《A rapid urban site index for assessing the quality of street tree planting sites》

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作者
来源
URBAN FORESTRY & URBAN GREENING,Vol.27,P.279-286
语言
英文
关键字
Right tree in the right site; Urban forest planning; Urban tree health; Urban soil; SOIL-MANAGEMENT; EXTRACTION METHOD; GROWTH; SURVIVAL; WATER
作者单位
[Scharenbroch, Bryant C.; Scheberl, Luke; Werner, Les] Univ Wisconsin, Coll Nat Resources, 800 Reserve St, Stevens Point, WI 54481 USA. [Scharenbroch, Bryant C.; Fahey, Robert; Catania, Michelle] Morton Arboretum, 4100 Illinois Route 53, Lisle, IL 60532 USA. [Carter, David] Univ Minnesota, Dept Forest Resources, Green Hall,2005 Upper Buford Circle, St Paul, MN 55108 USA. [Bialecki, Margaret] Univ Minnesota, Dept Geog Environm & Soc, 414 Social Sci 19th Ave S, Minneapolis, MN 55455 USA. [Fahey, Robert] Univ Connecticut, Dept Nat Resources & Environm, 1376 Storrs Rd, Storrs, CT 06269 USA. [Roman, Lara A.] US Forest Serv, Philadelphia Field Stn, 100 N 20th St, Philadelphia, PA 19103 USA. [Bassuk, Nina] Cornell Univ, Urban Hort Inst, Sch Integrat Plant Sci, Hort Sect, 134A Plant Sci, Ithaca, NY 14853 USA. [Harper, Richard W.] Univ Massachusetts, Dept Environm Conservat, 160 Holdsworth Way, Amherst, MA 01003 USA. [Siewert, Alan] Ohio DNR Div Forestry, Reg 3,11800 Buckeye Dr, Newbury, OH 44065 USA. [Miller, Stephanie] Ohio DNR Div Forestry, Reg 4,952-B Lima Ave, Findlay, OH 45840 USA. [Hutyra, Lucy] Boston Univ, Dept Earth & Environm, 685 Commonwealth Ave, Boston, MA 02215 USA. [Raciti, Steve] Hofstra Univ, Dept Biol, 227 Gittleson Hall, Hempstead, NY 11549 USA. Scharenbroch, BC (reprint author), Univ Wisconsin, Coll Nat Resources, 800 Reserve St, Stevens Point, WI 54481 USA. E-Mail: Bryant.Scharenbroch@uwsp.edu; david.r.j.carter@gmail.com; biale009@umn.edu; rfahey@mortonarb.org; Luke.L.Scheberl@uwsp.edu; mcatania@mortonarb.org; lroman@fs.fed.us; nlb2@cornell.edu; rharper@umass.edu; Les.Werner@uwsp.edu; alan.siewert@dnr.state.oh.us; Stephanie.Miller@dnr.state.oh.us; lrhutyra@bu.edu; steve.raciti@gmail.com
摘要
Urban trees experience site-induced stress and this leads to reduced growth and health. A site assessment tool would be useful for urban forest managers to better match species tolerances and site qualities, and to assess the efficacy of soil management actions. Toward this goal, a rapid urban site index (RUSI) model was created and tested for its ability to predict urban tree performance. The RUSI model is field-based assessment tool that scores 15 parameters in approximately five minutes. This research was conducted in eight cities throughout the Midwest and Northeast USA to test the efficacy of the RUSI model. The RUSI model accurately predicted urban tree health and growth metrics (P < 0.0001; R-2 0.18-0.40). While the RUSI model did not accurately predict mean diameter growth, it was significantly correlated with recent diameter growth. Certain parameters in the RUSI model, such as estimated rooting area, soil structure and aggregate stability appeared to be more important than other parameters, such as growing degree days. Minimal improvements in the RUSI model were achieved by adding soil laboratory analyses. Field assessments in the RUSI model were significantly correlated with similar laboratory analyses. Other users may be able to use the RUSI model to assess urban tree planting sites (< 5 min per site and no laboratory analyses fee), but training will be required to accurately utilize the model. Future work on the RUSI model will include developing training modules and testing across a wider geographic area with more urban tree species and urban sites.