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Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions

Overview of attention for article published in Carbon Balance and Management, February 2014
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Title
Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions
Published in
Carbon Balance and Management, February 2014
DOI 10.1186/1750-0680-9-1
Pubmed ID
Authors

Fabián B Gálvez, Andrew T Hudak, John C Byrne, Nicholas L Crookston, Robert F Keefe

Abstract

Forest resources supply a wide range of environmental services like mitigation of increasing levels of atmospheric carbon dioxide (CO2). As climate is changing, forest managers have added pressure to obtain forest resources by following stand management alternatives that are biologically sustainable and economically profitable. The goal of this study is to project the effect of typical forest management actions on forest C levels, given a changing climate, in the Moscow Mountain area of north-central Idaho, USA. Harvest and prescribed fire management treatments followed by plantings of one of four regionally important commercial tree species were simulated, using the climate-sensitive version of the Forest Vegetation Simulator, to estimate the biomass of four different planted species and their C sequestration response to three climate change scenarios.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 9 18%
Student > Master 8 16%
Other 6 12%
Professor > Associate Professor 4 8%
Other 6 12%
Unknown 6 12%
Readers by discipline Count As %
Environmental Science 20 40%
Earth and Planetary Sciences 9 18%
Agricultural and Biological Sciences 7 14%
Social Sciences 2 4%
Psychology 1 2%
Other 2 4%
Unknown 9 18%
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 18 February 2014.
All research outputs
#15,294,762
of 22,745,803 outputs
Outputs from Carbon Balance and Management
#170
of 236 outputs
Outputs of similar age
#189,513
of 307,195 outputs
Outputs of similar age from Carbon Balance and Management
#1
of 1 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 307,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them