Evidence map›Paper›PMID 38990886›Full record

ArticlePloS one2024

Large-scale determinants of street tree growth rates across an urban environment.

Brian J Mailloux, Clare McGillis, Terryanne Maenza-Gmelch, Patricia J Culligan, Mike Z He, Gabriella Kaspi, Madeline Miley, Ella Komita-Moussa, Tiffany R Sanchez, Ella Steiger and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Brian J MaillouxEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Clare McGillisDepartment of Civil Engineering & Engineering Mechanics, Columbia University, New York, NY, United States of America.
Terryanne Maenza-GmelchEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Patricia J CulliganDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America.
Mike Z HeDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.ORCID 0000-0003-2357-3883
Gabriella KaspiEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Madeline MileyEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Ella Komita-MoussaEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Tiffany R SanchezDepartment of Environment Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Ella SteigerEnvironmental Science Department, Barnard College, New York, NY, United States of America.
Haokai ZhaoDepartment of Civil Engineering & Engineering Mechanics, Columbia University, New York, NY, United States of America.ORCID 0000-0002-6868-4379
Elizabeth M CookEnvironmental Science Department, Barnard College, New York, NY, United States of America.ORCID 0000-0002-4290-7482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CitiesTreesForestsNew York City

Identifiers

PMID38990886
PMCPMC11239067

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.