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A tree-ring perspective on the terrestrial carbon cycle

Overview of attention for article published in Oecologia, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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2 news outlets
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12 X users
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1 Facebook page

Citations

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135 Dimensions

Readers on

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349 Mendeley
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1 CiteULike
Title
A tree-ring perspective on the terrestrial carbon cycle
Published in
Oecologia, August 2014
DOI 10.1007/s00442-014-3031-6
Pubmed ID
Authors

Flurin Babst, M. Ross Alexander, Paul Szejner, Olivier Bouriaud, Stefan Klesse, John Roden, Philippe Ciais, Benjamin Poulter, David Frank, David J. P. Moore, Valerie Trouet

Abstract

Tree-ring records can provide valuable information to advance our understanding of contemporary terrestrial carbon cycling and to reconstruct key metrics in the decades preceding monitoring data. The growing use of tree rings in carbon-cycle research is being facilitated by increasing recognition of reciprocal benefits among research communities. Yet, basic questions persist regarding what tree rings represent at the ecosystem level, how to optimally integrate them with other data streams, and what related challenges need to be overcome. It is also apparent that considerable unexplored potential exists for tree rings to refine assessments of terrestrial carbon cycling across a range of temporal and spatial domains. Here, we summarize recent advances and highlight promising paths of investigation with respect to (1) growth phenology, (2) forest productivity trends and variability, (3) CO2 fertilization and water-use efficiency, (4) forest disturbances, and (5) comparisons between observational and computational forest productivity estimates. We encourage the integration of tree-ring data: with eddy-covariance measurements to investigate carbon allocation patterns and water-use efficiency; with remotely sensed observations to distinguish the timing of cambial growth and leaf phenology; and with forest inventories to develop continuous, annually-resolved and long-term carbon budgets. In addition, we note the potential of tree-ring records and derivatives thereof to help evaluate the performance of earth system models regarding the simulated magnitude and dynamics of forest carbon uptake, and inform these models about growth responses to (non-)climatic drivers. Such efforts are expected to improve our understanding of forest carbon cycling and place current developments into a long-term perspective.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Canada 2 <1%
Spain 2 <1%
Taiwan 1 <1%
Mexico 1 <1%
Unknown 336 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 87 25%
Student > Ph. D. Student 82 23%
Student > Master 41 12%
Student > Doctoral Student 26 7%
Student > Bachelor 16 5%
Other 43 12%
Unknown 54 15%
Readers by discipline Count As %
Environmental Science 118 34%
Agricultural and Biological Sciences 79 23%
Earth and Planetary Sciences 48 14%
Social Sciences 5 1%
Engineering 5 1%
Other 19 5%
Unknown 75 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 26 October 2022.
All research outputs
#1,470,316
of 24,174,783 outputs
Outputs from Oecologia
#165
of 4,373 outputs
Outputs of similar age
#15,161
of 235,580 outputs
Outputs of similar age from Oecologia
#6
of 69 outputs
Altmetric has tracked 24,174,783 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,373 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 96% 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 235,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.