Evidence map›Paper›PMID 33060622›Full record

ArticleScientific reports2020

New 3D measurements of large redwood trees for biomass and structure.

Mathias Disney, Andrew Burt, Phil Wilkes, John Armston, Laura Duncanson

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Giant sequoia (Royal Society open science · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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

5 authors.

Mathias DisneyUCL Geography, Gower Street, London, WC1E 6BT, UK. m.disney@ucl.ac.uk.
Andrew BurtUCL Geography, Gower Street, London, WC1E 6BT, UK.
Phil WilkesUCL Geography, Gower Street, London, WC1E 6BT, UK.
John ArmstonDepartment of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD, 20742, USA.
Laura DuncansonDepartment of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD, 20742, USA.

Funding

NASA 15-CMS15-0055
6 · The paper itself

Abstract

Large trees are disproportionately important in terms of their above ground biomass (AGB) and carbon storage, as well as their wider impact on ecosystem structure. They are also very hard to measure and so tend to be underrepresented in measurements and models of AGB. We show the first detailed 3D terrestrial laser scanning (TLS) estimates of the volume and AGB of large coastal redwood Sequoia sempervirens trees from three sites in Northern California, representing some of the highest biomass ecosystems on Earth. Our TLS estimates agree to within 2% AGB with a species-specific model based on detailed manual crown mapping of 3D tree structure. However TLS-derived AGB was more than 30% higher compared to widely-used general (non species-specific) allometries. We derive an allometry from TLS that spans a much greater range of tree size than previous models and so is potentially better-suited for use with new Earth Observation data for these exceptionally high biomass areas. We suggest that where possible, TLS and crown mapping should be used to provide complementary, independent 3D structure measurements of these very large trees.

Indexed as

BiomassBiometryCarbonEcological Parameter MonitoringEcosystemForestsLasersLightSequoiaCarbon

Identifiers

PMID33060622
PMCPMC7566452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.