Notice: The views expressed here are those of the individual authors and may not necessarily reflect the views and policies of the United States Environmental.

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Notice: The views expressed here are those of the individual authors and may not necessarily reflect the views and policies of the United States Environmental Protection Agency (EPA). Scientists in EPA have prepared the EPA sections, and those sections have been reviewed in accordance with EPA’s peer and administrative review policies and approved for presentation and publication. The EPA contributed funding to the construction of this website but is not responsible for it's contents. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.

Socio-Economic Vulnerabilities to / Drivers of Ecosystem Change Lisa A. Wainger and Elizabeth W. Price King and Associates, Inc. Solomons, Maryland Funded by: US EPA ReVA Program

Questions to Address: 1.What issues strongly link household and government concerns to ecosystem vulnerabilities? 2.Can we objectively define measures that are resource-related and controllable? 3.Can we measure these factors at the regional scale? with available data?

Approach Current status of socio-economic conditions and quality of life Leading indicators of population redistribution and changing demographics / development type Implications for managing land use and natural resources State Pressure Response

Quality of Life Indicators Household Economic Condition –Adequate Income & Job Options –Housing Affordability and Home Values Health –Air, Water, & Land Pollution –Safety (Food, Personal) Natural Amenities contributing to Quality of Life –Open space, parks, recreation options Vibrant community Protection from Future Risks

Data Sources US Census: Population, Economic, Agricultural Bureau of Economic Analysis Conservation Biology Institute ReVA partners (Josh Lawler, US EPA) Private databases: IMPLAN, Woods & Poole USGS

Seasonal Housing Units per Capita within Watersheds (quintiles) Source Data: Census 2000 Measurement Units and Reaggregation

Job Opportunites Unemployed Professional Occupations Self-employed Diversity of jobs Travel time to work Net commuting Resource Jobs (agriculture, fisheries, forestry) Per capita income

Job Opportunity Ratings

Job Opportunity Ratings Compared with Proportion Families in Poverty

Direct Economic Dependence on Natural Resources ( Top quintile of resource dependence) Source Data: IMPLAN Proportion of all earnings

Economically Isolated Areas Source Data: BEA

Housing Opportunities Owner-occupied Rent > 30% of income (stressed households) Ratio of median home value to median per capita income (affordability) Change in median home value : income (trends in affordability) Net commuting

More affordable Less affordable Housing Affordability Ratio of Median Home Value to Median Per Capita Income

More affordable Less affordable Trend in Housing Affordability Change in Median Home Value to Median Per Capita Income Ratio

Time Costs of Sprawl: Value of extra time spent commuting from “sprawl” areas ( Average hourly wage) X (commute time > 1 hour ) Source Data: Census 2000

Housing Option Ratings

Future Trends: Natural Amenities as Drivers of New Settlement Patterns Areas formerly characterized by –Population decline or slow growth –Declining dependence on resource jobs (agriculture, forestry, fisheries) Now attracts: –Businesses not tied to particular resources or markets –Amenity-seeking retirees –Self-employed or “distance” commuters –“Natural restoration” industries

Indicators of Amenities Desirable Features Suburban Residential –Affordable housing –Low Crime Rural Amenity-seekers –Seasonal homes –Protected area –Area in water Markers of Change Suburban Residential –More out-commuting –Longer travel to work Rural Amenity-seekers –Increasing % retirees –Increasing seasonal homes

Residential Development Risk

Residential Development Risk Compared with Percentage Change in Jobs ( )

Protected Area: Federal, State, County and Private Land Holdings (incomplete data) Source Data: CBI

Amenity-Seeking Development Risk

Amenity-Seeking Development Risk Compared with Proportion of Individuals > 65 in Poverty

Highest Terrestrial Irreplaceability and Risk from Amenity-Driven Development

Conclusions for ReVA/MAIA region 1.Regional data sets can be used to track conditions and potential drivers of change 2.Direct economic links to natural resources are weak overall and declining, but resource jobs are locally important 3.Evidence of emerging risks to ecosystems from amenity-seeking migrants