Evidence map›Paper›PMID 33846246›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Widespread decline in winds delayed autumn foliar senescence over high latitudes.

Chaoyang Wu, Jian Wang, Philippe Ciais, Josep Peñuelas, Xiaoyang Zhang, Oliver Sonnentag, Feng Tian, Xiaoyue Wang, Huanjiong Wang, Ronggao Liu and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
9.3field-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

12 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Warming-induced tipping points of Arctic and alpine shrub recruitment.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

12 authors at 8 institutions in 5 countries.

Chaoyang WuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; wucy@igsnrr.ac.cn wang.12679@osu.edu geqs@igsnrr.ac.cn.ORCID 0000-0001-6163-8209
Jian WangDepartment of Geography, The Ohio State University, Columbus, OH 43210; wucy@igsnrr.ac.cn wang.12679@osu.edu geqs@igsnrr.ac.cn.ORCID 0000-0003-0813-5965
Philippe CiaisIPSL-LSCE CEA CNRS UVSQ, Laboratoire des Sciences du Climat et de l'Environnement, 91191 Gif-sur-Yvette, France.
Josep PeñuelasGlobal Ecology Unit CREAF-CSIC-UAB, CSIC, Barcelona 08193, Spain.ORCID 0000-0002-7215-0150
Xiaoyang ZhangGeospatial Sciences Center of Excellence, Department of Geography, South Dakota State University, Brookings, SD 57007-3510.ORCID 0000-0001-8456-0547
Oliver SonnentagDépartement de géographie and Centre d'études nordiques, Université de Montréal, Montréal, QC H2V 2B8, Canada.
Feng TianSchool of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, China.ORCID 0000-0002-9686-2769
Xiaoyue WangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Huanjiong WangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-2325-0120
Ronggao LiuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Yongshuo H FuCollege of Water Sciences, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-9761-5292
Quansheng GeThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; wucy@igsnrr.ac.cn wang.12679@osu.edu geqs@igsnrr.ac.cn.
Chinese Academy of Sciences · CNBeijing Normal University · CNCenter for Northern Studies · CACentre for Research on Ecology and Forestry Applications · ESCentre National de la Recherche Scientifique · FRSouth Dakota State University · USThe Ohio State University · USWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high northern latitudes (>50°) experienced a pronounced surface stilling (i.e., decline in winds) with climate change. As a drying factor, the influences of changes in winds on the date of autumn foliar senescence (DFS) remain largely unknown and are potentially important as a mechanism explaining the interannual variability of autumn phenology. Using 183,448 phenological observations at 2,405 sites, long-term site-scale water vapor and carbon dioxide flux measurements, and 34 y of satellite greenness data, here we show that the decline in winds is significantly associated with extended DFS and could have a relative importance comparable with temperature and precipitation effects in contributing to the DFS trends. We further demonstrate that decline in winds reduces evapotranspiration, which results in less soil water losses and consequently more favorable growth conditions in late autumn. In addition, declining winds also lead to less leaf abscission damage which could delay leaf senescence and to a decreased cooling effect and therefore less frost damage. Our results are potentially useful for carbon flux modeling because an improved algorithm based on these findings projected overall widespread earlier DFS than currently expected by the end of this century, contributing potentially to a positive feedback to climate.

Indexed as

WindAltitudeCarbon CycleChinaClimateClimate ChangeEcosystemPlant LeavesRemote Sensing TechnologySeasonsTemperatureTreesWeatherclimate changefoliar senescencehigh latitudes

Identifiers

PMID33846246
PMCPMC8072329
OpenAlexW3154477431

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.