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- Table 1.
Tree species selection criteria by ISA Certified Arborist® (No = not a certified arborist; Yes = is a certified arborist).
ISA Certified Arborist®1, 2 U Z r P No Yes Aesthetics 4 3 686 0.74 0.09 0.46 Mature size 5 5 433 −2.54 −0.30 0.01 Existing diversity 4 4 400 −2.70 0.31 < 0.01 Planting budget 4 4 763 1.65 0.19 0.10 Availability 4 4 586 −0.45 0.05 0.65 Genetic diversity 3 3 529 −1.11 −0.13 0.27 Maintenance costs 4 4 764 1.71 0.20 0.09 Citizen preference 3 3 571 −0.62 −0.07 0.53 Resistance to pests and disease 4 4 642 0.23 0.03 0.82 Native species 4 3 837 2.49 0.29 0.01 Soil type 4 4 675 0.61 0.07 0.54 Root space 4.5 4 645 0.26 0.03 0.80 Tree hardiness 4 5 473 −1.90 −0.22 0.06 Water requirements 4 4 556 0.81 −0.09 0.42 Hours of sun 4 3.5 630 0.10 0.01 0.94 Proximity to infrastructure 5 5 692 0.93 0.11 0.35 - Table 2.
Tree species selection on a city scale grouped by ISA Certified Arborist® (No = not a certified arborist; Yes = is a certified arborist).
ISA Certified Arborist®1 U Z r P No Yes 10-20-302 4 6 197 −4.03 −0.51 < 0.01 Canopy cover3 6 6 426 −1.88 −0.22 0.06 Tree list4 6 6 518 −0.43 −0.05 0.67 Plant same5 4 2 781 2.58 0.31 0.01 Species change6 4 5 384 1.77 −0.22 0.08 Community engagement7 6 6 544 −0.38 −0.05 0.70 Tree inventory8 4 5 430 −0.97 −0.12 0.33 ↵1Cell entries are medians from 1, “strongly disagree” to 7, “strongly agree” (8, “no opinion” coded as missing).
↵2“I strive to plant no more than 10% of a species, 20% of a genus, or 30% of a family” (n = 62; no = 38; yes = 24).
↵3“Increasing canopy cover in the city I live in is important” (n = 71; no = 46; yes = 25).
↵4‘“My city’s street tree list strongly influences what I plant” (n = 70; no = 46; yes = 24).
↵5“My city generally plants the same 3 to 5 tree species year to year” (n = 70; no = 44; yes = 26).
↵6“The tree species my city plants have changed a lot over the course of my career” (n = 67; no = 43; yes = 24).
↵7“Community engagement is a critical component of my department’s success” (n = 71; no = 46; yes = 25).
↵8“I use the tree inventory to influence the trees I select” (n = 65; no = 40; yes = 25).
- Table 3.
Respondents were asked, “Which of the following best describes your professional and/or educational background?”
Background Frequency Percent Urban forestry 9 12.2 Landscape architect 2 2.7 Forestry 3 4.1 Horticulture 4 5.4 Arboriculture 4 5.4 Community development department 1 1.4 City planner 9 12.2 PW director 2 2.7 PW tech 5 6.8 Parks tech 2 2.7 Parks director 8 10.8 City manager 8 10.8 Other 17 23.0 Municipality size1, 2 Total X2 value P-value Cramer’s V effect size Small (≤ 50,000) Large (> 50,000) No3 32 0 27 13.65 < 0.01 0.385 In progress3 16 42 20 Yes, not regularly3 27 8 24 Yes, regularly3 24 50 28 ↵1Cell entries are percentages (%) of small or large municipalities that reported their inventory status.
↵2(n = 74; small = 62; large = 12)
↵3No = no inventory; in progress = inventory in progress; yes, not regularly = an inventory exists, but is not updated regularly; yes, regularly = an inventory exists and is updated regularly.
Municipality size1, 2 U Z r P Small (≤ 50,000) Large (> 50,000) Aesthetics 4 3.5 380 −0.16 −0.02 0.88 Mature size 5 5 420 0.49 0.06 0.62 Existing diversity 4 5 574 2.74 0.31 < 0.01 Planting budget 4 4 358 −0.47 −0.05 0.64 Availability 4 5 570 2.67 0.30 < 0.01 Genetic diversity 3 3.5 457 0.97 0.11 0.33 Maintenance costs 4 4 415 0.38 0.04 0.70 Citizen preference 3 3 385 0.07 −0.01 0.94 Resistance to pests and disease 4 4.5 423 0.52 0.06 0.61 Native species 4 2.5 260 −1.90 −0.22 0.06 Soil type 4 4 369 0.31 −0.04 0.76 Root space 5 4 370 −0.31 −0.03 0.76 Tree hardiness 4 5 449 0.92 0.11 0.36 Water requirements 4 5 471 1.22 0.14 0.22 Hours of sun 4 4 500 1.63 0.19 0.10 Proximity to infrastructure 5 4.5 336 −0.91 −0.10 0.36 Municipality size1 U Z r P Small (≤ 50,000) Large (> 50,000) 10-20-302 4 6 469 4.09 0.53 < 0.01 Canopy cover3 6 7 478 2.44 0.29 0.02 Tree list4 6 6 346 0.35 0.04 0.73 Plant same5 3 2 242 −1.43 −0.17 0.15 Species change6 4.5 6 494 2.92 0.35 < 0.01 Community engagement7 6 6 395 1.06 0.13 0.29 Tree inventory8 4.5 6 421 2.20 0.27 0.03 ↵1Cell entries are medians from 1 “strongly disagree” to 7 “strongly agree” (8 “no opinion” coded as missing).
↵2 “I strive to plant no more than 10% of a species, 20% of a genus, or 30% of a family” (n = 60; small = 49; large = 11).
↵3 “Increasing canopy cover in the city I live in is important ” (n = 71; small = 60; large = 11).
↵4 “My city’s street tree list strongly influences what I plant” (n = 70; small = 59; large = 11).
↵5 “My city generally plants the same 3–5 tree species year to year ” (n = 71; small = 60; large = 11).
↵6 “The tree species my city plants have changed a lot over the course of my career” (n = 69; small = 58; large = 11).
↵7 “Community engagement is a critical component of my department’s success” (n = 71; small = 60; large = 11).
↵8 “I use the tree inventory to influence the trees I select” (n = 65; small = 54; large = 11).
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