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Forecasting Urban Forest Ecosystem Structure, Function, and Vulnerability

Overview of attention for article published in Environmental Management, October 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Citations

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42 Dimensions

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140 Mendeley
Title
Forecasting Urban Forest Ecosystem Structure, Function, and Vulnerability
Published in
Environmental Management, October 2016
DOI 10.1007/s00267-016-0782-3
Pubmed ID
Authors

James W. N. Steenberg, Andrew A. Millward, David J. Nowak, Pamela J. Robinson, Alexis Ellis

Abstract

The benefits derived from urban forest ecosystems are garnering increasing attention in ecological research and municipal planning. However, because of their location in heterogeneous and highly-altered urban landscapes, urban forests are vulnerable and commonly suffer disproportionate and varying levels of stress and disturbance. The objective of this study is to assess and analyze the spatial and temporal changes, and potential vulnerability, of the urban forest resource in Toronto, Canada. This research was conducted using a spatially-explicit, indicator-based assessment of vulnerability and i-Tree Forecast modeling of temporal changes in forest structure and function. Nine scenarios were simulated for 45 years and model output was analyzed at the ecosystem and municipal scale. Substantial mismatches in ecological processes between spatial scales were found, which can translate into unanticipated loss of function and social inequities if not accounted for in planning and management. At the municipal scale, the effects of Asian longhorned beetle and ice storm disturbance were far less influential on structure and function than changes in management actions. The strategic goals of removing invasive species and increasing tree planting resulted in a decline in carbon storage and leaf biomass. Introducing vulnerability parameters in the modeling increased the spatial heterogeneity in structure and function while expanding the disparities of resident access to ecosystem services. There was often a variable and uncertain relationship between vulnerability and ecosystem structure and function. Vulnerability assessment and analysis can provide strategic planning initiatives with valuable insight into the processes of structural and functional change resulting from management intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 <1%
France 1 <1%
Unknown 138 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 16%
Student > Ph. D. Student 20 14%
Student > Master 19 14%
Student > Bachelor 12 9%
Professor 7 5%
Other 18 13%
Unknown 42 30%
Readers by discipline Count As %
Environmental Science 50 36%
Agricultural and Biological Sciences 20 14%
Earth and Planetary Sciences 4 3%
Medicine and Dentistry 4 3%
Business, Management and Accounting 3 2%
Other 15 11%
Unknown 44 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 October 2016.
All research outputs
#7,713,861
of 25,373,627 outputs
Outputs from Environmental Management
#653
of 1,914 outputs
Outputs of similar age
#107,301
of 320,942 outputs
Outputs of similar age from Environmental Management
#10
of 28 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.