Evidence map›Paper›PMID 40755296›Full record

SynthesisGlobal change biology2025

A Meta-Regression of 18 Wildfire Chronosequences Reveals Key Environmental Drivers and Knowledge Gaps in the Boreal Nitrogen Balance.

Stefan F Hupperts, Frank Berninger, Han Y H Chen, Nicole Fenton, Mélanie Jean, Kajar Köster, Markku Larjavaara, Michelle C Mack, Marie-Charlotte Nilsson, Marjo Palviainen and 5 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

15 authors.

Stefan F HuppertsDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID 0000-0002-9498-5183
Frank BerningerDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.ORCID 0000-0001-7718-1661
Han Y H ChenFaculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada.ORCID 0000-0001-9477-5541
Nicole FentonInstitute for Forest Research, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, Québec, Canada.ORCID 0000-0002-3782-2361
Mélanie JeanDépartement de Biologie, Université de Moncton, Moncton, New Brunswick, Canada.ORCID 0000-0002-7393-5566
Kajar KösterDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.ORCID 0000-0003-1988-5788
Markku LarjavaaraDepartment of Forest Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3484-889X
Michelle C MackCenter for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA.ORCID 0000-0003-1279-4242
Marie-Charlotte NilssonDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID 0000-0002-9254-2223
Marjo PalviainenDepartment of Forest Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9963-4748
Anatoly ProkushkinV.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russia.ORCID 0000-0001-8721-2142
Jukka PumpanenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0003-4879-3663
Meelis SeedreFaculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada.ORCID 0000-0002-3635-6354
Martin SimardDepartment of Geography, Centre for Forest Research, Laval University, Quebec City, Québec, Canada.ORCID 0000-0002-6174-0657
Michael J GundaleDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID 0000-0003-2447-609X

Funding

Kempe Foundation JCK-1911Vetenskapsrådet 2020-03908
6 · The paper itself

Abstract

Climate change has increased the size and frequency of wildfires across the boreal biome. Severe wildfires in boreal forests have been found to trigger shifts from evergreen to deciduous canopies, which has cascading effects on carbon and nitrogen cycling. Ecosystem productivity and carbon uptake in boreal forests are strongly linked with nitrogen, and Earth system models increasingly depend on our understanding of the nitrogen balance to predict post-fire carbon uptake. To investigate the post-fire boreal nitrogen balance, we combined a mass balance approach and literature synthesis to estimate rates of nitrogen accumulation and nitrogen inputs across a network of 18 boreal wildfire chronosequences that varied in both wildfire regime and post-fire canopy type, comprising 527 forest stands. We found that deciduous- or mixed-dominance boreal forests establishing after severe, stand-replacing fires had the highest nitrogen accumulation rates (15.7 ± 3.8 kg ha

Indexed as

Climate ChangeNitrogenNitrogen CycleTaigaWildfiresEcosystemForestsNitrogenbiological nitrogen fixationboreal forestdeciduousfire regimenitrogen accumulationnitrogen stocks

Identifiers

PMID40755296
PMCPMC12319645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.