Evidence map›Paper›PMID 41290167›Full record

ArticleProceedings. Biological sciences2025

Long-term recovery of canopy 3D structural diversity following wildfires in the world's largest temperate woodland.

Beibei Zhang, Suzanne M Prober, Alison O'Donnell, Carl R Gosper, Fabian Fischer, Katherine Zdunic, Tommaso Jucker

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Beibei ZhangSchool of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.ORCID 0000-0003-1064-9121
Suzanne M ProberCSIRO Environment, Canberra ACT 2601, Australia.ORCID 0000-0002-6518-239X
Alison O'DonnellCSIRO Environment, Waterford WA 6152, Australia.ORCID 0000-0001-7597-7965
Carl R GosperBiodiversity and Conservation Science, Department of Biodiversity Conservation and Attractions, Kensington WA 6151, Australia.ORCID 0000-0002-0962-5117
Fabian FischerSchool of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.ORCID 0000-0003-2325-9886
Katherine ZdunicBiodiversity and Conservation Science, Department of Biodiversity Conservation and Attractions, Kensington WA 6151, Australia.ORCID 0009-0003-3721-4328
Tommaso JuckerSchool of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.ORCID 0000-0002-0751-6312

Funding

Leverhulme TrustNatural Environment Research Council
6 · The paper itself

Abstract

Wildfires play a major role in shaping the structure and dynamics of many woody ecosystems, with growing concerns that their frequency and intensity are increasing with climate change. However, we lack an understanding of how canopy structure recovers after wildfires, which limits our ability to forecast the long-term impacts of these disturbances on key ecosystem functions such as carbon storage and biodiversity. Using airborne laser scanning data acquired across a 450 year chronosequence of time since fire, we modelled the recovery trajectory of canopy 3D structural diversity across the largest temperate woodland on Earth in Western Australia. We found that canopy height, cover and heterogeneity recovered at varying rates and followed distinct trajectories. Canopies became taller, denser and more vertically homogeneous during the initial 100-150 years following fire. Subsequently, height growth plateaued while canopy cover continuously decreased for several centuries, leading to open and spatially heterogeneous structures in old-growth woodlands. The highly predictable nature of these structural recovery trajectories following wildfires allowed us to develop robust models for mapping stand age based on structural features. Our study paves the way for leveraging emerging remote sensing technologies to track ecosystem recovery from disturbance, thereby guiding management and restoration interventions at scale.

Indexed as

BiodiversityForestsTreesWildfiresClimate ChangeEcosystemWestern Australiacanopy gapscanopy heightdisturbanceLiDARrecoveryremote sensingtree growth and mortalitywildfire

Identifiers

PMID41290167
PMCPMC12646754

What OpenQuestion holds

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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.