Evidence map›Paper›PMID 40901549›Full record

ArticleFrontiers in plant science2025

Species diversity estimation in a typical tropical forest: which phenological stage and spatial resolution are suitable?

Ping Zhao, Yuan Zeng, Zhaoju Zheng, Cong Xu, Jinchen Wu, Xuan Mu, Zhaofu Zhou, Junhua Chen, Tao Zhang, Dan Zhao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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

10 authors.

Ping Zhao *Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Yuan Zeng *Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Zhaoju ZhengKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Cong XuKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Jinchen WuKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Xuan MuKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Zhaofu ZhouKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Junhua ChenKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.
Tao ZhangHainan Jianfengling National Key Field Station for Forest Ecosystem, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China.
Dan ZhaoKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Satellite remote sensing data is essential for large-scale, timely, and repeatable monitoring of forest species diversity. While various methods have been applied to satellite-based diversity estimation at regional scales, selecting suitable sensor and monitoring period remains challenging, especially in tropical forests. This study aims to identify the optimal time window, spatial resolution, and metrics for species diversity estimation in the Jianfengling tropical forest in southern China. We constructed stepwise linear regression models for estimating Richness, Simpson, and Shannon-Wiener indices using

Indexed as

GF2phenologysentinel-2spatial scalespecies diversitytropical forest

Identifiers

PMID40901549
PMCPMC12399664

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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.