Assessing the influence of rapid urban growth and regional policies on biological resources

Beardsley, Karen; Thorne, James H.; Roth, Nathaniel; Gao, Shengyi; McCoy, Michael

doi:10.1016/j.landurbplan.2009.07.003

Cited by 65 publications

(47 citation statements)

References 34 publications

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“…It is a suitable model for broad-brush urbanization modeling of large land areas using multiple development scenarios, and has been used by more than 20 counties in California, including a group of rural Blueprint counties in the San Joaquin Valley (Johnston et al 2009). In the past it has been employed to assess the impacts of urbanization policies and growth on natural resources (Beardsley et al 2009), to understand the risk of wildfires in rural woodlands from urban growth (Byrd et al 2009), and to evaluate the effect of land use policies on natural land conversion (Merenlander et al 2005).…”

Section: Methodsmentioning

confidence: 99%

“…Urbanization accounted for the loss of about 6,500 acres (2,631 hectares) 1990 2008 1990 2008 1990 2008 1990 2008 1990 2008 1990 2008 1990 2008 (Table 3). This 70-fold difference in the annual rate of emissions between urbanized land and irrigated cropland suggests that land-use policies, which protect existing farmland from urban development, are likely to help stabilize and or reduce future emissions, particularly if they are coupled with "smart growth" policies that prioritize urban infill over expansion (Liu et al 2003;Beardsley et al 2009). …”

Section: Land Use Change and Its Effects On Emissionsmentioning

confidence: 99%

“…Previous UPlan modeling showed, however, that protecting only prime agricultural land in California's San Joaquin Valley resulted in greater use of less desirable land, and more urban sprawl than prioritizing compact growth (Roth et al in review). Beardsley et al (2009) also used UPlan to show that compact growth was the most effective way to preserve biologically valuable land in the Central Valley.…”

Section: Land Use Under Different Climate Change Scenariosmentioning

confidence: 99%

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Agricultural Sustainability

2013

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Section: Methodsmentioning

confidence: 99%

Section: Land Use Change and Its Effects On Emissionsmentioning

confidence: 99%

Section: Land Use Under Different Climate Change Scenariosmentioning

confidence: 99%

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Agricultural Sustainability

2013

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“…Social and environmental scientists are increasingly using highly detailed models of land use and land change (LULC) [1,2] with the goal of better understanding human's influence on future LULC and ecosystems [3]. Urbanization is a dominant global and regional driver of LULC with far reaching impacts on climate through decreased surface albedo and increased emissions of CO 2 and other greenhouse gases [4,5].…”

Section: Introductionmentioning

confidence: 99%

Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models

Pickard

Gray

Meentemeyer

2017

Land

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Abstract:The growing numbers of land change models makes it difficult to select a model at the beginning of an analysis, and is often arbitrary and at the researcher's discretion. How to select a model at the beginning of an analysis, when multiple are suitable, represents a critical research gap currently understudied, where trade-offs of choosing one model over another are often unknown. Repeatable methods are needed to conduct cross-model comparisons to understand the trade-offs among models when the same calibration and validation data are used. Several methods to assess accuracy have been proposed that emphasize quantity and allocation, while overlooking the accuracy with which a model simulates the spatial configuration (e.g., size and shape) of map categories across landscapes. We compared the quantity, allocation, and configuration accuracy of four inductive pattern-based spatial allocation land change models (SLEUTH, GEOMOD, Land Change Modeler (LCM), and FUTURES). We simulated urban development with each model using identical input data from ten counties surrounding the growing region of Charlotte, North Carolina. Maintaining the same input data, such as land cover, drivers of change, and projected quantity of change, reduces differences in model inputs and allows for focus on trade-offs in different types of model accuracy. Results suggest that these four land change models produce representations of urban development with substantial variance, where some models may better simulate quantity and allocation at the trade-off of configuration accuracy, and vice versa. Trade-offs in accuracy exist with respect to the amount, spatial allocation, and landscape configuration of each model. This comparison exercise illustrates the range of accuracies for these models, and demonstrates the need to consider all three types of accuracy when assessing land change model's projections.

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“…Change of land use patterns to urban areas has become a major problem resulting from economic and population growth, especially in developing countries [1][2][3][4][5]. The urbanization process which has resulted from both direct and indirect influences is multi-directional and differentiated in time and space [6].…”

Section: Introductionmentioning

confidence: 99%

Change of Land Use Patterns in the Areas Close to the Airport Development Area and Some Implicating Factors

Swangjang

Iamaram

2011

Sustainability

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This paper presents the description of land use change in the suburbs near Suvarnabhumi International Airport, with a focus on land use patterns before and during airport development. According to geographic information system (GIS), land use patterns are categorized into three main groups, namely intensive urban development land, areas developed under environmental conditions, and natural land. Steps of land use changes, land use planning and related factors concerning number of population, dwelling units and factories were analyzed. In the short term, urban development dramatically increases by 39.97% whereas the areas developed under environmental conditions decreased by 37.52%, with significant correlation (P < 0.05). The natural land which is typically grassland and watercourses changed insignificantly (P > 0.05). Urbanization of the areas where the airport is located increased between 10.07% and 15.57%. The changes of land use comply with the Integrated Town and Country Planning. The areas where urbanization is small are under the area designated as the green area. Urban expansion is mainly a result of increase in residential areas which is closely related to number of population. Such changes indicate a need for more effective urban development planning and management to conserve environmental quality.

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Assessing the influence of rapid urban growth and regional policies on biological resources

Cited by 65 publications

References 34 publications

Agricultural Sustainability

Agricultural Sustainability

Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models

Change of Land Use Patterns in the Areas Close to the Airport Development Area and Some Implicating Factors

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