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491 results for “population modelling”

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dryad28/100

Data from: An integrated assessment model of seabird population dynamics: can individual heterogeneity in susceptibility to fishing explain abundance trends in Crozet wandering albatross?

1. Seabirds have been incidentally caught in distant-water longline fleets operating in the Southern Ocean since at least the 1970s, and breeding numbers for some populations have shown marked trends of decline and recovery concomitant with longline fishing effort within their distributions. However, lacking is an understanding of how forms of among-individual heterogeneity may interact with fisheries bycatch and influence population dynamics. 2. We develop a model that uses comprehensive data on the spatial and temporal distributions of fishing effort and seabird foraging to estimate temporal overlaps, fishery catchability and consequent bycatch. We apply a population model that is structured by age, sex, life stage and spatially to Crozet Island wandering albatross and explore how heterogeneity in susceptibility to capture may have influenced the population's demography over time. 3. A model where some birds were assumed to be more susceptible to fisheries bycatch was able to successfully replicate the observed trend in breeding pairs. Considerably poorer fits were found without this assumption. Results suggested that the more susceptible birds may have been removed from the population by the 1990s. 4. The model was also able to highlight areas, times and fleets prone to increased bycatch. Knowledge of these factors should assist fisheries and conservation management bodies to quantify and reduce seabird bycatch through spatial management and fleet-specific mitigation efforts. 5. Synthesis and application. Many seabirds show complex life histories that make them highly susceptible to additional incidental mortality from fishing vessels. By applying a population model that integrates key aspects of seabird and fishery dynamics, we were able to explain the observed trends in the breeding population of Crozet wandering albatross and identify key areas and fleets where further mitigation may be required. In addition, the potential removal of a category of birds that shows increased susceptibility to capture has important implications for the conservation management of this population and other iconic species incidentally caught by large-scale commercial fisheries.

opencc-zeroDec 2014View details →

dryad28/100

An integrated population model to project viability of a northern bobwhite population in Ohio [DATA]

Increased variation in interannual weather due to climate change can exert a powerful influence on the population dynamics of a species. Understanding the influence of severe weather is important for managing weather-sensitive species. While best management practices target vital rates that are affected by weather, focusing on a single vital rate may not be sufficient if other vital rates are secondarily limiting. A comprehensive modeling framework to forecast future population dynamics while incorporating weather scenarios and vital rate variation within observed ranges that can be affected by management actions are necessary. A potential approach is to combine an integrated population model (IPM) with a population viability analysis (PVA) to generate novel insights about population dynamics. We used the northern bobwhite (Colinus virginianus), a rapidly declining gamebird sensitive to snowfall along the northern extents of the species' range, to demonstrate the utility of a coupled IPM-PVA framework for projecting the response of a population to weather, management, and changes in vital rates. We created an IPM using two sources of count data spanning seven years, five years of winter survival data, and two years of breeding season demographics for a declining bobwhite population in southwestern Ohio during 2007–2015. Quasi-extinction probability at the end of the decadal projection during 2019–2029 was 0.384–0.410 for mild, average, and severe winter weather scenarios. Quasi-extinction probability declined to 0.326 with 20% improvement in nest success and summer survival rates. A concurrent 20% increase in winter survival further reduced quasi-extinction probability to 0.263, which is a ~36% reduction in quasi-extinction probability compared to the baseline scenario with no changes in vital rates. These results suggest that long-term viability of this population may depend on extensive management of winter habitat to improve survival but will also require management actions to improve fecundity after severe winters. Our modeling approach demonstrated how IPMs can be used to project population responses to future weather conditions and overcome some of the pitfalls of traditional PVA. The coupled framework presented here can serve as a tool for managers to make climate informed management decisions.

opencc-zeroAug 2021View details →

zenodo28/100

Fig. 4 in Using a spatial mark-resight model to estimate the parameters of a wild pig (Sus scrofa) population in Singapore

Fig. 4. Frequency of Sus scrofa group sizes observed in 167 unique camera trap observations from May 2016 to August 2016.

opencc-by-4.0Sep 2018View details →

zenodo28/100

Data release: Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors

This contains the data release associated to "Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors". We provide the figures, machine-readable json summary files associated to Tables I-IV, scripts and data products used to produce the hyperparameter inference results in this publicatioln. A "lightweight" version is provided which excludes the pickled data products. To reproduce the results, download the full tar file, unzip, enter the scripts directory, and use the Makefile commands. These results where created using bilby v1.1.3 at commit hash <a href="https://git.ligo.org/lscsoft/bilby/-/commit/63c7aacaf30d721e77599bd11f3a9fa2447915cb">63c7aaca</a>.

opencc-by-4.0Sep 2021View details →

dryad28/100

Linking population dynamics models with empirically derived models through phytoplankton primary production

There are alternative methods for estimation of phytoplankton primary production (PP) that are fundamentally different in the calculation approach. The process-oriented PP model is a mechanistic, empirically derived method based on the photosynthesis–light relationships. The population dynamics-based PP calculation, which is a synthetic method, provides a production estimate based on population dynamics of phytoplankton. These alternative methods were here compared with regard to production estimates and linked to enhance the performance of the existing models of population dynamics applied to a wide variety of lakes worldwide in terms of morphometry, nutrient status, and light environments. Estimates of primary production were shown to be sensitive to changes in phytoplankton sinking and zooplankton grazing rates in both methods. Production estimates in the process-oriented PP model were also sensitive to light-associated parameters such as day length. Although the production estimated from the population dynamics-based PP calculation tended to be lower than that from the process-oriented PP model irrespective of lake morphometry, production estimates calculated from both methods with standard parameterization were comparable when production was estimated on an annual timescale. However, it was also shown that the alternative methods could produce different production estimates when estimated on shorter timescales such as cyanobacterial blooms in summer. Cyanobacteria with low mortality due to grazing and sinking losses have been considered as trophic bottlenecks, but there is increasing evidence that their mortality is, to a considerable extent, due to parasitic pathogens. In the case of cyanobacterial blooms, an addition of parasite-related loss term (19–33% of standing stock) resulted in a resolution of the difference in production estimates between the methods. These analyses theoretically support the critical role of parasitism and resolve the bottleneck problem in aquatic ecosystem metabolism.

opencc-zeroNov 2022View details →

dryad28/100

Population average skull model obtained by means of statistical shape modelling

Sagittal Craniosynostosis (SC) is a congenital condition whereby the newborn skull develops abnormally due to premature ossification of the sagittal suture. Spring-assisted cranioplasty (SAC) is a minimally invasive surgical technique to treat SC where metallic distractors are used to reshape the newborn's head. Although safe and effective, SAC outcomes remain uncertain due to the limited understanding of skull-distractor interaction and limited information provided by the analysis of single surgical cases. Hereby, an SC population average skull model was created to simulate spring insertion by means of finite element analysis.

opencc-zeroJan 2023View details →

zenodo28/100

Use and Abuse of Astrophysical Models in Gravitational-wave Population Analyses

Accompanying dataset for Cheng et al. 2023

opencc-by-4.0Jul 2023View details →

ClinicalTrials.gov28/100

Simplified Model of Linkage and Retention to Care, Using a Mobile Unit and a Same-day Test and Treat Approach Among Excluded Population. (SIMPLIFIED)

ClinicalTrials.gov study NCT05405751. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

ClinicalTrials.gov28/100

Scaling Telehealth Models to Improve Co-morbid Diabetes and Hypertension in Immigrant Populations (Phase II)

ClinicalTrials.gov study NCT06542939. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

dryad28/100