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233 results for “seasonal dynamics”
Fig. 16 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 16: Size-frequency distribution of trap landings. ML = mantle length.
Seasonal precipitation distribution determines ecosystem CO₂ and H₂O exchange by regulating spring soil water-salt dynamics in a brackish wetland
<p>The intensification of the global hydrological cycle is anticipated to increase the variability of precipitation patterns. Brackish wetlands respond to changes in precipitation patterns by regulating the absorption and release of CO<sub>2</sub> and H<sub>2</sub>O to maintain the stability of ecosystem functions. However, there is limited understanding of how the inter-seasonal precipitation distribution affects ecosystem CO<sub>2</sub> and H<sub>2</sub>O exchange compared to annual precipitation totals. Here, we conducted four consecutive years of field experiments in a brackish wetland, manipulating the proportion of precipitation across different seasons while maintaining a constant annual precipitation total. We utilized five inter-seasonal precipitation distribution proportions (+73%, +56%, control (CK), -56%, and -73%) to examine the effects of seasonal precipitation distribution (SPD) on ecosystem CO<sub>2</sub> and H<sub>2</sub>O exchange. Our findings revealed that the ecosystem CO<sub>2</sub> and H<sub>2</sub>O fluxes showed a trend of decreasing with the decrease of spring precipitation distribution. Among them, the annual net ecosystem CO<sub>2 </sub>exchange (NEE), evapotranspiration (ET), carbon use efficiency (CUE), and water use efficiency (WUE) were shown to be more sensitive to decrease in spring precipitation distribution and increase in summer and autumn precipitation distribution. This negative asymmetric response pattern suggests that annual ecosystem CO<sub>2</sub> and H<sub>2</sub>O exchange is primarily governed by seasonal precipitation variability, with spring soil water-salt dynamics identified as the key driver. Therefore, this association can be explained by the fact that drought of the early growth stage exacerbates soil salinization and inhibits vegetation colonization and growth, thereby greatly impairing the annual CO<sub>2</sub>-H<sub>2</sub>O exchange capacity of brackish wetlands. Our results emphasized that the spring's extreme precipitation-induced soil water-salt conditions will greatly influence CO<sub>2</sub> and H<sub>2</sub>O exchange in brackish wetlands in the future. These findings are crucial for improving predictions of the carbon sequestration and water-holding capacity of brackish wetlands.</p>
Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization (DataSet)
<p>Data from the article: <br>"Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization", L. Reyes, K. Campos, G. D. Avendaño, L. González-Paz, A. Vivas, Y. J. Alvarado, and S. Flores.</p> <p>Data to be used with some implementation of the forecasting method of reference:<br>Sugihara G. and May R. M., Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series, <em>Nature</em> <strong>344</strong>, 734–741 (1990).</p>
Tree rings as a proxy for seasonal precipitation variability and Early Neolithic settlement dynamics in Bavaria, Germany
<p>The file contains original measurements of total ring width (TRW) of 540 subfossil oak trees from the Main region (southern Germany) spanning the period from 6228 to 4057 BCE (2172 years).</p> <p>Latitude: 49.6-50.2°N</p> <p>Longitude: 10.2-11.2°E</p> <p>Resolution of measurement: 0.01 mm</p> <p>File format: Tucson (.tuc)</p>
Figure 1 in Spider assemblages and dynamics on a seasonal island in the Pripyat River, Belarus
Figure 1. Location of the study area – Belarus, the Turov Meadows at the Pripyat River (●).
Forecasting model of seasonal dynamics of boll weevil Anthonomus grandis grandis (Coleoptera: Curculionidae) in cotton crops using artificial neural networks
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Seasonal Changes of Mélange Thickness Coincide With Greenland Calving Dynamics
<p>Supp_dataset.docx lists the ArcticDEM tiles, ICESat-2, Landsat, Sentinel-1 and Sentinel-2 Imagery files used in this study. </p> <p>Figures_MainText.zip contains the source data and MATLAB codes to reproduce Figure 1 to Figure 8 presented in the main text. The ReadMe.txt file in each folder includes instructions on how to reproduce the corresponding figure. </p> <p>demo_codes_CodeOcean.zip contains the sample code and data file to reproduce Figure 13(a)(d) in the supplemental material (Melange surface elevation profile at Jakobshavn on 19 Apr 2014, from ArcticDEM). User can run the Hx_distribution.m file, which calls peakFit.m function and dpROI_Jakob_20140419.mat data file, and to obtain the figure. This folder has been uploaded to code ocean portal as well (https://codeocean.com/capsule/4948451/tree). </p> <p>Termini_offset_tide.xlsx contains the elevation offsets applied on the 108 ArcticDEM strips for the 32 Greenland glacier termini, with corresponding ArcticDEM strip acquisition dates and Mosaic DEM tiles for coregistration.</p> <p>GlacierID_GlacierName.zip folders contain two types of files: 1) points_yymmdd.csv contains point ID, x and y coordinates in polar stereographic projection (EPSG: 3413). The first and second points (ID=1, 2) delineate the glacier terminus segment, and the third to the last points (ID=3, N) delineate the region of interest of proglacial melange from the corresponding ArcticDEM strip acquired on the same date (yymmdd); 2) dpROI_yymmdd.mat contains all data points from the ArcticDEM strip cropped by the melange region of interest. Every row represents one data point from ArcticDEM, the first to fourth column corresponds to i) x coordinate in polar stereographic projection (EPSG: 3413); ii) y coordinate in polar stereographic projection (EPSG: 3413); iii) elevation above mean sea level in meters before coregistration; and iv) distance of the data point from the terminus segment in meters. Column iii) and iv) are used to plot the melange surface elevation (or thickness) profile as a function of distance from terminus. </p> <p>Hx_distribution.m is the MATLAB file (calling the function peakFit.m) that plots the melange surface elevation profile as a function of distance from terminus (Z(x)), providing the dpROI_yymmdd.mat file.</p> <p>ICESat-2_allData.zip folder contains the ICESat-2 data presented in Figure 2 in the main text (seasonal melange surface elevation profiles for Jakobshavn, Kangerlussuaq, and Store glaciers). Figure 2 in the main text can be reproduced by running the MATLAB code inside the folder (Fig_H_x_disToTerm.m), which includes the geoid and tidal corrections on the ICESat-2 raw data files. </p> <p> </p> <p> </p> <p> </p>
Coopetition as an ecological dynamic: interactions between dense seasonal macroalgal mats and oysters on temperate shellfish reefs
<p>We document the proliferation of dense algal mats on intertidal oyster reefs in the Southeastern USA. We also use data from a small field experiment to understand the effects that oysters have on macroalgae. The data and code included here can be used to replicate all analyses and figures in the manuscript.</p>
Fig. 1 in Notes on the seasonal dynamics of the coprophagous Hydrophilidae (Coleoptera) in western Turkey, with first record of Megasternum concinnum for Turkish fauna
Fig. 1: Map of the study area, western Turkey.
An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SMv1)
<p>This is the companion data for the manuscript of the same title, submitted to Journal of Advances in Modeling Earth Systems on 09/03/2021. </p> <p><strong>summer: </strong>this folder contains part of the model outputs I ran on NERSC Cori in 2020-2021 corresponding to the summer simulations in the manuscript.</p> <p><strong>winter: </strong>this folder contains part of the outputs I ran on NERSC Cori in 2020-2021 corresponding to the winter simulations in the manuscript.</p> <p><strong>ne256: </strong>this folder contains part of the outputs I ran on NERSC Cori in 2021 corresponding to the ne256 simulations in the manuscript.</p> <p><strong>bubble</strong>: this folder includes the namelists used in the rising bubble experiments.</p> <p><strong>script: </strong>this folder includes an example of a script to generate the realistic SCREAM simulation </p> <p> </p> <p>Unfortunately, model outputs are too large (~ 30 TB). Therefore, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC. </p> <p>For more details, refer to the manuscript, or contact me (wrliu@ucdavis.edu). </p>
Seasonal dynamics of sinking organic matter in the Pacific Arctic Ocean revealed by nitrogen isotope ratios of amino acids
<p><span>The Pacific Arctic Ocean has experienced a rapidly changing climate, sea-ice retreat, and enhanced primary production over the past few decades. The export production generated by photoautotrophs and heterotrophs has been characterized in the Arctic Ocean, but their seasonal variations in relative proportion are largely unknown due to the limited access in the ice-covered season. We measured the concentration and nitrogen isotope ratio of individual amino acids from sinking particles in the northern east Siberian Sea (KAMS1), northern Chukchi Sea (KAMS2), and Northwind Ridge (KAMS4) from August 2017 to July 2019. </span><span>The average trophic position, based on differences in the nitrogen isotope ratios of glutamic acid and phenylalanine, can indicate the relative proportions of biogenic organic matters derived from photoautotrophs and heterotrophs in sinking particles. Decreasing values (close to 1.0) in summer at KAMS2 in 2018 suggest that primary producers are responsible for most of the downward flux of sinking particles. However, the average trophic position at KAMS1 in 2017 increased to > 1.5 in autumn and was maintained at approximately 1.7 during ice-covered winter periods, likely due to greater contributions from heterotrophic organisms. Exceptionally high average trophic positions (close to 2.0) of sinking particles in summer at KAMS1 in 2017 and KAMS4 in 2018 were likely due to small export of photoautotrophs due to the surface seawater stratification and limited pelagic production. </span><span>T</span><span>he average trophic position in sinking particles should reflect the spatiotemporal variation in export particle composition in the </span><span>Pacific Arctic Ocean</span><span>.</span></p>
Flight altitude dynamics of migrating European nightjars across regions and seasons
<p>Avian migrants may fly at a range of altitudes, but usually concentrate near strata where a combination of flight conditions is favourable. The aerial environment can have a large impact on the performance of the migrant and is usually highly dynamic, making it beneficial for the bird to regularly check the flight conditions at alternative altitudes. We recorded the migrations between northern Europe and sub-Saharan Africa of European nightjars <em>Caprimulgus europaeus</em> to explore their altitudinal space use during spring and autumn flights to test whether their climbs and descents were performed according to predictions from flight mechanical theory. The nightjars commonly operated at ascent rates below the theoretical maximum, and periods of descent were commonly undertaken by active flight, and rarely by energetically cheaper gliding flight, allowing the birds to sink at lower rates than possible during a best glide scenario. Spring migration across all regions was associated with more exploratory vertical flights involving major climbs, a higher degree of vertical displacement within flights, and less time spent in level flight, although flight altitude <i>per se</i> was only higher during the Sahara crossing. This study demonstrates a surprisingly frequent use of slow vertical displacements during migratory flights of a long-distance avian migrant and show how these behaviours vary between seasons and regions, presumably in response to different flight conditions. The results should inspire future studies on the potential costs associated with frequent altitude changes and their trade-offs against anticipated flight condition improvements for aerial migrants.</p>
Earlier onset and shortened Meiyu season during the Last Interglacial based on dynamical downscaling simulations
<p>This dataset includes the model outputs that could be used to reproduce the figures in our paper. A detailed description of the dataset is given in the word file.</p>
Defensive symbiosis in the wild: seasonal dynamics of parasitism risk and symbiont-conferred resistance
<p class="MsoNormal"><span>Parasite-mediated selection can rapidly drive up resistance levels in host populations, but fixation of resistance traits may be prevented by costs of resistance. Black bean aphids (<em>Aphis fabae</em>) benefit from increased resistance to parasitoids when carrying the defensive bacterial endosymbiont <em>Hamiltonella defensa</em>. However, due to fitness costs that come with symbiont infection, symbiont-conferred resistance may result in either a net benefit or a net cost to the aphid host, depending on parasitoid presence as well as on the general ecological context. Balancing selection may therefore explain why in natural aphid populations, <em>H. defensa</em> is often found at intermediate frequencies.<strong> </strong>Here we present a two-year field study where we set out to look for signatures of balancing selection in natural aphid populations. We collected temporally well-resolved data on the prevalence of <em>H. defensa</em> in <em>A.f. fabae</em> and estimated the risk imposed by parasitoids using sentinel hosts.<strong> </strong>Despite a marked and consistent early-summer peak in parasitism risk and significant changes in symbiont prevalence over time, we found just a weak correlation between parasitism risk and <em>H. defensa </em>frequency dynamics. <em>H. defensa </em>prevalence in the populations under study was, in fact, better explained by the number of heat days that previous aphid generations were exposed to.<strong> </strong>Our study grants an unprecedentedly well-resolved insight into the dynamics of endosymbiont and parasitoid communities of <em>A.f. fabae </em>populations, and it adds to a growing body of empirical evidence suggesting that not only parasitism risk but rather multifarious selection is shaping <em>H. defensa</em> prevalence in the wild.</span></p>
Data from: Changing with the times: Seasonal environmental gradients unveil dynamic bat assemblages and vulnerability
<p>Uncovering the temporal and spatial dynamics of biological communities in response to biotic and abiotic drivers is essential to predict the effects of environmental change on biodiversity. Similarly, estimating species vulnerability in the face of such dynamics is crucial for implementing effective conservation actions. We explored how bat diversity changes over the year across an altitudinal gradient and identified the environmental drivers that shape bat communities. By analysing species' marginality within the biophysical niche space, we evaluated bats' vulnerability to foreseeable environmental changes. Our results suggest that altitude, the proportion of forest cover and shrubs cover are the main drivers shaping bat communities year-round. Additionally, while some bat species are restricted to a single ecological assemblage (or ecological preferences group), others show greater plasticity throughout the year. Importantly, we found that although bats associated with highland habitats and forests could be particularly vulnerable to environmental changes (in particular <em>Myotis mystacinus</em>), this vulnerability correlates poorly with their national conservation status. We suggest that species' ecological plasticity is critical for the resilience of biological communities exposed to environmental changes and should be considered when planning tailored conservation strategies.</p>
Population dynamics and seasonal migration patterns of Spodoptera exigua in northern China based on 11 years of monitoring data
<p>The beet armyworm, <em>Spodoptera exigua </em>(Hübner) is an important migratory pest worldwide that has caused serious economic losses in the main crop-producing areas of China. To effectively monitor and control this pest, it is necessary to investigate its interannual and seasonal migration patterns in northern China. In this study, we weekly monitored the population dynamics of <em>S. exigua</em> using sex pheromone traps in Shenyang, Liaoning Province from 2012 to 2022 and simulated the migration trajectories using the HYSPLIT model. Overall, the migration numbers varied significantly among years, with large migrations in 2018 and 2020 that resulted in a total catch of more than 2000 individuals. </p>
Rainfall seasonality shapes belowground root trait dynamics in an Amazonian tropical rainforest: A test of the stress-dominance hypothesis
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Defensive symbiosis in the wild: seasonal dynamics of parasitism risk and symbiont-conferred resistance
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Data from: Hierarchical variation in phenotypic flexibility across timescales and associated survival selection shape the dynamics of partial seasonal migration
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Code from: Climate, ecological dynamics, and the seasonal distribution of birds in mountains
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.