Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges
Housing growth can alter suitability of matrix habitats around protected areas, strongly affecting movements of organisms and, consequently, threatening connectivity of protected area networks.
Our goal was to quantify distribution and growth of housing around the U.S. Fish and Wildlife Service National Wildlife Refuge System. This is important information for conservation planning, particularly given promotion of habitat connectivity as a climate change adaptation measure.
We quantified housing growth from 1940 to 2000 and projected future growth to 2030 within three distances from refuges, identifying very low housing density open space, “opportunity areas” (contiguous areas with <6.17 houses/km2), both nationally and by USFWS administrative region. Additionally, we quantified number and area of habitat corridors within these opportunity areas in 2000.
Our results indicated that the number and area of open space opportunity areas generally decreased with increasing distance from refuges and with the passage of time. Furthermore, total area in habitat corridors was much lower than in opportunity areas. In addition, the number of corridors sometimes exceeded number of opportunity areas as a result of habitat fragmentation, indicating corridors are likely vulnerable to land use change. Finally, regional differences were strong and indicated some refuges may have experienced so much housing growth already that they are effectively too isolated to adapt to climate change, while others may require extensive habitat restoration work.
Wildlife refuges are increasingly isolated by residential housing development, potentially constraining the movement of wildlife and, therefore, their ability to adapt to a changing climate.
KeywordsConnectivity Corridors Climate change adaptation Exurban growth Housing growth
- Carpenter S, Bennett E, Peterson G (2006) Scenarios for ecosystem services: an overview. Ecol Soc 11(1):29Google Scholar
- Fahrig L, Rytwinski T (2009) Effects of roads on animal abundance: an empirical review and synthesis. Ecol Soc 14(1):21Google Scholar
- Fry J, Xian G, Jin S, Dewitz J, Homer C, Yang L, Barnes C, Herold N, Wickham J (2011) Completion of the 2006 National land cover database for the conterminous United States. Photogramm Eng Remote Sens 77:858–864Google Scholar
- Gagne SA, Fahrig L (2010b) The trade-off between housing density and sprawl area: minimizing impacts to Carabid Beetles (Coleoptera: Carabidae). Ecol Soc 15(4):12Google Scholar
- Predick KI, Turner MG (2008) Landscape configuration and flood frequency influence invasive shrubs in floodplain forests of the Wisconsin River (USA). J Ecol 96:91–102Google Scholar
- Radeloff VC, Hammer RB, Voss PR, Hagen AE, Field DR, Mladenoff DJ (2001) Human demographic trends and landscape level forest management in the northwest Wisconsin Pine Barrens. For Sci 47:229–241Google Scholar
- Radeloff VC, Nelson E, Plantinga AJ, Lewis DJ, Helmers D, Lawler JJ, Withey JC, Beaudry F, Martinuzzi S, Butsic V, Lonsdorf E, White D, Polasky S (2012) Economic-based projections of future land use in the conterminous United States under alternative policy scenarios. Ecol Appl 22:1036–1049CrossRefPubMedGoogle Scholar
- Rothley K (2005) Finding and filling the “cracks” in resistance surfaces for least-cost modeling. Ecol Soc 10(1):4Google Scholar
- Sala OE, Chapin FS, Armesto JJ, Berlow E, Bloomfield J, Dirzo R, Huber-Sanwald E, Huenneke LF, Jackson RB, Kinzig A, Leemans R, Lodge DM, Mooney HA, Oesterheld M, Poff NL, Sykes MT, Walker BH, Walker M, Wall DH (2000) Biodiversity—global biodiversity scenarios for the year 2100. Science 287:1770–1774CrossRefPubMedGoogle Scholar
- Scott JM, Loveland T, Gergely K, Strittholt J, Staus N (2004) National Wildlife Refuge System: ecological context and integrity. Nat Res J 44:1041–1066Google Scholar
- Sutherland GD, Harestad AS, Price K, Lertzman KP (2000) Scaling of natal dispersal distances in terrestrial birds and mammals. Conserv Ecol 4(1):16Google Scholar
- Van Vuuren DP, Sala OE, Pereira HM (2006) The future of vascular plant diversity under four global scenarios. Ecol Soc 11(2):25Google Scholar
- Williams JW, Ordonez A, Notaro M, Veloz SAM, Vimont DJ (2012) Environmental and economic research and development program climatic analogs, climate velocity, and potential shifts in vegetation structure and biomass for Wisconsin under 21st-century climate-change scenarios Final Report. MadisonGoogle Scholar