Claire A. Montgomery

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2 Maintaining landscape connectivity is critical to reduce inbreeding, increase genetic diversity and provide resilience Key causes of biodiversity loss: Habitat Loss and Fragmentation urbanization deforestation agriculture Motivation: Landscape Connectivity • Current approaches in conservation biology: measure connectivity and identify likely linkages •(More)
The conservation of wildlife corridors between existing habitat preserves is important for combating the effects of habitat loss and fragmentation facing species of concern. We introduce the Steiner Multigraph Problem to model the problem of minimum-cost wildlife corridor design for multiple species with different landscape requirements. This problem can(More)
16 17 This paper presents estimates of potential future wildfire suppression cost savings that result 18 from allowing a current wildfire to burn on a landscape in central Oregon. Under some 19 conditions, estimated savings were large, suggesting that the benefit of allowing a wildfire to 20 burn may, in select cases, outweigh the additional risk of loss.(More)
Markov Decision Process (MDP) simulators and optimization algorithms integrate several systems and functions that are collectively subject to failures of specification, implementation, integration, and optimization. We present a domain agnostic visual analytic design and implementation for testing and debugging MDPs: MDPVIS.
Biodiversity underpins ecosystem goods and services and hence protecting it is key to achieving sustainability. However , the persistence of many species is threatened by habitat loss and fragmentation due to human land use and climate change. Conservation efforts are implemented under very limited economic resources, and therefore designing scal-able,(More)
In this dissertation, I examine how the spatial configuration of forest ownership influences the risk-mitigating behavior of public and private forestland owners over time. I determine whether or not the predicted equilibrium outcomes are socially optimal and, if not, whether the introduction of regulation, liability, or private insurance would lead to(More)
An integrated model combining a wildlife population simulation model and timber harvest and growth models was developed to explore the tradeoffs between the likelihood of persistence of a hypothetical wildlife species and timber harvest volumes on a landscape in the Central Oregon Cascades. Simulated annealing, a heuristic optimization technique, was used(More)
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