Browsing Quantitative ecology and resource management by Title
Now showing items 1-20 of 36
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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, ... -
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 ... -
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. ... -
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 ... -
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 ... -
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, ... -
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 ... -
Modeling individual lodgepole pine mortality from mountain pine beetle outbreak in a spatially explicit framework
Outbreaks of native bark beetles (Curculionidae: Scolytinae) are key natural disturbances that shape the structure and function of conifer forests across the northern hemisphere. While drivers of bark beetle outbreaks have ... -
Modeling population dynamics and species interactions in a changing climate
Many species are expected to undergo significant distributional shifts in response to changes in climate. This adaptive response can impact population dynamics in many ways, including decreasing reproductive fitness, ... -
Modeling the population dynamics of herring in the Prince William Sound, Alaska
The Pacific herring (Clupea pallasii) population in Prince William Sound, Alaska crashed in 1992-93 and has yet to recover, affecting food web dynamics in the Sound and impacting Alaskan communities. To help researchers ... -
Monte Carlo methods for inference in population genetic models
(2001)This dissertation describes novel applications of Monte Carlo and Markov chain Monte Carlo (MCMC) techniques to statistical inference in problems from the field of conservation genetics. The inference problems are motivated ... -
Mortality Associated with Extreme Heat in Washington State: The historical and projected public health burden
Extreme heat is one of the most important pathways illustrating the connection between climate and human health, including in temperate areas such as the Pacific Northwest. Moreover, climate change is expected to exacerbate ... -
Multi-criteria assessment of ecological process models using pareto optimization
(1997)Assessment is the essential step in using an ecological process model as a heuristic for investigating hypotheses. Assessment investigates the model's capacity to adequately simulate the phenomenon, as represented by ...