Evidence map›Paper›PMID 32249502›Full record

ArticleEcology letters2020

Leaf size of woody dicots predicts ecosystem primary productivity.

Yaoqi Li, Peter B Reich, Bernhard Schmid, Nawal Shrestha, Xiao Feng, Tong Lyu, Brian S Maitner, Xiaoting Xu, Yichao Li, Dongting Zou and 7 more

Abstract readLetter
In one paragraph

Article in Ecology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

17 authors.

Yaoqi LiInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID https://orcid.org/0000-0001-6540-395X
Peter B ReichDepartment of Forest Resources, University of Minnesota, St. Paul, MN, 55108, USA.
Bernhard SchmidDepartment of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Nawal ShresthaInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID https://orcid.org/0000-0002-6866-5100
Xiao FengInstitute of the Environment, University of Arizona, Tucson, Arizona, 85721, USA.ORCID https://orcid.org/0000-0003-4638-3927
Tong LyuInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Brian S MaitnerDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.ORCID https://orcid.org/0000-0002-2118-9880
Xiaoting XuInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Yichao LiInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Dongting ZouInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Zheng-Hong TanCollege of Environment and Ecology, Hainan University, Haikou, Hainan, 570228, China.
Xiangyan SuInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID https://orcid.org/0000-0003-0093-077X
Zhiyao TangInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Qinghua GuoState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Xiaojuan FengState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.ORCID https://orcid.org/0000-0002-0443-0628
Brian J EnquistInstitute of the Environment, University of Arizona, Tucson, Arizona, 85721, USA.
Zhiheng WangInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.

Funding

Chinese Academy of Sciences-Peking University Pioneer Collaboration TeamNational Natural Science Foundation of China 31911530102National Natural Science Foundation of China 31988102University of Zurich Research Priority Program
6 · The paper itself

Abstract

A key challenge in ecology is to understand the relationships between organismal traits and ecosystem processes. Here, with a novel dataset of leaf length and width for 10 480 woody dicots in China and 2374 in North America, we show that the variation in community mean leaf size is highly correlated with the variation in climate and ecosystem primary productivity, independent of plant life form. These relationships likely reflect how natural selection modifies leaf size across varying climates in conjunction with how climate influences canopy total leaf area. We find that the leaf size-primary productivity functions based on the Chinese dataset can predict productivity in North America and vice-versa. In addition to advancing understanding of the relationship between a climate-driven trait and ecosystem functioning, our findings suggest that leaf size can also be a promising tool in palaeoecology for scaling from fossil leaves to palaeo-primary productivity of woody ecosystems.

Indexed as

EcosystemMagnoliopsidaChinaNorth AmericaPlant LeavesAnnual evapotranspirationChinacommunity mean leaf sizelarge-scale eco-evolutionary patternsleaf area indexNorth Americapalaeo-primary productivityplant functional traits

Identifiers

PMID32249502
PMCPMC7384143

What OpenQuestion holds

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LicenceCC BY
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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.