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58 results for “Succession models”
The Effects of the Breastfeeding Problems Management Model on Breastfeeding Problems, Motivation and Success
ClinicalTrials.gov study NCT05543902. IPD Sharing: NO. Countries: 1. Publications: 4.
Dynamic Follow-up of Factors Influencing Implant Success and Models for Predicting Implant Outcomes
ClinicalTrials.gov study NCT06029751. IPD Sharing: NO. Countries: 1. Publications: 3.
Endoscopic Third Ventriculostomy for Adults: A Prognostic Model for Success
ClinicalTrials.gov study NCT04773938. IPD Sharing: YES. Countries: 4. Publications: 29.
A Model for Predicting Extubation Success in Premature Babies
ClinicalTrials.gov study NCT05081973. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: Successful by chance? the power of mixed models and neutral simulations for the detection of individual fixed heterogeneity in fitness components
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Data from: Identifying drivers of breeding success in a long-distance migrant using structural equation modelling
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Data from: Primary ecological succession in vascular epiphytes: the species accumulation model
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Data from: Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland’s warbler after successful recovery
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The genesis and development of vegetated fluvial landforms follow the biogeomorphological succession model in a channelised river
<p>Statistical database for the publication "The genesis and development of vegetated fluvial landforms follow the biogeomorphological succession model in a channelised river" in ESP&L.</p>
Data from: Modelled three-dimensional suction accuracy predicts prey capture success in three species of centrarchid fishes
Prey capture is critical for survival, and differences in correctly positioning and timing a strike (accuracy) are likely related to variation in capture success. However, an ability to quantify accuracy under natural conditions, particularly for fishes, is lacking. We developed a predictive model of suction hydrodynamics and applied it to natural behaviours using three-dimensional kinematics of three centrarchid fishes capturing evasive and non-evasive prey. A spheroid ingested volume of water (IVW) with dimensions predicted by peak gape and ram speed was verified with known hydrodynamics for two species. Differences in capture success occurred primarily with evasive prey (64–96% success). Micropterus salmoides had the greatest ram and gape when capturing evasive prey, resulting in the largest and most elongate IVW. Accuracy predicted capture success, although other factors may also be important. The lower accuracy previously observed in M. salmoides was not replicated, but this is likely due to more natural conditions in our study. Additionally, we discuss the role of modulation and integrated behaviours in shaping the IVW and determining accuracy. With our model, accuracy is a more accessible performance measure for suction-feeding fishes, which can be used to explore macroevolutionary patterns of prey capture evolution.
Data from: Species' ecological functionality alters the outcome of fish stocking success predicted by a food-web model
Fish stocking is used worldwide in conservation and management but its effects on food-web dynamics and ecosystem stability are poorly known. To better understand these effects and predict the outcomes of stocking, we used an empirically validated network model of a well-studied lake ecosystem. We simulate two stocking scenarios with two native fish species valuable for fishing. In the first scenario, we stock planktivorous fish (whitefish) larvae in the ecosystem. This leads to 1% increase in adult whitefish biomasses and decreases the biomasses of the top predator (perch). In the second scenario, we also stock perch larvae in the ecosystem. This decreases the planktivorous whitefish and the oldest top predator age class biomasses, and destabilizes the ecosystem. Our results demonstrate that the effects of stocking depend on the species' position in the food web and thus cannot be assessed without considering interacting species. We further show that stocking can lead to undesired outcomes from both management and conservation perspectives. The gains of stocking can remain minor and have adverse effects on the entire ecosystem.
Data from: A stochastic model for annual reproductive success
Demographic stochasticity can have large effects on the dynamics of small populations as well as on the persistence of rare genotypes and lineages. Survival is sensibly modeled as a binomial process, but annual reproductive success (ARS) is more complex and general models for demographic stochasticity do not exist. Here we introduce a stochastic model framework for ARS and illustrate some of its properties. We model a sequence of stochastic events: nest completion, the number of eggs or neonates produced, nest predation, and the survival of individual offspring to independence. We also allow multiple nesting attempts within a breeding season. Most of these components can be described by Bernoulli or binomial processes; the exception is the distribution of offspring number. Using clutch and litter size distributions from 53 vertebrate species, we demonstrate that among‐individual variability in offspring number can usually be described by the generalized Poisson distribution. Our model framework allows the demographic variance to be calculated from underlying biological processes and can easily be linked to models of environmental stochasticity or selection because of its parametric structure. In addition, it reveals that the distributions of ARS are often multimodal and skewed, with implications for extinction risk and evolution in small populations.
Fig. 6 in Outcome of within-host competition demonstrates that parasite virulence doesn't equal success in a myxozoan model system
Fig. 6. Log fold change in immunogloblulin expression relative to controls on day 14 in intestine samples. Parasite copy numbers measured in intestine samples are overlaid on IgM intestine plot (parasite copy number data are the same for the IgT plot). Letters denote treatments that differed (Tukey's HSD tests, α = 0.05).
Fig. 5 in Outcome of within-host competition demonstrates that parasite virulence doesn't equal success in a myxozoan model system
Fig. 5. Log-foldchange in cytokine expression relative to controls at day-14 in spleen and intestine samples. Parasite copy numbers measured in gill tissues is overlaid on IFN-gamma spleen plot and parasite copy numbers measured in intestine samples are overlaid on IFN-gamma intestine plot, but parasite copy number data are the same for, and apply to, all cytokine plots underneath. Letters denote treatments that differed (Tukey's HDS tests, α = 0.05).
Factors that determine entrepreneurial success: proposal of a conceptual model based on a systematic literature review
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Data from: Is saltmarsh restoration success constrained by matching natural environments or altered succession? a test using niche models
1.Restored habitats, such as saltmarsh created through managed realignment, sometimes fail to meet targets for biological equivalence with natural reference sites. Understanding why this happens is important in order to improve restoration outcomes. 2.Elevation in the tidal frame and sediment redox potential are major controls on the distribution of saltmarsh plants. We use niche models to characterize ten species' responses to these, and test whether differences in species occurrence between restored and natural saltmarshes in the UK result from failure to recreate adequate environmental conditions. 3.Six species occurred less frequently in recently restored marshes than natural marshes. Failure of restored marshes to achieve the elevation and redox conditions of natural marshes partially explained the underrepresentation of five of these species, but did not explain patterns of occurrence on older (> 50 years) restored marshes. 4.For all species, an effect of marsh age remained after controlling for differences in environmental conditions. This could be due to differences in successional mechanism between restored and natural marshes. In recently restored marshes, high-marsh species occurred lower in the tidal frame and low-marsh species occurred at higher elevations than in natural marshes. This supports the hypothesis that competition is initially weaker in restored marshes, because of the availability of bare sediment across the whole tidal frame. Species that establish outside their normal realized niche, such as Atriplex portulacoides, may inhibit subsequent colonization of other species that occurred less frequently than expected on older restored marshes. 5.Synthesis and applications. Niche models can be used to test whether abiotic differences between restored sites and their natural counterparts are responsible for discrepancies in species occurrence. In saltmarshes, simply replicating environmental conditions will not result in equivalent species occurrence.
Figure 3 from: Schwerk A, Szyszko J (2011) Model of succession in degraded areas based on carabid beetles (Coleoptera, Carabidae). ZooKeys 100: 319-332. https://doi.org/10.3897/zookeys.100.1534
Figure 3 - Model graphs based on the parameters in Table 1 for the relationship between MIB values (mg) and age of stands for the first 60 years in A planted stands on forest soil, B naturally regenerated stands on post-agricultural soil, C planted stands on post-agricultural soil, D stands on ash heap, and E stands on mining heap (Open circles indicate that MIB was calculated from less than 25 individuals; broken lines indicate that the respective part of the graph cannot be verified due to a lack of data).
Figure 2 from: Schwerk A, Szyszko J (2011) Model of succession in degraded areas based on carabid beetles (Coleoptera, Carabidae). ZooKeys 100: 319-332. https://doi.org/10.3897/zookeys.100.1534
Figure 2 - Schematic illustration of the model. Succession starts from an 'initial degradation level', followed by a facultative 'delay phase' (characterized by the time of 'delay'). The optional 'delay phase' is followed by an 'increase phase' (characterized by the 'increase rate'), and a 'stagnation phase' in which the succession process runs towards a 'recovery level'. The type of area, origin of vegetation, and landscape-related aspects are assumed to influence the trajectory of succession.
Figure 1 from: Schwerk A, Szyszko J (2011) Model of succession in degraded areas based on carabid beetles (Coleoptera, Carabidae). ZooKeys 100: 319-332. https://doi.org/10.3897/zookeys.100.1534
Figure 1 - Relationship between MIB values (mg) and age of stands in A planted stands on forest soil (r = 0.343, p <0.05), B naturally regenerated stands on post-agricultural soil (r = 0.677, p <0.001), C planted stands on post-agricultural soil (r = 0.238, p <0.001), D stands on ash heap (r = 0.025, n.s.) and E stands on mining heap (r = 0.839, p <0.001) (Open circles indicate that MIB was calculated from less than 25 individuals).
Success, Academic Self-efficacy; ARCS Model
ClinicalTrials.gov study NCT06887790. IPD Sharing: NO. Countries: 1. Publications: 0.
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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)
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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.