Coastal communities face heightened risk to coastal flooding and erosion hazards due to sea-level rise, changing storminess patterns, and evolving human development pressures. Incorporating uncertainty associated with both climate change and the range of possible adaptation measures is essential for projecting the evolving exposure to coastal flooding and erosion, as...
We developed a new climate-sensitive vegetation state-and-transition simulation
model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate
with the scales of human land-use decisions, and under the joint influences of changing
climate, site productivity, and disturbance. CV-STSM integrates outputs from four different
modeling systems. Successional changes in...
We developed a new climate-sensitive vegetation state-and-transition simulation
model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate
with the scales of human land-use decisions, and under the joint influences of changing
climate, site productivity, and disturbance. CV-STSM integrates outputs from four different
modeling systems. Successional changes in...
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management
GABRIEL I. YOSPIN,1,10 SCOTT D. BRIDGHAM,2 RONALD P. NEILSON,3 JOHN P. BOLTE,4 DOMINIQUE M
This report assesses climate change impacts and associated community and ecosystem vulnerability. It was compiled by a group of Oregon State University researchers and students, outreach specialists, and coastal community members in Tillamook County, Oregon (OR). Through sustained engagement with the Tillamook County Coastal Futures Knowledge to Action Network (TCCF...
Coastal communities are increasingly experiencing climate change–induced coastal disasters and chronic flooding and erosion. Decision makers and the public alike are struggling to reconcile the lack of ‘‘fit’’ between a rapidly changing environment and relatively rigid governance structures. In efforts to bridge this environment-governance gap in Tillamook County, Oregon, stakeholders...
Coupled models of coastal hazards, ecosystems, socioeconomics, and landscape management in conjunction with alternative scenario analysis provide tools that can allow decision-makers to explore effects of policy decisions under uncertain futures. Here, we describe the development and assessment of a set of model-based alternative future scenarios examining climate and population...
Fire-prone landscapes are not well studied as coupled human and natural systems (CHANS) and present many challenges
for understanding and promoting adaptive behaviors and institutions. Here, we explore how heterogeneity, feedbacks, and external
drivers in this type of natural hazard system can lead to complexity and can limit the development...
We developed a new climate-sensitive vegetation state-and-transition simulation model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate with the scales of human land-use decisions, and under the joint influences of changing climate, site productivity, and disturbance. CV-STSM integrates outputs from four different modeling systems. Successional changes in...
