Evaluating the Characteristics of Social Vulnerability to Wildfire: Demographics, Perceptions, and Parcel Characteristics.

A large body of research focuses on identifying patterns of human populations most at risk from hazards and the factors that help explain performance of mitigations that can help reduce that risk. One common concept in such studies is social vulnerability-human populations' potential exposure to, sensitivity from and ability to reduce negative impacts from a hazard. While there is growing interest in social vulnerability for wildfire, few studies have critically evaluated the characteristics that scholars often indicate influence social vulnerability to that hazard. This research utilizes surveys, wildfire simulations, and GIS data to test the relationships between select demographic, perceptual and parcel characteristics of property owners against empirically simulated metrics for wildfire exposure or wildfire-related damages and their performance of mitigation actions. Our results from Flathead County, MT, USA, suggest that parcel characteristics such as property value, building value, and the year structures were built explaining a significant amount of the variance in elements of social vulnerability. Demographic characteristics commonly used in social vulnerability analysis did not have significant relationships with measures of wildfire exposure or vulnerability. Part-time or full-time residency, age, perceived property risk, and year of development were among the few significant determinants of residents' performance of fuel reduction mitigations, although the significance of these factors varied across the levels of fuel reduction performed by homeowners. We use these and other results to argue for a renewed focus on the finer-scale characteristics that expose some populations to wildfire risk more than others.

Investing in rangeland restoration in the Arid West, USA: countering the effects of an invasive weed on the long-term fire cycle.

In large areas of the arid western United States, much of which are federally managed, fire frequencies and associated management costs are escalating as flammable, invasive cheatgrass (Bromus tectorum) increases its stronghold. Cheatgrass invasion and the subsequent increase in fire frequency result in the loss of native vegetation, less predictable forage availability for livestock and wildlife, and increased costs and risk associated with firefighting. Revegetation following fire on land that is partially invaded by cheatgrass can reduce both the dominance of cheatgrass and its associated high fire rate. Thus restoration can be viewed as an investment in fire-prevention and, if native seed is used, an investment in maintaining native vegetation on the landscape. Here we develop and employ a Markov model of vegetation dynamics for the sagebrush steppe ecosystem to predict vegetation change and management costs under different intensities and types of post-fire revegetation. We use the results to estimate the minimum total cost curves for maintaining native vegetation on the landscape and for preventing cheatgrass dominance. Our results show that across a variety of model parameter possibilities, increased investment in post-fire revegetation reduces long-term fire management costs by more than enough to offset the costs of revegetation. These results support that a policy of intensive post-fire revegetation will reduce long-term management costs for this ecosystem, in addition to providing environmental benefits. This information may help justify costs associated with revegetation and raise the priority of restoration in federal land budgets.

Health behaviors, body composition, and coronary heart disease risk in women with multiple sclerosis.

OBJECTIVES: To explore coronary heart disease risk in a sample of women with multiple sclerosis (MS) by identifying the presence of established risk factors for coronary heart disease and to determine the relationship between disease severity and level of participation in health-related behaviors. DESIGN: Survey study. SETTING: Five general community settings in Oregon. PARTICIPANTS: Women with physician-diagnosed MS (N=123) recruited from MS chapters, physician referrals, and newspaper announcements. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Modified Yale Physical Activity Survey, Block Food Frequency Questionnaire, blood analysis, skinfolds, and waist and hip circumferences. RESULTS: The majority of women met current physical activity guidelines. The frequencies of unfavorable levels of metabolic variables and obesity were similar to those reported in the general population. Significant associations were observed between mobility and physical activity, total and abdominal fat, and several dietary habits. CONCLUSION: Coronary heart disease risk in this sample was comparable to that of the general population of women without MS. Physical inactivity, body composition, and perhaps nutritional habits decline with decreasing mobility, emphasizing the need for families and health care providers to work together to find solutions that increase health-promoting behaviors in women with more advanced MS.

Coronary heart disease risk between active and inactive women with multiple sclerosis.

PURPOSE: Physical activity is strongly recommended as a principal component of coronary heart disease (CHD) risk factor management aimed at favorably lowering abdominal fat accumulation, lowering levels of triglyceride (TG), raising levels of high-density lipoprotein-cholesterol (HDL-C), and improving insulin sensitivity. Although physical activity practices are reported to be low in women with multiple sclerosis (MS), some women with MS remain physically active despite their disability. Thus, the primary aim of the study was to determine whether abdominal fat accumulation and levels of TG, HDL-C, and glucose differ between active and inactive women with MS. METHODS: The study sample consisted of 123 women with MS, aged 23-72 yr. Venous blood was collected for measurement of lipids, lipoprotein-cholesterol, and glucose. Skin-fold thicknesses and girth circumferences were obtained for estimation of total and abdominal body fat. Leisure-time physical activity (LTPA) during the last 12 months was assessed by the physical activity questionnaire used in the Postmenopausal Estrogens/Progestins Intervention (PEPI) Study. Eating habits were assessed by the Block Food Frequency Questionnaire. RESULTS: LTPA was significantly associated with lower waist circumference (P = 0.0001), lower TG levels (P = 0.0005), and lower glucose levels (0.002). After adjusting for several covariates, women participating in low- to moderate-intensity LTPA had significantly lower waist circumferences, TG levels, and glucose levels relative to inactive women. CONCLUSION: Low- to moderate-intensity LTPA was significantly associated with less abdominal fat accumulation, lower levels of TG, and lower levels of glucose in the present sample of women with MS. These findings suggest that exercise levels attainable by women with MS may improve CHD risk and contribute to important health-related benefits.