Evidence map›Paper›PMID 41982291›Full record

ArticlePlant diversity2026

Differences in leaf heat and drought tolerance but not cold tolerance between karst and non-karst forest plants.

Qiufeng Ning, Yin Wen, Hui Liu, Jiawei Li, Yunpeng Nie

Abstract read
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. 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

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

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

5 authors.

Qiufeng NingGuangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Forestry, Guangxi University, Nanning 53004, China.
Yin WenInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Hui LiuGuangdong Provincial Key Laboratory of Applied Botany, State Key Laboratory of Plant Diversity and Specialty Crops, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Jiawei LiGuangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Forestry, Guangxi University, Nanning 53004, China.
Yunpeng NieInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing climate change and increasingly frequent extreme precipitation events pose greater threats to plant survival. Plants in the karst environment may face heightened risks because shallow soils and poor water retention amplify drought and temperature stresses, yet their physiological tolerances remain poorly understood. In this study, we aimed to investigate the leaf physiological tolerance strategies to drought and temperature stress in plants from karst versus non-karst forests, and to quantify the relative contributions of lithology and phylogeny to variation in these tolerances. In this study, we measured leaf photosynthetic heat and cold tolerance, leaf turgor loss points, and morphological and anatomical traits in 39 dominant woody species from karst and non-karst forests in Guangxi, China. We used Welch's t-tests to compare leaf trait differences between forest types, evaluated the trait relationships with Pearson correlation analysis, and partitioned the contributions of lithology and phylogeny to trait variation using phylogenetic eigenvector regression (PVR). Karst species exhibited more negative leaf turgor loss points (π

Indexed as

Heat stressKarst forestsLeaf traitsPhotosynthetic cold tolerancePhotosynthetic heat toleranceTurgor loss point

Identifiers

PMID41982291
PMCPMC13071437

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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.