Evidence map›Paper›PMID 42063650›Full record

ArticleEcology and evolution2026

Differences in Phenological Estimation From Multi-Vegetation Indices Across the Yellow River Basin.

Qinyue Yu, Yan Bai, Juanle Wang

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. Not yet cited in PubMed.

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

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

3 authors.

Qinyue YuInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0009-0003-5159-1461
Yan BaiInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China.
Juanle WangInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Satellite-derived vegetation indices (VIs) are widely used to monitor land surface phenology (LSP). Plant Phenology Index (PPI) and kernel NDVI (kNDVI) have emerged as promising tools for improving accuracy of LSP estimation. However, differential phenological performance of these two indices relative to traditional ones remains unclear. Here, we evaluated consistency of PPI, kNDVI, and EVI derived from MODIS against solar-induced chlorophyll fluorescence (SIF) and flux tower GPP data, and investigated spatiotemporal changes in retrieving four phenological metrics across the Yellow River Basin (YRB). Results indicated that EVI exhibited a stronger overall correlation with SIF, whereas PPI achieved the best performance for GPP estimation (

Indexed as

autumn senescenceEVIkNDVIland surface phenologyPPI

Identifiers

PMID42063650
PMCPMC13127235

What OpenQuestion holds

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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.