Skip to main content

Main menu

  • Home
  • Content
    • Ahead of Print
    • Current Issue
    • Special Issues
    • All Issues
  • Contribute
    • Submit to AUF
    • Author Guidelines
    • Reviewer Guidelines
  • About
    • Overview
    • Editorial Board
    • Journal Metrics
    • International Society of Arboriculture
  • More
    • Contact
    • Feedback
  • Alerts

User menu

  • Log in

Search

  • Advanced search
Arboriculture & Urban Forestry
  • Log in
Arboriculture & Urban Forestry

Advanced Search

  • Home
  • Content
    • Ahead of Print
    • Current Issue
    • Special Issues
    • All Issues
  • Contribute
    • Submit to AUF
    • Author Guidelines
    • Reviewer Guidelines
  • About
    • Overview
    • Editorial Board
    • Journal Metrics
    • International Society of Arboriculture
  • More
    • Contact
    • Feedback
  • Alerts
  • Facebook
  • Twitter
  • YouTube
  • LinkedIn
Research ArticleArticles

Ecosystem Service-Based Sensitivity Analyses of i-Tree Eco

Jian Lin, Charles N. Kroll and David J. Nowak
Arboriculture & Urban Forestry (AUF) July 2020, 46 (4) 287-306; DOI: https://doi.org/10.48044/jauf.2020.021
Jian Lin
Jian Lin (corresponding author), Graduate Program in Environmental Science, State University of New York College of Environmental Science and Forestry (SUNY-ESF), 321 Baker Lab, 1 Forestry Dr, Syracuse, NY, USA, , 315-708-9886
  • Find this author on Google Scholar
  • Search for this author on this site
  • For correspondence: [email protected]
Charles N. Kroll
Charles N. Kroll, Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry (SUNY-ESF), 424 Baker Lab, 1 Forestry Dr, Syracuse, NY, USA, , 315-470-6699
  • Find this author on Google Scholar
  • Search for this author on this site
  • For correspondence: [email protected]
David J. Nowak
David J. Nowak, Northern Research Station, USDA Forest Service, 5 Moon Library, 1 Forestry Dr, Syracuse, NY, USA, , 315-448-3212
  • Find this author on Google Scholar
  • Search for this author on this site
  • For correspondence: [email protected]
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Input variables, procedures in each module, and output variables from Eco.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Flowchart to perform sensitivity analyses.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Bin and quantile regression process: (a) scatterplot of PAR vs Vd of NO2; (b) scatterplot divided into 10 bins, and each bin represented as a boxplot with median values shown as a red star; and (c) regression curve fit to the median values to express a specific input-output relationship.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Output from MOAT analysis showing standard deviation of elementary effect (σ) versus the mean of the absolute value of the elementary effect (μ *) for Eco-B (a) isoprene and (b) monoterpenes, Eco-C (c) carbon storage and (d) sequestration, and Eco-D dry deposition velocity (Vd) for (e) NO2, (f) SO2, and (g) O3.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Sensitivity measures (Si and STi) of (a) isoprene and (b) monoterpenes emissions, (c) carbon storage and (d) sequestration, and dry deposition velocity (Vd) for (e) NO2, (f) SO2, and (g) O3.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Relationships between Vd and PAR.

Tables

  • Figures
    • View popup
    Table 1.

    A list of output variables used in this experiment.

    ModuleOutput variableUnitDescription
    Eco-BIsopreneμgC/hrIsoprene emission
    Eco-BMonoterpenesμgC/hrMonoterpenes emission
    Eco-CCarbon storagekgCarbon storage
    Eco-CCarbon gross sequestrationkg/yrAnnual gross carbon sequestration
    Eco-DVd of NO2cm/sDry deposition velocity of nitrogen dioxide (NO2)
    Eco-DVd of SO2cm/sDry deposition velocity of sulfur dioxide (SO2)
    Eco-DVd of O3cm/sDry deposition velocity of ozone (O3)
    • View popup
    Table 2.

    Summary statistics of input variables (each integer represents one category for categorical variables).

    ModuleParameterTypeMeanStandard deviationMinimumMaximumDistributionP-value for Kolmogorov–Smirnov Test
    Eco-BGenusCategoricalUniform
    Leaf biomass (kg)Continuous8.1818.50267Lognormal0.19
    PAR (W/m2)Continuous84.31220483Gamma0.08
    Temperature (°C)Continuous13.310.1−1037.2Gumbel0.09
    Eco-CSpeciesCategoricalUniform
    DBH (cm)Continuous16.318.32.5122Lognormal0.12
    Height (m)Continuous74.981.230.5Lognormal0.1
    Land useCategorical18Uniform
    Tree conditionCategorical06Uniform
    CLE*Categorical05Uniform
    Eco-DLAIContinuous5.81.7210Uniform
    Pressure (Mbar)Continuous10107.799781030Lognormal0.05
    PAR (W/m2)Continuous84.31220483Gamma0.08
    Relative humidity (%)Continuous61198100Beta          0.04
    Temperature (°C)Continuous13.310.1−1037.2Gumbel0.09
    Wind speed (m/s)Continuous5.272.83020.6Weibull0.09
    • ↵* CLE affects the calculation of leaf biomass and therefore is also employed as an input parameter for Eco-B.

    • View popup
    Table 3.

    Spearman’s rank correlation coefficient structure among input variables.

    HeightPressurePARRelative humidityTemperature
    DBH0.66
    Pressure1.00
    PAR0.141.00
    Relative humidity−0.24−0.281.00
    Temperature0.040.58−0.101.00
    • View popup
    Table 4.

    Bin quantile regression analysis of i-Tree Eco-B, C, and D outputs for most important input variables.

    ModuleOutput variable YInput variable XRegression equationRegression formAdjusted R2
    Eco-BIsopreneLeaf biomassY = 0.16 + 1.32X – 0.18X2Concave0.99
    Eco-BIsopreneTemperatureY = −0.45 + 0.82X + 0.49X2Convex0.96
    Eco-BIsoprenePARY = 0.94XLinear0.87
    Eco-BIsopreneCLEY = 0.95XLinear0.87
    Eco-BMonoterpenesLeaf biomassY = 0.34 + 1.66X – 0.38X2Concave1.00
    Eco-BMonoterpenesTemperatureY = −0.35 + 0.89X + 0.39X2Convex0.99
    Eco-BMonoterpenesCLEY = 0.89XLinear0.74
    Eco-CCarbon storageDBHY = −0.18 + 0.65X + 0.2X2Convex0.99
    Eco-CCarbon gross sequestrationDBHY = 0.99XLinear0.98
    Eco-CCarbon gross sequestrationConditionY = 0.91XLinear0.78
    Eco-CCarbon gross sequestrationCLEY = 0.82XLinear0.59
    Eco-DVd,NO2PARY = 0.42 + 1.148X – 0.467X2Concave0.94
    Eco-DVd,NO2Relative humidityY = 0.77XLinear0.55
    Eco-DVd,NO2LAIY = 0.99XLinear0.98
    Eco-DVd,NO2TemperatureY = 0.2 + 0.97X – 0.22X2Concave0.96
    Eco-DVd,SO2PARY = 0.35 + 1.15X – 0.39X2Concave0.99
    Eco-DVd,SO2Relative humidityY = 0.86XLinear0.71
    Eco-DVd,SO2TemperatureY = 0.15 + 0.98X – 0.16X2Concave0.98
    Eco-DVd,SO2LAIY = 0.975XLinear0.95
    Eco-DVd,O3PARY = 0.37 + 1.16X – 0.41X2Concave0.98
    Eco-DVd,O3Relative humidityY = 0.85XLinear0.69
    Eco-DVd,O3LAIY = 0.9775XLinear0.95
    Eco-DVd,O3TemperatureY = 0.15 + 0.98X – 0.17X2Concave0.98
PreviousNext
Back to top

In this issue

Arboriculture & Urban Forestry (AUF): 46 (4)
Arboriculture & Urban Forestry (AUF)
Vol. 46, Issue 4
July 2020
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Arboriculture & Urban Forestry.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Ecosystem Service-Based Sensitivity Analyses of i-Tree Eco
(Your Name) has sent you a message from Arboriculture & Urban Forestry
(Your Name) thought you would like to see the Arboriculture & Urban Forestry web site.
Citation Tools
Ecosystem Service-Based Sensitivity Analyses of i-Tree Eco
Jian Lin, Charles N. Kroll, David J. Nowak
Arboriculture & Urban Forestry (AUF) Jul 2020, 46 (4) 287-306; DOI: 10.48044/jauf.2020.021

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Ecosystem Service-Based Sensitivity Analyses of i-Tree Eco
Jian Lin, Charles N. Kroll, David J. Nowak
Arboriculture & Urban Forestry (AUF) Jul 2020, 46 (4) 287-306; DOI: 10.48044/jauf.2020.021
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • ACKNOWLEDGMENTS
    • Footnotes
    • LITERATURE CITED
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Contribution of Urban Trees to Ecosystem Services in Lisbon: A Comparative Study Between Gardens and Street Trees
  • Evaluation of Nature-Based and Traditional Solutions for Urban Soil Decompaction
  • Using the CSR Theory when Selecting Woody Plants for Urban Forests: Evaluation of 342 Trees and Shrubs
Show more Articles

Similar Articles

Keywords

  • Air Pollutant
  • Carbon Storage and Sequestration
  • Monte Carlo
  • urban forests
  • Volatile Organic Compounds

© 2025 International Society of Arboriculture

Powered by HighWire