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Isoprene Emission Factors for Subtropical Street Trees for Regional Air Quality Modeling

Overview of attention for article published in Journal of Environmental Quality, January 2016
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Title
Isoprene Emission Factors for Subtropical Street Trees for Regional Air Quality Modeling
Published in
Journal of Environmental Quality, January 2016
DOI 10.2134/jeq2015.01.0051
Pubmed ID
Authors

Kristina A. Dunn‐Johnston, Jürgen Kreuzwieser, Satoshi Hirabayashi, Lyndal Plant, Heinz Rennenberg, Susanne Schmidt

Abstract

Evaluating the environmental benefits and consequences of urban trees supports their sustainable management in cities. Models such as i-Tree Eco enable decision-making by quantifying effects associated with particular tree species. Of specific concern are emissions of biogenic volatile organic compounds, particularly isoprene, that contribute to the formation of photochemical smog and ground level ozone. Few studies have quantified these potential disservices of urban trees, and current models predominantly use emissions data from trees that differ from those in our target region of subtropical Australia. The present study aimed (i) to quantify isoprene emission rates of three tree species that together represent 16% of the inventoried street trees in the target region; (ii) to evaluate outputs of the i-Tree Eco model using species-specific versus currently used, generic isoprene emission rates; and (iii) to evaluate the findings in the context of regional air quality. Isoprene emission rates of (Myrtaceae) and (Proteaceae) were 2.61 and 2.06 µg g dry leaf weight h, respectively, whereas (Sapindaceae) was a nonisoprene emitter. We substituted the generic isoprene emission rates with these three empirical values in i-Tree Eco, resulting in a 182 kg yr (97%) reduction in isoprene emissions, totaling 6284 kg yr when extrapolated to the target region. From these results we conclude that care has to be taken when using generic isoprene emission factors for urban tree models. We recommend that emissions be quantified for commonly planted trees, allowing decision-makers to select tree species with the greatest overall benefit for the urban environment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Researcher 6 18%
Student > Master 5 15%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 10 30%
Readers by discipline Count As %
Environmental Science 11 33%
Agricultural and Biological Sciences 3 9%
Earth and Planetary Sciences 2 6%
Engineering 2 6%
Computer Science 1 3%
Other 3 9%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2015.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from Journal of Environmental Quality
#2,617
of 2,987 outputs
Outputs of similar age
#295,057
of 399,683 outputs
Outputs of similar age from Journal of Environmental Quality
#24
of 36 outputs
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