Source: Laboratories of Margaret Workman and Kimberly Frye - Depaul University
Urban forests broadly include urban parks, street trees, landscaped boulevards, public gardens, river and coastal promenades, greenways, river corridors, wetlands, nature preserves, natural areas, shelterbelts of trees, and working trees at industrial brownfield sites. The history of urban trees begins with trees as landscape embellishment. Today, urban trees are seen as essential components of city infrastructure and critical to human life as food, housing, and other public utilities. Urban trees are now valued for the ecosystem services they provide (e.g., preventing erosion, air pollutant removal, oxygen, shade, etc.). Yet, to efficiently make use of these benefits, trees must reach maturity, as leaf number and size directly affect a tree’s ability to provide ecosystem services. Urban forestry has had to develop its own forestry methods to address the needs and challenges unique to urban trees as compared to their woodland counterparts.
The following excerpt from the USDA Forest Service illustrates the urban tree perspective and policies of federal government:
Urban forests are dynamic ecosystems that provide needed environmental services by cleaning air and water, helping to control storm water, and conserving energy. They add form, structure, beauty and breathing room to urban design, reduce noise, separate incompatible uses, provide places to recreate, strengthen social cohesion, leverage community revitalization, and add economic value to our communities... This natural life support system sustains clean air and water, biodiversity, habitat, nesting and travel corridors for wildlife, and connects people to nature.
The management of urban trees is an interdisciplinary practice involving architecture, landscaping, planning, development, horticulture, etc. One particular discipline involved in forestry is geography, especially through the use of geographical information systems (GIS). GIS is a broad name encompassing any type of database containing geographical or spatial data that can be used to create computer-generated visual representations (e.g., maps). GIS allows for extensive data collection and management through ever-improving user interfaces, increasing the user-friendly quality of very large sets of information that can be accessed by many users. GIS applications range from free software and open access protocols, such as Google Earth, to proprietary systems, like ESRI ArcGIS. Using GIS to create and store geographical information also allows for easy data maintenance, because maps can be quickly updated by adding new information to the database and regenerating the visual output.
An urban forest tree survey is conducted using parkway trees planted between sidewalks and curbs. Data is collected by city block, recording species, health condition, location, land use, and diameter at breast height (dbh) for each tree surveyed.
Tree condition is observational and based on visual assessments of six categories: trunk condition (missing bark and decay), growth rate (twig elongation and length of current year’s growth), structure (dead limbs), insects and disease, crown development (balanced appearance of branches, leaves, and reproductive structures), and life expectancy. Each category has a rating system based on the amount of unhealthy tree features summed together for an overall condition score, which corresponds to a categorical measurement of excellent, very good, good, fair, poor, and very poor.
Location is recorded by postal address and by using geodesic coordinates for longitude and latitude. A GPS receiver is used to determine geodesic locations based on satellite data transmitted to the receiver at each tree’s location.
To quantify the benefits of the urban forest around them, data is entered into a National Tree Benefits Calculator (easily found online and free to use) to determine the dollar value of annual environmental and aesthetic benefits: energy conservation, air quality improvement, CO2 reduction, storm water control, and property value of each tree.
Data is also entered into a Geographical Information System (GIS) for spatial and geospatial statistical analysis of surveyed tree characteristics.
1. Data Collection with GPS Receiver and dbh Tape
2. Entering Data into a GIS
3. National Tree Benefits Calculator
Figure 1. Representative results for street trees found one block.
Figure 2. The Add Data tool on the Standard toolbar.
Figure 3. Point layer at the top of the Table of Contents with the same name as the CSV file.
Trunk Condition Sound and solid Sections of bark missing Extensive decay & hollow |
Condition Score 5 3 1 |
||
Growth Rate (consider species) More than 6" twig elongation 2-6" twig elongation Less than 2" twig elongation |
3 2 1 |
||
Structure Sound One major/several minor limbs dead, broken, missing 2 or more major limbs dead, broken, missing |
5 3 1 |
||
Insect & Disease No pests present 1 pest present 2 or more pests present |
3 2 1 |
||
Crown Development Full & Balanced Full but unbalanced Unbalanced and lacking a full crown |
5 3 1 |
||
Life Expectancy Over 30 years 15-20 years Less than 5 |
5 3 1 |
Condition Class: Excellent: 26-23 Good: 22-19 Fair: 18-14 Poor: 13-10 Very Poor: 9-6 |
Table 1. A table to calculate the condition class of a tree. Each condition score correlates with its description in each category, then all six scores are totaled for a final sum – the condition class.
Figure 1 shows the representative results for street trees found on one block, and a map from urban forestry data entered into GIS can be seen in Figure 4.
The results for using the Tree Benefit Calculator can be found in Table 2. This calculator provides an estimation of the benefits individual street-side trees provide. Once the data from the field investigation is inputted, including zip code, species, diameter, and land-use, the environmental and economic benefit provided by each tree can be seen.
Figure 4. Maps from urban forestry data entered into GIS.
Tree Sample Number | Overall Benefit | Storm Water Management (gallons) |
Property Value | Energy Efficiency (kW/hr) |
Carbon Sequestration (lbs) |
1 | $20 | 173 | $4 | 38 | 109 |
2 | $24 | 217 | $8 | 41 | 133 |
3 | $22 | 161 | $11 | 27 | 113 |
4 | $11 | 69 | $2 | 22 | 74 |
5 | $46 | 356 | $22 | 56 | 169 |
Table 2. The Tree Benefit Calculator results.
Once entered into a GIS, forestry data can be analyzed using geospatial statistics. For example, a Moran’s I geospatial statistical test is a widely used statistic that analyzes for significant geographical clustering of health variables. Moran’s I can be used for forestry data to report dbh values localized to particular areas, indicating different tree growth rates in different locations of the forest. If clustering is significant, a General G geospatial statistical test can additionally reveal whether it is the high or low values that are geographically clustered by reporting which end of the clustering values are concentrated in a geographical area (Figure 5). Significant Moran's I clusters are shown with the General G scores, indicating high dbh values clustered for the good trees and for each species. dbh values are represented by proportionally-sized symbols to illustrate the clustering of high values (large circles) and low values (small diamonds) (Figure 6). Features can be paired in maps to look for meaningful patterns, such as dbh and species, to identify which species tend to grow to maturity more successfully in an urban environment. Clusters of high dbh values indicate older trees that may present near future needs for tree removal or a higher risk area for tree damage caused by storms. High dbh clusters may also indicate areas where trees survive longer and regions of a city receiving higher ecosystem service benefits.
Figure 5. Clusters of dbh sizes for good trees on a map.
Figure 6. High dbh clusters identified on a map.
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