Evidence map›Paper›PMID 41350403›Full record

ArticleNature ecology & evolution2026

Global dependency of canopy height on vapour pressure deficit and its projections under climate change.

Wenmin Zhang, Martin Brandt, Chi Xu, Xiaowei Tong, Yanbiao Xi, Zhongxiang Fang, Rasmus Fensholt

Abstract read
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Article in Nature ecology & 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

7 authors.

Wenmin ZhangKey Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China. wmzhang@geo.ecnu.edu.cn.ORCID 0000-0001-6520-9559
Martin BrandtDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-9531-1239
Chi XuSchool of Life Sciences, Nanjing University, Nanjing, China.ORCID 0000-0002-1841-9032
Xiaowei TongInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.
Yanbiao XiState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Zhongxiang FangInstitute of Geography, Augsburg University, Augsburg, Germany.
Rasmus FensholtDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canopy height is an important aspect of forest structure and functioning. Although water availability is important for canopy height growth, the climatic niche for tall trees remains poorly understood. Here we use global spaceborne lidar-derived canopy height to study its dependence on climate variables. We find that vapour pressure deficit (VPD) strongly controls geographical patterns of canopy height, observing a negative association also in tropical regions where water limitations are modest. Taller trees are prevalent in humid tropical regions, but canopy height decreases sharply as mean annual VPD surpasses 0.68 kPa. By 2100, projected increases in VPD under a warming climate could enhance limitations to canopy height growth, resulting in height losses in 87% of the humid tropical regions. Conversely, we project a widespread increase in canopy height across drylands, linked primarily to changing precipitation regimes. These results suggest that limitations on height growth driven by shifts in atmospheric dryness could lead to reduced future forest carbon sequestration.

Indexed as

Climate ChangeForestsTreesVapor Pressure

Identifiers

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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.