Evidence map›Paper›PMID 41982289›Full record

ArticlePlant diversity2026

Influence of divergent sampling intensity across plant growth forms on estimating elevational richness patterns and their drivers.

Hongrui Ling, Jianqiang Yang, Yannan He, Pengwan Zhang, Jiangci Nongbu, Sina Laoding, Zhenyu Fan, Aoxiang Chang, Hang Sun, Shuang Zhang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

11 authors.

Hongrui LingState Key Laboratory of Plant Diversity and Specialty Crops & Yunnan Key Laboratory of Plant Diversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
Jianqiang YangQuzonggong Management Office of Deqin Branch of Yunnan Baima Snow Mountain National Nature Reserve Management and Protection Bureau, Deqin 674499, China.
Yannan HeQuzonggong Management Office of Deqin Branch of Yunnan Baima Snow Mountain National Nature Reserve Management and Protection Bureau, Deqin 674499, China.
Pengwan ZhangQuzonggong Management Office of Deqin Branch of Yunnan Baima Snow Mountain National Nature Reserve Management and Protection Bureau, Deqin 674499, China.
Jiangci NongbuQuzonggong Management Office of Deqin Branch of Yunnan Baima Snow Mountain National Nature Reserve Management and Protection Bureau, Deqin 674499, China.
Sina LaodingQuzonggong Management Office of Deqin Branch of Yunnan Baima Snow Mountain National Nature Reserve Management and Protection Bureau, Deqin 674499, China.
Zhenyu FanSchool of Life Science and Aericulture Forestry, Oiqihar University, Oiaihar 161006, China.
Aoxiang ChangSchool of Life Science and Aericulture Forestry, Oiqihar University, Oiaihar 161006, China.
Hang SunState Key Laboratory of Plant Diversity and Specialty Crops & Yunnan Key Laboratory of Plant Diversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
Shuang ZhangState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Zihan JiangState Key Laboratory of Plant Diversity and Specialty Crops & Yunnan Key Laboratory of Plant Diversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have demonstrated that sampling intensity can significantly influence the detection of richness patterns and the assessment of the importance of driving factors. However, existing research has primarily focused on comparing the influence of sampling intensity across different locations or community types, with less attention paid to its influence across growth forms. Through field surveys on Baima Snow Mountain and bootstrap resampling analyses, we quantified the influence of sampling intensity on plant elevational richness patterns across growth forms (trees, shrubs, and herbs). Our results revealed that with increasing sampling intensity, the error in assessing elevational richness patterns decreased rapidly then stabilized for all growth forms. A similar trend was observed in the estimation of climatic drivers. However, significant variations emerged across different growth forms. The suitable sampling intensity was higher for trees and shrubs than for herbaceous plants. Furthermore, estimation errors for tree richness patterns declined significantly faster with increasing sampling intensity than those for shrubs and herbs. Similarly, the relationship between sampling intensity and error in estimating richness-climate relationships showed significant differences across growth forms. However, these differences were subject to the climate drivers selected. These findings demonstrate that growth-form differences must be considered in elevation-richness surveys. However, our meta-analysis revealed that no current study accounted for this factor in their protocols. Our findings provide empirical evidence for developing growth form-specific sampling protocols, offering practical solutions to improve the accuracy of mountain richness studies and enhance cross-study comparability in elevational gradient research.

Indexed as

Baima Snow MountainBootstrap samplingMulti-growth formsRichness-climate relationshipsSampling intensity

Identifiers

PMID41982289
PMCPMC13071457

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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.