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Title of Journal: Landscape Ecol

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Abbravation: Landscape Ecology

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Springer Netherlands

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DOI

10.1007/s10670-011-9317-8

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ISSN

1572-9761

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Modeling exurban development near Washington DC

Authors: Marcela SuarezRubio Todd R Lookingbill Lisa A Wainger
Publish Date: 2012/06/23
Volume: 27, Issue: 7, Pages: 1045-1061
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Abstract

The development of private rural lands can significantly fragment landscapes with potentially negative consequences on ecosystem services Models of landuse trends beyond the urban fringe are therefore useful for developing policy to manage these environmental effects However landuse change models have been primarily applied in urban environments and it is unclear whether they can adequately predict exurban growth This study compared the ability of two urban growth models to project exurban development in northcentral Virginia and western Maryland over a 24year period Patternbased urban growth models such as SLEUTH are widely used but largely mimic patterns that emerge from historic conditions rather than allowing landowner decisionmaking to project change In contrast spatiallyexplicit econometric models such as the complementary log–log hazard assessed in this study model landowner choices as profitmaximizing behavior subject to market and regulatory constraints We evaluated the two rasterbased models by comparing model predictions to observed exurban conversion at pixel and county scales The SLEUTH model was more successful at matching the total amount of new growth at the county scale than it was at the pixel scale suggesting its most appropriate use in exurban areas is as a blunt instrument to forewarn potential coarsescale losses of natural resources The econometric model performed significantly better than SLEUTH at both scales although it was not completely successful in fulfilling its promise of projecting changes that were sensitive to policy The lack of significance of some policy variables may have resulted from insufficient variation in drivers over our study area or time period but also suggests that drivers of land use change in exurban environments may differ from those identified for urban areasWe would like to thank S Guinn for his assistance with the travel cost layer C Jantz for providing access to SLEUTH3r and her valuable advice with SLEUTH and R Iovanna for his guidelines on creating the surface based on the complementary log–log hazard model Discussions with R Gardner A Elmore P Leimgruber and P Marra were invaluable in designing this study We also thank three reviewers for their valuable comments


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  3. How the eastern US National Forests were formed
  4. Spatial resilience: integrating landscape ecology, resilience, and sustainability
  5. The use of metapopulation and optimal foraging theories to predict movement and foraging decisions of mobile animals in heterogeneous landscapes
  6. Characterising landscape connectivity for conservation planning using a dispersal guild approach
  7. Effects of field and landscape variables on crop colonization and biological control of the cabbage root fly Delia radicum
  8. The potential to restore native woody plant richness and composition in a reforesting landscape: a modeling approach in the Ecuadorian Andes
  9. Past, present and future of wild ungulates in relation to changes in land use
  10. Biogeochemical fluxes in landscapes
  11. Spatiotemporal dynamics of black-tailed prairie dog colonies affected by plague
  12. Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal
  13. Thresholds of landscape change: a new tool to manage green infrastructure and social–economic development
  14. Testing coexistence of extinction debt and colonization credit in fragmented calcareous grasslands with complex historical dynamics
  15. Changes in landscape naturalness derived from a historical land register—a case study from NE Germany
  16. Linking Land-use, Water Body Type and Water Quality in Southern New Zealand
  17. Spatial fit between water quality policies and hydrologic ecosystem services in an urbanizing agricultural landscape
  18. The impact of land use/land cover scale on modelling urban ecosystem services
  19. Using landscape analysis to assess and model tsunami damage in Aceh province, Sumatra
  20. Geographic position and landscape composition explain regional patterns of migrating landbird distributions during spring stopover along the northern coast of the Gulf of Mexico
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  23. Ontologies for transparent integrated human-natural system modelling
  24. Scenarios of long-term farm structural change for application in climate change impact assessment
  25. Influence of patch, habitat, and landscape characteristics on patterns of Lower Keys marsh rabbit occurrence following Hurricane Wilma
  26. Multi-scale predictive habitat suitability modeling based on hierarchically delineated patches: an example for yellow-billed cuckoos nesting in riparian forests, California, USA
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  32. M. Doyle and C. A. Drew (eds): Large-Scale Ecosystem Restoration: Five Case Studies from the United States
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