Taipei Tree Finder

Ecological Benefits Dashboard · Referencing the i-Tree Eco Framework

Ecological Benefits of
Taipei's Street Trees

Using Taipei City Government's public tree data, referencing the i-Tree Eco benefit-assessment framework[12], this page estimates the carbon storage, rainfall interception, and air-quality benefits of street trees along two roads. Carbon storage uses the IPCC 2006 Tier 1 biomass method[1] (species-specific allometric growth models, with carbon content calibrated to Taiwan-specific measurements); rainfall interception and air-pollutant removal use the academic coefficients of Xiao (2000)[4] and Nowak (2013)[5]. An interactive carbon dashboard for the area around Da'an Forest Park is also included.

Ecological Benefits · Road Segments

Comparing Ecological Benefits by Road

Every tree-lined corridor in Taipei is included in this estimate. Here are the two most representative ones — Dunhua South Road and Ren-ai Road.

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The three benefit indicators on this page reference the i-Tree Eco benefit-assessment framework, estimated using local academic coefficients. Annual carbon uptake uses a species-specific allometric growth model (IPCC 2006[1] biomass method), applied to trunk diameters from the Taipei Public Works Department survey (annual_co2_kg); rainfall interception and air-quality benefits are both estimated from crown projection area (Xiao 2000[4], Nowak 2013[5]), preferring the government's field-measured crown width where available. ↓ See the full methodology and formulas
Dunhua South Road
A north–south tree-lined boulevard in eastern Taipei, planted mainly with London plane trees (Platanus × acerifolia); its autumn/winter leaf drop forms the well-known "golden tunnel" scene.
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Street trees
trees Public survey data
Annual carbon uptake
kg CO₂ / yr Survey DBH × allometric model
Rainfall interception
m³ / yr Crown-based estimate · Xiao 2000[4]
Air-quality benefit
NT$ / yr Crown-based estimate · Nowak 2013[5]
Main species
Ren-ai Road
An east–west landscaped boulevard with large trees planted in its central median — banyan and camphor trees weave together an urban green corridor, one of Taipei's oldest tree-lined roads.
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Street trees
trees Public survey data
Annual carbon uptake
kg CO₂ / yr Survey DBH × allometric model
Rainfall interception
m³ / yr Crown-based estimate · Xiao 2000[4]
Air-quality benefit
NT$ / yr Crown-based estimate · Nowak 2013[5]
Main species

Interactive Map · Da'an Forest Park

Da'an Forest Park Carbon Dashboard

An interactive dashboard built from public tree data around Da'an Forest Park, showing species composition, carbon storage, annual carbon uptake, rainfall interception, and radius-based spatial analysis.

About This Area

Da'an Forest Park is a large green space in central Taipei; its surrounding street trees and park canopy together form a core node for urban cooling, recreation, and ecological education.

Urban cooling Diverse-species habitat Rainfall interception
Guided Tour Introduction

Once species data loads, the most common species will be highlighted as a tour entry point.

Analyzing species…
Popular Spots
Forest Trail Outdoor Music Plaza Da'an Park MRT Station Ecological Pond Jianguo S. Rd. Canopy Xinyi Rd. Green Corridor
Total Carbon Storage for This Area

Estimated from the DBH, height, and species in the public dataset. Suitable for outreach and demonstration; a formal inventory should still rely on a full field survey.

Trees loaded
trees
Estimated carbon storage
tonnes CO₂e
Estimated annual uptake
kg CO₂e / yr
Estimated rainfall interception
liters / yr
Species Breakdown
Data Summary

Loading species data.

This section references the i-Tree Eco benefit-assessment framework[12], combined with Taipei City Government open data (OGDL license)[13]. Carbon storage and annual carbon uptake use a species-specific allometric growth model (IPCC 2006 biomass method[1]), from the survey's carbon_kg and annual_co2_kg fields; rainfall interception is estimated from crown vertical projection area (crown-width method, Xiao et al., 2000[4]), preferring the government's field-measured crown width where available. These figures are suitable for outreach and policy reference; a formal inventory should still rely on a full field survey.

Spatial Carbon Analysis

Method · Referencing the i-Tree Eco Framework

Methodology

This is the site's single, authoritative methodology section. The formulas, coefficients, and references behind every benefit figure are fully disclosed here for review.

The ecological benefits on this page reference the i-Tree Eco benefit-assessment framework[12] — i-Tree was co-developed by the USDA Forest Service and the Davey Tree Expert Company, and is the most widely used urban-forest benefit-assessment tool in the world. However, the figures here are not output from the i-Tree Eco software itself; they are estimated using local and international academic coefficients: annual carbon uptake uses the IPCC 2006 Tier 1 biomass method[1] (species-specific allometric parameters calibrated from domestic and international urban-tree biomass literature, with carbon content calibrated to Taiwan-specific timber measurements — Lin et al. 2002[2]); rainfall interception and air-pollutant removal use the academic coefficients of Xiao (2000)[4] and Nowak (2013)[5].

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Crown-width data coverage (disclosed honestly): rainfall interception, air-quality benefit, and shade area are all calculated from crown projection area, preferring the government survey's field-measured values — about 94% of street trees, 100% of riverside park trees, about 99% of park trees, and about 27.6% of protected trees (1,068 / 3,874) have a measured crown width; the rest are estimated from height (crown width ≈ height × 0.4, Pretzsch et al., 2015[11]). Protected trees have more missing crown-width data; this platform maintains a separate gap list for the responsible authority to fill in.
🌱 Annual Carbon Uptake / Carbon Storage (Carbon Sequestration)

Estimated using a species-specific allometric equation. Above-ground biomass B_AG = a × DBH^b (species-specific a, b parameters calibrated from domestic and international urban-tree biomass literature; species without published parameters use generic values), plus a below-ground root-to-shoot ratio R = 0.25 (IPCC 2006 GL Vol. 4 Ch. 4 Table 4.4[1]) for total biomass, multiplied by a carbon fraction CF = 0.463 (within the IPCC 2006 range[1], consistent with Taiwan-specific timber carbon-content measurements — Lin et al. 2002[2]) to get carbon storage (kg C), then × 44/12 for the CO₂ equivalent. Annual carbon uptake is further multiplied by a 4% annual growth rate (a conservative value from domestic urban street-tree research). Trunk diameters come from surveys by the Taipei Public Works Department's Parks and Street Lights Office and Hydraulic Engineering Office; these are not field-measured carbon-inventory values.

Above-ground biomass B_AG = a × DBH^b (IPCC 2006 biomass method)
Carbon storage = B_AG × (1 + 0.25) × 0.463 (kg C; IPCC 2006)
Annual carbon uptake (CO₂) = Carbon storage × 44/12 × 4%

The carbon figures shown all come from the backend /stats endpoint (total_carbon_tonnes, annual_co2_kg, etc.). When no backend value exists, an individual tree's detail page falls back to the Brown (1997)[14] biomass equation (a front-end fallback only, not the primary method).

💧 Rainfall Interception (Stormwater Interception)

Estimated from crown vertical projection area. Annual interception = crown projection area × Taipei's average annual rainfall of 2,400 mm × an interception coefficient of 0.08 (Xiao et al., 2000[4]). Crown projection area = π × (crown width ÷ 2)², preferring the government survey's field-measured crown width (about 94% of street trees, 100% of riverside park trees, and about 99% of park trees have a measured crown width); trees without a measurement use crown width ≈ height × 0.4 (Pretzsch et al., 2015[11]).

Annual interception (L) = π × (crown width ÷ 2)² × 2400 × 0.08

Unit conversion: 1 m² × 1 mm = 1 L; ÷ 1000 for m³. This method replaces an earlier version that used a DBH-based lookup table — street trees (94%), riverside trees (100%), and park trees (about 99%) now have measured crown widths.

🍃 Air Pollution Removal

First estimates net PM2.5 removal, then converts it to a health value. Annual removal = crown projection area × a net removal rate of 0.30 g/m²/yr (Nowak et al., 2013[5], measured at 0.13–0.36 g/m² across ten U.S. cities; this rate is per unit of crown projection and already accounts for leaf layers and resuspension, so it is not multiplied by LAI again; a value near the high end is used to reflect Taipei's higher PM2.5 levels and frequent rain-driven washout). The health value uses Nowak et al. (2013)[5]'s ten-city average of US$682,000/tonne (based primarily on statistical value of life from mortality data), converted at an exchange rate of 30 and ÷1000 to ≈ NT$20,000/kg.

PM2.5 removed (g) = π × (crown width ÷ 2)² × 0.30
Health value (NT$) = PM2.5 removed (kg) × 20,000

Prefers the government survey's field-measured crown width; falls back to a height-based estimate otherwise. This method replaces an earlier version that multiplied leaf area by LAI and overestimated by roughly 1–2 orders of magnitude. The health value is a conservative reference based on an international VSL (value of statistical life) benchmark, not an officially certified Taiwan figure.

☂️ Canopy Shade Area

Estimates each tree's shaded area from its crown vertical projection area. Field studies show that surface temperature under tree shade can be 10°C or more lower than on unshaded pavement, with a noticeably lower perceived temperature, and can reduce summer air-conditioning load in nearby buildings (Armson et al., 2012[10]). Crown projection area is also the geometric basis for leaf-area and interception calculations across the i-Tree family of models.

Shade area (m²) = π × (crown width ÷ 2)²

When no measured crown width is available, it is estimated from height as crown width ≈ height × 0.4 (an empirical urban-tree crown-to-height ratio, Pretzsch et al., 2015[11]). Individual tree pages also show a "≈ N parking spaces" conversion (using 12.5 m² per standard car parking space) to help the public grasp the scale of the shade provided.

References
  1. IPCC (2006). 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Vol. 4 (AFOLU), Chapter 4. IGES, Japan. (Biomass method framework, root-to-shoot ratio R = 0.25, carbon fraction CF range)
  2. Lin, Y.-J., Liu, C.-M., & Lin, C.-C. (2002). Measurement of specific gravity and carbon content of major timber species in Taiwan. Taiwan Journal of Forest Science, 17(3), 291–299. (Taiwan-specific timber carbon-content measurements; local support for a carbon fraction CF ≈ 0.463)
  3. Chao, K.-J., Lee, I.-J., Sung, K.-C., Chao, W.-T., Chang, Y.-C.-H., & Chiang, C.-M. (2022). A database of carbon-storage estimation parameters for soil-and-water conservation tree species. Journal of Chinese Soil and Water Conservation, 53(2), 100–110. (Species-specific carbon-storage and biomass parameters for Taiwan)
  4. Xiao, Q., McPherson, E.G., Ustin, S.L., Grismer, M.E., & Simpson, J.R. (2000). Winter rainfall interception by two mature open-grown trees in Davis, California. Hydrological Processes, 14(4), 763–784. (Field-measured urban-tree rainfall interception; this site's interception coefficient of 0.08 is a conservative value drawn from urban-canopy interception research)
  5. Nowak, D.J., Hirabayashi, S., Bodine, A., & Hoehn, R. (2013). Modeled PM2.5 removal by trees in ten U.S. cities and associated health effects. Environmental Pollution, 178, 395–402. (Net PM2.5 removal rate of 0.13–0.36 g/m² of crown projection/year; average health value of US$682,000/tonne) DOI
  6. Nowak, D.J., Hirabayashi, S., Bodine, A., & Greenfield, E. (2014). Tree and forest effects on air quality and human health in the United States. Environmental Pollution, 193, 119–129. DOI
  7. Nowak, D.J., Crane, D.E., & Stevens, J.C. (2006). Air pollution removal by urban trees and shrubs in the United States. Urban Forestry & Urban Greening, 4(3–4), 115–123. DOI
  8. Peper, P.J., McPherson, E.G., & Mori, S.M. (2001). Equations for predicting diameter, height, crown width, and leaf area of San Joaquin Valley street trees. Journal of Arboriculture, 27(6), 306–317.
  9. Nowak, D.J., et al. (2018). US urban forest statistics, values, and projections. Journal of Forestry, 116(2), 164–177. DOI
  10. Armson, D., Stringer, P., & Ennos, A.R. (2012). The effect of tree shade and grass on surface and globe temperatures in an urban area. Urban Forestry & Urban Greening, 11(3), 245–255. DOI
  11. Pretzsch, H., et al. (2015). Crown size and growing space requirement of common tree species in urban centres, parks, and forests. Urban Forestry & Urban Greening, 14(3), 466–479. DOI
  12. i-Tree Tools, USDA Forest Service & Davey Tree Expert Company. https://www.itreetools.org/
  13. Data source: Taipei City Government Public Works Department, Parks and Street Lights Office (2024). Taipei street tree distribution map, protected trees; Hydraulic Engineering Office. Taipei riverside ecological trees. Taipei City Government Open Data Platform (data.taipei), used under the OGDL license.
  14. Brown, S. (1997). Estimating Biomass and Biomass Change of Tropical Forests: A Primer. FAO Forestry Paper 134. Food and Agriculture Organization of the United Nations, Rome. (Above-ground biomass equation; used on this site only as a front-end fallback for individual tree pages when no backend carbon value exists — not the primary method)

⚠️ The benefit figures on this page are academic-model estimates, suitable for policy reference and educational display. Formal carbon-credit trading, ESG reporting, or regulatory inventories still require a certified body to conduct a full field survey.