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191 results for “marine ecosystems”
Data from: Ecosystem productivity is associated to bacterial phylogenetic distance in surface marine waters
Understanding the link between community diversity and ecosystem function is a fundamental aspect of ecology. Systematic losses in biodiversity are widely acknowledged but the impact this may exert on ecosystem functioning remains ambiguous. There is growing evidence of a positive relationship between species richness and ecosystem productivity for terrestrial macroorganisms, but similar links for marine microorganisms, which help drive global climate, are unclear. Community manipulation experiments show both positive and negative relationships for microbes. These previous studies rely, however, on artificial communities and any links between the full diversity of active bacterial communities in the environment, their phylogenetic relatedness, and ecosystem function remains hitherto unexplored. Here we test the hypothesis that productivity is associated to diversity in the metabolically active fraction of microbial communities. We show in natural assemblages of active bacteria that communities containing more distantly related members were associated with higher bacterial production. The positive phylogenetic diversity–productivity relationship was independent of community diversity calculated as the Shannon index. From our long-term (7-year) survey of surface marine bacterial communities we also found that similarly productive communities had greater phylogenetic similarity to each other, further suggesting that the traits of active bacteria are an important predictor of ecosystem productivity. Our findings demonstrate that the evolutionary history of the active fraction of a microbial community is critical for understanding their role in ecosystem functioning.
Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf
<p>Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf</p>
Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf
<p>Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf</p>
Figure 8-11 from: Younis EM, Al-Asgah NA, Abdel-Warith A-WA, Gabr MH, Shamlol FS (2020) Analysis of reproductive biology and spawning season of the pink ear emperor Lethrinus lentjan, from marine ecosystem. Zoologia 37: 1-10. https://doi.org/10.3897/zoologia.37.e48475
Figure 8-11 Histological sections in the ovary of L. lantjan showing the maturation stages of female: (8) immature; (9) early maturation; (10) maturity; (11) spawning. (AO) atretic oocytes, (CY) coalesced secondary oocytes, (EF) empty follicles, (HY) hydrated oocytes, (LP) late perinucleolar, (PP) pre-perinucleolar, (PY) primary yolk vesicle oocytes, (SY) secondary yolk vesicle oocytes.
Figure 5-7 from: Younis EM, Al-Asgah NA, Abdel-Warith A-WA, Gabr MH, Shamlol FS (2020) Analysis of reproductive biology and spawning season of the pink ear emperor Lethrinus lentjan, from marine ecosystem. Zoologia 37: 1-10. https://doi.org/10.3897/zoologia.37.e48475
Figure 5-7 Histological sections in the testis of L. lantjan showing the maturation stages of male: (5) immature; (6) maturity; (7) spawning. (Ps) primary spermatocytes, (Ss) secondary spermatocytes, (S) sperm, (St) spermatids, (Sg) spermatogonia, (Sc& S) sperm cells and sperms outside the seminal vesicles
Unique steady annual cycle in marine ecosystem model simulations
<p><strong>Abstract:</strong></p> <p>Marine ecosystem models are important to assess the ocean biota's role in climate change and to identify relevant biogeochemical processes by validating the model outputs against observational data. For the assessment of the marine ecosystem models, the existence and uniqueness of an annually periodic solution (i.e., a steady annual cycle) is desirable. To analyze the uniqueness of a steady annual cycle, we performed a larger number of simulations starting from different initial concentrations for a hierarchy of biogeochemical models with an increasing complexity. The numerical results suggested that the simulations finished always with the same steady annual cycle regardless of the initial concentration. Due to numerical instabilities, inadmissible approximations of the steady annual cycle, however, occurred in some cases for the three most complex biogeochemical models. Our numerical results indicate an unique steady annual cycle for practical applications.</p> <p><strong>Content:</strong></p> <ul> <li>Files with the tracer concentrations of the reference solution</li> <li>Files including the different initial tracer concentrations which are not constant</li> <li>SQLite database including the results of the different simulations starting from various initial concentrations</li> <li>Files with the tracer concentrations of the different simulations starting from various initial concentrations</li> </ul>
Beagle kelp maps from: One of the least disturbed marine coastal ecosystems on Earth: Spatial and temporal persistence of Darwin's sub-Antarctic giant kelp forests
<p>Aim: Marine habitats and their dynamics are difficult to systematically monitor, particularly those in remote locations. This is the case with the sub-Antarctic ecosystem of the giant kelp <i>Macrocystis pyrifera</i>, which was already noted by Charles Darwin in his accounts on the <i>Voyage of the Beagle</i> and recorded on the nautical charts made during that expedition. We combined these and other nautical charts from the 19th and early 20th centuries with surveys conducted in the 1970s and 1980s and satellite detection algorithms from 1984 to 2019, to analyse kelp distribution through time and the factors that correlate with it.</p> <p>Location: Marine ecoregions of Channels and Fjords of Southern Chile, Falkland Islands (Malvinas), and the island of South Georgia.</p> <p>Taxon: <i>Macrocystis pyrifera</i>.</p> <p>Methods: We characterised 309 giant kelp forests by their coastal geospatial attributes. Statistically significant variables were included in a conditional inference tree to predict kelp forest size. Sea surface temperature (SST) records were analysed to confirm temperature ranges over the last four decades. Nautical charts, historical surveys, aerial photogrammetry, unmanned aerial vehicle (UAV) surveys and satellite imagery were overlaid to assess spatial distribution of kelp forest canopies, spanning the period 1829–2020.</p> <p>Results: Considering the extensive natural and human caused changes over the last two centuries, this diverse kelp ecosystem is remarkably persistent. We found that the ocean currents and wave exposure, combined with the geomorphological settings of the coastline are the most critical factors predicting the extent of the kelp forests.</p> <p>Main conclusions: We have described the long-term ecological persistence of the kelp forests in this vastly under-studied region that offers a conceptual biogeographical model supporting the global importance proposed by Charles Darwin 200 years ago (Darwin, 1845). In the current context of global change, the need for conservation of this persistent and well-preserved marine ecosystem has never been more important.</p>
Supplementary material 4 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
Overview of the methods and indicators used to assess marine and coastal CES
Supplementary material 3 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
List of papers included in the literature synthesis
Supplementary material 1 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
PRISMA checklist
Fig. 4 in Phenology of Anemonia viridis and Exaiptasia diaphana (Cnidaria: Anthozoa) from marine temperate ecosystems Abstract
Fig. 4: Reproductive biology of Anemonia viridis (A-C) and Exaiptasia diaphana (D-F). The histograms show variations in number of female (A, D) and male (C, F) gonads and number of oocytes per gonad (B, E) in each species throughout the period July 2013- July 2014.
EduLifeDesks Archive: Biology 260 Occidental College - Biodiversity & Organization of Marine Ecosystems
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APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r1)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r1).</p>
Primary detection records for aquatic nonindigenous species in global estuarine and marine ecosystems and the Great Lakes
<p><strong>Aim</strong></p> <p>The introduction of aquatic non-indigenous species (ANS) has become a major driver for global changes in species biogeography. We examined spatial patterns and temporal trends of ANS detections since 1965 to inform conservation policy and management. </p> <p><strong>Location</strong></p> <p>Global</p> <p><strong>Methods</strong></p> <p>We assembled an extensive dataset of first records of detection of ANS (1965-2015) across 49 aquatic ecosystems, including the i) year of first collection, ii) population status and iii) potential pathway(s) of introduction. Data were analysed at global and regional levels to assess patterns of detection rate, richness, and transport pathways. </p> <p><strong>Results</strong></p> <p>An annual mean of 43 (± 16 S.D.) primary detections of ANS occurred – one new detection every 8.4 days for 50 years. The global rate of detections was relatively stable during 1965-1995, but increased rapidly after this time, peaking at roughly 66 primary detections per year during 2005-2010, then declining marginally. Detection rates were variable within and across regions through time. Arthropods, molluscs and fishes were the most frequently reported ANS. Most ANS were likely introduced as stowaways in ships' ballast water or biofouling, although direct evidence is typically absent. </p> <p><strong>Main conclusions</strong></p> <p>This synthesis highlights the magnitude of recent ANS detections, yet almost certainly represents an underestimate as many ANS go unreported due to limited search effort and diminishing taxonomic expertise. Temporal rates of detection are also confounded by reporting lags, likely contributing to the lower detection rate observed in recent years. There is a critical need to implement standardized, repeated methods across regions and taxa to improve the quality of global-scale comparisons and sustain core measures over longer timescales. It will be fundamental to fill in knowledge gaps given that invasion data representing broad regions of the world's oceans are not yet readily available and to maintain knowledge pipelines for adaptive management. </p>
Supplementary material 2 from: Gomez Cardona CJ, Moreno JY, Contreras A, Sanchez-Nuñez DA, Arciniegas Moreno N, Guerrero D, Viloria Maestre EA, Lopez Navarro J (2023) Accounting of marine and coastal ecosystems at the Ramsar Site, Estuarine Delta System of the Magdalena River, Ciénaga Grande de Santa Marta, Colombia. One Ecosystem 8: e98852. https://doi.org/10.3897/oneeco.8.e98852
Ecosystem type change matrix (ha) in the CGSM Ramsar site for the period 2012-2018
Supplementary material 1 from: Gomez Cardona CJ, Moreno JY, Contreras A, Sanchez-Nuñez DA, Arciniegas Moreno N, Guerrero D, Viloria Maestre EA, Lopez Navarro J (2023) Accounting of marine and coastal ecosystems at the Ramsar Site, Estuarine Delta System of the Magdalena River, Ciénaga Grande de Santa Marta, Colombia. One Ecosystem 8: e98852. https://doi.org/10.3897/oneeco.8.e98852
Ecosystem extent account (ha) in the CGSM Ramsar Site for the 2012-2018 accounting period
Data from: How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems
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Beagle kelp maps from: One of the least disturbed marine coastal ecosystems on Earth: Spatial and temporal persistence of Darwin’s sub-Antarctic giant kelp forests
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Data from: Ecosystem productivity is associated to bacterial phylogenetic distance in surface marine waters
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Local thermal adaptation and limited gene flow constrain future climate responses of a marine ecosystem engineer
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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.