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Modeling rates of life form cover change in burned and unburned alpine heathland subject to experimental warming

Overview of attention for article published in Oecologia, February 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Modeling rates of life form cover change in burned and unburned alpine heathland subject to experimental warming
Published in
Oecologia, February 2015
DOI 10.1007/s00442-015-3261-2
Pubmed ID
Authors

James S. Camac, Richard J. Williams, Carl-Henrik Wahren, Frith Jarrad, Ary A. Hoffmann, Peter A. Vesk

Abstract

Elevated global temperatures are expected to alter vegetation dynamics by interacting with physiological processes, biotic relationships and disturbance regimes. However, few studies have explicitly modeled the effects of these interactions on rates of vegetation change, despite such information being critical to forecasting temporal patterns in vegetation dynamics. In this study, we build and parameterize rate-change models for three dominant alpine life forms using data from a 7-year warming experiment. These models allowed us to examine how the interactions between experimental warming, the abundance of bare ground (a measure of past disturbance) and neighboring life forms (a measure of life form interaction) affect rates of cover change in alpine shrubs, graminoids and forbs. We show that experimental warming altered rates of life form cover change by reducing the negative effects of neighboring life forms and positive effects of bare ground. Furthermore, we show that our models can predict the observed direction and rate of life form cover change at burned and unburned long-term monitoring sites. Model simulations revealed that warming in unburned vegetation is expected to result in increased forb and shrub cover and decreased graminoid cover. In contrast, in burned vegetation, warming is predicted to slow post-fire regeneration in both graminoids and forbs and facilitate rapid expansion in shrub cover. These findings illustrate the applicability of modeling rates of vegetation change using experimental data. Our results also highlight the need to account for both disturbance and the abundance of other life forms when examining and forecasting vegetation dynamics under climatic change.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Ghana 1 2%
Australia 1 2%
South Africa 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 11 20%
Student > Master 7 13%
Student > Bachelor 5 9%
Other 4 7%
Other 4 7%
Unknown 11 20%
Readers by discipline Count As %
Environmental Science 22 41%
Agricultural and Biological Sciences 10 19%
Social Sciences 4 7%
Engineering 3 6%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 13 24%
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 08 May 2015.
All research outputs
#7,144,351
of 22,792,160 outputs
Outputs from Oecologia
#1,590
of 4,213 outputs
Outputs of similar age
#81,887
of 254,710 outputs
Outputs of similar age from Oecologia
#22
of 82 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,213 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 61% 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 254,710 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 67% of its contemporaries.
We're also able to compare this research output to 82 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 73% of its contemporaries.