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191 results for “marine ecosystems”
Shortening the runtime using larger time steps for the simulation of marine ecosystem models
<p><strong>Abstract:</strong></p> <p>The reduction of computational costs for marine ecosystem models is important for the investigation and detection of the relevant biogeochemical processes because such models are computationally expensive. In order to lower these computational costs by means of larger time steps we investigated the accuracy of steady annual cycles (i.e., an annual periodic solution) calculated with different time steps. We compared the accuracy for a hierarchy of biogeochemical models showing an increasing complexity and computed the steady annual cycles with offline simulations that are based on the transport matrix approach. For each of these biogeochemical models, we obtained practically the same solution even though larger time steps. This indicates that larger time steps shortened the runtime with an acceptable loss of accuracy.</p> <p><strong>Content:</strong></p> <ul> <li>SQLite database including the obtained results</li> <li>Tracer concentrations obtained with different time steps for all used models and parameter vectors</li> </ul>
Fishing, predation, and temperature drive herring decline in a large marine ecosystem
<p>Since 1960, landings of Atlantic herring have been the greatest of any marine species in Canada, surpassing Atlantic cod and accounting for 24% of the total seafood harvested in Atlantic Canada. The Scotian Shelf-Bay of Fundy herring fisheries (NAFO Division 4VWX) is among Canada's oldest and drives this productivity, accounting for up to 75% of the total herring catch in some years. The stocks' productivity and overall health have declined since 1965. Despite management measures to promote recovery implemented since 2003, biomass remains low and is declining. The factors that drive the productivity of 4VWX herring are primarily unresolved, likely impeding the effectiveness of management actions on this stock. We evaluated potential drivers of herring variability by analyzing 52 time-series that describe the temporal and spatial evolution of the 4VWX herring population and the physical, ecological, and anthropogenic factors that could affect them using structural equation models. Variation in herring biomass was best accounted for by the exploitation rate's negative effect and the geographic distribution of fishing and recruitment. Thermal phenology and temperature adversely and egg predation positively impacted the early life stage mortality rate and, ultimately, adult biomass. These findings are broadly relevant to fisheries management, but particularly for 4VWX herring, where the current management approach does not consider their early life stage dynamics or assess them within the ecosystem or climate change contexts.</p>
Supplementary material 2 from: Garcia Rodrigues J, Conides A, Rivero Rodriguez S, Raicevich S, Pita P, Kleisner K, Pita C, Lopes P, Alonso Roldán V, Ramos S, Klaoudatos D, Outeiro L, Armstrong C, Teneva L, Stefanski S, Böhnke-Henrichs A, Kruse M, Lillebø A, Bennett E, Belgrano A, Murillas A, Sousa Pinto I, Burkhard B, Villasante S (2017) Marine and Coastal Cultural Ecosystem Services: knowledge gaps and research priorities. One Ecosystem 2: e12290. https://doi.org/10.3897/oneeco.2.e12290
Correspondence between our classification and labels for marine and coastal CES as found in the literature
Data and Code for manuscript titled "Global mapping and evolution of persistent fronts in Large Marine Ecosystems over the past 40 years"
<h1>A dataset of global persistent fronts around Large Marine Ecosystems.</h1> <h2>Xing, Q., Yu, H. & Wang, H. Global mapping and evolution of persistent fronts in Large Marine Ecosystems over the past 40 years. Nat Commun 15, 4090 (2024). https://doi.org/10.1038/s41467-024-48566-w</h2>
Datasets for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"
<p>CMIP6-forced EcoOcean data for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"</p> <p> </p>
FIGURE 6 in Description of a new marine planktonic cyanobacterial species Synechococcus moorigangaii (Order Chroococcales) from Sundarbans mangrove ecosystem
FIGURE 6. (A) Growth of Synechococcus moorigangaii sp. nov. in presence of different nitrogen sources; (B) Chlorophyll a concentration of Synechococcus moorigangaii sp. nov. in presence of different nitrogen sources; (C) Growth of Synechococcus moorigangaii sp. nov. in presence of different concentrations of nitrate; (D) Chlorophyll a concentration of Synechococcus moorigangaii sp. nov. in presence of different concentrations of nitrate.
FIGURE 5 in Description of a new marine planktonic cyanobacterial species Synechococcus moorigangaii (Order Chroococcales) from Sundarbans mangrove ecosystem
FIGURE 5. (A) Growth rate of Synechococcus moorigangaii sp. nov. at salinity 15; (B) Chlorophyll concentration of Synechococcus moorigangaii sp. nov. at salinity 15; (C) Salinity tolerance of Synechococcus moorigangaii sp. nov. measured by optical density in presence of salinity 0–40; (D) Chlorophyll a concentration of Synechococcus moorigangaii sp. nov. in presence of salinity 0–40.
FIGURE 2 in Description of a new marine planktonic cyanobacterial species Synechococcus moorigangaii (Order Chroococcales) from Sundarbans mangrove ecosystem
FIGURE 2. FESEM micrographs of isolate CMS01; (A) Single dividing cell; (B and C) Short chain filament; (D) Clusters of short chains.
FIGURE 1 in Description of a new marine planktonic cyanobacterial species Synechococcus moorigangaii (Order Chroococcales) from Sundarbans mangrove ecosystem
FIGURE 1. (A and B) Light micrographs of CMS01; (C) Differential interference contrast micrograph of isolate CMS01; (D) Autofluorescence micrograph of CMS01.
FIGURE 3 in Description of a new marine planktonic cyanobacterial species Synechococcus moorigangaii (Order Chroococcales) from Sundarbans mangrove ecosystem
FIGURE 3. Phylogenetic tree (NJ/ML) of partial 16S rRNA sequences using GTR as a substitution model of deduced 1028 nucleotide long alignment representing 66 sequences including one sequence of Synechococcus moorigangaii sp. nov. (CMS01) generated in this study. Bootstrap values for nodes>50% are shown in the tree. The 16S rRNA sequences of cyanobacterium, Gloeobacter kilaueensis (Acc. no. NR_121746) and Gloeobacter violaceus (Acc. no. FR798924) were chosen as out group.
FIGURE 5 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 5. Neighbor–joining tree based on nifH gene sequences of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. Synechocystis sp. WH8501 was used as an outgroup. The studied cyanobacterial strains were in bold font. A bootstrap test involving 1000 resamplings was performed. Bar, 0.05 substitution rate (K ) units.
FIGURE 4 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 4. Phylogenetic tree based on 16S rRNA gene sequences using the Bayesian algorism, showing the positions of strains Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. Gloeobacter violaceus strain PCC 7421 was used as an outgroup. The studied starins were labelled in bold. Only posterior probabilities ≥ 0.50 were indicated. Bar, 0.03 substitution rate (Knuc) units.
FIGURE 2 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 2. Scanning electron micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. a–e: SCSIO T-2; f–i: SCSIO 43686. Scale bars: a, g=10 μm; b–f, i= 5μm; h=1μm.
FIGURE 1 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 1. Light micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686 (100X). a–c: SCSIO T-2; d–f: SCSIO 43686. a. unbranched and breakage of filaments. b. rounded terminal cell, sometimes extended. c. entangled filements. d. wavy filaments. e. firm sheath contained uniseriate and unbranched trichome. f. filaments reproducing by hormogonia. Scale bars= 10 μm.
FIGURE 3 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 3. Transmission electron micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. a–b. Cross section view of SCSIO T-2. c–d. Longitudinal section view of SCSIO T-2. e–g. Cross section view of SCSIO 43686. h–i. Longitudinal section view of SCSIO 43686. Scale bars: a–b, e–f, h–i= 200μm; c–d= 500 μm; f= 100μm.
FIGURE 6 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 6. Transcript secondary structure of 16S–23S ITS region of Marileptolyngbya sina SCSIO T-2, Salileptolyngbya diazotrophicum SCSIO 43686 and representative sister taxa. (a–e) D1–D1' helix. (f–j) Box B helix. (k–o) V3 helix. a, e, f= SCSIO T-2; b, f, j= SCSIO 43686; c, g, k= Nodosilinea nodulosa UTEX 2910; d, h, l= Leptolyngbya boryana PCC 6306; e, j, o= Haloleptolyngbya alcalis KR2005/106.
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)</p>
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)</p>
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r6)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r6)</p>
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r3)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r3)</p>
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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.