4.7 Article

Ecological homogenization of urban USA

期刊

FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
卷 12, 期 1, 页码 74-81

出版社

WILEY
DOI: 10.1890/120374

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资金

  1. MacroSystems Biology Program in the Emerging Frontiers Division of the Biological Sciences Directorate at NSF
  2. Ecological Homogenization of Urban America project [EF-1065548, 1065737, 1065740, 1065741, 1065772, 1065785, 1065831, 121238320]
  3. NSF Long Term Ecological Research Program [DEB-0423476]
  4. Phoenix [BCS-1026865, DEB-0423704, DEB-9714833]
  5. Plum Island (Boston) [OCE-1058747, 1238212]
  6. Cedar Creek (Minneapolis-St Paul) [DEB-0620652]
  7. Florida Coastal Everglades (Miami) [DBI-0620409]
  8. Direct For Biological Sciences
  9. Emerging Frontiers [1065737, 1302967, 1065740, 1065772] Funding Source: National Science Foundation
  10. Direct For Biological Sciences
  11. Emerging Frontiers [1065785, 1065548, 1258503, 1238320, 1559611] Funding Source: National Science Foundation
  12. Direct For Social, Behav & Economic Scie
  13. Divn Of Social and Economic Sciences [0951366] Funding Source: National Science Foundation
  14. Directorate For Geosciences
  15. Division Of Ocean Sciences [1238212] Funding Source: National Science Foundation
  16. Division Of Environmental Biology
  17. Direct For Biological Sciences [1237517, 1027188] Funding Source: National Science Foundation
  18. Division Of Environmental Biology
  19. Direct For Biological Sciences [1026865, 1234162] Funding Source: National Science Foundation

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A visually apparent but scientifically untested outcome of land-use change is homogenization across urban areas, where neighborhoods in different parts of the country have similar patterns of roads, residential lots, commercial areas, and aquatic features. We hypothesize that this homogenization extends to ecological structure and also to ecosystem functions such as carbon dynamics and microclimate, with continental-scale implications. Further, we suggest that understanding urban homogenization will provide the basis for understanding the impacts of urban land-use change from local to continental scales. Here, we show how multi-scale, multi-disciplinary datasets from six metropolitan areas that cover the major climatic regions of the US (Phoenix, AZ; Miami, FL; Baltimore, MD; Boston, MA; Minneapolis-St Paul, MN; and Los Angeles, CA) can be used to determine how household and neighborhood characteristics correlate with land-management practices, land-cover composition, and landscape structure and ecosystem functions at local, regional, and continental scales.

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