Evidence map›Paper›PMID 30515662›Full record

ArticleOecologia2019

Size-growth asymmetry is not consistently related to productivity across an eastern US temperate forest network.

Alex Dye, M Ross Alexander, Daniel Bishop, Daniel Druckenbrod, Neil Pederson, Amy Hessl

Abstract read
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In one paragraph

Article in Oecologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alex DyeDepartment of Geology and Geography, West Virginia University, Morgantown, WV, USA. aldye@mix.wvu.edu.ORCID http://orcid.org/0000-0003-3469-5608
M Ross AlexanderHarvard Forest, Harvard University, Petersham, MA, USA.
Daniel BishopHarvard Forest, Harvard University, Petersham, MA, USA.
Daniel DruckenbrodDepartment of Geological, Environmental, and Marine Sciences, Rider University, Lawrenceville, NJ, USA.
Neil PedersonHarvard Forest, Harvard University, Petersham, MA, USA.
Amy HesslDepartment of Geology and Geography, West Virginia University, Morgantown, WV, USA.

Funding

National Science Foundation 1241930U.S. Department of Energy SC0016011
6 · The paper itself

Abstract

Modeling and forecasting forests as carbon sinks require that we understand the primary factors affecting productivity. One factor thought to be positively related to stand productivity is the degree of asymmetry, or the slope of the relationship between tree size and biomass growth. Steeper slopes indicate disproportionate productivity of big trees relative to small trees. Theoretically, big trees outcompete smaller trees during favorable growth conditions because they maintain better access to light. For this reason, high productivity forests are expected to have asymmetric growth. However, empirical studies do not consistently support this expectation, and those that do are limited in spatial or temporal scope. Here, we analyze size-growth relationships from 1970 to 2011 across a diverse network of forest sites in the eastern United States (n = 16) to test whether asymmetry is consistently related to productivity. To investigate this relationship, we analyze asymmetry-productivity relationships between our 16 forests at non-overlapping annual, 2-, 5-, 10-, and 20-year sampling intervals and find that asymmetry is negatively related to productivity, but the strength depends on the specific interval considered. Within-site temporal variability in asymmetry and productivity are generally positively correlated over time, except at the 5-year remeasurement interval. Rather than confirming or failing to support a positive relationship between asymmetry and productivity, our findings suggest caution interpreting these metrics since the relationship varies across forest types and temporal scales.

Indexed as

ForestsTreesBiomassAsymmetryBasal area growthDendroecologyProductivityTemperate forests

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.