The dynamic effects of open-space conservation policies on residential development density

Lewis, D. J.; Provencher, Bill; Butsic, Van

doi:10.1016/j.jeem.2008.11.001

Cited by 59 publications

(40 citation statements)

References 28 publications

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“…One possible reason for this finding might be that heterogeneous sorting behavior leads to the complementary relationship between the private lot and public open space. This is consistent with the findings by Lewis et al (2009) …”

Section: Boom-bust-recovery Periodssupporting

confidence: 94%

The Pricing Effects of Open Space Amenities

Fan

Hansz

Yang

2015

J Real Estate Finan Econ

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A spatial Durbin model (SDM) is developed to estimate the open space proximity values in Fresno-Clovis metropolitan area in Central California circa 2005 to 2012, a time period covering a full market cycle with distinctive boom, bust, and recovery market phases. By controlling for distressed market conditions (vacant, foreclosure, and short-sale transactions) and spillover pricing effects, we find significant but heterogeneous values for proximity to five types of open space amenities. Furthermore, proximity values for parks and golf courses are found to drop by more than 20 % in the bust period relative to the boom period. Results show that failing to capture distressed market conditions and market phases, when the housing market is out of equilibrium, leads to biased results. In addition, our findings suggest that ignoring spatial dependence and spillover pricing effects presents a potential bias in estimating open space amenity values. The SDM, which considers spatial dependence and spillovers at a finer scale in the neighborhood, outperforms region fixed effects models when spatial spillovers are significant.

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Section: Boom-bust-recovery Periodssupporting

confidence: 94%

The Pricing Effects of Open Space Amenities

Fan

Hansz

Yang

2015

J Real Estate Finan Econ

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“…Ultimately, the lack of realistic fine-scale patterns is not an inherent limitation of econometric models. However, data limitations are the main reason why, to date, econometrically modeling fine-scale spatial effects has only been done with richly detailed parcel data sets for small regions such as U.S. counties (e.g., Irwin and Bockstael 2002, Newburn and Berck 2006, Lewis et al 2009, and not at the national scale. New data sets, such as the Land Cover Trends Data (Drummond and Loveland 2010) may overcome these data limitations though.…”

Section: Limitations Of Our Econometric Land-use Modelmentioning

confidence: 99%

“…More realistic simulation of fine-scale spatial patterns is the strength of parcel-level models, which are typically estimated from parcel-level data derived from localized sources such as county land information offices (e.g., Irwin and Bockstael 2002, Newburn and Berck 2006, Lewis et al 2009). Given that most parcel-level data sets can capture neighborhood effects, econometric models estimated from such data tend to incorporate much greater spatial detail.…”

Section: Introductionmentioning

confidence: 99%

“…For example, biodiversity values, carbon stocks, and commodity production levels in the Willamette Basin of Oregon, USA differ considerably among management scenarios when examined with plot-level methods (Polasky et al 2005, Nelson et al 2008, Lewis 2010. Similarly, in northern Wisconsin, a parcel-level econometric model of housing development was coupled with lake ecosystem models and showed the effects of zoning policies on green frog populations (Lewis et al 2009) and ecological indicators of lake ecosystems (Butsic et al 2010).…”

Section: Introductionmentioning

confidence: 99%

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Economic‐based projections of future land use in the conterminous United States under alternative policy scenarios

Radeloff

Nelson

Plantinga

et al. 2012

Ecological Applications

133

113

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Abstract. Land-use change significantly contributes to biodiversity loss, invasive species spread, changes in biogeochemical cycles, and the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected land use at the fine spatial scales relevant for modeling many ecological processes and at dimensions appropriate for regional or national-level policy making. Our goal was to construct and parameterize an econometric model of land-use change to project future land use to the year 2051 at a fine spatial scale across the conterminous United States under several alternative land-use policy scenarios. We parameterized the econometric model of land-use change with the National Resource Inventory (NRI) 1992 and 1997 land-use data for 844 000 sample points. Land-use transitions were estimated for five land-use classes (cropland, pasture, range, forest, and urban). We predicted land-use change under four scenarios: business-as-usual, afforestation, removal of agricultural subsidies, and increased urban rents. Our results for the business-asusual scenario showed widespread changes in land use, affecting 36% of the land area of the conterminous United States, with large increases in urban land (79%) and forest (7%), and declines in cropland (À16%) and pasture (À13%). Areas with particularly high rates of landuse change included the larger Chicago area, parts of the Pacific Northwest, and the Central Valley of California. However, while land-use change was substantial, differences in results among the four scenarios were relatively minor. The only scenario that was markedly different was the afforestation scenario, which resulted in an increase of forest area that was twice as high as the business-as-usual scenario. Land-use policies can affect trends, but only so much. The basic economic and demographic factors shaping land-use changes in the United States are powerful, and even fairly dramatic policy changes, showed only moderate deviations from the business-as-usual scenario. Given the magnitude of predicted land-use change, any attempts to identify a sustainable future or to predict the effects of climate change will have to take likely land-use changes into account. Econometric models that can simulate land-use change for broad areas with fine resolution are necessary to predict trends in ecosystem service provision and biodiversity persistence.

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“…Global, national, and region wide economic conditions are the largest drivers of aggregate land use change [12,13]. For the individual decision maker, however, local conditions-Including physical conditions of the land, the location of a given piece of land, and the nuanced preferences of the landowner can impact land use decisions [14,15]. Together, global and local drivers interact to create land use systems.…”

Section: Introductionmentioning

confidence: 99%

Land Use and Wildfire: A Review of Local Interactions and Teleconnections

Butsic

Kelly

Moritz

2015

Land

Self Cite

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Abstract:Fire is a naturally occurring process of most terrestrial ecosystems as well as a tool for changing land use. Since the beginning of history humans have used fire as a mechanism for creating areas suitable for agriculture and settlement. As fires threaten human dominated landscapes, fire risk itself has become a driver of landscape change, impacting landscapes through land use regulations and fire management. Land use changes also influence fire ignition frequency and fuel loads and hence alters fire regimes. The impact of these changes is often exacerbated as new land users demand alternative fire management strategies, which can impact land cover and management far from where land use change has actually occurred. This creates nuanced land use teleconnections between source areas for fires and economic cores, which demand and fund fire protection. Here we will review the role of fire and fire risk as a driver of land use change, the ways land use changes impact drivers of fire, and suggest that the integration of land use teleconnections into the fire/land use discussion can help us better understand and manage the complex interactions between fire and land use.

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The dynamic effects of open-space conservation policies on residential development density

Cited by 59 publications

References 28 publications

The Pricing Effects of Open Space Amenities

The Pricing Effects of Open Space Amenities

Economic‐based projections of future land use in the conterminous United States under alternative policy scenarios

Land Use and Wildfire: A Review of Local Interactions and Teleconnections

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