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Social-Ecological Predictors of Global Invasions and Extinctions

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dc.contributor.author Lotz, Aaron
dc.contributor.author Allen, Craig R.
dc.date.accessioned 2013-11-12T14:59:32Z
dc.date.available 2013-11-12T14:59:32Z
dc.date.issued 2013 en_US
dc.identifier.uri https://hdl.handle.net/10535/9149
dc.description.abstract "Most assessments of resilience have been focused on local conditions. Studies focused on the relationship between humanity and environmental degradation are rare, and are rarely comprehensive. We investigated multiple social-ecological factors for 100 countries around the globe in relation to the percentage of invasions and extinctions within each country. These 100 countries contain approximately 87% of the world’s population, produce 43% of the world’s per capita gross domestic product (GDP), and take up 74% of the earth’s total land area. We used an information theoretic approach to determine which models were most supported by our data, utilizing an a priori set of plausible models that included a combination of 15 social-ecological variables, each social-ecological factor by itself, and selected social-ecological factors grouped into three broad classes. These variables were per capita GDP, export-import ratio, tourism, undernourishment, energy efficiency, agricultural intensity, rainfall, water stress, wilderness protection, total biodiversity, life expectancy, adult literacy, pesticide regulation, political stability, and female participation in government. Our results indicate that as total biodiversity and total land area increase, the percentage of endangered birds also increases. As the independent variables (agricultural intensity, rainfall, water stress, and total biodiversity) in the ecological class model increase, the percentage of endangered mammals in a country increases. The percentage of invasive birds and mammals in a country increases as per capita GDP increases. As life expectancy increases, the percentage of invasive and endangered birds and mammals increases. Although our analysis does not determine mechanisms, the patterns observed in this study provide insight into the dynamics of a complex, global, social-ecological system." en_US
dc.language English en_US
dc.subject biodiversity en_US
dc.subject social-ecological systems en_US
dc.subject invasive species en_US
dc.subject management en_US
dc.subject endangered species en_US
dc.subject conservation en_US
dc.title Social-Ecological Predictors of Global Invasions and Extinctions en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Case Study en_US
dc.subject.sector General & Multiple Resources en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 18 en_US
dc.identifier.citationnumber 3 en_US
dc.identifier.citationmonth September en_US


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