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Research ArticleArticles

Preserving Trees in Construction Projects: Identifying Incentives and Barriers

David Despot and Henry Gerhold
Arboriculture & Urban Forestry (AUF) September 2003, 29 (5) 267-280; DOI: https://doi.org/10.48044/jauf.2003.031
David Despot
1Project Assistant, Horticulture Department, Penn State University, University Park, PA 16802, U.S.
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Henry Gerhold
2Professor of Forest Genetics, School of Forest Resources, Penn State University, University Park, PA 16802, U.S.
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    Figure 1.

    Comparison of knowledge (combined scale scores as percentage of maximum score) with use of tree preservation practices (total scale score as percentage of maximum score), by group and survey.

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    Figure 2.

    Bivariate relationships between total use and total knowledge scales for arborists, builders, and designers.

Tables

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    Table 1

    Mean scores for Use Factor 1 (use of tree preservation practices that provide enough space for trees to grow), Use Factor 2 (use of construction techniques for preserving trees), and Use Factor 3 (communication of the tree preservation message to workers). A score of 5 represented the highest level of use, and a score of 1 represented the lowest for each statement.

    GroupUse factor 1z
    mean score
    Use factor 2y
    mean score
    Use factor 3x
    mean score
    PANADFPANADFPANADF
    Arborist16.0015.8913.7814.167.82*8.59*
    Builder18.2618.3913.9214.676.10*8.80*
    Designer17.5818.1212.38*14.35*6.78*7.98*
    Total17.0217.0713.23*14.30*7.12*8.39*
    • ↵zMaximum score = 25.

    • ↵yMaximum score = 30.

    • ↵xMaximum score = 15.

    • ↵* Indicates significance at the .05 level of difference between Pennsylvania (PA) and NADF surveys.

    • View popup
    Table 2

    Knowledge versus use of tree preservation practices by arborists, builders, and designers. Percentage who answered “very helpful” or “helpful” for knowledge statements, “strongly agree” or “agree” for self-knowledge statements, and “always” or “frequently” for use statements.

    CodeStatementArboristBuilderDesigner
    Knowledge %Use %Knowledge %Use %Knowledge %Use %
    KUConduct tree inventoryz99.637.081.361.397.753.2
    KUErect protective fencingz100.043.278.528.897.351.4
    KUStore soil out of root zonezy96.940.382.359.595.964.8
    KUGeotextile + wood chipszy90.419.755.70.169.111.2
    KUEnforce tree protection zonezy96.531.957.927.588.329.6
    KAvoid traffic on wet soilz94.160.082.3
    KAvoid bulldozer takedownsz86.332.067.3
    KPreserve topsoil in root zonez96.968.095.4
    KPreserve leaf litterz93.040.873.3
    KPave to minimize compaction83.884.686.9
    SKKnowledge of soilsz96.258.278.0
    SKKnowledge of preservationz93.134.265.8
    SKKnowledge of tree biologyz97.748.166.2
    UAvoid trenches in root zoney53.363.858.5
    UCluster utility trenches32.561.548.6
    UDesign space for treesy31.361.353.2
    UAvoid cuts/fills in root zoney35.457.563.9
    URestrict traffic on the sitey47.556.358.6
    UCement washout sitey24.046.831.8
    UOff-site parking30.632.931.0
    UEquipment with tracksy15.430.70.1
    UInform workersy27.226.820.4
    URetaining wally19.426.634.1
    UUse boring under treesy12.612.712.1
    UPost construction carey28.212.521.7
    UInstall signs14.411.312.0
    URaised foundationsy0.10.10.1
    Mean percentage93.834.464.135.485.442.0
    • ↵zIndicates statements retained after factor analysis in the final three knowledge factors.

    • ↵yIndicates statements retained after factor analysis in the final three use factors.

    • K indicates a statement used to measure knowledge.

      SK indicates a statement used for a self-evaluation of a respondent’s knowledge.

      U indicates a statement used to measure use.

    • View popup
    Table 3

    Relative utility of selected methods for promoting the use of tree preservation in construction projects (mean scores, 5-point scale) by survey and group.

    MethodSurveyGroupTotal n = 647
    PA
    n = 275
    NADF
    n = 372
    F valueArborist
    n = 268
    Builder
    n = 75
    Designer
    n = 204
    F value
    Education4.664.721.424.75 a4.65 a4.66 a1.494.69
    Technical help4.374.472.404.57 a4.20 b4.38 b7.804.43
    Local ordinances3.71*4.16*20.874.08 a2.89 b4.16 a34.463.97
    Govt. incentives3.783.942.433.94 a3.67 a3.83 a1.503.87
    State laws3.363.491.353.57 a2.49 b3.55 a19.643.44
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 645.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 544.

    • View popup
    Table 4

    The most important reasons for preserving trees, by survey and group (mean scores representing the percentage of projects in which respondents selected a single reason why trees were preserved).

    Reason why trees were preservedSurveyGroupTotal n = 585
    PA
    n = 226
    NADF
    n = 358
    F valueArborist
    n = 246
    Builder
    n = 69
    Designer
    n = 202
    F value
    Professional’s awareness3.823.750.403.63 a4.17 b3.89 ab5.313.76
    Owner awareness3.153.240.583.17 a3.84 b3.02 a11.283.20
    Unusually valuable trees2.592.731.882.56 a2.91 a2.74 a2.652.68
    Laws or ordinances2.21*2.94*32.132.62 a1.91 b2.91 a10.932.66
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 582.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 514.

      A score of 5 indicated that the item was the most important reason for preserving trees in 76% to 100% of projects, 4 indicated most important in 51% to 75% of projects, 3 indicated most important in 26% to 50% of projects, 2 indicated most important in 1% to 25% of projects, and 1 indicated not important in any projects.

    • View popup
    Table 5

    Perceived costs and benefits of preserving trees in construction projects, by survey and group (mean percentages of respondents who indicated that statements represented their perceptions accurately or very accurately).

    StatementSurveyGroupTotal n = 621
    PA
    n = 255
    NADF
    n = 366
    F valueArborist
    n = 252
    Builder
    n = 78
    Designer
    n = 215
    F value
    Customers willing to pay a premium78.04*86.07*6.8486.11 a74.36 a81.40 a3.0582.77
    Primary cost is the extra time needed51.3749.180.2959.13 a50.00 ab40.00 b8.7250.08
    Cost is passed on to property owner78.8274.321.6876.19 a79.49 a75.35 a0.2776.17
    Unnecessarily slows down construction16.08*6.01*17.127.54 a24.36 b9.30 a9.4610.14
    Contributes little to energy conservation5.49*2.19*4.820.10 a10.26 b4.65 b8.233.54
    Wooded lot is not important to buyers5.493.830.973.97 a1.28 a6.51 a1.204.51
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 619.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 542.

    • View popup
    Table 6

    The most important reasons for not preserving trees, by survey and group (mean scores represent the percentage of projects in which respondents selected a single reason why trees were not preserved).

    Reasons why trees were not preservedSurveyGroupTotal n = 553
    PA
    n = 212
    NADF
    n = 340
    F valueArborist
    n = 230
    Builder
    n = 71
    Designer
    n = 190
    F value
    Site constraints3.273.421.453.00 a4.00 b3.64 b20.023.34
    Insufficient knowledge2.362.380.022.90 a1.66 b1.90 b33.562.43
    Costs too much2.50*2.25*4.552.60 a2.20 ab2.09 b8.272.37
    Too much time2.141.943.392.30 a1.66 b1.76 b13.552.03
    Building codes1.67*1.92*6.981.87 a1.72 a1.81 a0.511.85
    Deadlines1.851.820.071.95 a1.51 b1.74 ab4.991.85
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 550.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 488.

      A score of 5 indicated that the item was the most important reason for not preserving trees in 76% to 100% of projects, 4 indicated most important in 51% to 75% of projects, 3 indicated most important in 26% to 50% of projects, 2 indicated most important in 1% to 25% of projects, and 1 indicated not important in any projects.

    • View popup
    Table 7

    Mean scores for Knowledge Factor 1 (self-assessment of knowledge concerning tree biology, soils, and tree preservation practices), Knowledge Factor 2 (knowledge of procedures that might damage trees), and Knowledge Factor 3 (knowledge of practices that can be used to preserve trees). A score of 5 represented the highest level of knowledge, and a score of 1 represented the lowest for each statement.

    GroupKnowledge factor 1z
    mean score
    Knowledge factor 2y
    mean score
    Knowledge factor 3x
    mean score
    PANADFPANADFPANADF
    Arborist13.2813.5822.4722.5618.8618.70
    Builder  9.63*10.91*15.41*18.56*14.53*16.82*
    Designer10.72*11.48*19.92*21.09*17.21*18.10*
    Total11.69*12.28*20.44*21.46*17.59*18.21*
    • ↵zMaximum score = 15.

    • ↵yMaximum score = 25.

    • ↵xMaximum score = 20.

    • ↵*Indicates significance at the .05 level of difference between Pennsylvania (PA) and NADF surveys.

    • View popup
    Table 8

    Comparison of scores on self-assessment of knowledge with scores on knowledge of damaging procedures and knowledge of protective practices (Table 7) for arborists, builders, and designers, adjusted to percentages of the maximum scores of the scales.

    Knowledge factorArborists (%)Builders (%)Designers (%)
    Self-assessment906875
    Damaging procedures906882
    Protective practices947888
    • View popup
    Table 9

    Perceived benefit of having an improved knowledge of selected subjects (mean scores, 5-point scale) by survey and professional group.

    SubjectSurveyGroupTotal n = 624
    PA
    n = 256
    NADF
    n = 367
    F valueArborist
    n = 261
    Builder
    n = 76
    Designer
    n = 212
    F value
    Tree health4.34*4.49*4.544.55 a3.99 b4.44 a13.674.43
    Soil conditions4.324.432.874.50 a3.84 b4.45 a19.314.38
    Tree preservation4.364.400.334.49 a3.97 b4.38 a10.934.38
    Cost of preservation4.204.343.594.41 a3.91 b4.23 ab8.924.28
    Benefits of landscape3.953.930.034.04 a3.55 b3.89 ab5.903.94
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 621.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 546.

    • View popup
    Table 10

    Importance of selected sources for education on the topic of preserving trees in construction projects (mean scores, 5-point scale)) by survey and group.

    Sources of educationSurveyGroupTotal n =576
    PA
    n = 237
    NADF
    n = 337
    F valueArborist
    n = 243
    Builder
    n = 71
    Designer
    n = 194
    F value
    Professional organization4.274.161.514.45 a3.52 c4.19 b25.094.23
    Trade organization3.833.672.153.95 a3.48 b3.55 b7.273.75
    Cooperative Extension3.593.570.033.65 a2.94 b3.67 a11.733.59
    NADF2.89*3.89*10.413.51 a3.49 a3.38 a0.613.51
    In-house training3.32*3.55*3.973.76 a2.82 c3.32 b15.263.46
    • Between surveys, an asterisk indicates means are significantly different at p < .05; d.f. = 1, 572.

      Among groups, means within a row followed by the same letter are not significantly different at p < .05; d.f, 2, 505.

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Arboriculture & Urban Forestry (AUF): 29 (5)
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September 2003
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Preserving Trees in Construction Projects: Identifying Incentives and Barriers
David Despot, Henry Gerhold
Arboriculture & Urban Forestry (AUF) Sep 2003, 29 (5) 267-280; DOI: 10.48044/jauf.2003.031

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Preserving Trees in Construction Projects: Identifying Incentives and Barriers
David Despot, Henry Gerhold
Arboriculture & Urban Forestry (AUF) Sep 2003, 29 (5) 267-280; DOI: 10.48044/jauf.2003.031
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