Evidence map›Paper›PMID 38657059›Full record

ArticleScience advances2024

Functional diversity enhances dryland forest productivity under long-term climate change.

Masumi Hisano, Jaboury Ghazoul, Xinli Chen, Han Y H Chen

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  8. Long-term stability of productivity increases with tree diversity in Canadian forests.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

4 authors.

Masumi HisanoGraduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo, Kyoto, 606-8501, Japan.ORCID 0000-0002-3869-8542
Jaboury GhazoulEcosystem Management, Institute of Terrestrial Ecosystems, Department of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland.
Xinli ChenState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0003-0542-5959
Han Y H ChenFaculty of Natural Resources Management, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada.ORCID 0000-0001-9477-5541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short-term experimental studies provided evidence that plant diversity increases ecosystem resilience and resistance to drought events, suggesting diversity to serve as a nature-based solution to address climate change. However, it remains unclear whether the effects of diversity are momentary or still hold over the long term in natural forests to ensure that the sustainability of carbon sinks. By analyzing 57 years of inventory data from dryland forests in Canada, we show that productivity of dryland forests decreased at an average rate of 1.3% per decade, in concert with the temporally increasing temperature and decreasing water availability. Increasing functional trait diversity from its minimum (monocultures) to maximum value increased productivity by 13%. Our results demonstrate the potential role of tree functional trait diversity in alleviating climate change impacts on dryland forests. While recognizing that nature-based climate mitigation (e.g., planting trees) can only be partial solutions, their long-term (decadal) efficacy can be improved by enhancing functional trait diversity across the forest community.

Indexed as

BiodiversityClimate ChangeForestsTreesCanadaEcosystemTemperature

Identifiers

PMID38657059
PMCPMC11042740

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.