Evidence map›Paper›PMID 33398156›Full record

ArticleNature plants2021

Dynamic allometric scaling of tree biomass and size.

Xiaolu Zhou, Mingxia Yang, Zelin Liu, Peng Li, Binggeng Xie, Changhui Peng

Abstract read
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In one paragraph

Article in Nature plants, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
12.0field-weighted citation impact, top 1% of its field
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

14 citing papers in PubMed, 61 citations in OpenAlex.

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  12. Biomass allometric models forFrontiers in plant science · 2022
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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 at 2 institutions in 2 countries.

Xiaolu ZhouCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China. zhoux1977@163.com.ORCID http://orcid.org/0000-0002-3086-6847
Mingxia YangCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China.
Zelin LiuCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China.
Peng LiCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China.
Binggeng XieCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China.
Changhui PengCollege of Resources and Environmental Science, Hunan Normal University, Changsha, China. peng.changhui@uqam.ca.ORCID http://orcid.org/0000-0003-2037-8097
Hunan Normal University · CNUniversité du Québec à Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allometric scaling laws critically examine structure-function relationships. In estimating the forest biomass carbon and its response under climate change, the issue of scaling has resulted in difficulties when modelling the biomass for different-sized trees, especially large ones, and has not yet been solved in either theory or practice. Here, we propose the concept of a dynamic allometric scaling relationship between stem biomass and above-ground biomass The allometric curve approaches an asymptote with an increase in tree size. An asymptotic allometric equation is presented that has a better fit to the data than the simple power-law allometric equation. The non-constant exponent is determined by the change in the biomass ratio for different organs and is governed by the dynamic allometric coefficient. This study presents a methodological framework to theoretically characterize allometric relationships and provides new insights in understanding the general scaling pattern and carbon sequestration capacity of large trees across global forests.

Indexed as

BiomassCarbon SequestrationForestsModels, BiologicalTrees

Identifiers

PMID33398156
OpenAlexW3118788928

What OpenQuestion holds

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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.