Habitat and Open Space at Risk of Land‐Use Conversion: Targeting Strategies for Land Conservation

Funds available to purchase land and easements for conservation purposes are limited. This article provides a targeting strategy for protecting multiple environmental benefits that includes heterogeneity in land costs and probability of land-use conversion, by incorporating spatially explicit land-use change and hedonic price models. This strategy is compared to two alternative strategies that omit either land cost or conversion threat. Based on dynamic programming and Monte Carlo simulations with alternating periods of conservation and development, we demonstrate that the positive correlation between land costs and probability of land-use conversion affects targeting efficiency using parcel data from Sonoma County, California.

[1]  S. Andelman,et al.  Mathematical Methods for Identifying Representative Reserve Networks , 2000 .

[2]  Robert A. Briers,et al.  Incorporating connectivity into reserve selection procedures , 2002 .

[3]  J. Besag,et al.  On the estimation and testing of spatial interaction in Gaussian lattice processes , 1975 .

[4]  Junjie Wu,et al.  Slippage Effects of the Conservation Reserve Program , 2000 .

[5]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[6]  Richard L. Church,et al.  Reserve selection as a maximal covering location problem , 1996 .

[7]  Charles S. ReVelle,et al.  Spatial attributes and reserve design models: A review , 2005 .

[8]  Kshama Harpankar Reserve Selection in the presence of Economic Feedback Effects , 2006 .

[9]  Sergio J. Rey,et al.  Advances in Spatial Econometrics , 2004 .

[10]  Kathleen P. Bell,et al.  Spatial Economic Analysis in Data-Rich Environments , 2007 .

[11]  Carmen E. Carrión-Flores,et al.  Determinants of Residential Land‐Use Conversion and Sprawl at the Rural‐Urban Fringe , 2004 .

[12]  J. Ord,et al.  Spatial Processes: Models and Applications , 1984 .

[13]  R L Pressey,et al.  Beyond opportunism: Key principles for systematic reserve selection. , 1993, Trends in ecology & evolution.

[14]  Amy W. Ando,et al.  Species distributions, land values, and efficient conservation , 1998, Science.

[15]  David S. Wilcove,et al.  The geography of vulnerability: incorporating species geography and human development patterns into conservation planning , 2000 .

[16]  Kathleen P. Bell,et al.  Spatially explicit micro-level modelling of land use change at the rural–urban interface , 2002 .

[17]  Kathleen P. Bell,et al.  Modeling and Managing Urban Growth at the Rural-Urban Fringe: A Parcel-Level Model of Residential Land Use Change , 2003, Agricultural and Resource Economics Review.

[18]  D. Zilberman,et al.  Environmental and Distributional Impacts of Conservation Targeting Strategies , 2001 .

[19]  David Zilberman,et al.  Targeting Tools for the Purchase of Environmental Amenities , 1997 .

[20]  Garth Holloway,et al.  Spatial Econometric Issues for Bio-Economic and Land-Use Modelling , 2007 .

[21]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[22]  S. Polasky,et al.  Dynamic reserve site selection , 2004 .

[23]  Mark M. Fleming Techniques for Estimating Spatially Dependent Discrete Choice Models , 2004 .

[24]  S. Ferson,et al.  Quantitative Methods for Conservation Biology , 2002, Springer New York.

[25]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[26]  A. O. Nicholls,et al.  Selecting networks of reserves to maximise biological diversity , 1988 .

[27]  L. Anselin Spatial Econometrics: Methods and Models , 1988 .

[28]  G. Guthey,et al.  Land Trusts and Conservation Easements: Who Is Conserving What for Whom? , 2004 .