Claire A. Montgomery

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Our work is motivated by an important network design application in computational sustainability concerning wildlife conservation. In the face of human development and climate change, it is important that conservation plans for protecting landscape connectivity exhibit certain level of robustness. While previous work has focused on conservation strategies(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)
—Researchers in AI and Operations Research employ the framework of Markov Decision Processes (MDPs) to formalize problems of sequential decision making under uncertainty. A common approach is to implement a simulator of the stochastic dynamics of the MDP and a Monte Carlo optimization algorithm that invokes this simulator to solve the MDP. The resulting(More)
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)
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