Browsing Quantitative ecology and resource management by Title
Now showing items 1-20 of 46
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Accounting for model uncertainties in statistical forecasts of wildfire parameters
Gauging the magnitude of model uncertainty and incorporating model uncertainty into predictions is of critical importance when models are used to inform wildfire-related decisions, where ignoring potential risks threaten ... -
Adaptive Bayesian Nonparametric Smoothing with Markov Random Fields and Shrinkage Priors
The need to estimate unknown functions or surfaces arises in many disciplines in science and there are many statistical methods available to do this. Our interest lies in using Bayesian nonparametric approaches to estimate ... -
Advancing Bayesian methods in fisheries stock assessment
Inference is the process of drawing conclusions from data about unobserved quantities. Bayesian inference is one type of statistical inference and is widely applied in diverse fields. In fisheries, it has many advantages, ... -
Best Practices for Constructing Size-Structured Population Dynamics Models used for Stock Assessments
All models are predicated on assumptions which makes them simplified versions of reality. An important goal of stock assessment scientists is to expand the capability of stock assessment models to improve their ability to ... -
Bio-Behavioral Models for HIV Prevention
(2013-04-17)<italic>Background</italic>: In this dissertation, I model HIV transmission in two different populations: circular migrants in South Africa, and men who have sex with men (MSM) in Southern California. <italic>Objectives</italic>: ... -
Bridging the gap between fisheries genetics and management
The work in this dissertation addresses a gap between fisheries management and population genetics. The first chapter uses landscape genetics to determine whether natural boundaries exist in the Pacific cod stock in the ... -
Characterizing and forecasting fish recruitment in a changing world
Recruitment, the entry of young fish into a stock, is an important process in population dynamics models, which form the basis for many stock assessments. As such, recruitment has been a focus of research among fishery ... -
Controls on the productivity of exploited ecosystems: linking ecology and resource management
Ecologists have long been striving to learn what drives the productivity of populations, communities, and ecosystems. Such an understanding can contribute to both basic science and the practical management of renewable ... -
Designing and transferring environmental flows
Societal and environmental water needs are increasingly in conflict due to rising water demands from growing global human populations and climate-change-induced intensification of hydrologic drought. The last couple of ... -
The dynamics and effects of bacterial kidney disease in Snake River spring Chinook salmon (Oncorhynchus tshawytscha)
(2001)Bacterial kidney disease (BKD) is endemic in Snake River spring chinook salmon (Oncorhynchus tshawytscha) stocks of both wild and hatchery origin, and may be partially responsible for their poor returns in recent years. ... -
Estimating demographic rates to improve monitoring of highly mobile species
Estimating demographic rates of wildlife species, such as survival and fecundity, is crucial for monitoring wildlife populations and informing management of these species. Monitoring highly mobile species is especially ... -
Extending Harvest-Scheduling Using Spatial Optimization: Road Access and Edge Effects.
The scheduling of management actions across forest stands is a fundamental task in the world of forestry. However, the spatial and temporal layout of management actions can lead to a combinatorial explosion of potential ... -
Fish in Space: Estimating groundfish population distribution in the Gulf of Alaska for management apportionment by subregion
Management of fisheries relies on information about biomass of stocks in order to determine how many fish can be sustainably harvested in a given year. In addition to predicting total biomass, it is frequently important ... -
Fixed and Random Effects Models and Multistage Estimation Procedures for Statistical Population Reconstructions
(2012-08-10)Age-at-harvest data are routinely collected as part of game-management programs. These data represent a wealth of information regarding demographic processes and trends in wildlife abundance. Use of wildlife age-at-harvest ... -
From Mark-Resight to Management: Bayesian Hierarchical Models for Endangered Bird Populations
Producing reliable estimates of demographic rates is critical to our understanding of wildlife population dynamics and can provide valuable information for prioritizing conservation and management efforts. Precise and ... -
A graphical user interface (GUI) input-based algorithm to automate generation of multi-state models for release-recapture studies
(2014-04-30)Release-recapture studies represent an important branch of population analysis and are the primary method used to investigate population survival and migration. As researchers seek to answer more detailed questions about ... -
Group size affects predation risk and foraging success in Pacific salmon at sea
Grouping (schooling, flocking, herding) is broadly distributed across taxa and environments, and is particularly common in marine fishes. A rich body of theory outlines ways in which grouping can enhance individual fitness, ... -
Hydrology, temperature, and water source dynamics across river basins of western North America
Climate change is altering temperature and precipitation regimes across the globe, resulting in often extreme modifications to river dynamics. Such impacts are particularly pronounced in western North America, a region ... -
Incorporating cognition into models of animal movement and predator--prey interaction
Incorporating cognition, i.e., learning and memory, into models of animal movement is increasingly important as models seek to answer more complex questions where individuals' prior experiences shape their choices. Two ... -
Measuring Conflict Among Objective Functions in Multi-Objective Optimization
We present a process to measure the conflict among objective functions within and across multi-objective systems. To do so, we introduce a new metric to quantify pairwise objective conflict. We also demonstrate new ...