The tree cover and temperature disparity in US urbanized areas: Quantifying the association with income across 5,723 communities

PLoS One. 2021 Apr 28;16(4):e0249715. doi: 10.1371/journal.pone.0249715. eCollection 2021.

Abstract

Urban tree cover provides benefits to human health and well-being, but previous studies suggest that tree cover is often inequitably distributed. Here, we use National Agriculture Imagery Program digital ortho photographs to survey the tree cover inequality for Census blocks in US large urbanized areas, home to 167 million people across 5,723 municipalities and other Census-designated places. We compared tree cover to summer land surface temperature, as measured using Landsat imagery. In 92% of the urbanized areas surveyed, low-income blocks have less tree cover than high-income blocks. On average, low-income blocks have 15.2% less tree cover and are 1.5⁰C hotter than high-income blocks. The greatest difference between low- and high-income blocks was found in urbanized areas in the Northeast of the United States, where low-income blocks in some urbanized areas have 30% less tree cover and are 4.0⁰C hotter. Even after controlling for population density and built-up intensity, the positive association between income and tree cover is significant, as is the positive association between proportion non-Hispanic white and tree cover. We estimate, after controlling for population density, that low-income blocks have 62 million fewer trees than high-income blocks, equal to a compensatory value of $56 billion ($1,349/person). An investment in tree planting and natural regeneration of $17.6 billion would be needed to close the tree cover disparity, benefitting 42 million people in low-income blocks.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Cities / economics
  • Cities / statistics & numerical data
  • Conservation of Natural Resources / statistics & numerical data*
  • Demography / classification
  • Demography / economics
  • Demography / statistics & numerical data
  • Humans
  • Income / statistics & numerical data*
  • Population Density
  • Residence Characteristics / statistics & numerical data*
  • Temperature
  • Trees / growth & development*
  • United States
  • Urbanization