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Research ArticleArticles

Using GIS to Assess Urban Tree Canopy Benefits and Surrounding Greenspace Distributions

Mark C. Dwyer and Robert W. Miller
Arboriculture & Urban Forestry (AUF) March 1999, 25 (2) 102-107; DOI: https://doi.org/10.48044/jauf.1999.016
Mark C. Dwyer
1Landscape Manager Rotary Gardens Janesville, WI53545
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Robert W. Miller
2Professor College of Natural Resources University of Wisconsin—Stevens Point Stevens Point, WI 54481
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Abstract

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CITYgreen®, a geographic information system (GIS)-based program, was used to evaluate selected benefits provided by the tree canopy in the city of Stevens Point, Wisconsin. We assessed the distribution of open space in and around the greater Stevens Point area, energy savings from lowered air-conditioning costs, and the reductions in stormwater runoff as a partial function of existing tree canopy. Estimated annual energy savings for residential areas in Stevens Point and surrounding communities was $126,859. A storm delivering 6.6 cm (2.6 in.) of rain in 24 hours will deposit just under 2 billion L (530 million gal) of water on Stevens Point, of which 400 million L (106 million gal) will run off into the Wisconsin River. Approximately 6% of Stevens Point is covered by impervious surfacing, which accounts for 24% of the city’s total stormwater runoff volume. Orthophotographs were digitized on screen, and land surrounding Stevens Point was classified based on vegetation cover, land use, and current zoning. Land use in the greater Stevens Point area (22,250 ha [55, 000 ac]) is 20.7% developed, 24.1% agriculture, 46.8% undeveloped, and 8.4% surface water. Planners, managers, elected officials, and other interested parties in land-use planning for the region are using the results of this study for open-space planning.

Key Words
  • Geographic information systems
  • GIS
  • tree canopy
  • greenspace
  • stormwater runoff
  • planning
  • energy savings, urban forest

Identifying and describing the benefits of the urban forest to a community is the first step in gaining support for an urban forestry program of tree planting, maintenance, and replacement. Similarly, community planners require information regarding current land-use and open-space distributions in order to direct future patterns of growth and greenspace development. Urban forest structure, defined by the size, species composition, and location of urban trees, is typically expressed as a percentage of tree canopy cover over a city, and is an indicator of the contributions of the urban forest (Nowak 1991). Urban tree canopies reduce summer cooling (air-conditioning) costs by shading structures and air conditioners. The magnitude of cooling energy savings due to direct tree shade depends on tree placement, crown shape, crown density, growth rate, and longevity (McPherson and Rowntree 1993), as well as the age of building construction, occupant behavior, window location, and seasonal solar angles (Simpson and McPherson 1996). The individual homeowner can obtain substantial savings from optimal tree shade, but greater benefits will accrue for the community as a whole due to the combined effect of the overall urban canopy on the local climate. Reduced demand for air-conditioning energy will lower the amount of fossil fuel and/or water consumed by power plants, resulting in both conserved water and reduced emissions of carbon dioxide and other pollutants from smokestacks (McPherson 1991; Nowak 1995).

Urbanization increases the land area that is covered with impermeable surfaces such as streets, sidewalks, driveways, and building rooftops. Rain falling on these surfaces flows quickly into sewers, increasing the incidence and severity of flooding (McPherson 1990). Tree canopies intercept rainfall, thereby reducing peak discharge into stormwater sewers. This interception allows for groundwater recharge, reduces the cost of stormwater disposal, and averts flooding and sedimentation of waterways. Slope, soil type, amount of rain, and other factors also affect stormwater runoff rates. The amount of tree canopy in urban environments, however, is a “controllable” element that significantly and measurably affects stormwater runoff rates and volumes.

To ensure future contributions of the urban forest, urban foresters must frequently look beyond the community at larger systems of forest and other open space that has potential to be preserved or conserved as land is converted for residential, commercial, and industrial use. A comprehensive planning approach,frequently encompassing multiple jurisdictions, could plan development patterns so as to maintain natural areas and greenspace while allowing for growth.

Examining patterns of land use and land ownership, along with vegetation patterns and other natural features, allows urban foresters and planners to more appropriately plan for changes in land use that will consider natural resource distributions. These urban forests may include remnant forests, riparian corridors, and other open space. As urban forests are considered in land-use plans, the ability of the urban forest to contribute to environmental quality also increases, thereby yielding a return on the city’s investment (Macie 1994). Aside from individual tree benefits, collective systems of urban forests offer additional benefits to the community They provide recreation opportunities, trap eroded sediments and soilborne pesticides and herbicides, moderate temperature extremes and air pollution, and provide wildlife habitat and species dispersal routes (Thorne 1993).

Recent developments in technology have allowed for an accurate and comprehensive assessment of the structure and benefits provided by urban forests. Aerial photographs combined with remotely sensed spatial data provide an overview of natural resources and land use. When used in conjunction with GIS technology, information on urban forests can be analyzed and updated. GIS reduces the time needed for map production, revisions, and information storage while allowing for the combination of data “layers” and the timely analysis of spatial variables.

Study Area

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We characterized our study area as the greater Stevens Point area. With a population of 40,000 (1990 census), this area includes the city of Stevens Point, 3 villages, and 5 townships covering 22,250 ha (55,000 ac). This area was selected because it encompasses the majority of urban development in the county, has varied land use and natural resources, and is experiencing rapid urban development.

Methods: Developed Lands

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Energy Savings

Energy savings from lowered air-conditioning costs due to tree shade for Stevens Point and 3 adjacent villages were computed using CITYgreen®, specialized GIS software developed by American Forests (1516 P Street NW, P.O. Box 2000, Washington, DC 20013). Only residential areas were examined. This program takes spatial data layers, performs overlay analysis, and computes energy savings.

Two primary layers of information are used for energy savings analysis; land use and land cover. CITYgreen combines these features into “EcoStructures.” Additional field data is then applied to these EcoStructures to compute energy savings.

Land-use information for the city of Stevens Point and the 3 adjacent villages was gathered from existing municipal maps and put into a GIS digital format. Each land-use area was assigned a value corresponding to a land-use category based on the Anderson Land Use Classification System (Table 1). This classification system is used in CITYgreen.

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Table 1. Land-use categories* in the Stevens Point area.

The land-cover layer was developed using criteria required by CITYgreen. Land cover consists of the following 3 elements represented as percentages of cover: 1) tree canopy, 2) grass/herbaceous, and 3) impervious surface. The combined percentage of these 3 elements equals 100% for each land-cover classification. CITYgreen consolidates the percentages into 5 categories (Table 2). Land-cover information for the urban study area was determined using black-and-white, stereo-infrared aerial photographs (taken in 1992) at a scale of 1:15,840, provided by the Wisconsin Department of Natural Resources. Land-cover classifications were determined on a block-by-block basis.

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Table 2. Land-cover delineations applied to tree canopy, turf, and impervious surfaces.

After creating EcoStructures for Stevens Point, we applied field data from the city of Milwaukee, Wisconsin. A comprehensive inventory of relative tree data was not available for Stevens Point or the adjacent villages. Patterns of land use and tree canopy cover, as well as summer air-conditioning usage variables, are similar in Stevens Point and Milwaukee, allowing the use of field data from Milwaukee. The field data consist of information on crown size, location, species, ownership, trunk diameter, total height, health, and conflicts. Each tree was assigned an energy rating that indicated its shading ability and effectiveness. Savings multipliers were then applied for all trees by EcoStructure, producing an estimated dollar amount in energy savings.

Stormwater Benefits

CITYgreen was used for stormwater analysis of Stevens Point and was based on elements of precipitation information, hydrologic soil group, and landcover class. Only the city of Stevens Point was examined. Precipitation data were for a 2-year, 24-hour storm event of 6.6 cm (2.6 in.) of rainfall. Soils were grouped into 4 categories according to their drainage characteristics. The land-cover layer provided information on the amount of impervious surface in each EcoStructure. Stormwater runoff rates were classified as a percentage of rainfall that initially runs off site, based on the above elements; these percentages were then grouped into 5 “runoff amount” categories (Table 3).

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Table 3. Stevens Point stormwater runoff by categories and percentages of the city.*

Methods: Undeveloped Lands

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Open-Space Distribution

The greater Stevens Point area was classified into 19 land-use/land-cover categories through the onscreen digitizing of 1992 orthophotographs in a GIS using the ArcEDIT® module of ARC/INFO® developed by ESRI (380 New York St., Redlands, CA 92373, [800] 447-5953). CITYgreen was not used for this analysis. These categories were further consolidated into the classifications of undeveloped, developed, agriculture, and water cover (Figure 1). Orthophotographs represent true earth coordinates that have been corrected for discrepancies caused by camera error or displacements due to topographical differences. A rural zoning layer describing 12 zoning categories was compiled from existing digital sources and maps.

Figure 1.
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Figure 1.

Greater Stevens Point area land use/land cover.

Combining the land-use and zoning layers in GIS allowed for a single coverage containing the combined information from both sources. Using such criteria as land cover, zoning, size, and location, lands were identified for possible protection based on their proximity to an existing greenway that circles through the study area.

Results

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Energy Savings

The estimate for annual energy savings as a result of tree shade and lowered air-conditioning costs for all of the urban residential areas in the study area is $126,859 as determined by CITYgreen.

Stormwater Benefits

A 2-year, 24-hour storm event of 6.6 cm (2.6 in.) will deposit 2 billion L (530 million gal) of stormwater on Stevens Point. Of this amount, 400 million L (106 million gal) will run off into the Wisconsin River. Six percent of Stevens Point is covered by buildings and concrete with few trees, and accounts for 24.5% of the total stormwater runoff for the city. Areas with heavy tree canopy have much lower runoff rates and volumes (Table 3).

Open-Space Distribution

The greater Stevens Point area is 20.7% developed, 46.8% undeveloped natural areas and forests, 24.1% agriculture, and 8.4% surface water. Based on criteria mentioned in the Methods section, priority lands were identified and located. Priority lands are those that are currently undeveloped that, along with their current zoning, makes them important not only for protection, preservation, and/or conservation but as potential linkages to the current greenway. In the rural fringe, 3,160 ha (7,800 ac) of land are legally protected as conservancy, largely along waterways. Of the 9,037 ha (22,320 ac) zoned as agriculture, only 5,364 ha (13,250 ac) are currently being actively used, possibly because of the quantity of remaining forests on these lands. There is concern regarding the future of remaining open spaces. Many priority lands located in rural areas are prime for development as increasing land value and re-zoning initiatives may claim these natural areas.

Discussion

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The objective of this study was to develop a model that examines distributions of trees and natural systems in and around Stevens Point and quantifies some of the benefits they provide. This information will help planners, city managers, and other decision-makers properly plan for the urban forest. The relationships between urban forest structure and function, when quantified, will allow managers to create and maintain functional and beneficial urban forests (Nowak 1991). Energy savings and stormwater runoff reduction are 2 of the benefits of urban forests that can be quantified and appropriately used in urban forest planning and management. With urban development expanding into rural areas, there is a need to examine existing forest resources and recommend patterns of protection to guide development and preserve tree canopy.

Tools such as GIS allow for large-scale assessments for open-space planning that can include parks, forests, and possible greenway linkages. These spatial analyses and inventories provide current, comprehensive information vital to open-space decision-making and identify opportunities for a coordinated effort to guide urban development in a manner that will take advantage of all the social and ecological functions available from the urban forest.

Acknowledgements

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This project was funded by a cooperative community forestry assistance grant in conjunction with the City of Stevens Point, the Wisconsin Department of Natural Resources, the University of Wisconsin—Stevens Point, Portage County Planning and Zoning Department, and American Forests.

  • © 1999, International Society of Arboriculture. All rights reserved.

Literature Cited

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  1. ↵
    1. Macie, E.
    1994. The urban forest component of public infrastructure, pp 30–33. In Proceedings of the Sixth National Urban Forest Conference. Minneapolis, MN. Sept. 14-18, 1993. American Forests, Washington, DC.
  2. ↵
    1. McPherson, E.G.
    1990. Economic modeling for large-scale urban tree plantings. In Proceedings of the ACEEE 1990 Summer Study on Energy Efficiency in Buildings. American Council for an. Energy Efficient Economy, Washington, DC.
  3. ↵
    1. McPherson, E.G.
    1991. Environmental benefits and costs of the urban forest, pp 52–54. In Proceedings of the Fifth National Urban Forest Conference. Los Angeles, CA. Nov. 12-17, 1991. American Forestry Association, Washington, DC.
  4. ↵
    1. McPherson, E.G., and
    2. R.A. Rowntree
    . 1993. Energy conservation potential of urban tree planting. J. Arboric. 19:321–331.
    OpenUrl
  5. ↵
    1. Nowak, D.J.
    1991. Urban forest structure and the functions of hydrocarbon emissions and carbon storage, pp 48–51. In Proceedings of the Fifth National Urban Forest Conference. Los Angeles, CA. Nov. 12-17, 1991. American Forestry Association, Washington, DC.
  6. ↵
    1. Nowak, D.J.
    1995. Trees pollute? A “TREE” explains it all, pp 28–30. In Proceedings of the Seventh National Urban Forest Conference. New York, NY. Sept. 12-16, 1995. American Forests, Washington, DC.
  7. ↵
    1. Simpson, J.R., and
    2. E.G. McPherson
    . 1996. Potential of tree shade for reducing residential energy use in California. J. Arboric. 22:10–18.
    OpenUrl
  8. ↵
    1. Smith, D.S., and
    2. PC. Hellmund
    1. Thorne, J.E
    1993. Landscape ecology: A foundation for greenway design, pp 23–42. In Smith, D.S., and PC. Hellmund (Eds.). Ecology of Greenways. 1993. University of Minnesota Press, Minneapolis, MN.
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Using GIS to Assess Urban Tree Canopy Benefits and Surrounding Greenspace Distributions
Mark C. Dwyer, Robert W. Miller
Arboriculture & Urban Forestry (AUF) Mar 1999, 25 (2) 102-107; DOI: 10.48044/jauf.1999.016

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Using GIS to Assess Urban Tree Canopy Benefits and Surrounding Greenspace Distributions
Mark C. Dwyer, Robert W. Miller
Arboriculture & Urban Forestry (AUF) Mar 1999, 25 (2) 102-107; DOI: 10.48044/jauf.1999.016
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Keywords

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  • planning
  • energy savings, urban forest

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