 0.001). Our initial findings indicate the continued abundance of chaetognath in a local estuary is dependent on abiotic factors that are strongly influenced by a changing climate.

opencc-zeroMay 2023View details →

opencc-by-4.0May 2023View details →

Seasonal supraglacial pond inventory at five study sites across Hindu Kush, Karakoram and Himalaya during 2017-22

This datasets include the seasonal maps of supraglacial ponds at five study sites (Hindu Kush, Karakoram, western Himalaya, central Himalaya and eastern Himalaya) during 2017-22 of Contrasting Distribution and Evolution of Supraglacial Ponds in the Hindu Kush Karakoram Himalaya Revealed by PlanetScope Imagery and Deep Learning submitted to Remote Sensing of Environment by Xu et al. The data is structured as follows: Once unzipped the data within the archive are five folders structured as follows: subfolder "Hindu Kush", "Karakoram", "Western Himalaya", "Central Himalaya" and "Eastern Himalaya", each subfolder includes shape files of seasonal inventory of supraglacial ponds delineated by deep learning and manual refinement.

opencc-by-4.0May 2023View details →

Seasonality and strain specificity drive rapid co-evolution in a Ostreococcus-virus system from the Western Baltic Sea

Marine viruses are a major driver of phytoplankton mortality and thereby influence biogeochemical cycling of carbon and other nutrients. Phytoplankton-targeting viruses are important components of ecosystem dynamics, but broad-scale experimental investigations of host-virus interactions remain scarce. Here, we investigated in detail a picophytoplankton (size 1 µm) host’s responses to infections by species-specific viruses from distinct geographical regions and different sampling seasons. Specifically, we used Ostreococcus tauri and O. mediterraneus and their viruses (size ca. 100 nm). Ostreococcus sp. are globally distributed and, like other picoplankton species, play an important role in coastal ecosystems at certain times of the year. Further, Ostreococcus sp. are model organisms, and the Ostreococcus-virus system is well-known in marine biology. However, only few studies have researched its evolutionary biology and the implications thereof for ecosystem dynamics. The Ostreococcus strains used here stem from different regions of the Southwestern Baltic Sea that vary in salinity and temperature and were obtained during several cruises spanning different sampling seasons. Using an experimental cross-infection set-up, we explicitly confirm species and strain specificity in Ostreococcus sp. from the Baltic Sea. Moreover, we found the timing of virus-host co-existence, was driver of infection patterns as well. In combination, these findings prove that host-virus co-evolution can be rapid in natural systems.

opencc-by-4.0Apr 2023View details →

Dataset to the article 'Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics'

This repository contains model input files, and pre- and post-processing scripts for the research article: Janek Greskowiak, Stephan L. Seibert, Vincent E.A. Post, Gudrun Massmann (2023), Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics, Estuarine, Coastal and Shelf Science, https://doi.org/10.1016/j.ecss.2023.108418 Data: The folder Laserascannerdata_top_and_hydr_heads contains five cross-shore topography profiles of a high energy beach on Spiekeroog Island, Germany, including a python-script that assembles them to a daily times-series over one year and that calculates the tide-averaged hydraulic heads in the intertidal zone as detailed in Greskowiak and Massmann (2021), The impact of morphodynamics and storm floods on pore water flow and transport in the subterranean estuary, Hydrological Processes, 35:e14050, https://doi.org/10.1002/hyp.14050 Model input: The file Dynamod_1_redox_basecase.zip contains a folder with the model input textfiles (SEAWAT and PHT3D) for the case that considers all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics. The files pht3d_ph.dat and pht3d_datab.dat are PHT3D model specific files defining the reacants and reactions, and have to be copied into the model folder before PHT3D is started. Run models: First the SEAWAT model needs to be run with the name file 'Dynamod_1_redox_basecase.nam'. This creates the mt3d link file 'mt3d_link.ftl'. After that, PHT3D has to be started with the name file 'pht3d.nam' Note that running the models will generate 22 Gybte output. Pre-processing: All model input files were generated with the python-script Dynamod_1_redox_basebase.py using Flopy, a python-based groundwater modelling user-interface: https://www.usgs.gov/software/flopy-python-package-creating-running-and-post-processing-modflow-based-models Post-processing: For the figures 3,4 and S1, S2 in the paper, the corresponding python scripts are provided in this database. Note that with respect to Figures 5 and S3, only the results for the case with all dynamic influence factors (Figure S3_h) are being plotted.   Other model output: Animation_A1_Dynamod_redox.mp4 is a video animation showing the dynamic modelled salinity and temperature distribution, and redox zoning in the subterranean estuary all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.

opencc-by-4.0Jul 2023View details →

Effects of periodic fluctuation of water level on solute transport in seasonal lakes in Poyang floodplain system

The purpose of this study is to investigate the solute transport in seasonal lakes within floodplain systems by means of laboratory experiments and numerical simulations.

openAug 2023View details →

The linkage between methane fluxes and gross primary productivity at diurnal and seasonal scales on a rice paddy field in Eastern China

The data includes the hourly and seasonal data (eddy flux and meteorological data)

Figure 9 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 9. Species accumulation curve for metazoan parasites in Colomesus asellus from the Amazon River, in the eastern Amazon region, Brazil, during the rainy and dry seasons.

Figure 5 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 5. Species accumulation curve for metazoan parasites in Colomesus asellus from the Amazon River, in the state of Amapá, Brazil, collected in 2020 and 2021.

Figure 8 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 8. Diversity parameters of metazoan parasites in Colomesus asellus from the Amazon River, in the eastern Amazon region, Brazil, during the rainy and dry seasons (box plots represent medians, interquartile ranges, minimum–maximum ranges and outliers). Different letters indicate differences between the medians according to Dunn̍ s test (p <0.001).

Figure 2 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 2. Species richness of metazoan parasites in Colomesus asellus from the Amazon River, Brazil, during the two years of sample collection.

Figure 7 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 7. Principal coordinate analysis (PCoA) using a Bray-Curtis distance matrix for communities of metazoan parasites of Colomesus asellus from the Amazon River, in the eastern Amazon region, Brazil, during the rainy and dry seasons. The percentage of the variation explained by the plotted principal coordinates is indicated on the axes.

Figure 4 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 4. Diversity parameters for metazoan parasites in Colomesus asellus from the Amazon River, in the eastern Amazon region, Brazil, collected in 2020 and 2021 (box plots show medians, interquartile ranges, minimum–maximum ranges and outliers). Different letters indicate differences between the medians according to Dunn̍s test (p <0.001).

Figure 1 in Metazoan parasites in Colomesus asellus (Pisces: Tetraodontidae) from Amazon River, in Brazil: an ecological, annual and seasonal study

Figure 1. Collection area for Colomesus asellus in the Amazon River, in the state of Amapá, in the eastern Amazon region, Brazil.