The threat of energy diversification to a bioregion: a landscape-level analysis of current and future impacts on the US Chihuahuan Desert

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

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Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses

Agricultural and Resource Economics Review ◽

10.1017/s1068280500002537 ◽

2003 ◽

Vol 32 (1) ◽

pp. 103-115 ◽

Cited By ~ 16

Author(s):

Jeffrey D. Kline

Keyword(s):

Land Use ◽

Land Use Change ◽

Data Modeling ◽

Coast Range ◽

Ecological Processes ◽

Land Use Modeling ◽

Integrated Research ◽

Spatial Specificity ◽

Level Analysis ◽

Landscape Level

Economists increasingly face opportunities to collaborate with ecologists on landscape-level analyses of socioeconomic and ecological processes. This often calls for developing empirical models to project land use change as input into ecological models. Providing ecologists with the land use information they desire can present many challenges regarding data, modeling, and econometrics. This paper provides an overview of the relatively recent adaptation of economics-based land use modeling methods toward greater spatial specificity desired in integrated research with ecologists. Practical issues presented by data, modeling, and econometrics are highlighted, followed by an example based on a multidisciplinary landscape-level analysis in Oregon's Coast Range mountains.

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A landscape-level analysis of yellow-cedar decline in coastal British Columbia

Canadian Journal of Forest Research ◽

10.1139/x11-061 ◽

2011 ◽

Vol 41 (8) ◽

pp. 1638-1648 ◽

Cited By ~ 3

Author(s):

Claire E. Wooton ◽

Brian Klinkenberg

Keyword(s):

British Columbia ◽

Logistic Model ◽

Predictive Accuracy ◽

Site Factors ◽

Dramatic Decline ◽

Show Evidence ◽

Elevation Model ◽

Coastal British Columbia ◽

Level Analysis ◽

Landscape Level

Yellow-cedar (Chamaecyparis nootkatensis D. Don (Spach)) is currently undergoing a dramatic decline in western North America. Recent research suggests that site factors combined with a shift in climate have predisposed yellow-cedar trees to decline. We conducted the first landscape-level analysis of the decline in coastal British Columbia to assess relations between the decline and topographic variables. We used lasso-penalized logistic regression to model yellow-cedar decline presence and absence with topographic variables derived from a digital elevation model. Model results indicated that low elevation sites close to the coast, which are more exposed and have more variation in elevation, are more likely to show evidence of decline. The logistic model fit the data well (Nagelkerke R2 = 0.846) and had high predictive accuracy (AUC = 0.98). The topographic variables identified by the model influence degree of soil saturation, temperatures, and snowpack presence in a forest stand, supporting the proposed associations in the current decline hypothesis. The analysis also highlighted the utility of the lasso logistic model for selecting significant variables and mapping areas at high risk for decline. Knowledge of the determinants of the spatial pattern of decline will improve predictability and provide critical information for conservation and management of yellow-cedar.

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Re: “A County-Level Analysis of the US Radiologist Workforce: Physician Supply and Subspecialty Characteristics”

Journal of the American College of Radiology ◽

10.1016/j.jacr.2018.06.013 ◽

2018 ◽

Vol 15 (9) ◽

pp. 1204-1205

Author(s):

Paul A. Larson

Keyword(s):

County Level ◽

Physician Supply ◽

The Us ◽

Level Analysis

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EXPRESS: Trust Propensity across Cultures: The Role of Collectivism

Journal of International Marketing ◽

10.1177/1069031x211036688 ◽

2021 ◽

pp. 1069031X2110366

Author(s):

Stanford A. Westjohn ◽

Peter Magnusson ◽

George R. Franke ◽

Yi Peng

Keyword(s):

Past Research ◽

Trust Game ◽

Outcome Variable ◽

Individual Level ◽

The Us ◽

The Individual ◽

Trust Propensity ◽

Explanatory Mechanism ◽

Level Analysis

Does collectivism influence an individual's willingness to trust others? Conflicting empirical results from past research and the role of trust in international marketing make this question important to resolve. We investigate this question across cultures and at the individual level with four studies using multiple methods. Study 1 establishes correlational evidence between societal-level collectivism and individual-level trust propensity with results from a multi-level analysis of data from over 6,000 respondents in 36 different countries. Study 2 offers an individual-level analysis using the trust game, introducing a more rigorous behavioral outcome variable. Study 3 contributes causal evidence at the individual level based on experiments in both the US and China and offers evidence of social projection as the explanatory mechanism. Finally, Study 4 demonstrates managerial relevance by using advertising to prime collectivism and assessing its effect on trust in the firm.

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