Landscape Ecology

, Volume 23, Issue 2, pp 195–210 | Cite as

Predicting land use change: comparison of models based on landowner surveys and historical land cover trends

  • Amy Pocewicz
  • Max Nielsen-Pincus
  • Caren S. Goldberg
  • Melanie H. Johnson
  • Penelope Morgan
  • Jo Ellen Force
  • Lisette P. Waits
  • Lee Vierling
Research Article


To make informed planning decisions, community leaders, elected officials, scientists, and natural resource managers must be able to evaluate potential effects of policies on land use change. Many land use change models use remotely-sensed images to make predictions based on historical trends. One alternative is a survey-based approach in which landowners’ stated intentions are modeled. The objectives of our research were to: (1) develop a survey-based landowner decision model (SBM) to simulate future land use changes, (2) compare projections from the SBM with those from a trend-based model (TBM), and (3) demonstrate how two alternative policy scenarios can be incorporated into the SBM and compared. We modeled relationships between land management decisions, collected from a mail survey of private landowners, and the landscape, using remotely-sensed imagery and ownership parcel data. We found that SBM projections were within the range of TBM projections and that the SBM was less affected by errors in image classification. Our analysis of alternative policies demonstrates the importance of understanding potential effects of targeted land use policies. While policies oriented toward increasing enrollment in the Conservation Reserve Program (CRP) resulted in a large (11–13%) increase in CRP lands, policies targeting increased forest thinning on private non-industrial lands increased low-density forest projections by only 1%. The SBM approach is particularly appropriate for landscapes including many landowners, because it reflects the decision-making of the landowners whose individual actions will result in collective landscape change.


Agriculture Alternative futures Conservation Reserve Program Forestry Markov-chain modeling Northern Idaho Residential development Survey-based modeling 



We thank the 442 survey participants and interview contributors: Ross Appelgren, Robert Barkley, Trish Heekin, Dean Johnson, Ron Mahoney, Brian Moser, Nolan Noren, Dennis Parent, and Chris Schnepf. We received assistance with LU/LC mapping, statistical, and GIS modeling methods from Roger Bivand, Mike Falkowski, Steven Sesnie, Alistair Smith, Kirk Steinhorst, Eva Strand and David Theobald. Paul Gessler provided historical Landsat imagery. We thank Nicole Nielsen-Pincus, Sam Chambers, and Drew Hawley for assisting with the landowner surveys. We thank David Theobald, Sanford Eigenbrode, Andrew Robinson, and two anonymous reviewers for insightful comments that improved the manuscript. This research was funded by the USDA McIntire-Stennis Program, National Science Foundation IGERT grant 0014304, and the University of Idaho.


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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Amy Pocewicz
    • 1
    • 5
  • Max Nielsen-Pincus
    • 1
  • Caren S. Goldberg
    • 2
  • Melanie H. Johnson
    • 3
  • Penelope Morgan
    • 1
  • Jo Ellen Force
    • 1
  • Lisette P. Waits
    • 2
  • Lee Vierling
    • 4
  1. 1.Department of Forest ResourcesUniversity of IdahoMoscowUSA
  2. 2.Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowUSA
  3. 3.Department of Environmental ScienceUniversity of IdahoMoscowUSA
  4. 4.Department of Rangeland Ecology and ManagementUniversity of IdahoMoscowUSA
  5. 5.The Nature Conservancy, Wyoming Field OfficeLanderUSA

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