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Research ArticleArticles

Modelling Four Neighbourhood-Scale Urban Forest Scenarios for 2050: Vancouver, Canada

Agatha Czekajlo, Zhaohua Cheng, Sara Barron, Cynthia Girling and Lorien Nesbitt
Arboriculture & Urban Forestry (AUF) January 2024, 50 (1) 18-56; DOI: https://doi.org/10.48044/jauf.2023.025
Agatha Czekajlo
elementslab, School of Architecture and Landscape Architecture, University of British Columbia, 3131-2260 West Mall, Vancouver, Canada
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Zhaohua Cheng
Collaborative for Advanced Landscape Planning (CALP), Faculty of Forestry, University of British Columbia, Vancouver, Canada
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Sara Barron
Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, Canada
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Cynthia Girling
elementslab, School of Architecture and Landscape Architecture, University of British Columbia, Vancouver, Canada
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Lorien Nesbitt
Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, Canada
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Maps of the real neighbourhood (top left) located in the City of Vancouver (Southeast Vancouver region), British Columbia, Canada (bottom left), and representative “sandbox” model for baseline 2020 built-form condition (top right). The baseline 2020 sandbox model included 7,125 buildings, while building count in the 2050 model decreased by approximately 100 buildings (7,019 buildings total) due to increased dwelling density. Imagery from Planet Team (2017), land use data from Metro Vancouver Regional District (2020), parcel and dwelling unit counts based on BC Assessment (2019) data, and resident counts based on Statistics Canada (2017, 2019) data.

  • Figure 2.
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    Figure 2.

    Semi-automated modelling procedure of tree quantifications, species selections, and locations. “Rules” refers to scripting through R software, except for manual placement (which was conducted in ArcGIS software). “Aged-out” trees refers to trees removed between baseline and future scenarios. “Existing” trees are trees that were not removed since baseline and remain in future scenarios. “Replacement” trees are new trees provided to future scenarios in place of aged-out trees. “Additional” trees are new trees that are provided to the future models to achieve scenario and location-based tree counts.

  • Figure 3.
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    Figure 3.

    Count and percentage of trees per location (private, park/civic, street) and size (S – small, M – medium, L – large) for baseline 2020 (B) and each future scenario (S1–S4).

  • Figure 4.
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    Figure 4.

    Boxplot of crown radius (m) for baseline and future scenarios (S1, S2/S3, S4) per planting location (park/civic, private, street). Within boxes, solid black lines denote median values while large solid black dots indicate mean values. Boxes extend from the 25th to the 75th percentile of each group’s distribution of values (i.e., interquartile range [IQR]); vertical lines extend to the “minimum” (i.e., 25th percentile – [1.5 × IQR]) and “maximum” (i.e., 75th percentile + [1.5 × IQR]); small black dots denote observations outside the range of adjacent values (i.e., outliers). Mean, median, and IQR values are outlined in Table S7.

  • Figure 5.
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    Figure 5.

    Maps of baseline (2020) and 4 future scenario (S1–4; 2050) models showing tree density (gaussian kernel per 1 m2 grid size; weighted by crown radius) and individual trees sized by crown radius.

  • Figure S1.
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    Figure S1.

    Maps of the Southeast False Creek Community Public Realm development in Vancouver, Canada for 2006 (prior development; orthophoto imagery retrieved from City of Vancouver Open Data Portal 2010) and 2015 (post development; orthophoto imagery retrieved from City of Vancouver Open Data Portal 2020).

  • Figure S2.
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    Figure S2.

    Boxplot of tree height (m) for baseline and future scenarios (S1, S2/S3, S4) per planting location (park/civic, private, street). Within boxes, solid black lines denote median values, while large solid black dots indicate mean values. Boxes extend from the 25th to the 75th percentile of each group’s distribution of values (i.e., interquartile range [IQR]); vertical lines extend to the “minimum” (i.e., 25th percentile – [1.5 × IQR]) and “maximum” (i.e., 75th percentile + [1.5 × IQR]); small black dots denote observations outside the range of adjacent values (i.e., outliers). Mean, median, and IQR values are outlined in Table S7.

Tables

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    Table 1.

    Summary of future planting scenario rules, including mortality rates, rates of replacement and additional trees, species lists and mixes, as well as the general placement of additional trees. “Aged-out trees” refers to trees removed between baseline and future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. “Additional trees” are new trees that are provided to the future models to achieve scenario and location-based tree counts. CA (climate-adapted); L (large); M (medium); m (metre); S (small); SE (southeast); SW (southwest).

    AttributeLocationS1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Target building shadingS4 2050: Maximize tree canopy
    Mortality rate (annual)aStreet2.6%2.1%1.6%
    Park/civic2.2%1.7%1.2%
    Private4.6%4.1%3.6%
    Replacement tree rate1:1 ratio of replacement to aged-out trees; 2:1 ratio of replacement to aged-out trees for small trees on developed parcels
    Additional tree rateStreet150% of area-based planting rate (City of Vancouver and Vancouver Park Board 2018) Same as S1-3 for regular parks; maximized canopy cover for partially forested parksDoubled the planting rate of S1-3
    Park/civicSame as S1-3 for regular parks; maximized canopy cover for partially forested parks
    Private80% parcels with ≥ 1 tree; developed parcels followed city bylawb100% parcels with ≥ 2 trees; same as S1-3 for developed parcels
    Species listAllCity of Vancouver tree list (City of Vancouver 2011)Metro Vancouver CA tree list (Diamond Head Consulting 2019)Same as S2 and S3; 2nd rows of select species for blue-green streetsc
    Species mixAll30% per family, 20% per genus, 10% per speciesd
    Tree size proportionsStreet21% L, 37% M, 42% S (about the same as baseline 2020)Same as S1-3; 42% L, 58% M for blue-green streets
    Park/civic45%L, 50% M, 5% SSame as S1-3; 50% L, 50% M for partially forested parks
    Private2% L, 48% M, 50% S2% L, 54% M, 44% S
    General placement of additional treesStreetPrioritized streets with low existing tree cover (i.e., < 6 trees per 100 m) or adjacent to the parcel with school (civic land use)Filled gaps on streets; added 2nd tree rows for blue-green streets; prioritized streets with < 8 trees per 100 m
    Park/civicRing of trees around parcel boundaryRing of trees around parcel boundary; groups of > 5 treesSame as S2-3; infilled for partially forested parks
    PrivateRandomly distributedAt least 1 new deciduous tree placed at SW corner of principal buildingAt least 2 new deciduous trees placed at SW and SE corners of principal building
    Spacing requirementsStreet11 m for L, 10 m for M, 9.5 m for SSame as S1-3; 10 m for L, 9.5 m for M, 9 m for S in same row for blue-green streets
    Park/civic1.5 m from buildings; no planting on sport fields; 4 m spacing and closer to the center (away from streets) for conifers
    Private1.5 m from buildings; 2.5 m from any other tree
    • ↵a S1 mortality rates were based on the higher median annual mortality rates per planting location as reported in Hilbert et al. (2018). For S2-3, we deducted 0.5% from S1 mortality rates to reflect the policy changes that would provide better tree planting and tree care. For S4, another 0.5% was deducted (1% deduction from S1) per planting location to show maximum level of tree planting and tree care.

    • ↵b Protection of Trees Bylaw 9958 (City of Vancouver 2010): the current requirements on the number of trees per site is specified in Schedule C of the Protection of Trees Bylaw by the City of Vancouver. A higher number of trees are required for a larger site, and the minimum requirement is 2 trees per site (for sites that are no larger than 365 m2). Trees were applied as per bylaw up to allowable space.

    • ↵c Blue-green streets include trees and other green infrastructure designed to manage water cycles (e.g., water quality and flood risk management), enhance access to urban green space, and provide other ecosystem services, such as heat mitigation and air quality improvement (City of Vancouver 2023a).

    • ↵d Based on the ‘10-20-30’ rule for tree diversity presented by Santamour (1990).

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    Table 2.

    Annual mortality rates (% per year) and tree counts of aged-out, existing, replacement, and additional trees per location for the baseline and each future scenario (S1–4). “Aged-out trees” refers to trees removed between baseline and future scenarios. “Existing trees” are trees that were not removed since baseline and remain in future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. “Additional trees” are new trees that are provided to the future models to achieve scenario and location-based tree counts. S2 and S3 share tree counts and characteristics, other than S3 having some strategically placed private trees to target their shading potential for buildings. CA (climate-adapted); NA (not applicable).

    LocationTree statusBaseline 2020S1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Target building shadingS4 2050: Maximize tree canopy
    StreetMortality rate (annual)NA2.6%2.1%2.1%1.6%
    Aged-out treesNA1,3891,1971,197976
    Existing trees2,5421,1531,3451,3451,566
    Replacement treesNA1,3891,1971,197976
    Additional treesNA1,5121,1521,1523,288
    Park/civicMortality rate (annual)NA2.2%1.7%1.7%1.2%
    Aged-out treesNA203168168124
    Existing trees426225258258302
    Replacement treesNA212176176143
    Additional treesNA3403403401,043
    PrivateMortality rate (annual)NA4.6%4.1%4.1%3.6%
    Aged-out treesNA853805805753
    Existing trees1,122267317317369
    Replacement treesNA903856856741
    Additional treesNA4,2274,2274,2277,395
    Total4,09010,22810,22810,22815,823
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    Table 3.

    Summary of canopy cover (ha and % of total sandbox area) attributed to trees planted in each location (street, park/civic, private) and total for each scenario. CA (climate-adapted); NA (not applicable).

    MetricLocationBaseline 2020S1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Target building shadingS4 2050: Maximize tree canopy
    Canopy cover (ha; %)Street10.11 (4%)10.77 (4%)11.06 (4%)11.07 (4%)16.69 (6%)
    Park/civic2.66 (1%)3.56 (1%)3.19 (1%)3.21 (1%)6.27 (2%)
    Private4.32 (2%)8.44 (3%)10.61 (4%)10.57 (4%)17.19 (7%)
    Total16.99 (7%)22.6 (9%)24.70 (10%)24.70 (10%)40.44 (16%)
    Canopy volume (m3)Total642,552890,621758,152758,1521,234,768
    Tree countTotal4,09010,22810,22810,22815,823
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    Table 4.

    Summary of canopy cover (ha and %) of total sandbox area, as well as parcel- and street segment-based mean, associated with trees aged out since baseline (2020) and replacement trees for each scenario. “Aged-out trees” refers to trees removed between baseline and future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. The percent decrease (%) between aged-out and replacement trees’ canopy cover was also calculated: ([Aged-out – Replacement] ÷ |Aged-out|) × 100%.

    ScenarioLocationAged-out total area (ha [%])Replacement total area (ha [%])Percent decrease total area (%)Aged-out mean area (ha [%])Replacement mean area (ha [%])Percent decrease mean area (%)
    S1 2050: Existing policyStreet4.41 (1.70%)3.87 (1.49%)12%0.0161 (6.17%)0.0134 (5.05%)17%
    Park/civic1.48 (0.57%)1.04 (0.40%)30%0.2702 (7.38%)0.1699 (4.85%)37%
    Private3.38 (1.30%)1.36 (0.52%)60%0.0017 (3.97%)0.0007 (1.59%)59%
    Total9.23 (3.55%)6.26 (2.41%)32%0.0032 (4.13%)0.0019 (1.84%)41%
    S2 2050: Existing policy + CA treesStreet3.76 (1.45%)3.37 (1.30%)10%0.0139 (5.34%)0.0120 (4.48%)14%
    Park/civic1.39 (0.53%)0.76 (0.29%)45%0.2553 (7.15%)0.1123 (3.83%)56%
    Private3.25 (1.25%)1.65 (0.63%)49%0.0016 (3.69%)0.0007 (1.68%)56%
    Total8.37 (3.22%)5.76 (2.22%)31%0.0029 (3.81%)0.0017 (1.88%)41%
    S3 2050: Target building shadingStreet3.76 (1.45%)3.37 (1.30%)10%0.0139 (5.34%)0.0120 (4.48%)14%
    Park/civic1.39 (0.53%)0.76 (0.29%)45%0.2553 (7.15%)0.1123 (3.83%)56%
    Private3.25 (1.25%)1.65 (0.63%)49%0.0016 (3.69%)0.0007 (1.68%)56%
    Total8.37 (3.22%)5.76 (2.22%)31%0.0029 (3.81%)0.0017 (1.88%)41%
    S4 2050: Maximize tree canopyStreet3.02 (1.16%)2.77 (1.06%)8%0.0115 (4.46%)0.0100 (3.71%)13%
    Park/civic1.26 (0.48%)0.69 (0.27%)45%0.2079 (6.13%)0.0900 (3.51%)57%
    Private3.15 (1.21%)1.40 (0.54%)56%0.0015 (3.47%)0.0006 (1.40%)60%
    Total7.39 (2.84%)4.85 (1.87%)34%0.0027 (3.54%)0.0014 (1.57%)48%
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    Table 5.

    Summary of mean tree height (m), crown radius (m), and canopy volume (m3) for aged-out trees and replacement trees per location for each scenario. “Aged-out trees” refers to trees removed between baseline and future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. The percent change (%) between aged-out and replacement trees’ measures was also calculated: ([Aged-out – Replacement] ÷ |Aged-out|) × 100%.

    MeasureScenarioLocationAged-out trees meanReplacement trees meanPercent change
    Tree height (m)S1 2050: Existing policyStreet9.018.73−3%
    Park/civic14.2014.10−1%
    Private10.206.26−39%
    S2 2050: Existing policy + CA treesStreet8.988.33−7%
    Park/civic15.4010.90−29%
    Private10.307.19−30%
    S3 2050: Target building shadingStreet8.988.33−7%
    Park/civic15.4010.90−29%
    Private10.307.19−30%
    S4 2050: Maximize tree canopyStreet8.928.34−7%
    Park/civic17.2011.50−33%
    Private10.507.11−32%
    Crown radius (m)S1 2050: Existing policyStreet2.852.61−8%
    Park/civic4.703.94−16%
    Private3.232.09−35%
    S2 2050: Existing policy + CA treesStreet2.832.77−2%
    Park/civic5.083.62−29%
    Private3.252.39−26%
    S3 2050: Target building shadingStreet2.832.77−2%
    Park/civic5.083.62−29%
    Private3.252.39−26%
    S4 2050: Maximize tree canopyStreet2.822.78−1%
    Park/civic5.703.83−33%
    Private3.332.37−29%
    Canopy volume (m3)S1 2050: Existing policyStreet118.00124.00+5%
    Park/civic478.00386.00−19%
    Private210.0028.60−86%
    S2 2050: Existing policy + CA treesStreet117.0089.90−23%
    Park/civic890.00180.00−80%
    Private208.0042.70−79%
    S3 2050: Target building shadingStreet117.0089.90−23%
    Park/civic890.00180.00−80%
    Private208.0042.70−79%
    S4 2050: Maximize tree canopyStreet114.0089.10−22%
    Park/civic1,149.00212.00−82%
    Private223.0041.80−81%
    • View popup
    Table 6.

    Summary of mean tree height (m), crown radius (m), and canopy volume (m3) for aged-out trees and replacement trees per size class for each scenario. “Aged-out trees” refers to trees removed between baseline and future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. The percent change (%) between aged-out and replacement trees’ measures was also calculated: ([Aged-out – Replacement] ÷ |Aged-out|) × 100%.

    MeasureScenarioSize classAged-out trees meanReplacement trees meanPercent change
    Tree height (m)S1 2050: Existing policyLarge16.119.1+19%
    Medium9.238.20−11%
    Small6.464.29−34%
    S2 2050: Existing policy + CA treesLarge16.013.8−14%
    Medium9.248.99−3%
    Small6.605.39−18%
    S3 2050: Target building shadingLarge16.013.8−14%
    Medium9.248.99−3%
    Small6.605.39−18%
    S4 2050: Maximize tree canopyLarge14.216.0+13%
    Medium8.979.24+3%
    Small6.825.43−26%
    Crown radius (m)S1 2050: Existing policyLarge5.204.88−6%
    Medium2.882.74−5%
    Small2.041.43−30%
    S2 2050: Existing policy + CA treesLarge5.154.62−10%
    Medium2.893.00+4%
    Small2.081.79−14%
    S3 2050: Target building shadingLarge5.154.62−10%
    Medium2.893.00+4%
    Small2.081.79−14%
    S4 2050: Maximize tree canopyLarge5.184.74−8%
    Medium2.902.99+3%
    Small2.161.80−17%
    Canopy volume (m3)S1 2050: Existing policyLarge670.00554.00−17%
    Medium57.8050.10−13%
    Small30.606.72−78%
    S2 2050: Existing policy + CA treesLarge671.00307.00−54%
    Medium59.0072.40+23%
    Small33.2013.20−60%
    S3 2050: Target building shadingLarge671.00307.00−54%
    Medium59.0072.40−23%
    Small33.2013.20−60%
    S4 2050: Maximize tree canopyLarge706.00326.00−54%
    Medium60.2070.60+17%
    Small37.2013.50−64%
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    Table S1.

    Climate-suitability of baseline tree species used in the determination of tree mortality for future scenarios. Based on Metro Vancouver climate-adapted tree species database prepared by Diamond Head Consulting (2019a, 2019b). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). Size information was primarily sourced from Breen 2022; missing information sourced from Kwantlen Polytechnic University (2015), Missouri Botanical Garden ([date unknown]), or Plants For A Future (2022).

    Baseline tree speciesClimate suitabilitySize class
    Abies grandisMarginalLarge
    Acer campestreSuitableMedium
    Acer palmatumMarginalSmall
    Acer platanoidesSuitableMedium
    Acer × freemaniiSuitableLarge
    Betula papyriferaMarginalMedium
    Carpinus betulusSuitableMedium
    Carpinus carolinianaMarginalSmall
    Cedrus atlanticaSuitableMedium
    Cedrus deodaraVery suitableLarge
    Cercidiphyllum japonicumMarginalMedium
    Cercis canadensisVery suitableSmall
    Chamaecyparis lawsonianaMarginalMedium
    Cornus masSuitableSmall
    Cuprocyparis leylandiiVery suitableLarge
    Fagus sylvaticaMarginalLarge
    Ficus caricaVery suitableSmall
    Fraxinus americanaMarginalLarge
    Fraxinus excelsiorSuitableLarge
    Fraxinus ornusVery suitableMedium
    Fraxinus pennsylvanicaVery suitableLarge
    Gleditsia triacanthosVery suitableLarge
    Liquidambar styracifluaSuitableLarge
    Magnolia grandifloraSuitableLarge
    Malus spp.SuitableSmall
    Metasequoia glyptostroboidesMarginalLarge
    Nothofagus antarcticaSuitableMedium
    Parrotia persicaSuitableMedium
    Pinus mugoVery suitableSmall
    Pinus nigraVery suitableLarge
    Prunus cerasiferaSuitableSmall
    Prunus serrulataSuitableSmall
    Prunus spp.SuitableSmall
    Prunus × yedoensisSuitableMedium
    Pseudotsuga menziesiiSuitableLarge
    Pyrus calleryanaVery suitableMedium
    Sorbus ariaVery suitableMedium
    Thuja occidentalisSuitableMedium
    Thuja plicataMarginalLarge
    Trachycarpus fortuneiSuitableSmall
    • View popup
    Table S2.

    Summary of baseline tree data, including species name (scientific), tree height and crown diameter (m; split into lower and upper range values), tree type (coniferous or deciduous), size class, and total count, as well as count per planting location (park/civic, private, street). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). Size information was primarily sourced from Breen 2022; missing information sourced from Kwantlen Polytechnic University (2015), Missouri Botanical Garden ([date unknown]), or Plants For A Future (2022). Tree status is not included for the baseline tree data summary, as all trees are considered existing.

    SpeciesTree height (lower) (m)Crown diameter (lower) (m)Tree height (upper) (m)Crown diameter (upper) (m)Tree typeSize classTotal countPlanting location
    Street countPark/civic countPrivate count
    Abies grandis24.76.635.415.1ConiferousLarge262240
    Acer campestre6.22.713.812.7DeciduousMedium544923
    Acer palmatum7.32.48.68.6DeciduousSmall138718113
    Acer platanoides8.23.624.519.1DeciduousMedium2481051367
    Acer × freemanii7.63.117.115.7DeciduousLarge9361311
    Betula papyrifera9.93.910.37.9DeciduousMedium261124
    Carpinus betulus5.92.424.415.2DeciduousMedium451425620
    Carpinus caroliniana8.62.613.711.1DeciduousSmall706433
    Cedrus atlantica16.36.417.112.4ConiferousMedium311228
    Cedrus deodara12.84.718.213.7ConiferousLarge4127104
    Cercidiphyllum japonicum15.32.617.213.3DeciduousMedium394431
    Cercis canadensis7.32.613.011.0DeciduousSmall463916
    Chamaecyparis lawsoniana14.05.015.312.0ConiferousMedium473242
    Cornus mas9.53.29.910.5DeciduousSmall266119
    Cuprocyparis leylandii13.13.014.010.6ConiferousLarge370136
    Fagus sylvatica8.43.015.915.0DeciduousLarge4633121
    Ficus carica5.42.47.37.1DeciduousSmall130114115
    Fraxinus americana8.72.435.422.0DeciduousLarge72212724
    Fraxinus excelsior7.62.215.513.9DeciduousLarge937887
    Fraxinus ornus7.02.412.79.2DeciduousMedium797342
    Fraxinus pennsylvanica6.92.413.313.0DeciduousLarge625543
    Liquidambar styraciflua8.52.414.812.5DeciduousLarge11879831
    Magnolia grandiflora9.02.89.510.8DeciduousLarge394332
    Malus spp.8.62.49.08.6DeciduousSmall391434
    Metasequoia glyptostroboides9.43.824.614.4ConiferousLarge3213190
    Parrotia persica7.22.413.69.1DeciduousMedium7249320
    Pinus mugo5.42.48.15.5ConiferousSmall316520
    Pinus nigra15.32.416.312.4ConiferousLarge353329
    Prunus cerasifera6.12.114.312.9DeciduousSmall3833362918
    Prunus serrulata6.12.417.715.5DeciduousSmall612576927
    Prunus spp.11.62.515.316.6DeciduousSmall141150126
    Prunus × yedoensis6.72.113.713.6DeciduousMedium545301
    Pseudotsuga menziesii6.72.430.215.6ConiferousLarge95271454
    Pyrus calleryana6.12.49.78.8DeciduousMedium777304
    Sorbus aria7.52.513.98.8DeciduousMedium777322
    Thuja occidentalis9.92.626.911.7ConiferousMedium11569100
    Thuja plicata17.23.521.415.7ConiferousLarge128321284
    Trachycarpus fortunei8.22.49.99.5ConiferousSmall472342
    • View popup
    Table S3.

    Summary of S1 tree data, including species name (scientific), tree height and crown diameter (m), tree type (coniferous or deciduous), size class, and total count, as well as count per planting location (park/civic, private, street) and count per tree status (existing, replacement, additional). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). Size information was primarily sourced from Breen 2022; missing information sourced from Kwantlen Polytechnic University (2015), Missouri Botanical Garden ([date unknown]), or Plants For A Future (2022).

    SpeciesTree height (m)Crown diameter (m)Tree typeSize classTotal countPlanting locationTree status
    Park/civic countPrivate countStreet countExisting countReplacement countAdditional count
    Abies grandis35.37.2ConiferousLarge1024605604557
    Acer campestre7.04.7DeciduousMedium2320212300
    Acer platanoides8.75.8DeciduousMedium1299123612900
    Acer × freemanii14.710.1DeciduousLarge34201133400
    Amelanchier × grandiflora5.33.5DeciduousSmall75905152440208551
    Carpinus betulus10.15.9DeciduousMedium1344212813400
    Cedrus atlantica10.16.7ConiferousMedium6240600
    Cedrus deodara11.07.3ConiferousLarge40103274000
    Celtis occidentalis9.06.0DeciduousMedium786575142150216570
    Cercis canadensis5.03.3DeciduousSmall4616394600
    Chamaecyparis nookatensis15.010.0ConiferousLarge1004505504357
    Chamaecyparis pisifera33.36.8ConiferousLarge61605502833
    Cornus mas4.73.1DeciduousSmall75705142430207550
    Cuprocyparis leylandii13.12.0ConiferousLarge3613503600
    Fagus sylvatica12.78.5DeciduousLarge64805603034
    Ficus carica6.74.2DeciduousSmall1115951111100
    Fraxinus excelsior16.811.2DeciduousLarge2350182300
    Fraxinus ornus9.03.9DeciduousMedium7942737900
    Fraxinus pennsylvanica11.07.3DeciduousLarge125122111613034
    Gleditsia triacanthos13.38.9DeciduousLarge100189110000
    Liquidambar styraciflua13.48.4DeciduousLarge3257203200
    Magnolia denudata7.04.7DeciduousMedium784565132150214570
    Malus domestica3.02.0DeciduousSmall75755092430207550
    Malus floribunda4.53.0DeciduousSmall76435162456208550
    Nothofagus antartica9.03.9DeciduousMedium9108900
    Parrotia persica7.04.7DeciduousMedium8025951722616216570
    Picea glauca16.010.7ConiferousLarge1014605504457
    Pinus mugo1.72.8ConiferousSmall2521762500
    Pinus nigra11.07.3ConiferousLarge3072033000
    Platanus × hispanica17.011.3DeciduousLarge64805603034
    Prunus cerasifera5.43.4DeciduousSmall1491214614900
    Prunus sargentii5.43.4DeciduousSmall3182033100
    Prunus serrulata5.43.4DeciduousSmall29719627229700
    Prunus × yedoensis10.16.7DeciduousMedium1601151600
    Pseudotsuga menziesii28.018.7ConiferousLarge132601161314457
    Pyrus calleryana7.04.7DeciduousMedium7300737300
    Quercus robur9.06.0DeciduousMedium786595122150216570
    Sorbus aria8.35.6DeciduousMedium7722737700
    Styrax japonicus4.02.7DeciduousSmall75805142440208550
    Taxus brevifolia9.06.0ConiferousMedium770465112130208562
    Thuja occidentalis8.05.4ConiferousMedium1761011700
    Thuja plicata12.08.0ConiferousLarge994505404356
    Tilia cordata13.08.7DeciduousLarge64805603034
    Trachycarpus fortunei5.43.4ConiferousSmall7322700
    Zelkova serrata11.07.3DeciduousLarge62605602933
    • View popup
    Table S4.

    Summary of S2 tree data (same data for S3), including species name (scientific), tree height and crown diameter (m), tree type (coniferous or deciduous), size class, and total count, as well as count per planting location (park/civic, private, street) and count per tree status (existing, replacement, additional). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). Size information was primarily sourced from Breen 2022; missing information sourced from Kwantlen Polytechnic University (2015), Missouri Botanical Garden ([date unknown]), or Plants For A Future (2022).

    SpeciesTree height (m)Crown diameter (m)Tree typeSize classTotal countPlanting locationTree status
    Park/civic countPrivate countStreet countExisting countReplacement countAdditional count
    Abies concolor8.05.3ConiferousMedium563533651456140417
    Acer campestre7.04.7DeciduousMedium2620242600
    Acer platanoides8.75.8DeciduousMedium16111334516100
    Acer × freemanii14.710.1DeciduousLarge49230264900
    Calocedrus decurrens18.312.2ConiferousLarge892606303752
    Carpinus betulus10.15.9DeciduousMedium1834717218300
    Catalpa speciosa10.06.7DeciduousMedium261618372065196
    Cedrus atlantica10.16.7ConiferousMedium5140500
    Cedrus deodara11.07.3ConiferousLarge12734390403651
    Celtis sinensis10.77.1DeciduousLarge902606403753
    Cercis canadensis5.03.3DeciduousSmall656142622946152458
    Crataegus laevigata3.52.3DeciduousSmall61004231870153457
    Cuprocyparis leylandii13.12.0ConiferousLarge3613503600
    Eucommia ulmoides10.06.7DeciduousMedium259618172064195
    Ficus carica6.74.2DeciduousSmall1125961111200
    Fraxinus excelsior16.811.2DeciduousLarge4062324000
    Fraxinus ornus9.03.9DeciduousMedium7942737900
    Fraxinus pennsylvanica11.07.3DeciduousLarge6142556100
    Ginkgo biloba10.06.7DeciduousMedium262618472066196
    Gleditsia triacanthos13.38.9DeciduousLarge1902781551003753
    Gymnocladus dioicus9.06.0DeciduousMedium259518371065194
    Juniperus scopulorum7.04.7ConiferousMedium2914718262069222
    Koelreuteria paniculata6.04.0DeciduousSmall61504261890156459
    Liquidambar styraciflua13.48.4DeciduousLarge4266304200
    Maackia amurensis6.04.0DeciduousSmall61604241920157459
    Magnolia grandiflora14.13.9DeciduousLarge6231600
    Malus floribunda4.53.0DeciduousSmall8341800
    Nothofagus antartica9.03.9DeciduousMedium1510141500
    Notholithocarpus densiorus5.03.3DeciduousSmall61654201910158458
    Nyssa sinensis8.05.3DeciduousMedium258518172064194
    Ostrya virginiana6.74.5DeciduousSmall892606303752
    Parrotia persica7.04.7DeciduousMedium2224162200
    Pinus contorta9.06.0ConiferousMedium3065318271081225
    Pinus flexilis9.76.4ConiferousMedium3055218172080225
    Pinus mugo1.72.8ConiferousSmall2521762500
    Pinus nigra11.07.3ConiferousLarge113292262303251
    Pinus ponderosa16.010.7ConiferousLarge1195206705069
    Pinus sylvestris9.06.0ConiferousMedium258518370064194
    Pinus thunbergii10.06.7ConiferousMedium261518373067194
    Pistacia chinensis6.54.3DeciduousSmall61704261910157460
    Prunus cerasifera5.43.4DeciduousSmall1812417518100
    Prunus sargentii5.43.4DeciduousSmall4893364800
    Prunus serrulata5.43.4DeciduousSmall35025631935000
    Prunus × yedoensis10.16.7DeciduousMedium1900191900
    Pseudotsuga menziesii28.018.7ConiferousLarge391415103900
    Quercus acutissima10.06.7DeciduousMedium260818072064196
    Quercus alba16.010.7DeciduousLarge902606403753
    Sorbus aria8.35.6DeciduousMedium33571831457764194
    Thuja occidentalis8.05.4ConiferousMedium2872012800
    Trachycarpus fortunei5.43.4ConiferousSmall133821300
    • View popup
    Table S5.

    Summary of S4 tree data, including species name (scientific), tree height and crown diameter (m), tree type (coniferous or deciduous), size class, and total count, as well as count per planting location (park/civic, private, street) and count per tree status (existing, replacement, additional). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). Blue-green streets include trees and other green infrastructure designed to manage water cycles (e.g., water quality and flood risk management), enhance access to urban green space, and provide other ecosystem services, such as heat mitigation and air quality improvement (City of Vancouver 2023a). Size information was primarily sourced from Breen 2022; missing information sourced from Kwantlen Polytechnic University (2015), Missouri Botanical Garden ([date unknown]), or Plants For A Future (2022).

    SpeciesTree height (m)Crown diameter (m)Tree typeSize classBlue-greenTotal countPlanting locationTree status
    Park/civic countPrivate countStreet countExisting countReplacement countAdditional count
    Abies concolor8.05.3ConiferousMediumNo612593801730122490
    Acer campestre7.04.7DeciduousMediumNo3020283000
    Acer platanoides8.75.8DeciduousMediumNo19713336119700
    Acer × freemanii14.710.1DeciduousLargeNo66300366600
    Alnus cordata8.04.5DeciduousMediumYes6900690069
    Alnus rubra9.03.9DeciduousLargeYes8000800080
    Betula papyrifera8.75.8DeciduousMediumNo2011812000
    Calocedrus decurrens18.312.2ConiferousLargeNo14138895035106
    Carpinus betulus10.15.9DeciduousMediumNo2316721823100
    Catalpa speciosa10.06.7DeciduousMediumNo59138449104059532
    Cedrus atlantica10.16.7ConiferousMediumNo113801100
    Cedrus deodara11.07.3ConiferousLargeNo2189391163928151
    Celtis sinensis10.77.1DeciduousLargeNo19386899037156
    Cercis canadensis5.03.3DeciduousSmallNo77115811894695630
    Cornus mas4.73.1DeciduousSmallNo2311662300
    Crataegus laevigata3.52.3DeciduousSmallNo76205811810127635
    Cuprocyparis leylandii13.12.0ConiferousLargeNo3613503600
    Eucommia ulmoides10.06.7DeciduousMediumNo58339439105055528
    Ficus carica6.74.2DeciduousSmallNo1104951111000
    Fraxinus excelsior16.811.2DeciduousLargeNo6083496000
    Fraxinus ornus9.03.9DeciduousMediumYes1494214379070
    Fraxinus pennsylvanica11.07.3DeciduousLargeNo6142556100
    Ginkgo biloba10.06.7DeciduousMediumNo57927447105054525
    Gleditsia triacanthos13.38.9DeciduousLargeNo288752319010037151
    Gymnocladus dioicus9.06.0DeciduousMediumNo57732442103056521
    Juniperus chinensis13.38.9ConiferousLargeNo17185878017154
    Juniperus scopulorum7.04.7ConiferousMediumNo3717320989063308
    Koelreuteria paniculata6.04.0DeciduousSmallNo86505992660141724
    Liquidambar styraciflua13.48.4DeciduousLargeNo5886445800
    Maackia amurensis6.04.0DeciduousSmallNo79105862050144647
    Magnolia grandiflora14.13.9DeciduousLargeNo123811200
    Malus floribunda4.53.0DeciduousSmallNo124711200
    Nothofagus antartica9.03.9DeciduousMediumNo2210212200
    Notholithocarpus densiorus5.03.3DeciduousSmallNo79345901990155638
    Nyssa sinensis8.05.3DeciduousMediumNo65741442174057600
    Ostrya virginiana6.74.5DeciduousSmallNo26026133101037223
    Parrotia persica7.04.7DeciduousMediumYes91328622069
    Pinus contorta9.06.0ConiferousMediumNo3344620979037297
    Pinus flexilis9.76.4ConiferousMediumNo3697619697050319
    Pinus mugo1.72.8ConiferousSmallNo2501962500
    Pinus nigra11.07.3ConiferousLargeNo1918431763211148
    Pinus ponderosa16.010.7ConiferousLargeNo18679899052134
    Pinus sylvestris9.06.0ConiferousMediumNo3223621175034288
    Pinus thunbergii10.06.7ConiferousMediumNo34431207106062282
    Pistacia chinensis6.54.3DeciduousSmallNo72305251980136587
    Populus nigra10.03.9DeciduousLargeYes7800780078
    Prunus cerasifera5.43.4DeciduousSmallNo2153420821500
    Prunus sargentii5.43.4DeciduousSmallNo5393775300
    Prunus serrulata5.43.4DeciduousSmallNo40728637340700
    Prunus × yedoensis10.16.7DeciduousMediumNo2500252500
    Pseudotsuga menziesii28.018.7ConiferousLargeNo431414154300
    Pyrus calleryana7.04.7DeciduousMediumNo7410737400
    Quercus acutissima10.06.7DeciduousMediumNo54638402106061485
    Quercus alba16.010.7DeciduousLargeNo16356899036127
    Quercus virginiana12.113.4DeciduousLargeYes8000800080
    Robinia pseudoacacia8.02.8DeciduousMediumYes6800680068
    Sorbus aria8.35.6DeciduousMediumNo667434461787762528
    Thuja occidentalis8.05.4ConiferousMediumNo3682623600
    Trachycarpus fortunei5.43.4ConiferousSmallNo1531021500
    Ulmus parvifolia9.06.7DeciduousMediumYes6900690069
    Ulmus procera23.58.4DeciduousLargeYes8100810081
    • View popup
    Table S6.

    Summary of tree count (and percentage of total trees) for each location, size class, and tree type per scenario (baseline and S1-4). Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). CA (climate-adapted); CoV (City of Vancouver).

    LocationSize classTree typeBaseline 2020S1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Maximize building shadingS4 2050: Maximize tree canopy
    StreetSmallDeciduous1,055 (26%)1,690 (17%)1,755 (17%)1,755 (17%)1,945 (12%)
    Coniferous8 (0%)8 (0%)8 (0%)8 (0%)8 (0%)
    MediumDeciduous943 (23%)1,297 (10%)1,013 (10%)1,013 (10%)1,807 (11%)
    Coniferous10 (0%)215 (5%)492 (5%)492 (5%)620 (4%)
    LargeDeciduous422 (10%)477 (4%)427 (4%)427 (4%)971 (6%)
    Coniferous104 (3%)367 (4%)359 (4%)359 (4%)479 (3%)
    Park/civicSmallDeciduous72 (2%)42 (1%)76 (1%)76 (1%)80 (1%)
    Coniferous3 (0%)5 (0%)5 (0%)5 (0%)3 (0%)
    MediumDeciduous159 (4%)335 (3%)169 (2%)169 (2%)409 (3%)
    Coniferous13 (0%)54 (1%)223 (2%)223 (2%)332 (2%)
    LargeDeciduous94 (2%)75 (1%)120 (1%)120 (1%)270 (2%)
    Coniferous85 (2%)266 (3%)181 (2%)181 (2%)394 (2%)
    PrivateSmallDeciduous461 (11%)2,697 (26%)2,689 (26%)2,689 (26%)3,760 (24%)
    Coniferous62 (2%)19 (0%)26 (0%)26 (0%)29 (0%)
    MediumDeciduous114 (3%)2,065 (20%)1,291 (13%)1,291 (13%)3,099 (20%)
    Coniferous170 (4%)525 (5%)1,298 (13%)1,298 (13%)1,446 (9%)
    LargeDeciduous108 (3%)22 (0%)21 (0%)21 (0%)58 (0%)
    Coniferous207 (5%)69 (1%)75 (1%)75 (1%)113 (1%)
    Total4,09010,22810,22810,22815,823
    • View popup
    Table S7.

    Summary statistics of tree height and crown radius per location and scenario, including mean, median, standard deviation (SD), and interquartile range (IQR).

    MeasureScenarioLocationMeanMedianMinimumMaximumSDIQR
    Tree height (m)Baseline 2020Street10.949.835.3835.443.975.34
    Park/civic17.3417.346.1035.365.867.17
    Private12.1311.255.4333.804.586.59
    S1 2050: Existing policyStreet8.597.001.7035.305.964.00
    Park/civic13.079.001.7035.308.166.30
    Private6.386.701.7028.002.454.50
    S2 2050: Existing policy + CA treesStreet8.338.001.7028.003.444.60
    Park/civic10.659.701.7028.004.085.30
    Private7.286.701.7028.002.423.00
    S3 2050: Maximize building shadingStreet8.338.001.7028.003.444.60
    Park/civic10.659.701.7028.004.085.30
    Private7.286.701.7028.002.423.00
    S4 2050: Maximize tree canopyStreet8.868.301.7028.003.744.10
    Park/civic10.8010.004.5028.003.414.60
    Private7.568.001.7028.002.384.00
    Crown radius (m)Baseline 2020Street3.323.101.038.981.341.81
    Park/civic4.294.041.1811.021.772.22
    Private3.333.121.068.311.371.94
    S1 2050: Existing policyStreet2.602.351.009.351.381.35
    Park/civic3.803.001.009.351.901.33
    Private2.102.101.009.350.801.50
    S2 2050: Existing policy + CA treesStreet2.722.651.159.351.161.65
    Park/civic3.533.001.009.351.381.80
    Private2.402.151.009.350.801.30
    S3 2050: Maximize building shadingStreet2.722.651.159.351.161.65
    Park/civic3.533.001.009.351.381.80
    Private2.402.151.009.350.801.30
    S4 2050: Maximize tree canopyStreet2.832.651.109.351.241.40
    Park/civic3.593.351.009.351.161.55
    Private2.502.651.009.350.791.20
    • View popup
    Table S8.

    Summary of tree count (and percentage of total trees) for existing, replacement, and additional trees per size class for each future scenario (S1–4). “Existing trees” are trees that were not removed since baseline and remain in future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. “Additional trees” are new trees that are provided to the future models to achieve scenario and location-based tree counts. Size class was based on species-specific mature tree height: > 15 m (large); 10-15 m (medium); and < 10 m (small). CA (climate-adapted); CoV (City of Vancouver).

    Tree statusSize classS1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Maximize building shadingS4 2050: Maximize tree canopy
    ExistingSmall672 (6%)786 (8%)786 (8%)906 (6%)
    Medium579 (6%)691 (7%)691 (7%)824 (5%)
    Large394 (4%)443 (4%)443 (4%)507 (3%)
    ReplacementSmall1,038 (10%)970 (10%)970 (10%)835 (5%)
    Medium1,070 (10%)953 (9%)953 (9%)772 (5%)
    Large396 (4%)306 (3%)306 (3%)253 (1%)
    AdditionalSmall2,751 (27%)2,803 (27%)2,803 (27%)4,084 (26%)
    Medium2,842 (28%)2,842 (28%)2,842 (28%)6,117 (39%)
    Large486 (5%)434 (4%)434 (4%)1,525 (10%)
    • View popup
    Table S9.

    Summary of tree count (and percentage of total trees) for existing, replacement, and additional trees per location for each future scenario (S1–4). “Existing trees” are trees that were not removed since baseline and remain in future scenarios. “Replacement trees” are new trees provided to future scenarios in place of aged-out trees. “Additional trees” are new trees that are provided to the future models to achieve scenario and location-based tree counts. CA (climate-adapted); CoV (City of Vancouver).

    Tree statusLocationS1 2050: Existing policyS2 2050: Existing policy + CA treesS3 2050: Maximize building shadingS4 2050: Maximize tree canopy
    ExistingStreet1,153 (11%)1,345 (13%)1,345 (13%)1,566 (10%)
    Park/civic225 (2%)258 (3%)258 (3%)302 (2%)
    Private267 (3%)317 (3%)317 (3%)369 (2%)
    ReplacementStreet1,389 (14%)1,197 (12%)1,197 (12%)976 (6%)
    Park/civic212 (2%)176 (2%)176 (2%)143 (1%)
    Private903 (9%)856 (8%)856 (8%)741 (5%)
    AdditionalStreet1,512 (15%)1,512 (15%)1,512 (15%)3,288 (21%)
    Park/civic340 (3%)340 (3%)340 (3%)1,043 (6%)
    Private4,227 (41%)4,227 (41%)4,227 (41%)7,395 (47%)
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Arboriculture & Urban Forestry (AUF): 50 (1)
Arboriculture & Urban Forestry (AUF)
Vol. 50, Issue 1
January 2024
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Modelling Four Neighbourhood-Scale Urban Forest Scenarios for 2050: Vancouver, Canada
Agatha Czekajlo, Zhaohua Cheng, Sara Barron, Cynthia Girling, Lorien Nesbitt
Arboriculture & Urban Forestry (AUF) Jan 2024, 50 (1) 18-56; DOI: 10.48044/jauf.2023.025

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Modelling Four Neighbourhood-Scale Urban Forest Scenarios for 2050: Vancouver, Canada
Agatha Czekajlo, Zhaohua Cheng, Sara Barron, Cynthia Girling, Lorien Nesbitt
Arboriculture & Urban Forestry (AUF) Jan 2024, 50 (1) 18-56; DOI: 10.48044/jauf.2023.025
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Keywords

  • Canopy Cover
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