Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Abundance estimation"”.
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Line transect abundance estimation with uncertain detection on the trackline
… reviewing developments in line transect estimation theory to date, general likelihood functions are derived for the case in which detection probabilities are modelled as functions of any number of explanatory variables and detection of animals on the trackline (i.e. directly in the …
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POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
… photographs. This research thesis explores PMN abundance estimation using a data-driven method based on Artificial Neural Network (ANN). Data used are geotagged Sidescan Sonar (SSS) seabed backscatter images and seabed photographs collected using an Autonomous Underwater Vehicle (AUV) within the …
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Resource selection and abundance estimation of moose: Implications for caribou recovery in a human altered landscape
… seral stands is hypothesized to increase the abundance of moose (Alces alces), the dominant prey for wolves (Canis lupus), resulting in apparent competition. We first examined habitat selection of moose in 2 regions with differing intensities of human disturbance in west-central Alberta and …
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Resource selection and abundance estimation of moose: Implications for caribou recovery in a human altered landscape
… seral stands is hypothesized to increase the abundance of moose (Alces alces), the dominant prey for wolves (Canis lupus), resulting in apparent competition. We first examined habitat selection of moose in 2 regions with differing intensities of human disturbance in west-central Alberta and …
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Application of statistical learning theory to plankton image analysis
… plankton recognition system to estimate plankton abundance. The system includes four major components: pattern representation/feature measurement, feature extraction/selection, classification, and abundance estimation. After an extensive study on a traditional learning vector quantization (LVQ) …
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Latent Dirichlet Variational Autoencoder: a novel approach for hyperspectral image analysis and pixel unmixing exploring deep learning architectures
… This design enables LDVAE to effectively model abundance vectors, satisfying the inherent sum-to-one and non-negativity constraints, while simultaneously learning a low-dimensional representation of endmember spectra. The generative nature of LDVAE further allows for the synthesis of new …
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Application of statistical learning theory to plankton image analysis
… plankton recognition system to estimate plankton abundance. The system includes four major components: pattern representation/feature measurement, feature extraction/selection, classification, and abundance estimation. After an extensive study on a traditional learning vector quantization (LVQ) …
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Passive Acoustics: A Multifaceted Tool for Marine Mammal Conservation
… of six recently developed passive acoustic abundance estimation methods, by comparing their results to the true abundance of animals, obtained via a census conducted within the same area and time period. The methods employed were broadly divided into two categories – those involving direct …
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Quantification of Variability, Abundance, and Mortality of Maumee River Larval Walleye (Sander vitreus) Using Bayesian Hierarchical Models
The estimation of abundance is complicated by factors contributing to spatial and temporal variability. Many organisms are highly variable across both of these scales, thereby violating assumptions of conventional abundance estimation methods. Larval walleye in the Maumee River are extremely …
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An updated model of the krill-predator dynamics of the Antarctic ecosystem
… of the human harvesting in the region. The abundances and per capita krill consumption of the krill-predators are calculated and used to determine the main krill-predators to be used in the updated model developed. These predators are found to be the blue, fin, humpback and minke whales and …
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Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application
… classification and spectral unmixing and abundance estimation using AHI hyperspectral imagery, rock classification study using laboratory and DWELL FPA imagery, and HS and MS edge detection using the AHI and the DWELL FPA imagery.'
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Use and Survival of Greater Sage-Grouse in Meadows Managed for Non-Native Ungulate Grazing in Nevada
… obtain data for estimating local population abundance and survival.In chapter 1, I used single-variate Cox proportional hazards models to investigate the effects of vegetative cover within the meadows on brood and hen survival. However, low encounters of broods and low hen mortality occurring …
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Breeding success, prey use, and mark-resight estimation of burrowing owls nesting on black-tailed prairie dog towns: plague affects a non-susceptible raptor
… and used mark-resight methods for owl population estimation. Prairie dogs experience high mortality from plague, and their colonies are periodically extirpated by outbreaks. Plague does not make owls sick, but they may be affected as unmaintained burrows collapse, vegetation grows taller, and the …
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DNA-based Population Estimation, Harvest Vulnerability, and Home Range Dynamics of Black Bears in Western Maryland
… to collect enough samples for reliable abundance estimation. As a first step toward quantifying harvest vulnerability, we used Global Positioning System (GPS) units to record movements and spatial behaviors of 108 bear hunters during the 2005--2007 Maryland bear hunting seasons. Median …
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Monarch Butterfly (Danaus plexippus) Tree Preference and Intersite Movement at California Overwintering Sites
… landscape-level) management strategies, and our abundance estimation techniques, which employ closed population models. We tested the closed population model, the accrual hypothesis, and the superpopulation model at three California overwintering sites using a mark-resight study design. We found …