Evidence map›Paper›PMID 41531923›Full record

ArticleEcology and evolution2026

Variational Characteristics of Vegetation Recovery Period Under Extreme Drought Across Various Land Cover Types in Guizhou Province, China.

Yingqing Cen, Xu Xue, Jiamin Yang, Chuncan Meng

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. 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
–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. 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

4 authors.

Yingqing CenDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.
Xu XueDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.ORCID https://orcid.org/0000-0002-1118-9182
Jiamin YangDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.
Chuncan MengDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought, a recurring climatic challenge characterized by water scarcity, significantly affects the growth and functional stability of terrestrial vegetation. This study closely examines how extreme droughts vary and how the vegetation recovery period changes on the basis of multi-source meteorological and remote satellite data. It also assesses the impacts of specific drought characteristics on vegetation recovery time in Guizhou Province, China. The results indicate that drought events are predominantly observed in the summer and autumn seasons across most of Guizhou Province, with a notable cessation of these dry spells often occurring in September and October. The northern and southwestern regions of Guizhou Province tend to experience the onset of drought conditions at an earlier date than other regions, with a concomitant trend of earlier termination of drought events in the northern locales. Droughts typically last 3-5 months, with mild and moderate droughts being the most common. The spatial distribution of vegetation recovery period from the droughts follows a discernible pattern, with most areas recovering within 2 months after drought ceases, whereas the Guiyang, Zunyi, Qiannan, and Qiandongnan regions need 4 to 6 months to recover in some years. Furthermore, substantial variations in vegetation recovery patterns have been observed among diverse land cover types. The average recovery period of forests ranged from 1.60 to 2.98 months, that of shrublands from 1.76 to 3.21 months, whereas the vegetation in croplands showed a relatively shorter recovery period, with most areas returning to normal levels within approximately 1 month. The recovery characteristics of vegetation were jointly influenced by the features of drought. Drought duration and severity often prolonged the length of the recovery period. This study provides a scientific basis for the formulation of regional drought management and ecological conservation strategies.

Indexed as

drought eventsdrought recovery timeGuizhou Provincelocal spatial cross‐correlationMODIS

Identifiers

PMID41531923
PMCPMC12795616

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.