Evidence map›Paper›PMID 39975706›Full record

ArticleEcology and evolution2025

Satellite Remote Sensing Reveals More Beneficial Effect of Forest Plant Diversity on Drought Resistance in More Arid Areas of Yunnan, China.

Guotao Ma, Hao Sun, Keke Hu, Hong Zhou

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guotao MaCollege of Geoscience and Surveying Engineering China University of Mining and Technology-Beijing Beijing China.
Hao SunCollege of Geoscience and Surveying Engineering China University of Mining and Technology-Beijing Beijing China.ORCID https://orcid.org/0000-0002-6315-4838
Keke HuCollege of Geoscience and Surveying Engineering China University of Mining and Technology-Beijing Beijing China.
Hong ZhouResearch Center of Applied Geology of China Geological Survey Chengdu Sichuan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diversity is important in enhancing an ecosystem's drought resistance. However, the relationship between plant diversity and drought resistance has historically aroused much controversy. Given that most previous studies on the relationship were conducted with in situ data at a small or point scale, this study explored the relationship with satellite remote sensing, taking Yunnan Province of China as the study area. Specifically, Sentinel-2 remote sensing data were used to estimate plant diversity. The temporal correlation between the standardized vegetation index (SVI) and standardized precipitation evapotranspiration index (SPEI) was used to express the vegetation sensitivity to drought or drought resistance. A moving window method was developed to explore the relationship between plant diversity and drought resistance. MODIS and SPEI data from 2000 to 2018, as well as Meteorological reanalysis data from 1990 to 2020, were utilized. Results indicated that (1) the remotely sensed plant diversity index was found significantly correlated with field investigations of plant diversity in the study area, with a correlation coefficient of around 0.43-0.49 and

Indexed as

beneficial effectdrought resistanceforest plant diversityforest responses to drought stresssatellite remote sensingSentinel‐2

Identifiers

PMID39975706
PMCPMC11836341

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Registered trials

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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.