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348 results for “seagrass”

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zenodo36/100

Interaction of seagrass and hydrodynamics

<p>This conceptual diagram visualises the processes acting when waves and flow (e.g. tidal currents) travel across a submerged flexible vegetation patch (e.g. seagrass). The processes can be grouped into (i) hydrodynamic processes (wave height reduction, change of velocity profile, turbulence generation), (ii) plant morphology processes (bending and streamlining of plants, swaying motion of plants, drag acting on plants) and (iii) biological processes (nutrient and gas exchange). Symbol attribution: Integration and Application Network (ian.umces.edu/media-library).</p>

opencc-by-4.0Mar 2015View details →
zenodo36/100

Data and code for: Regional and local variability in the morphometric traits of two emblematic seagrass species (Zostera marina and Zostera noltei) along the French coast

<p>We present here the raw data and scripts to reproduce the results presented in the preprint "Regional and local variability in the morphometric traits of two emblematic seagrass species (Zostera marina and Zostera noltei) along the French coast" available on Zenodo.&nbsp;</p> <p>&nbsp;</p> <p>Preprin abstract:</p> <p><em><span>Zostera marina</span></em><span> and <em>Zostera noltei</em> are two foundation species that play a crucial role in the functioning of coastal ecosystems. They occur in a wide range of environmental conditions over a large geographical area in the northern hemisphere. The aim of this study was to investigate the scales of variability in the dynamics of these two species in relation to environmental conditions in four sites along the French coasts. We used community trajectory analysis, a multivariate statistical approach that allows quantitative measures and comparisons of ecosystem temporal trajectories. We found a significant effect of latitude and tidal regime on the seasonal dynamics of the two species. Populations from the southernmost microtidal site showed a seasonal stability in their morphometric traits and a good resistance to present-day climatic conditions. In the meso- and macrotidal regime sites, hydrodynamics and light have led to very different ecological strategies. On the one hand, high tidal currents increased shoot density and root biomass, while on the other hand, low light and less current favoured the development of long leaves to optimise photosynthesis. Finally, significant variation in meadow development was also observed at the local scale, which requires further investigation to identify the specific drivers. Our discussion suggests that special attention should be paid to interpreting the dynamics of these species according to the scale of observation, and that this diversity of variation scales should be taken into account in conservation measures. In a global context of seagrass bed decline, our study suggests some avenues of research to improve our understanding of seagrass species ecology in order to properly assess the state of coastal waters.</span></p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Data from: Projected loss of brown macroalgae and seagrasses with global environmental change

<p>Data associated with the paper "Projected loss of brown macroalgae and seagrasses with global environmental change" by Federica Manca, Lisandro Benedetti-Cecchi, Corey J. A. Bradshaw, Mar Cabeza, Camilla Gustafsson, Alf M. Norkko, Tomas V. Roslin, David N. Thomas, Lydia White, Giovanni Strona</p>

opencc-by-4.0Dec 2023View details →
dryad36/100

Incorporating generalist seagrasses enhances habitat restoration in a changing environment

<p>Coastal habitat-forming species provide protection and essential habitat for fisheries but their ability to maintain these services are under threat from novel stressors including rising temperatures. Coastal habitat restoration is a powerful tool to help mitigate the loss of habitat-forming species, however, many efforts focus on reintroducing a single, imperiled species instead of incorporating alternatives that are more conducive to current and future conditions. Seagrass restoration has seen mixed success in halting local meadow declines but could begin to specifically utilize generalist seagrasses with climate change-tolerant and opportunistic life history traits including high reproduction rates and rapid growth.</p> <p>Here, we built on decades of successful eelgrass (<em>Zostera marina</em>) restoration in the Chesapeake Bay by experimentally testing seed-based restoration potential of widgeongrass (<em>Ruppia maritima</em>)<em> </em>– a globally distributed seagrass that can withstand wide ranges of salinities and temperatures. Using field experiments, we evaluated which seeding methods yielded highest widgeongrass survival and growth, tested if seeding widgeongrass adjacent to eelgrass can increase restoration success, and quantified how either seagrass species changes restored bed structure, invertebrate communities, and nitrogen cycling.</p> <p>We found widgeongrass can be restored via direct seeding in the fall, and that seeding both species maximized total viable restored area. Our pilot restoration area increased by 98% because we seeded widgeongrass in shallow, high temperature waters that are currently unsuitable for eelgrass survival and thus, would remain unseeded via only eelgrass restoration efforts. Restored widgeongrass<em> </em>had higher faunal diversity and double animal abundance per plant biomass than restored eelgrass, whereas restored eelgrass produced three times greater plant biomass per unit area and higher nitrogen recycling in the sediment.</p> <p><em>Synthesis and applications:</em> Overall, we provide evidence that supplementing opportunistic, generalist species into habitat restoration is a proactive approach to combat climate change impacts. Specifically, these species can increase trait diversity which, for our study, increased total habitat area restored - a key factor to promote seagrass beds' facilitation cascades, stability, and grass persistence through changing environments. Now, we call for tests to determine if the benefits of restoration with generalist species alone or in conjunction with historically dominant taxa are broadly transferrable to restoration in other marine and terrestrial habitats.</p>

opencc-zeroMar 2024View details →
zenodo36/100

Seagrass associated viral genomes

<p>High-quality viral sequences associated with:</p> <p>A genomic resource for exploring bacterial-viral dynamics in seagrass ecosystems</p> <p>Analysis, code, intermediate and supporting files are archived here: <a href="https://doi.org/10.5281/zenodo.14226514">10.5281/zenodo.14226514</a></p> <p>Bacterial metagenome-assembled genomes from this work are archived here: <a href="https://doi.org/10.5281/zenodo.14225974" target="_blank" rel="noopener">10.5281/zenodo.14225974</a><br><br>This archive contains:<br>(i) Fasta file representing the 354 viral sequences in the final catalog described in the above titled work<br>(ii) Metadata file describing the viral catalog (i.e., Table S2 from the above work)</p>

opencc-by-4.0Nov 2024View details →
dryad36/100

Bivalve facilitation mediates seagrass recovery from physical disturbance in a temperate estuary

<p>This dataset describes two experiments done in seagrass beds in Back Sound, North Carolina. Experiment 1 was located in a large<i> </i>contiguous shallow seagrass bed near Cape Lookout, NC<i> </i>(34.668121, -76.509455) and Experiment 2 was located in the Rachel Carson Estuarine Reserve, Beaufort, NC (34.698799, -76.595439). Experiment 1 was a clam-addition/control experiment, and 2018/2019 summer growth rates, 2018/2019 summer biomass cores, and 2018/2019 epiphytic load on <i>Zostera marina </i>and <em>Halodule wrightii </em>were sampled. Experiment 2 was a two-factor experiment looking at clam-addition and excavation and 2019 summer growth rates, 2019/2020 summer biomass cores, and 2019/2020 recolonization and percent cover were sampled. To document the spatial characteristics of the experimental areas, we mapped the extent of the contiguous seagrass bed and the coordinates of the experimental plots and subplots with a Trimble R10 Integrated GNSS system in May 2018, June 2018, and July 2019 for Experiment 1 and April 2019 and July 2019 for Experiment 2 in the NAD83 coordinate system.</p>

opencc-zeroNov 2021View details →
zenodo36/100

Seagrass deformation affects fluid instability and tracer exchange in canopy flow

<p>Data and code used for the preparation of the manuscript &quot;Seagrass deformation affects fluid instability and tracer exchange in canopy flow&quot; (Vieira, Allshouse&nbsp;&amp; Mahadevan&nbsp;2022).</p> <p><em>Data and Code&nbsp;Repository Organization</em></p> <ul> <li><strong>data/&nbsp;</strong>: contains the data presented in the&nbsp;manuscript&nbsp;(in .cdf and .mat format);</li> <li><strong>code/&nbsp;</strong>: contains the code used for the numerical simulations (PSOM) and in processing the&nbsp;data and generating figures &nbsp;(MATLAB)</li> </ul> <p><em>Manuscript Abstract:</em></p> <p>Monami is the synchronous waving of a submerged seagrass bed in response to unidirectional fluid flow. Here we develop a multiphase model for the dynamical instabilities and flow-driven collective motions of buoyant, deformable seagrass. We show that the impedance to flow due to the seagrass results in an unstable velocity shear layer at the canopy interface, leading to a periodic array of vortices that propagate downstream. Each passing vortex locally weakens the along-stream velocity at the canopy top, reducing the drag and allowing the deformed grass to straighten up just beneath it. This causes the grass to oscillate periodically. Crucially, the maximal grass deflection is out of phase with the vortices. A phase diagram for the onset of instability shows its dependence on the fluid Reynolds number and an effective buoyancy parameter. Less buoyant grass is more easily deformed by the flow and forms a weaker shear layer, with smaller vortices and less material exchange across the canopy top. While higher Reynolds number leads to stronger vortices and larger waving amplitudes of the seagrass, waving is maximized at intermediate grass buoyancy. All together, our theory and computations correct some misconceptions in interpretation of the mechanism and provide a robust explanation consistent with a number of experimental observations.</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Resilience of seagrass populations to thermal stress does not reflect regional differences in ocean climate

<p>1. The prevalence of local adaptation and phenotypic plasticity among populations is critical to accurately predicting when and where climate change impacts will occur. Currently, comparisons of thermal performance between populations are untested for most marine species or overlooked by models predicting the thermal sensitivity of species to extirpation.</p> <p>2. Here we compared the ecological response and recovery of seagrass populations (<i>Posidonia oceanica</i>) to thermal stress throughout a year-long translocation experiment across a 2800 km gradient in ocean climate. Transplants in central and warm-edge locations experienced temperatures &gt;29 ºC, representing thermal anomalies &gt;5ºC above long-term maxima for cool-edge populations, 1.5ºC for central and &lt;1ºC for warm-edge populations.</p> <p>3. Cool, central and warm-edge populations differed in thermal performance when grown under common conditions, but patterns contrasted with expectations based on thermal geography. Cool-edge populations did not differ from warm-edge populations under common conditions and performed significantly better than central populations in growth and survival.</p> <p>4. Our findings reveal that thermal performance does not necessarily reflect the thermal geography of a species. We demonstrate that warm-edge populations can be less sensitive to thermal stress than cooler, central populations suggesting that Mediterranean seagrasses have greater resilience to warming than current paradigms suggest.</p>

opencc-zeroJan 2022View details →
dryad36/100

Thermal performance of seaweeds and seagrasses across a regional climate gradient

<p><span>Comparative patterns in thermal performance between populations have fundamental implications for a species thermal sensitivity to warming and extreme events. Despite this, within-species variation in thermal performance is seldom measured. Here we compare thermal performance between-species variation within communities, for two species of seagrass (<i>Posidonia oceanica</i> and <i>Cymodocea nodosa</i>) and two species of seaweed (<i>Padina pavonica</i> and <i>Cystoseira compressa</i>). Experimental populations from four locations spanning approximately 75% of each species global distribution and a 6ºC gradient in summer temperatures were exposed to 10 temperature treatments (15ºC to 36ºC), reflecting median, maximum and future temperatures. Experimental thermal performance displayed the greatest variability between species, with optimal temperatures differing by over 10ºC within the same location. Within-species differences in thermal performance were also important for <i>P. oceanica</i> which displayed large thermal safety margins within cool and warm-edge populations and small safety margins within central populations. Our findings suggest patterns of thermal performance in Mediterranean seagrasses and seaweeds retain deep 'pre-Mediterranean' evolutionary legacies, suggesting marked differences in sensitivity to warming within and between benthic marine communities.</span></p>

opencc-zeroMar 2022View details →
zenodo36/100

Dataset: Experimental carbon emissions from degraded Mediterranean seagrass (Posidonia oceanica) meadows under current and future summer temperatures.

<p>&nbsp;Experimental carbon emissions from degraded Mediterranean seagrass (<em>Posidonia oceanica</em>) meadows.</p> <p>&nbsp;</p> <p>Guillem Roca, Javier Palacios, Sergio Ru&iacute;z-Halpern, N&uacute;ria Marb&agrave;</p> <p>Contact details: Guillem Roca, guillemrocac@gmail.com</p> <p>Issue date:</p> <p>Identifier:</p> <p>&nbsp;</p> <p>Citation: Roca, Guillem; Palacios, Javier; Ru&iacute;z-Halpern, Marb&agrave;, N&uacute;ria;</p> <p>Experimental carbon emissions from degraded Mediterranean seagrass (<em>Posidonia oceanica</em>) meadows. [Dataset]</p> <p>&nbsp;</p> <p>Abstract: The dataset provides data on sediment C0<sub>2 </sub>efflux rates (&mu;mol CO<sub>2 </sub>m<sup>-2 </sup>s<sup>-1</sup>), carbon emissions during the experiment (gm<sup>-2</sup>), % Organic Carbon, Organic Matter content (g m<sup>-2</sup>) of the <em>Posidonia oceanica</em> seagrass sediments collected in Pollen&ccedil;a bay (North of Mallorca Island). Sediments were cultivated in 5 different seawater temperature treatments and two different agitation conditions.</p> <p>&nbsp;</p> <p>Keywords: C0<sub>2 </sub>efflux rates, C0<sub>2</sub> emissions, Sediment, Seagrass, <em>Posidonia Oceanica</em>, experiment, temperature treatment, Sediment suspension Blue carbon, Organic Carbon.</p> <p>&nbsp;</p> <p>Description: The dataset contains data on sediment C0<sub>2 </sub>efflux rates, carbon emissions during the experiment (gm<sup>-2</sup>), % Organic Carbon, Organic Matter content of the <em>Posidonia oceanica</em> seagrass sediments collected in Pollen&ccedil;a bay (North of Mallorca Island). Sediments were cultivated in 5 different seawater temperature treatments and two different agitation conditions. Sediments used in the experiment were extracted in October 2017 from the <em>P. Oceanic</em>a meadow of Pollen&ccedil;a in Mallorca Island at six-meter depth Figure (1). Sediments were sampled in October 2017 using sediment cores (9 cm ID and 30cm long) and directly transported to the laboratory. Only the top 10 cm of the sediment cores were used since this fraction is the most susceptible to erosion. Living seagrass tissues (roots, rhizomes, and leaves) were removed and sediment was mixed and homogenized. 40ml of sediments were poured into glass containers of 750ml with 500ml of seawater. Finally, each recipient contained a sediment layer of approximately 1.1cm in each container. Containers were placed at five different temperature baths (26,27.5, 29, 30.5, 32 &ordm;C) simulating summer temperatures in the bay (Garcias-Bonet et al., 2019) at different agitation regimes (agitation/repose) to simulate exposed and sheltered conditions.10 containers were sampled right after the experiment started to provide initial sediment conditions. Five containers per temperature and agitation treatment were removed 7, 21, 43, 67, and 98 days from the experiment start, to analyse sediment organic matter and CaCO<sub>3</sub> content. CO<sub>2</sub> incubations were run 5, 14, 56,&nbsp; and 91 days from the experiment start. Sampling times were distributed considering that organic matter remineralisation was likely to follow an exponential trend, including a rapid phase of loss of the more labile material followed by a slower loss of more recalcitrant substrates (Arndt et al., 2013). The experiment was run in the dark to avoid photosynthesis in an isothermal chamber at 21&ordm;C.</p> <p>&nbsp;</p> <p><strong>Organic Carbon analysis</strong></p> <p>In each sampling time, organic matter content in sediments (OM %DW) was estimated as the percentage weight loss of dry sediment sample after combustion at 550&ordm;C for 4 hours. Organic carbon (Corg) was calculated from OM content using the relation described in (Mazarrasa et al., 2017b)</p> <p>&nbsp;</p> <p>y = 0.29x &ndash; 0.64; (R2=0.98, p&lt; 0.0001, n=60)</p> <p>&nbsp;</p> <p>OM and POC stocks along the experiment (mg OM ml-1 and mg POC ml-1) were estimated by multiplying the OM and POC (%DW) by the sediment dry weight (mg) remaining in each experimental unit and standardized to the initial volume of sediment (40 ml) introduced in every glass container. Inorganic carbon was estimated as the percentage weight loss of already combusted sediment (550&ordm;C) after combustion at 1000&ordm;C.</p> <p>&nbsp;</p> <p><strong>Sediment CO<sub>2</sub> production</strong></p> <p>Container headspace CO<sub>2</sub> gas concentration was measured during 20 minutes continuum incubations (4 replicates) in each temperature and agitation treatment in all sampling times. CO<sub>2</sub> air concentration measures were carried out using an Infra Red Gas Analyser EGM4 from PPSystems. Concentration of dissolved CO<sub>2</sub> in seawater (in &mu;mol CO<sub>2</sub> L<sup>&minus;1</sup>) was calculated from the concentration of CO<sub>2</sub> (in ppm) measured in headspace air samples after equilibration as described in (Garcias-Bonet and Duarte, 2017; Wilson et al., 2012). Briefly, we calculate the dissolved CO<sub>2</sub> remaining in seawater after equilibration with the air phase ([CO<sub>2</sub>]SW&minus;eq) by,</p> <p>&nbsp;</p> <p>[CO<sub>2</sub>]SW&minus;eq = 10&minus;6 &beta; [C CO<sub>2</sub>]Air P</p> <p>&nbsp;</p> <p>where &beta; is the Bunsen solubility coefficient of CO<sub>2</sub>, calculated according to Wiesenburg and Guinasso (1979), as a function of seawater temperature and salinity; [CO<sub>2</sub>]Air is the CO<sub>2</sub> concentration measured in containers headspace air (in ppm) and P is the atmospheric pressure (in atm) of dry air that was corrected by the effect of multiple sampling applying Boyle&rsquo;s Law. Then, the initial CO<sub>2</sub> concentration in seawater before the equilibrium ([CO<sub>2]SW</sub>&minus;before eq) was calculated (in ml CO<sub>2</sub> /ml H<sub>2</sub>O) by,</p> <p>&nbsp;</p> <p>[CO<sub>2</sub>]<sub>SW&minus;before eq</sub> = ([CH<sub>4</sub>]<sub>SW&minus;eq</sub> V<sub>Sw</sub> + 10&minus;6 ([CO<sub>2</sub>]Air &minus;[CO<sub>2</sub>]<sub>Air background</sub>) V<sub>Air</sub>)/V<sub>SW</sub></p> <p>&nbsp;</p> <p>Where V<sub>Sw</sub> is the volume of seawater in the core or in the seawater closed circuit, [CO<sub>2</sub>]<sub>Air background</sub> is the atmospheric CO<sub>2</sub> background level and V<sub>Air</sub> is the volume of the headspace or the closed air circuit. Finally, the initial CO<sub>2</sub> concentration was transformed to &micro;mol CH<sub>4</sub> L<sup>&minus;1</sup> by applying the ideal gas law.</p> <p>CO<sub>2</sub> efflux values were calculated from CO<sub>2</sub> variation per time unit. Then, we converted the rates to aerial (taking in account container surface) base, and thickness (in &mu;mol m<sup>-2 </sup>s<sup>-1</sup>).</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
dryad36/100

Resilient consumers accelerate the plant decomposition in a naturally acidified seagrass ecosystem

<p>Anthropogenic stressors are predicted to alter biodiversity and ecosystem functioning worldwide. However, scaling up from species to ecosystem responses poses a challenge, as species and functional groups can exhibit different capacities to adapt, acclimate, and compensate under changing environments. We used a naturally acidified seagrass ecosystem (the endemic <em>Mediterranean Posidonia oceanica</em>) as a model system to examine how ocean acidification (OA) modifies the community structure and functioning of plant detritivores, which play vital roles in the coastal nutrient cycling and food web dynamics. In seagrass beds associated with volcanic CO2 vents (Ischia, Italy), we quantified the effects of OA on seagrass decomposition by deploying litterbags in three distinct pH zones (i.e., ambient, low, extreme low pH), which differed in the mean and variability of seawater pH. We replicated the study in two discrete vents for 117 days (litterbags sampled on day 5, 10, 28, 55, and 117). Acidification reduced seagrass detritivore richness and diversity through the loss of less abundant, pH-sensitive species but increased the abundance of the dominant detritivore (amphipod <em>Gammarella fucicola</em>). Such compensatory shifts in species abundance caused more than a three-fold increase in the total detritivore abundance in lower pH zones. These community changes were associated with increased consumption (52-112%) and decay of seagrass detritus (up to 67% faster decomposition rate for the slow-decaying, refractory detrital pool) under acidification. Seagrass detritus deployed in acidified zones showed increased N content and decreased C:N ratio, indicating that altered microbial activities under OA may have affected the decay process. The findings suggest that OA could restructure consumer assemblages and modify plant decomposition in blue carbon ecosystems, which may have important implications for carbon sequestration, nutrient recycling, and trophic transfer. Our study highlights the importance of within-community response variability and compensatory processes in modulating ecosystem functions under extreme global change scenarios.</p>

opencc-zeroMay 2022View details →
dryad36/100

Extensive polyploid clonality was a successful strategy for seagrass to expand into a newly submerged environment

<p>Polyploidy has the potential to allow organisms to outcompete their diploid progenitor(s) and occupy new environments. Shark Bay, Western Australia, is a World Heritage Area dominated by temperate seagrass meadows including Poseidon's ribbon weed, Posidonia australis. This seagrass is at the northern extent of its natural geographic range and experiences extreme temperatures and salinities. Our genomic and cytogenetic assessments of ten meadows identified geographically restricted, diploid clones (2n = 20) in a single location, and widespread, high heterozygosity, polyploid clones (2n = 40) in all other locations. A single polyploid clone spanned at least 180 km, making it the largest known example of a clone in any environment on earth. Whole genome duplication through polyploidy, combined with clonality, may have provided the mechanism for P. australis to expand into new habitats and adapt to new environments that became increasingly stressful for its diploid progenitor(s). The new polyploid clones likely formed in the shallow waters after inundation of Shark Bay &lt; 8,500 years ago and subsequently expanded via vegetative growth into newly submerged habitats.</p>

opencc-zeroMay 2022View details →
dryad36/100

An underwater Serengeti: Seagrass-mediated effects on intake and cultivation grazing behavior of a marine megaherbivore

<p>Populations of green turtles (<em>Chelonia mydas</em>), a megaherbivore that consumes seagrasses via cultivation grazing, are recovering worldwide. Information on plant-mediated effects on herbivore foraging behavior is critical to understanding plant-herbivore interactions and sustainability of grazing as ecosystems continue to change. In a Caribbean seagrass ecosystem, we use stationary cameras and benthic surveys to evaluate effects of seagrass morphology and leaf nitrogen content on green turtle grazing behavior. Thalassia testudinum leaf morphology has significant effects on forage intake (mg dry mass [DM] min-1) for green turtles, whereas leaf nitrogen content has no effect. Intake increases in grazed areas with shorter leaves and higher leaf biomass concentration (mg DM cm-3), indicating more efficient foraging under these conditions. Bite rate (bites min-1) increases in grazed areas with short leaves, a result of reduced search time. Bite size (mg DM bite-1) increases in grazed areas with short but dense canopies, because a turtle crops more shoots with each bite. Increased foraging efficiency and reduced search time in grazed areas with high biomass concentrations collectively maximize intake. Ingested leaves are shorter than the mean height of all available leaves in grazed areas, indicating herbivore selection for shorter leaves. Our estimate for daily intake is 86.1 g DM d-1 per 33-kg turtle. Our study provides a novel contribution on the effects of plant-level cues on the grazing behavior of a marine megaherbivore, and how cultivation grazing behavior optimizes the green turtle foraging strategy by maximizing foraging efficiency and intake.</p>

opencc-zeroJun 2022View details →
dryad36/100

Restoration efforts of the seagrass Posidonia oceanica: a collated evidence review dataset

<p><span>Seagrass meadows are important shallow coastal ecosystems due to their contribution to enhancing biodiversity, nutrient cycling, carbon burial, and sediment stabilisation, but the maintenance of their integrity has been threatened by several anthropogenic disturbances. Active restoration is considered a reliable strategy to enhance recovery of seagrass ecosystems, and decision making for correct seagrass restoration management requires relying on valuable information regarding the effectiveness of past restoration actions and experimental efforts. </span>Previous experimental efforts and human-mediated active restoration actions of the slow growing seagrass <em>Posidonia oceanica</em> have been collated here by combining a literature systematic review and questionnaires consulting seagrass ecology experts. Overall, the poor consistency of the available information on <em>P. oceanica</em> restoration may be due to the wide portfolio of practices and methodologies used in different conditions, that supports the need of further field manipulative experiments in various environmental contexts to fill the identified knowledge gaps. The current situation requires an international, collaborative effort from scientists and stakeholders to jointly design the future strategy forward in identifying the best practices that lead to efficient restorations of <em>P. oceanica</em> habitat and functioning.</p>

opencc-zeroAug 2022View details →
zenodo36/100

Conservation implications of herbicides on seagrasses: sublethal glyphosate exposure decreases fitness in the endangered Zostera capensis

<p>Dataset containing morphological, biomass and chlorophyll responses of the seagrass, Zostera capensis, to sublethal glyphosate exposure over a 3 week exposure period.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Kristineberg Seagrass CH4 & CO2 Timeseries Data

<p>This dataset comprises raw data obtained from measurements conducted within a seagrass meadow located at Kristineberg, Sweden. The dataset originates from continuous timeseries observations across four seasons: late summer, autumn, spring, and early summer. It includes measurements of methane concentration and carbon dioxide partial pressure within the water column. Additional parameters are depth, temperature, salinity, dissolved oxygen, pH, wind speed, and radon decay. The timestamps correspond to the Central European Time zone (CET). This dataset was used to resolve diel and seasonal dynamics of methane and carbon dioxide water-air fluxes over a cold-temperate seagrass meadow.&nbsp;</p> <p>Dataset is found in "Timeseries" sheet.&nbsp;</p> <p>Units, parameter and instrument description are found in "Metadata" sheet.&nbsp;</p>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Database on blue carbon in European seagrass and saltmarsh habitats

<p>This database is a compilation of sediment organic carbon (blue carbon, hereafter) data in European seagrass and saltmarsh habitats. <em><strong>Errata corrige</strong>: please note that the current dataset has two errors in xls sheet named &ldquo;Sediment_SeagrassSaltmarsh&rdquo;: (1) line with Sample ID 8829 - The species name under the column &ldquo;Key species&rdquo; is incorrect.&nbsp; The species name should be removed; (2) </em><em>from lines with Sample ID from 17046 to 17092 - The species name under the column &ldquo;Key species&rdquo; is incorrect. It should be replaced with&nbsp;</em>Cymodocea nodosa<em>. </em><em>Sorry for any inconvenience it may cause.</em></p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Optimizing seagrass conservation for ecological functions

<p>Data used in the publication of &quot;Optimizing seagrass conservation for ecological functions&quot; in Ecosystems</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Differential coping capacities underlie the overall resistance of temperate seagrasses to herbivory

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
dryad36/100

Data from: An unintended ecological benefit from human intervention: The enhancement of carbon storage in seagrass meadows

<p>Human interventions have had unintended consequences for the diverse functions of various ecosystems. Hydrological interventions have the potential to alter vegetated habitats in coastal nearshore ecosystems, but little is known about the impacts on organic carbon (C<sub>org</sub> ) sequestration, which plays an important role in climate change mitigation.</p> <p>We examined the effects of past human interventions through artificial inlet opening in a lagoonal seagrass meadow. The sediment profiles of geological and biogeochemical characteristics were measured to obtain the historical changes in the lagoon environment and C<sub>org</sub> accumulation rates.</p> <p>Isotopic and elemental signatures and diatom assemblages showed that the interventions increased the duration of seawater exchanges and the extent of the seagrass meadow. C<sub>org</sub> accumulation rates increased more than 1.9-fold after the intervention, resulting in additional C<sub>org</sub> storage in the seagrass meadow during last 64 years.</p> <p><i>Synthesis and applications</i>. Artificial opening of tidal inlet can potentially provide unintended ecological benefits, such as increased carbon sequestration in seagrass meadows. Hydrological interventions could be undertaken intentionally as a potential active intervention to sequester carbon, as well as control flood risk and provide other benefits to people in estuarine systems. Our results illustrate that physical factors such as improving salinity conditions and mineral particle supply have an impact on the feasibility of hydrological interventions for enhancing carbon sequestration. We propose that biogeochemical-physical coupled approach will help stakeholders to evaluate the ecological and social risks and synergies of implementing hydrological interventions.</p>

opencc-zeroJul 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record