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Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, September 2014
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430 Mendeley
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Title
Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots
Published in
Proceedings of the National Academy of Sciences of the United States of America, September 2014
DOI 10.1073/pnas.1216053111
Pubmed ID
Authors

Peter B. Reich, Yunjian Luo, John B. Bradford, Hendrik Poorter, Charles H. Perry, Jacek Oleksyn

Abstract

Whether the fraction of total forest biomass distributed in roots, stems, or leaves varies systematically across geographic gradients remains unknown despite its importance for understanding forest ecology and modeling global carbon cycles. It has been hypothesized that plants should maintain proportionally more biomass in the organ that acquires the most limiting resource. Accordingly, we hypothesize greater biomass distribution in roots and less in stems and foliage in increasingly arid climates and in colder environments at high latitudes. Such a strategy would increase uptake of soil water in dry conditions and of soil nutrients in cold soils, where they are at low supply and are less mobile. We use a large global biomass dataset (>6,200 forests from 61 countries, across a 40 °C gradient in mean annual temperature) to address these questions. Climate metrics involving temperature were better predictors of biomass partitioning than those involving moisture availability, because, surprisingly, fractional distribution of biomass to roots or foliage was unrelated to aridity. In contrast, in increasingly cold climates, the proportion of total forest biomass in roots was greater and in foliage was smaller for both angiosperm and gymnosperm forests. These findings support hypotheses about adaptive strategies of forest trees to temperature and provide biogeographically explicit relationships to improve ecosystem and earth system models. They also will allow, for the first time to our knowledge, representations of root carbon pools that consider biogeographic differences, which are useful for quantifying whole-ecosystem carbon stocks and cycles and for assessing the impact of climate change on forest carbon dynamics.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 430 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
Germany 3 <1%
United States 2 <1%
Finland 1 <1%
Czechia 1 <1%
Colombia 1 <1%
Argentina 1 <1%
Canada 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 414 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 104 24%
Researcher 91 21%
Student > Master 48 11%
Student > Bachelor 31 7%
Professor > Associate Professor 21 5%
Other 60 14%
Unknown 75 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 33%
Environmental Science 114 27%
Earth and Planetary Sciences 44 10%
Engineering 7 2%
Economics, Econometrics and Finance 3 <1%
Other 20 5%
Unknown 100 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 April 2015.
All research outputs
#6,616,067
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#58,204
of 101,438 outputs
Outputs of similar age
#63,515
of 251,699 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#605
of 909 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 42nd percentile – i.e., 42% 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 251,699 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 74% of its contemporaries.
We're also able to compare this research output to 909 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.