Evidence map›Paper›PMID 37291110›Full record

ArticleNature communications2023

Reassessment of growth-climate relations indicates the potential for decline across Eurasian boreal larch forests.

Wenqing Li, Rubén D Manzanedo, Yuan Jiang, Wenqiu Ma, Enzai Du, Shoudong Zhao, Tim Rademacher, Manyu Dong, Hui Xu, Xinyu Kang and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Boreal forests are heading for an open state.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

14 authors.

Wenqing LiBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, Zhuhai, 519087, China.ORCID 0000-0002-3436-3374
Rubén D ManzanedoHarvard Forest, Harvard University, Petersham, MA, 01366, USA.
Yuan JiangBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, Zhuhai, 519087, China. jiangy@bnu.edu.cn.ORCID 0000-0002-4285-8262
Wenqiu MaCollege of Engineering, China Agricultural University, Beijing, 100083, China.
Enzai DuState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0002-5519-0150
Shoudong ZhaoState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Tim RademacherHarvard Forest, Harvard University, Petersham, MA, 01366, USA.ORCID 0000-0002-0627-6564
Manyu DongBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, Zhuhai, 519087, China.
Hui XuDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Xinyu KangDepartment of Mathematics and Statistics, Boston University, 111 Cummington Mall, Boston, MA, 02215, USA.
Jun WangKey Laboratory of Land Consolidation and Rehabilitation, Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing, 100035, China.
Fang WuBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, Zhuhai, 519087, China.
Xuefeng CuiSchool of Systems Science, Beijing Normal University, Beijing, 100875, China.
Neil PedersonHarvard Forest, Harvard University, Petersham, MA, 01366, USA.ORCID 0000-0003-3830-263X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Larch, a widely distributed tree in boreal Eurasia, is experiencing rapid warming across much of its distribution. A comprehensive assessment of growth on warming is needed to comprehend the potential impact of climate change. Most studies, relying on rigid calendar-based temperature series, have detected monotonic responses at the margins of boreal Eurasia, but not across the region. Here, we developed a method for constructing temporally flexible and physiologically relevant temperature series to reassess growth-temperature relations of larch across boreal Eurasia. Our method appears more effective in assessing the impact of warming on growth than previous methods. Our approach indicates widespread and spatially heterogeneous growth-temperature responses that are driven by local climate. Models quantifying these results project that the negative responses of growth to temperature will spread northward and upward throughout this century. If true, the risks of warming to boreal Eurasia could be more widespread than conveyed from previous works.

Indexed as

LarixClimate ChangeForestsTaigaTemperatureTrees

Identifiers

PMID37291110
PMCPMC10250375

What OpenQuestion holds

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LicenceCC BY
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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.