Your browser doesn't support javascript.
loading
Large-scale determinants of street tree growth rates across an urban environment.
Mailloux, Brian J; McGillis, Clare; Maenza-Gmelch, Terryanne; Culligan, Patricia J; He, Mike Z; Kaspi, Gabriella; Miley, Madeline; Komita-Moussa, Ella; Sanchez, Tiffany R; Steiger, Ella; Zhao, Haokai; Cook, Elizabeth M.
Afiliación
  • Mailloux BJ; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • McGillis C; Department of Civil Engineering & Engineering Mechanics, Columbia University, New York, NY, United States of America.
  • Maenza-Gmelch T; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • Culligan PJ; Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America.
  • He MZ; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
  • Kaspi G; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • Miley M; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • Komita-Moussa E; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • Sanchez TR; Department of Environment Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
  • Steiger E; Environmental Science Department, Barnard College, New York, NY, United States of America.
  • Zhao H; Department of Civil Engineering & Engineering Mechanics, Columbia University, New York, NY, United States of America.
  • Cook EM; Environmental Science Department, Barnard College, New York, NY, United States of America.
PLoS One ; 19(7): e0304447, 2024.
Article en En | MEDLINE | ID: mdl-38990886
ABSTRACT
Urban street trees offer cities critical environmental and social benefits. In New York City (NYC), a decadal census of every street tree is conducted to help understand and manage the urban forest. However, it has previously been impossible to analyze growth of an individual tree because of uncertainty in tree location. This study overcomes this limitation using a three-step alignment process for identifying individual trees with ZIP Codes, address, and species instead of map coordinates. We estimated individual growth rates for 126,362 street trees (59 species and 19% of 2015 trees) using the difference between diameter at breast height (DBH) from the 2005 and 2015 tree censuses. The tree identification method was verified by locating and measuring the DBH of select trees and measuring a set of trees annually for over 5 years. We examined determinants of tree growth rates and explored their spatial distribution. In our newly created NYC tree growth database, fourteen species have over 1000 unique trees. The three most abundant tree species vary in growth rates; London Planetree (n = 32,056, 0.163 in/yr) grew the slowest compared to Honeylocust (n = 15,967, 0.356 in/yr), and Callery Pear (n = 15,902, 0.334 in/yr). Overall, Silver Linden was the fastest growing species (n = 1,149, 0.510 in/yr). Ordinary least squares regression that incorporated biological factors including size and the local urban form indicated that species was the major factor controlling growth rates, and tree stewardship had only a small effect. Furthermore, tree measurements by volunteer community scientists were as accurate as those made by NYC staff. Examining city wide patterns of tree growth indicates that areas with a higher Social Vulnerability Index have higher than expected growth rates. Continued efforts in street tree planting should utilize known growth rates while incorporating community voices to better provide long-term ecosystem services across NYC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Árboles / Ciudades País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Árboles / Ciudades País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
...