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+ | [[File:Pdf image.png|100px|thumb|alt=pdf image|<font size=3>[https://stormwater.pca.state.mn.us/index.php?title=File:Overview_for_trees_-_Minnesota_Stormwater_Manual_June_2022.pdf Download pdf]</font size>]] | ||
[[File:General information page image.png|right|100px|alt=image]] | [[File:General information page image.png|right|100px|alt=image]] | ||
[[File:Central corridor final.jpg|thumb|300px|altphoto of Central corridor trees|<font size=3>Photo showing trees BMPs along the Central Corridor, St. Paul, MN, using Cornell University structural soil. Photo courtesy of [http://www.capitolregionwd.org/ Capital Region Watershed District].</font size>]] | [[File:Central corridor final.jpg|thumb|300px|altphoto of Central corridor trees|<font size=3>Photo showing trees BMPs along the Central Corridor, St. Paul, MN, using Cornell University structural soil. Photo courtesy of [http://www.capitolregionwd.org/ Capital Region Watershed District].</font size>]] | ||
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For more information on urban forestry, we suggest visiting the following websites. | For more information on urban forestry, we suggest visiting the following websites. | ||
− | *[ | + | *[https://www.fs.usda.gov/managing-land/urban-forests/ucf Urban and Community Forestry] - USDA Forest Service |
*[http://www.mayorsfundphila.org/initiatives/urban-forest/ Urban Forestry & Ecosystem Management] - City of Philadelphia | *[http://www.mayorsfundphila.org/initiatives/urban-forest/ Urban Forestry & Ecosystem Management] - City of Philadelphia | ||
*[https://allaboutwatersheds.org/library/watershed-forestry-resource-guide Watershed Forestry Resource Guide] - Center for Watershed Protection and US Forest Service - Northeastern Area State & Private Forestry | *[https://allaboutwatersheds.org/library/watershed-forestry-resource-guide Watershed Forestry Resource Guide] - Center for Watershed Protection and US Forest Service - Northeastern Area State & Private Forestry | ||
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==Special receiving waters suitability== | ==Special receiving waters suitability== | ||
− | The following table provides guidance regarding the use of tree BMPs in areas upstream of <span title="Waters with qualities that warrant extra protection"> [https://stormwater.pca.state.mn.us/index.php?title=Special_Waters_and_Impaired_Waters '''special receiving waters''']</span>. | + | The following table provides guidance regarding the use of tree BMPs in areas upstream of <span title="Waters with qualities that warrant extra protection"> [https://stormwater.pca.state.mn.us/index.php?title=Construction_stormwater_program#Special_Waters_and_Impaired_Waters '''special receiving waters''']</span>. |
{{:Infiltration and filtration bmp design restrictions for special waters and watersheds}} | {{:Infiltration and filtration bmp design restrictions for special waters and watersheds}} | ||
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*Heisler, G.M. 1986. ''Energy Savings With Trees''. Journal of Arboriculture. 12. | *Heisler, G.M. 1986. ''Energy Savings With Trees''. Journal of Arboriculture. 12. | ||
*Heisler, Gordon M. 1990. ''Tree plantings that save energy''. In: Rodbell, Philip D., ed. Proceedings of the Fourth Urban Forestry Conference; 1989 October 15-19; St. Louis, MO.Washington, DC: American Forestry Association. | *Heisler, Gordon M. 1990. ''Tree plantings that save energy''. In: Rodbell, Philip D., ed. Proceedings of the Fourth Urban Forestry Conference; 1989 October 15-19; St. Louis, MO.Washington, DC: American Forestry Association. | ||
− | *Henderson, C.F.K. 2008. [https:// | + | *Henderson, C.F.K. 2008. [https://research-repository.griffith.edu.au/bitstream/handle/10072/366977/02Whole.pdf?sequence=1 The Chemical and Biological Mechanisms of Nutrient Removal from Stormwater in Bioretention Systems]. Thesis. Griffith School of Engineering, Griffith University. |
*Hong, E., E.A. Seagren, A.P. Davis. 2006. ''Sustainable Oil and Grease Removal from Synthetic Stormwater Runoff Using Bench-Scale Bioretention Studies''. Water Environ. Res. 78 (2), 141-155. | *Hong, E., E.A. Seagren, A.P. Davis. 2006. ''Sustainable Oil and Grease Removal from Synthetic Stormwater Runoff Using Bench-Scale Bioretention Studies''. Water Environ. Res. 78 (2), 141-155. | ||
− | *Kaplan, R., and Kaplan, S. 1989. [https:// | + | *Kaplan, R., and Kaplan, S. 1989. [https://www.hse.ru/data/2019/03/04/1196348207/%5BRachel_Kaplan,_Stephen_Kaplan%5D_The_Experience_of_(b-ok.xyz).pdf The Experience of Nature: A Psychological Perspective]. Cambridge, MA: Cambridge University Press. |
*Kuo, F., and Sullivan, W. 2001. ''Environment and Crime in the Inner City: Does Vegetation Reduce Crime?'' Environment and Behavior 33(3). | *Kuo, F., and Sullivan, W. 2001. ''Environment and Crime in the Inner City: Does Vegetation Reduce Crime?'' Environment and Behavior 33(3). | ||
*Lenth, John and Rebecca Dugopolski (Herrera Environmental Consultants), Marcus Quigley, Aaron Poresky, and Marc Leisenring (Geosyntec Consultants). 2010. ''Filterra® Bioretention Systems: Technical Basis for High Flow Rate Treatment and Evaluation of Stormwater Quality Performance''. Prepared for Americast, Inc. | *Lenth, John and Rebecca Dugopolski (Herrera Environmental Consultants), Marcus Quigley, Aaron Poresky, and Marc Leisenring (Geosyntec Consultants). 2010. ''Filterra® Bioretention Systems: Technical Basis for High Flow Rate Treatment and Evaluation of Stormwater Quality Performance''. Prepared for Americast, Inc. | ||
*Lindsey, P., and N. Bassuk. 1991. [http://www.hort.cornell.edu/uhi/research/articles/JArb17%286%29.pdf Specifying Soil Volumes to Meet the Water Needs of Mature Urban Street Trees and Trees in Containers]. Journal of Arboriculture 17(6): 141-149. | *Lindsey, P., and N. Bassuk. 1991. [http://www.hort.cornell.edu/uhi/research/articles/JArb17%286%29.pdf Specifying Soil Volumes to Meet the Water Needs of Mature Urban Street Trees and Trees in Containers]. Journal of Arboriculture 17(6): 141-149. | ||
− | *Luley, Christopher J., and David J. Nowak. 2004. | + | *Luley, Christopher J., and David J. Nowak. 2004. ''Help Clear the Smog with Your Urban Forest: What You and Your Urban Forest Can Do About Ozone''. Brochure. Davey Research Group and USDA Forest Service, Northeastern Research Station. |
− | *McPherson, E.G. 2001. [ | + | *McPherson, E.G. 2001. [https://www.fs.usda.gov/treesearch/pubs/48725 Sacramento's Parking Lot Shading Ordinance: Environmental and Economic Costs of Compliance]. Landscape and Urban Planning 57:105-123. |
*McPherson, E.G., and Simpson, J.R. 2003. ''Potential Energy Savings in Buildings by an Urban Tree Planting Program in California''. Urban Forestry and Urban Greening 2(2003):73-86. | *McPherson, E.G., and Simpson, J.R. 2003. ''Potential Energy Savings in Buildings by an Urban Tree Planting Program in California''. Urban Forestry and Urban Greening 2(2003):73-86. | ||
*McPherson, E. G., and J. Muchnick. 2005. ''Effects of Street Tree Shade on Asphalt Concrete Pavement Performance''. Journal of Arboriculture 31:6:303-309. | *McPherson, E. G., and J. Muchnick. 2005. ''Effects of Street Tree Shade on Asphalt Concrete Pavement Performance''. Journal of Arboriculture 31:6:303-309. | ||
*Neely, D., ed. 1988. ''Valuation of Landscape Trees, Shrubs, and Other Plants''. 7th ed. Council of Tree and Landscape Appraisers. International Society of Arboriculture. | *Neely, D., ed. 1988. ''Valuation of Landscape Trees, Shrubs, and Other Plants''. 7th ed. Council of Tree and Landscape Appraisers. International Society of Arboriculture. | ||
*Nowak, D., Crane, D., and Stevens, J. 2003. Draft Plan. ''Philadelphia’s Urban Forest, Urban Forest Effects Model (UFORE) Analysis''. Newtown Square, PA: USDA Forest Service, Northeastern Research Station. | *Nowak, D., Crane, D., and Stevens, J. 2003. Draft Plan. ''Philadelphia’s Urban Forest, Urban Forest Effects Model (UFORE) Analysis''. Newtown Square, PA: USDA Forest Service, Northeastern Research Station. | ||
− | *Nowak, David J., Stein, Susan M., Randler, Paula B., Greenfield, Eric J., Comas, Sara J., Carr, Mary A., and Alig, Ralph J. 2010. [ | + | *Nowak, David J., Stein, Susan M., Randler, Paula B., Greenfield, Eric J., Comas, Sara J., Carr, Mary A., and Alig, Ralph J. 2010. [https://www.fs.usda.gov/research/treesearch/35572 Sustaining America’s urban trees and forests: a Forests on the Edge report]. Gen. Tech. Rep. NRS-62. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 27 p. |
− | *Parsons, R., Tassinary, L.G., Ulrich, R.S., Hebl, M.R., and Grossman-Alexander, M. 1998. | + | *Parsons, R., Tassinary, L.G., Ulrich, R.S., Hebl, M.R., and Grossman-Alexander, M. 1998. ''The View From the Road: Implications for Stress Recovery and Immunization''. Journal of Environmental Psychology 18(2):113-139. |
− | *Scott, Klaus I., Simpson, James R., and McPherson, E. Gregory. 1999. [ | + | *Scott, Klaus I., Simpson, James R., and McPherson, E. Gregory. 1999. [https://www.fs.usda.gov/treesearch/pubs/60567 Effects of Tree Cover on Parking Lot Microclimate and Vehicle Emissions]. Journal of Arboriculture 25(3). |
− | *Simpson, J.R., and McPherson, E.G. 1996. [ | + | *Simpson, J.R., and McPherson, E.G. 1996. [https://www.fs.usda.gov/treesearch/pubs/61736 Potential of Tree Shade for Reducing Residential Energy use in California]. Journal of Arboriculture'' 22(1):10-18.. |
*Tallamy, Douglas W., and Rick Darke. 2007. ''Bringing Nature Home: How You Can Sustain Wildlife with Native Plants''. Timber Press. | *Tallamy, Douglas W., and Rick Darke. 2007. ''Bringing Nature Home: How You Can Sustain Wildlife with Native Plants''. Timber Press. | ||
*Taylor, A.F.; Kuo, F., and Sullivan,W. 2001. [http://www.attitudematters.org/documents/Coping%20with%20ADD%20-%20Green%20Play%20Settings.pdf Coping with ADD: The Surprising Connection to Green Play Settings]. Environment and Behavior 33(1):54-77. | *Taylor, A.F.; Kuo, F., and Sullivan,W. 2001. [http://www.attitudematters.org/documents/Coping%20with%20ADD%20-%20Green%20Play%20Settings.pdf Coping with ADD: The Surprising Connection to Green Play Settings]. Environment and Behavior 33(1):54-77. | ||
− | *Taylor, Andrea Faber, Kuo, Frances E., and Sullivan, William C. 2002. [ | + | *Taylor, Andrea Faber, Kuo, Frances E., and Sullivan, William C. 2002. [https://www.researchgate.net/publication/222546487_Views_of_Nature_and_Self-Discipline_Evidence_from_Inner_City_Children Views of Nature and Self-Discipline: Evidence from Inner City Children]. Journal of Environmental Psychology 22(1-2):1-15. |
*The National Arbor Day Foundation. 2004. [http://www.arborday.org/trees/Benefits.cfm The value of trees to a community]. | *The National Arbor Day Foundation. 2004. [http://www.arborday.org/trees/Benefits.cfm The value of trees to a community]. | ||
− | *Toronto and Region Conservation. 2009. [ | + | *Toronto and Region Conservation. 2009. [https://sustainabletechnologies.ca/home/urban-runoff-green-infrastructure/low-impact-development/review-of-the-science-and-practice-of-stormwater-infiltration-in-cold-climates/ Review of the Science and Practice of Stormwater Infiltration in Cold Climates]. 2009. |
− | *Ulrich, R. 1984. | + | *Ulrich, R. 1984. ''View through Window May Influence Recovery from Surgery''. Science 224:420-422. |
*Ulrich, R.S. 1985. ''Human Responses to Vegetation and Landscapes''. Landscape and Urban Planning 13:29-44. | *Ulrich, R.S. 1985. ''Human Responses to Vegetation and Landscapes''. Landscape and Urban Planning 13:29-44. | ||
− | *USDA Forest Service. | + | *USDA Forest Service. The Value of Trees. Urban and Community Forestry Appreciation Tool Kit NA-IN-02-04. |
− | *Wolf, K.L. 2010. | + | *Wolf, K.L. 2010. Safe Streets - A Literature Review. In: Green Cities: Good Health. College of the Environment, University of Washington. |
*Wolf, Kathy L. 2000. [http://www.urbanforestrysouth.org/resources/library/ttresources/the-calming-effect-of-green-roadside-landscape-and-driver-stress The Calming Effect of Green: Roadside Landscape and Driver Stress]. Factsheet #8. Seattle: University of Washington, Center for Urban Horticulture. | *Wolf, Kathy L. 2000. [http://www.urbanforestrysouth.org/resources/library/ttresources/the-calming-effect-of-green-roadside-landscape-and-driver-stress The Calming Effect of Green: Roadside Landscape and Driver Stress]. Factsheet #8. Seattle: University of Washington, Center for Urban Horticulture. | ||
*Wolf, K. L. 1999. [http://www.naturewithin.info/CityBiz/1999AmFor.pdf Nature and Commerce: Human Ecology in Business Districts]. In: Kollins, C., ed. Building Cities of Green: Proceedings of the 9th National Urban Forest Conference.Washington, DC: American Forests. | *Wolf, K. L. 1999. [http://www.naturewithin.info/CityBiz/1999AmFor.pdf Nature and Commerce: Human Ecology in Business Districts]. In: Kollins, C., ed. Building Cities of Green: Proceedings of the 9th National Urban Forest Conference.Washington, DC: American Forests. | ||
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*[[Requirements, recommendations and information for using trees with an underdrain as a BMP in the MIDS calculator]] | *[[Requirements, recommendations and information for using trees with an underdrain as a BMP in the MIDS calculator]] | ||
− | [[Category:BMP overview | + | [[Category:Level 3 - Best management practices/Guidance and information/BMP overview]] |
− | |||
</noinclude> | </noinclude> |
Practices incorporating trees into the design are often a specific type of bioretention practice. This page provides an overview of tree-based practices. Also see Overview for bioretention.
Use of trees to manage stormwater runoff encompasses several practices. Tree trenches and tree boxes (collectively called tree best management practice (BMPs)), the most commonly implemented tree BMPs, can be incorporated anywhere in the treatment train but are most often located in upland areas of the treatment train. The strategic distribution of tree BMPs help control runoff close to the source where it is generated. Tree BMPs can mimic certain physical, chemical, and biological processes that occur in the natural environment. Depending upon the design of a facility, different processes can be maximized or minimized depending on the type of pollutant loading expected (Prince George’s County, 2002). As with any filtration and infiltration BMPs, pretreatment is recommended to prevent clogging of the media, particularly when permeable pavement is used in conjunction with the tree BMP.
Tree BMPs are one component of urban forestry. Urban forestry is a broad term that applies to all publicly and privately owned trees within an urban area, including individual trees along streets and in backyards, as well as stands of remnant forest (Nowak et al., 2001). Urban forests are an integral part of community ecosystems, whose numerous elements (such as people, animals, buildings, infrastructure, water, and air) interact to significantly affect the quality of urban life. (Nowak et al., 2010 Sustaining America’s Urban Trees and Forests). Trees are already part of virtually all development and can be integrated anywhere in the treatment train, even into the densest urban areas. Many cities already have tree requirement ordinances. However, the potential of these trees to provide significant stormwater benefits is largely untapped to date.
For more information on urban forestry, we suggest visiting the following websites.
One of the goals of this Manual is to facilitate understanding of and compliance with the MPCA Construction General Permit (CGP), which includes design and performance standards for permanent stormwater management systems. Standards for various categories of stormwater management practices must be applied in all projects in which at least one acre of new impervious area is being created.
For regulatory purposes, tree BMPs with no underdrain are infiltration systems as described in the CGP. Tree BMPs with an underdrain are filtration systems as defined in the permit. If used in combination with other practices, credit for combined stormwater treatment can be given. Due to the statewide prevalence of the MPCA permit, design guidance in this section is presented with the assumption that the permit does apply. Also, although it is expected that in many cases tree BMPs will be used in combination with other practices, standards are described for the case in which it is a stand-alone practice.
There are situations, particularly retrofit projects, in which a tree BMP is constructed without being subject to the conditions of the MPCA permit. While compliance with the permit is not required in these cases, the standards it establishes can provide valuable design guidance to the user. It is also important to note that additional and potentially more stringent design requirements may apply for a particular tree BMP, depending on where it is situated both jurisdictionally and within the surrounding landscape.
Tree BMPs are an ideal and potentially important BMP in urban retrofit situations where existing stormwater treatment is absent or limited. Tree BMPs can be utilized in highly urban and ultra-urban environments.
The following table provides guidance regarding the use of tree BMPs in areas upstream of special receiving waters.
Infiltration and filtration bmp1 design restrictions for special waters and watersheds. See also Sensitive waters and other receiving waters.
Link to this table
BMP Group | receiving water | ||||
---|---|---|---|---|---|
A Lakes | B Trout Waters | C Drinking Water2 | D Wetlands | E Impaired Waters | |
Infiltration | RECOMMENDED | RECOMMENDED | NOT RECOMMENDED if potential stormwater pollution sources evident | RECOMMENDED | RECOMMENDED unless target TMDL pollutant is a soluble nutrient or chloride |
Filtration | Some variations NOT RECOMMENDED due to poor phosphorus removal, combined with other treatments | RECOMMENDED | RECOMMENDED | ACCEPTABLE | RECOMMENDED for non-nutrient impairments |
1Filtration practices include green roofs, bmps with an underdrain, or other practices that do not infiltrate water and rely primarily on filtration for treatment.
2 Applies to groundwater drinking water source areas only; use the lakes category to define BMP design restrictions for surface water drinking supplies
Trees with underdrains are not typically suitable for providing water quantity control. In limited cases, a tree filtration practice may provide some (albeit limited) storage volume. Tree BMPs can help reduce detention requirements for a site by providing elongated flow paths, longer times of concentration, and volumetric losses from infiltration and evapotranspiration. Experience and modeling analysis have shown that tree BMPs can be used to reduce runoff and maintain the pre-existing time of concentration. This effort can be incorporated into the site hydrologic analysis. Generally, however, it is Highly Recommended that in order to meet site water quantity or peak discharge criteria, another structural control (e.g. detention) be used in conjunction with tree BMPs.
Depending on sizing and design, tree infiltration practices can retain significant volumes of water.
Tree BMPs that utilize engineered media provide water quality benefits through the same mechanisms as standard bioretention systems. The soil, trees, and microbes in a bioretention system with trees work together as a system to improve water quality of stormwater that falls on the tree and/or is filtered through the soil volume. Some pollutants are adsorbed or filtered by soil, others are taken up or transformed by plants or microbes, and still others are first held by soil and then taken up by vegetation or degraded by bacteria, “recharging” the soil’s sorption capacity in between rain events.
Summary of bioretention water quality cleansing mechanisms for common stormwater pollutants.
Link to this table
Pollutant | Bioretention cleansing mechanism |
---|---|
Total suspended solids | Sedimentation and filtration (e.g. Davis et al., 2009) |
Metals | Filtration of particulate metals, sorption of dissolved metals into mulch layer (e.g. Davis et al, 2009), plant uptake (e.g. Toronto and Region Conservation, 2009) |
Nitrogen | Sorption; uptake by microbes and plant material, uptake into recalcitrant soil organic matter (e.g. Henderson, 2008) |
Phosphorus | Sorption, precipitation, plant uptake, uptake into recalcitrant soil organic matter (e.g. Henderson, 2008) |
Pathogens | Filtration, UV light, competition for limited nutrients, predation by protozoa and bacterial predators (e.g. Zhang et al., 2010) |
Hydrocarbons | Filtration and sorption to organic matter and humic acids, then degraded by soil microbes (e.g. Hong et al., 2006) |
Several recent literature reviews of lab and field studies concluded that tree BMPs have the potential to be one of the most effective BMPs for pollutant removal. High load reductions are consistently found for suspended solids, metals, polycyclic aromatic hydrocarbons (PAHs), and other organic compounds. Nutrient (dissolved nitrogen and phosphorus) removal has been more variable. Healthy vegetation has been found to be especially crucial for removal of dissolved nitrogen and phosphorus, hence the importance of large trees. Several studies that have compared vegetated media to unvegetated media have found that the presence of vegetation substantially improves total phosphorus (TP) and total nitrogen (TN) retention, as vegetated media is much more effective than unvegetated media at removing phosphate (PO4) from solution and preventing nitrate (NO3) leaching from media (e.g. Henderson, 2008, Lucas and Greenway, 2007a, 2007b, 2008, May et al., 2006). Not only has vegetation been shown to significantly improve nutrient removal, trees also benefit from the nutrients in stormwater (May et al., 2006), with greater growth in height and greater root density compared with those irrigated with tap water, turning stormwater nutrients into an asset.
For a summary of these literature reviews see File:Trees Tasks 2 and 13 Water quality benefits.docx.
Information on pollutant removal is provided in the following table.
Median pollutant removal percentages for several stormwater BMPs. Sources. More detailed information and ranges of values can be found in other locations in this manual, as indicated in the table. NSD - not sufficient data. NOTE: Some filtration bmps, such as biofiltration, provide some infiltration. The values for filtration practices in this table are for filtered water.
Link to this table
Practice | TSS | TP | PP | DP | TN | Metals1 | Bacteria | Hydrocarbons |
---|---|---|---|---|---|---|---|---|
Infiltration2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
Biofiltration and Tree trench/tree box with underdrain | 80 | link to table | link to table | link to table | 50 | 35 | 95 | 80 |
Sand filter | 85 | 50 | 85 | 0 | 35 | 80 | 50 | 80 |
Iron enhanced sand filter | 85 | 65 or 746 | 85 | 40 or 606 | 35 | 80 | 50 | 80 |
Dry swale (no check dams) | 68 | link to table | link to table | link to table | 35 | 80 | 0 | 80 |
Wet swale (no check dams) | 35 | 0 | 0 | 0 | 15 | 35 | 35 | NSD |
Constructed wet ponds4, 5 | 84 | 50 or 685 | 84 | 8 or 485 | 30 | 60 | 70 | 80 |
Constructed wetlands | 73 | 38 | 69 | 0 | 30 | 60 | 70 | 80 |
Permeable pavement (with underdrain) | 74 | 41 | 74 | 0 | NSD | NSD | NSD | NSD |
Green roofs | 85 | 0 | 0 | 0 | NSD | NSD | NSD | NSD |
Vegetated (grass) filter | 68 | 0 | 0 | 0 | NSD | NSD | NSD | NSD |
Harvest and reuse | Removal is 100% for captured water that is infiltrated. For water captured and routed to another practice, use the removal values for that practice. |
TSS=Total suspended solids, TP=Total phosphorus, PP=Particulate phosphorus, DP=Dissolved phosphorus, TN=Total nitrogen
1Data for metals is based on the average of data for zinc and copper
2BMPs designed to infiltrate stormwater runoff, such as infiltration basin/trench, bioinfiltration, permeable pavement with no underdrain, tree trenches with no underdrain, and BMPs with raised underdrains.
3Pollutant removal is 100 percent for the volume infiltrated, 0 for water bypassing the BMP. For filtered water, see values for other BMPs in the table.
4Dry ponds do not receive credit for volume or pollutant removal
5Removal is for Design Level 2. If an iron-enhanced pond bench is included, an additional 40 percent credit is given for dissolved phosphorus. Use the lower values if no iron bench exists and the higher value if an iron bench exists.
6Lower values are for Tier 1 design. Higher values are for Tier 2 design.
In addition to stormwater management, trees provide a host of other benefits including other environmental benefits, energy savings, social and health benefits, wildlife benefits, and economic benefits. For more detailed information on these, see File:Trees Task 2 Overview.docx
Environmental benefits include
Strategically placed trees can reduce building and heating energy use. Examples include the following.
Trees have a wide range of social benefits, including
Monetary benefits as ecosystem services significantly outweighs the cost of utilizing trees in an urban setting. McPherson et al. (2005) observed Minneapolis’s municipal tree resource provides approximately 79 dollars per tree in total net annual benefits to the community. Examples of other economic benefits include the following.
Trees also benefit wildlife. For example Talamy and Darke (2007) observed that the Oaks genus supports 534 species of Lepidoptera (a large order of insects that includes moths and butterflies) as well as many bird species.
The following table summarizes some additional benefits for select tree species.
Non-stormwater benefits of several trees that can be used in tree trenches/tree boxes. NOTE: this list is not exhaustive and could include dozens of additional species.
Link to this table
Scientific name1,2,3 | Common name 1,2,3 | Additional benefit (F=human food, W=wildlife habitat/browse, L=lumber)3 | |
---|---|---|---|
Acer saccharinum 1,2 | Silver maple | FWL | |
Amelanchier spp. 2 | Juneberry/serviceberry | FW | |
Betula populifolia 2 | Gray birch | W | |
Carya ovata 2 | Shagbark hickory | FWL | |
Catalpa speciosa 2 | Northern catalpa | WL | |
Celtis occidentalis 2 | Common hackberry | W | |
Cercis canadensis 2 | Eastern redbud | W | |
Cladrastis kentukea 2 | Yellowood, Kentucky yellowood | L | |
Crataegus crus-galli var. inermis 2 | Thornless cockspur hawthorn | W | |
Fraxinus americana 2 | White ash | WL | |
Fraxinus mandschurica | Manchurian ash | WL | |
Fraxinus nigra 1 | Black ash | WL | |
Fraxinus pennsylvanica 1,2 | Green ash | WL | |
Gleditsia tricanthos var. inermis 2 | Thornless common honeylocust | WL | |
Gymnocladus dioicus 2 | Kentucky coffeetree | WL | |
Larix decidua 3 | European larch | L | |
Larix laricina 1 | Tamarack | L | |
Malus spp. 2 | Crabapple spp. | FW | |
Ostrya virginiana 2 | American hophornbeam, ironwood | W | |
Populus grandidentata Michx. | Bigtooth aspen | WL | |
Populus deltoides 1,2 | Eastern cottonwood | L | |
Populus tremuloides 1,1 | Quaking aspen | L | |
Prunus virginiana 2 | Chokecherry | FW | |
Quercus bicolor 2 | Swamp white oak | WL | |
Quercus macrocarpa 2 | Bur oak | WL | |
Quercus rubra 2 | Red oak | WL | |
Robinia pseudoacacia 2 | Black locust, false acacia, robinia | L | |
Salix babylonica | Weeping or Babylon willow | L | |
Taxodium distichum 2 | Common baldcypress | L | |
Tilia americana 2 | Basswood | WL |
1 Shaw, D. and R. Schmidt. 2003. Plants for Stormwater Design: Species Selection for the Upper Midwest. Minnesota Pollution Control Agency (MPCA)
2 Bassuk, N. et al. 2009. Recommended Urban Trees: Site Assessment and Tree Selection for Stress Tolerance. Urban Horticulture Institute, Dept of Horticulture, Cornell University, Ithaca, NY
3 USDA NRCS Plants Database.
Potential constraints on the use of urban trees for stormwater management include:
While engineers often worry that tree roots will affect underdrains, inspections of underdrains in hundreds of bioretention practices by North Carolina State Engineers did not find roots clogging underdrains (Winston, 2013).
Tree performance can be adversely affected by a variety of factors, including
According to Coder (2007), by far the most important factor to grow healthy trees is to provide an adequate volume of rootable soil (i.e. not compacted to a level that affects root growth). The top three factors causing the greatest growth limitations for tree growth are soil water availability, soil aeration, and soil drainage. Each of these can be related to site compaction.
Research has shown that trees need 2 cubic feet of rootable soil volume per square foot of tree canopy to thrive (e.g. Lindsey and Bassuk, 1991). Most urban trees, confined to a 4 foot by 4 foot (i.e. 64 cubic feet if assumed to be 4 feet deep) tree pit hole, have less than 1/10th the rooting volume they need to thrive. To provide 2 cubic feet of rootable soil to allow a tree with a 30 foot canopy to thrive would require 1413 cubic feet of rootable soil. Not surprisingly, studies have found that trees surrounded by pavement in urban downtown centers only live for an average of 13 years (Skiera and Moll, 1992), a very small fraction of their much longer lifespan under natural conditions.
This list contains many references not cited on this page. A review of many of these articles can be found in File:Trees Task 2 Overview.docx.
The following pages address incorporation of trees into stormwater management under paved surfaces
This page was last edited on 27 December 2022, at 19:52.