Tree and Impervious Cover Change in U.S. Cities
A sunny day, a sweltering street, a shady tree. Studies have shown that residents of cities and towns benefit both monetarily and psychologically from tree-filled neighborhoods and quiet parks: Air quality improves, stress is lower and houses are worth more. The greening of urban spaces has even been shown to have a relationship with reduced crime rates and better health and safety outcomes.
A 2012 study published in Urban Forestry & Urban Greening, “Tree and Impervious Cover Change in U.S. Cities,” looked at 20 U.S. metropolitan areas. The researchers, from the U.S. Forest Service and the SUNY College of Environmental Science and Forestry, analyzed aerial photographs spanning periods from four to six years to determine shifts between greenery and impervious surfaces such as buildings, parking lots and roads.
- In the cities examined, tree and/or shrub cover ranged from a high of 53.9% in Atlanta (2005) to a low of 9.6% in Denver (2009).
- The highest rate of impervious surface coverage was 61.1%, in New York City (2009), and the lowest 17.7 %, in Nashville (2003). The highest rate of building surface area was 27.1% in Chicago (2005) and the lowest in Kansas City, 4.8% (2003). Roads, parking lots and other impervious surfaces covered 36.2% of Miami and just 12.3% of Nashville (both 2003).
- Over the periods studied, cities’ tree, shrub and soil cover generally fell, while other categories of cover tended to increase. “Nineteen of the 20 cities analyzed showed a reduction in tree cover, 17 of those cities had a statistically significant net reduction.”
- Excluding New Orleans and Detroit, which were expected to have reduced greenery, the average tree cover dropped by 1.1% during the varying periods of analysis (the 20-city average was 1.5%). “The greatest decreases in coverage [were] in New Orleans (-9.6%), Houston (-3.0%) and Albuquerque (-2.7%). The relative reduction in tree cover was as high as -29.2% in New Orleans, but averaged -3.8% (-5.0% for 20-city average).”
- The city with the greatest annual loss in tree cover was New Orleans, with an average loss of 1,120 hectares per year. Next were Houston and Albuquerque, with declines of 890 and 420 hectares per year, respectively.
- The greatest per-capita decline was also in New Orleans, which lost 24.6 square meters each year for every city resident. Next were Albuquerque (-8.3) and Nashville (-5.3). The average loss was 1.9 square meters per person per year (-3.0 for the 20-city average).
- Most of the areas originally with trees were converted to grass (47%), followed by impervious cover such as buildings, roads and parking lots (29%), and bare soil (23%).
- The greatest annual increase in impervious cover was in Los Angeles, with an average of 550 hectares per year. Next came Houston (400) and Albuquerque (280). Per-capita increases were highest in Tacoma (6 square meters per person per year), Kansas City (5.9) and Albuquerque (5.). The average increase in impervious cover was 2.2 square meters per person per year (2.1 for 20-city average).
- “Loss of tree cover was slightly correlated to increased population density in the 18 cities.”
“While cities expend resources to plant millions of new trees, land development, storms, old age and other factors are reducing the number of older, established trees in cities,” the researchers state. They suggest that “developing coordinated healthy tree canopy programs across various land ownerships can help sustain desired tree cover levels and better manage cover change.”
Read the issue-related New York Times article titled "City Moves to Restrict Front-Yard Driveways."
- What key insights from the study should reporters be aware of as they cover these issues?
Read the full study titled "Tree and Impervious Cover Change in U.S. Cities."
- What are the study's key technical term(s)? Which ones need to be put into language a lay audience can understand?
- Do the study’s authors put the research into context and show how they are advancing the state of knowledge about the subject? If so, what did the previous research indicate?
- What is the study’s research method? If there are statistical results, how did the scholars arrive at them?
- Evaluate the study's limitations. (For example, are there weaknesses in the study's data or research design?)
- How could the findings be misreported or misinterpreted by a reporter? In other words, what are the difficulties in conveying the data accurately? Give an example of a faulty headline or story lead.
Newswriting and digital reporting assignments
- Write a lead, headline or nut graph based on the study.
- Spend 60 minutes exploring the issue by accessing sources of information other than the study. Write a lead (or headline or nut graph) based on the study but informed by the new information. Does the new information significantly change what one would write based on the study alone?
- Compose two Twitter messages of 140 characters or fewer accurately conveying the study’s findings to a general audience. Make sure to use appropriate hashtags.
- Choose several key quotations from the study and show how they would be set up and used in a brief blog post.
- Map out the structure for a 60-second video segment about the study. What combination of study findings and visual aids could be used?
- Find pictures and graphics that might run with a story about the study. If appropriate, also find two related videos to embed in an online posting. Be sure to evaluate the credibility and appropriateness of any materials you would aggregate and repurpose.
Class discussion questions
- What is the study’s most important finding?
- Would members of the public intuitively understand the study’s findings? If not, what would be the most effective way to relate them?
- What kinds of knowledgeable sources you would interview to report the study in context?
- How could the study be “localized” and shown to have community implications?
- How might the study be explained through the stories of representative individuals? What kinds of people might a reporter feature to make such a story about the study come alive?
- What sorts of stories might be generated out of secondary information or ideas discussed in the study?