Publications by authors named "Cody Evers"

Since their introduction two decades ago, Community Wildfire Protection Plans (CWPPs) have become a common planning tool for improving community preparedness and risk mitigation in fire-prone regions, and for strengthening coordination among federal and state land management agencies, local government, and residents. While CWPPs have been the focus of case studies, there are limited large-scale studies to understand the extent of, and factors responsible for, variation in stakeholder participation-a core element of the CWPP model. This article describes the scale and scope of participation in CWPPs across the western United States.

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Article Synopsis
  • The 2018 Camp Fire in California was the deadliest wildfire in U.S. history, destroying the town of Paradise and causing 82 deaths.
  • Scientists are using new computer models to better understand and predict wildfires, especially as climate change makes these disasters more likely.
  • This study found that past fire seasons can seem much smaller compared to extreme simulated fire seasons, showing a huge increase in both area burned and buildings at risk during severe events.
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We assessed transboundary wildfire exposure among federal, state, and private lands and 447 communities in the state of Arizona, southwestern United States. The study quantified the relative magnitude of transboundary (incoming, outgoing) versus nontransboundary (i.e.

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We provide the wildland urban interface (WUI) map of the autonomous community of Catalonia (Northeastern Spain). The map encompasses an area of some 3.21 million ha and is presented as a 150-m resolution raster dataset.

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We characterized wildfire transmission and exposure within a matrix of large land tenures (federal, state, and private) surrounding 56 communities within a 3.3 million ha fire prone region of central Oregon US. Wildfire simulation and network analysis were used to quantify the exchange of fire among land tenures and communities and analyze the relative contributions of human versus natural ignitions to wildfire exposure.

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Background: Studies of body mass index (BMI) change have focused on understanding growth trajectories from childhood to adolescence and adolescence to adulthood, but few have explored BMI trajectories solely in elementary (grades K-5) school children. This report complements these studies by exploring changes in obesity status using analytic methods developed to investigate categorical changes in life-course events.

Methods: Sequences of a 4-state BMI variable (underweight, normal, overweight, and obese) were calculated using height and weight data collected annually (2008-2013) from 414 kindergarten and first-grade students participating in the Community and Schools Together (CAST) project.

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Background: Childhood obesity is a systemic and complex, multilevel public health problem. Research approaches are needed that effectively engage communities in reversing environmental determinants of child obesity.

Objectives: This article discusses the Communities and Schools Together (CAST) Project and lessons learned about the project's community-based participatory research (CBPR) model.

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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 tree species composition and stand structure were represented as transition probabilities and organized into a state-and-transition simulation model.

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Walking rates to school remain low for U.S. children in large part due to parent concern for child safety.

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Researchers use measures of street connectivity to assess neighborhood walkability and many studies show a relationship between neighborhood design and walking activity. Yet, the core of those connectivity measures are based on constructs designed for analyzing automobile mobility - the street network - not pedestrian movement. This paper examines the effect of a finer grained characterization of street connectivity and illustrates the idea using parent ratings of street and intersection walkability for children throughout a suburban school district in Oregon.

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