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372 results for “functional group”
FIGURE 2 in Body size responses to land use in stream fish: the importance of different metrics and functional groups
FIGURE 2 | Location of the 40 stream sites where fish communities were sampled in South Brazilian grassland biome (Pampa).
(DATASET) (10,0) carbon nanotubes functionalized with carboxyl and hydroxyl organic groups
<p>Starting from a (10,0) carbon nanotube, 10 000 structures where randomly generated for both functionalizations (carboxyl, -COOH, and hydroxyl, -OH) and for 5 concentrations of the surface being funcionalized (5%, 10%, 15%, 20% and 25%). Then, the entropy of all system was calculated. The structures with highest entropy on each group/percentage where selected as representative of each functionalization.</p> <p>Here are the structures of functionalized (10,0) carbon nanotubes in MOL2 and XYZ formats.</p> <p>These systems were used in the following publications:</p> <ul> <li>M.S. Ribeiro, A.L. Pascoini, W.G. Knupp, I. Camps. <em>Effects of surface functionalization on the electronic and structural properties of carbon nanotubes: A computational approach</em>. Applied Surface Science 426 (2017) 781–787. DOI: <a href="http://dx.doi.org/10.1016/j.apsusc.2017.07.162">10.1016/j.apsusc.2017.07.162</a></li> <li>W.G. Knupp, M.S. Ribeiro, M. Mir, I. Camps. <em>Dynamics of hydroxyapatite and carbon nanotubes interaction</em>. Applied Surface Science 495 (2019) 143493. DOI: <a href="https://doi.org/10.1016/j.apsusc.2019.07.235">10.1016/j.apsusc.2019.07.235</a></li> </ul>
Fig. 6 in Live coral predation by parrotfishes (Perciformes: Scaridae) in the Abrolhos Bank, eastern Brazil, with comments on the classification of species into functional groups
Fig. 6. (a) Scars caused by large individuals (> 40 cm TL) and (b) scrapes caused by small individuals (20-40 cm TL) of Scarus trispinosus on crustose calcareous algae.
Fig. 4 in Live coral predation by parrotfishes (Perciformes: Scaridae) in the Abrolhos Bank, eastern Brazil, with comments on the classification of species into functional groups
Fig. 4. Bite scars of Sparisoma amplum (a and b) and Scarus trispinosus (c and d) on the corals Montastrea cavernosa (top) and Siderastrea spp. (bottom).
Fig. 3 in Live coral predation by parrotfishes (Perciformes: Scaridae) in the Abrolhos Bank, eastern Brazil, with comments on the classification of species into functional groups
Fig. 3. Focused biting behavior by Sparisoma amplum. (a) Initial-phase individual biting a colony of Mussismilia braziliensis; (b) partial and (c) almost complete coral colony mortality due to Sp. amplum predation; (d) a discrete group of excavated colonies of M. braziliensis on the edge of a Sp. amplum territory.
Fig. 3 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 3. The relative abundance distribution Whittaker plots comparing families and functional feeding groups (FFG) (A), family to the Stochastic normal and Random fraction models (B) and FFG to the Stochastic normal and Random fraction models (C) for an arthropod community of grassland habitat in the Free State Province, South Africa.
Fig. 1 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 1. The relationship between family and functional feeding group (FFG) richness (A), Shannon diversity (B) and Simpson diversity (C) of arthropods in a grassland habitat in the Free State Province, South Africa between April 2009 and March 2010. Text represents the results of an F-test associated with an ANCOVA analysis comparing FFG with the covariable family and the confounding factor of sampling month.
Fig. 2 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 2. The observed (A) and smoothed through permutation (999 times, without replacement) (B) proportional accumulation curves for arthropod family (n=108) and functional feeding group (n=36) richness occurring in 360 (100 sweeps) samples of grassland habitat in the Free State Province, South Africa.
Implementing Group Physical Therapy (PT) for Veterans With Knee Osteoarthritis (Group PT): Function QUERI 2.0
ClinicalTrials.gov study NCT05282927. IPD Sharing: YES. Countries: 1. Publications: 3.
Data from: Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups
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Data from: Unique roles of functional group of submerged macrophytes on ecosystem functions
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Data and code from: Species interactions amplify functional group responses to elevated CO2 and N enrichment in a 24-year grassland experiment
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Data from: Variation in biodiversity and abundance of functional groups of arthropods along a tropical elevational gradient in Puerto Rico
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Data from: Impact of plant functional group and species removals on soil and plant nitrogen and phosphorus across a retrogressive chronosequence
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Data from: Comparing regression-based approaches for identifying microbial functional groups
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Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning
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MCR LTER: Coral Reef: Changes in the abundance of fish functional groups: Adam et al. 2014 Oecologia
These data were generated from two long-term time series (knb-lter-mcr.4 and knb-lter-mcr.6) in order to analyze the relationship between the cover of live and dead branching corals and changes in the abundance of different functional groups of fishes following the loss of coral on the fore reef of Moorea due to an outbreak of corallivorous crown-of-thorns sea stars (Acanthaster planci) and a tropical cylcone. Analyses were conducted in support of an ecological manuscript published in Oecologia Adam, T. C., Brooks, A. J., Holbrook, S. J., Schmitt, R. J., Washburn, L., Bernardi, G. How will coral reef fish communities respond to climate-driven disturbances? Insight from landscape-scale perturbations. Global climate change is rapidly altering disturbance regimes in many ecosystems including coral reefs, yet the long-term impacts of these changes on ecosystem structure and function are difficult to predict. A major ecosystem service provided by coral reefs is the provisioning of physical habitat for other organisms, and consequently, many of the effects of climate change on coral reefs will be mediated by their impacts on habitat structure. Therefore, there is urgent need to understand the independent and combined effects of coral mortality and loss of physical habitat on reef-associated biota. Here, we use a unique series of events affecting the coral reefs around the Pacific island of Moorea, French Polynesia to differentiate between the impacts of coral mortality and the degradation of physical habitat on the structure of reef fish communities. We found that by removing large amounts of physical habitat, a tropical cyclone had larger impacts on reef fish communities than an outbreak of coral-eating sea stars that caused widespread coral mortality but left the physical structure intact. In addition, the impacts of declining structural complexity on reef fish assemblages accelerated as structure became increasingly rare. Structure provided by dead coral colonies can t
Seaweed functional diversity revisited: confronting traditional groups with quantitative traits
<p class="CxSpFirst">1. Macroalgal (seaweed) beds and forests fuel coastal ecosystems and are rapidly reorganising under global change, but quantifying their functional structure still relies on binning species into coarse groups on the assumption that they adequately capture relevant underlying traits.</p> <p>2. To interrogate this 'group gambit', we measured 12 traits relating to competitive dominance and resource economics across 95 macroalgal species collected from the UK and widespread on North-East Atlantic rocky shores. We assessed the amount of trait variation explained by commonly-used traditional groups – (i) two schemes based on gross morphology and anatomy and (ii) two categorisations of vertical space use – and examined species reclassification into <i>post hoc</i>, so-called emergent groups arising from the functional trait dataset. We then offer an alternative, emergent grouping scheme of macroalgal functional diversity.</p> <p>3. (i) Morphology and anatomy-based groups explained slightly more than a third of multivariate trait expression with considerable group overlap (i.e. low precision) and extensive mismatch with underlying trait expression (i.e. low accuracy). (ii) Categorisations of vertical space use accounted for about a quarter of multivariate trait expression with considerable group overlap. Nonetheless, turf species tended to display attributes of opportunistic forms. (iii) A nine-group emergent scheme provided a highly explanatory and parsimonious alternative to traditional functional groupings.</p> <p>4. Synthesis: Our analysis using a comprehensive dataset of directly measured functional traits revealed a general mismatch between traditional groups and underlying traits, highlighting the deficiencies of the group gambit in macroalgae. While existing grouping schemes may allow first order approximations, they risk considerable loss of information at the trait and, potentially, ecosystem levels. Instead, we call for further development of a trait-based approach to macroalgal functional ecology to capture unfolding community and ecosystem changes with greater accuracy and generality.</p>
Functional groups of wild bees respond differently to faba bean (Vicia faba L.) cultivation at landscape scale
<p><span><b>1.</b> Concerns about insect declines are growing and the provisioning of ecosystem services like pollination may be threatened. To safeguard biodiversity, greening measures were introduced within the reform of the EU's Common Agricultural Policy. One measure commonly applied by farmers is the cultivation of nitrogen fixing crops. Although underlying studies are largely missing, this measure is criticized as providing no significant biodiversity benefit.<b> </b></span></p> <p><span><b>2.</b> Using a landscape-scale approach, we selected 30 paired study landscapes (1km x 1km) in Germany, i.e. 15 study landscapes with faba bean (FB) fields (<i>Vicia faba</i> L.) and 15 without any grain legumes. Flower-visiting wild bees were recorded with transect walks at the field margins of different crops using a stratified sampling approach. We analyzed the effect of FB cultivation and landscape composition on the abundance and species richness of wild bees as well as on the functional composition of the bee communities. </span></p> <p><span><b>3.</b> Bumblebee densities (<i>Bombus</i> spp. Latreille) were more than twice as high in FB compared to control landscapes after the flowering of the beans. Non-<i>Bombus</i> wild bee densities, however, were not affected by FB cultivation, but were enhanced by increasing amounts of semi-natural habitats (SNH). </span></p> <p><span><b>4.</b> After the beans` blooming had ceased, FB landscapes had a higher proportion of wild bees collecting pollen from Fabaceae than control landscapes. The community weighted means for bee size, measured as intertegular distance, were not affected by FB cultivation, but we found smaller species and species with shorter tongues with an increasing percentage of SNH. </span></p> <p><span><b>5.</b> <i>Synthesis and applications</i>. The cultivation of faba bean (<i>V. faba </i>L.<i>)</i> strongly increased bumblebee densities throughout the season. This indicates that also on-field greening measures can support biodiversity. Nevertheless, since only functional groups adapted to faba bean benefit, measures to promote semi-natural habitats in agricultural landscapes need to be implemented. We conclude that the combination of on- and off-field measures is essential to maintain farmland biodiversity and the Common Agricultural Policy should furthermore promote both.</span></p>
Fig. 3 in Fish functional groups in a tropical wetland of the Yucatan Peninsula, Mexico
Fig. 3. Relative biomass abundance of functional groups among habitats and seasons.
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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.