Evidence map›Paper›PMID 36699565›Full record

ArticleEcology and evolution2023

Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China.

Yiwen Liu, Xiangjin Shen, Jiaqi Zhang, Yanji Wang, Liyuan Wu, Rong Ma, Xianguo Lu, Ming Jiang

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  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

8 authors at 1 institution in 1 country.

Yiwen LiuNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Xiangjin ShenNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.ORCID https://orcid.org/0000-0002-2967-6288
Jiaqi ZhangNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Yanji WangNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Liyuan WuNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Rong MaNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Xianguo LuNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Ming JiangNortheast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China.
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sanjiang Plain is the largest marsh distribution area of China, and marshes in this region significantly affect regional carbon cycle and biodiversity protection. The vegetation phenology of marsh significantly affects the energy exchange and carbon cycle in that region. Under the influence of global climatic change, identifying the changes in phenology and their responses to climatic variation in marshes of Sanjiang Plain is essential for predicting the carbon stocks of marsh ecosystem in that region. Using climate and NDVI data, this paper analyzed the spatiotemporal variations in the start (SOS), end (EOS), and length (LOS) of vegetation growing season and explored the impacts of climatic variation on vegetation phenology in marshes of Sanjiang Plain. Results showed that the SOS advanced by 0.30 days/a, and EOS delayed by 0.23 days/a, causing LOS to increase significantly (

Indexed as

climatic changemarshphenologyresponseSanjiang Plainvegetation

Identifiers

PMID36699565
PMCPMC9848817
OpenAlexW4318166982

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.