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139 results for “parameter estimation”
Data from: Implications of survey effort on estimating demographic parameters of a long-lived marine top predator
Effective management of wildlife populations rely on knowledge of their abundance, survival and reproductive rates. Maintaining long-term studies capable of estimating demographic parameters for long-lived, slow reproducing species is challenging. Insights into effects of research intensity on the statistical power to estimate demographic parameters is limited. Here, we investigate implications of survey effort on estimating abundance, home range sizes and reproductive output of Indo-Pacific bottlenose dolphins (Tursiops aduncus), using a three-year sub-sample of a long-term, capture-recapture study off Bunbury, Western Australia. Photo-identification on individual dolphins were collected following Pollock's Robust Design, where seasons were defined as 'primary periods', each consisting of multiple 'secondary periods'. The full dataset consisted of 12 primary periods and 72 secondary periods, resulting in the study area being surveyed 24 times/year. We simulated reduced survey effort by randomly removing one, two or three secondary periods per primary period. Capture-recapture models were used to assess the effect of survey intensity on the power to detect trends in population abundance, while individual dolphin sighting histories were used to assess the ability to conduct home range analyses. We used sighting records of adult females and their calving histories to assess survey effort on quantifying reproductive output. A 50% reduction in survey effort resulted in: i) up to a 36% decline in population abundance at the time of detection; ii) a reduced ability to estimate home range sizes, by increasing the time for individuals to be sighted on >30 occasions (an often-used metric for home range analyses) from 7.74 to 15.46 years; and iii) 33%, 24% and 33% of annual calving events going undocumented in their year of birth. Results clearly illustrate the importance of survey effort on the ability to assess demographic parameters with clear implications for population viability analyses, population forecasting and conservation efforts to manage human-wildlife interactions.
Threshold models improve estimates of molt parameters in datasets with small sample sizes
<p>The timing of events in birds' annual cycles is important to understanding life history evolution and response to global climate change. Molt timing is often measured as an index of the sum of grown feather proportion or mass within the primary flight feathers. The distribution of these molt data over time has proven difficult to model with standard linear models. The parameters of interest are at change points in model fit over time, and so least squares regression models that assume molt is linear violate the assumption of even variance. This has led to the introduction of other nonparametric models to estimate molt parameters. Hinge models directly estimate changes in model fit, and have been used in many systems to find change points in data distributions. Here, we apply a hinge model to molt timing, through the introduction of a double-hinge threshold model. We then examine its performance in comparison to current models using simulated and empirical data. We find that the Underhill-Zuchinni (UZ) and Pimm models perform well under many circumstances, and appears to outperform the threshold model in datasets with very high variance. The double-hinge threshold model outperforms the UZ model at low sample sizes of birds in active molt, and shorter molt durations, and provides more realistic confidence intervals at small sample sizes. </p>
movement in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
movement
mass properties in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
mass properties
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.
Figure 1 from: Costa M, Tubino R, Neto C (2018) Length-based estimates of growth parameters and mortality rates of fish populations from a coastal zone in the Southeastern Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e22235
Figure 1 Geographical location of Itaipu coastal zone of Rio de Janeiro, Brazil, showing fishing areas (stars).
High resolution sea state parameters estimated from SAR imagery at Herschel Island, Qikiqtaruk, Yukon, Canada
<p>Sea state parameters such as significant wave height were estimated using the empirical CWAVE_EX algorithm.<br> The aim of the data acquisition was to overcome the lack of in-situ data on significant wave heights in the Arctic by using remote sensing data.<br> Synthetic Aperture Radar (SAR) images from the TerraSAR-X (TS-X) and TanDEM-X (TD-X) satellites were used to obtain high spatial resolution sea state information around Herschel Island, Qikiqtaruk, Yukon, Canada. All ice-free scenes were processed from the entire archive of TS-X/TD-X StripMap mode imagery with a coverage of approximately 30 km x 50 km acquired between 2009 and 2020. For each SAR scene, a sea state file was created as a tab-separated text file in the coordinate reference system EPSG: 4328 - WGS84.<br> The dataset was used to analyse wave heights in the nearshore zone according to spatial variability, seasonality and wind conditions.</p> <p>For more details please refer to Brembach, K., Pleskachevsky, A., Lantuit, H. (in prep): Investigating High-Resolution Spatial Wave Patterns on the Canadian Beaufort Shelf using SAR Imagery at Herschel Island, Qikiqtaruk, Yukon, Canada.</p>
Figure 5 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 5. – Mean values of STM and STA in Engraulis encrasicolus from October 2007 to May 2008. A: Seminiferous tubules number (counted under 10x magnification). B: Seminiferous tubules area (mm2) (measured on the basis of 25 tubules). Data are represented as Mean ± SEM (values indicate the monthly average number of repetitions).
Figure 2 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 2. – Mean values of Gonadosomatic Index percentage (GSI) in Engraulis encrasicolus male at different gonadal maturity stages (I to V). Data are represented as Mean ± SEM. Different letters indicate significant differences (ANOVA with Tukey's post-hoc test, p <0.05).
Figure 3 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 3. – Mean values of STM and STA in Engraulis encrasicolus according to the gonad maturity stages (I to V). A: Seminiferous tubules number (counted under 10x magnification). B: Seminiferous tubules area (mm2) (measured on the basis of 25 tubules). Data are represented as Mean ± SEM. Different letters indicate significant differences (ANOVA with Tukey's post-hoc test, p <0.05).
Data from: Implications of survey effort on estimating demographic parameters of a long-lived marine top predator
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Data from: Estimation of mating system parameters in an evolving gynodioecous population of cultivated sunflower (Helianthus annuus L.)
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Data from: Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
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Data from: Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits
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Estimating correlations among demographic parameters in population models
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Data from: Likelihood-based parameter estimation for high-dimensional phylogenetic comparative models: overcoming the limitations of 'distance-based' methods
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Threshold models improve estimates of molt parameters in datasets with small sample sizes
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Data from: Shared spatial effects on quantitative genetic parameters: accounting for spatial autocorrelation and home range overlap reduces estimates of heritability in wild red deer
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Data from: Separate block based parameter estimation method for Hammerstein systems
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Data from: Fitting functional responses: direct parameter estimation by simulating differential equations
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International Brain Laboratory public data
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OpenNeuro
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