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Effectiveness of conservation easements in agricultural regions
Authors:Mark Braza
Affiliation:1. Department of Urban and Regional Planning, University of Maryland, 3835 Campus Drive, College Park, MD 20742, U.S.A., and U.S. Government Accountability Office, Washington, D.C., U.S.A.Current address: National Center for Smart Growth, University of Maryland, 1112 Preinkert Field House, College Park, MD 20742, U.S.A.;2. email The views expressed in this article are those of the author and not those of the U.S. Government Accountability Office.
Abstract:Conservation easements are a standard technique for preventing habitat loss, particularly in agricultural regions with extensive cropland cultivation, yet little is known about their effectiveness. I developed a spatial econometric approach to propensity‐score matching and used the approach to estimate the amount of habitat loss prevented by a grassland conservation easement program of the U.S. federal government. I used a spatial autoregressive probit model to predict tract enrollment in the easement program as of 2001 based on tract agricultural suitability, habitat quality, and spatial interactions among neighboring tracts. Using the predicted values from the model, I matched enrolled tracts with similar unenrolled tracts to form a treatment group and a control group. To measure the program's impact on subsequent grassland loss, I estimated cropland cultivation rates for both groups in 2014 with a second spatial probit model. Between 2001 and 2014, approximately 14.9% of control tracts were cultivated and 0.3% of treated tracts were cultivated. Therefore, approximately 14.6% of the protected land would have been cultivated in the absence of the program. My results demonstrate that conservation easements can significantly reduce habitat loss in agricultural regions; however, the enrollment of tracts with low cropland suitability may constrain the amount of habitat loss they prevent. My results also show that spatial econometric models can improve the validity of control groups and thereby strengthen causal inferences about program effectiveness in situations when spatial interactions influence conservation decisions.
Keywords:agriculture  conservation economics  conservation planning  grassland  land‐cover change  land‐use change  private lands  protected areas  agricultura  á  reas protegidas  cambios en la cobertura de suelo  cambios en el uso de suelo  economí  a de la conservació  n  pastizales  planeació  n de la conservació  n  terrenos privados
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