Robust leaf trait relationships across species under global environmental changes
Open accessAbstract
Recent studies show coordinated relationships between plant leaf traits and their capacity to predict ecosystem functions. However, how leaf traits will change within species and whether interspecific trait relationships will shift under future environmental changes both remain unclear. Here, we examine the bivariate correlations between leaf economic traits of 515 species in 210 experiments which mimic climate warming, drought, elevated CO 2 , and nitrogen deposition. We find divergent directions of changes in trait-pairs between species, and the directions mostly do not follow the interspecific trait relationships. However, the slopes in the logarithmic transformed interspecific trait relationships hold stable under environmental changes, while only their elevations vary. The elevation changes of trait relationship are mainly driven by asymmetrically interspecific responses contrary to the direction of the leaf economic spectrum. These findings suggest robust interspecific trait relationships under global changes, and call for linking within-species responses to interspecific coordination of plant traits.
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The parameter settings of HVG selection and PCA in these methods are far from consensus and inevitably introduce artificial bias for performance evaluation.
“Furthermore, the parameter settings of HVG selection and PCA in these methods are far to reach a consensus and inevitably introduce artificial bias for performance evaluation 15- 19 .”
From scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data (2021) · cites this paper as [19]
The parameter settings of HVG selection and PCA in these methods are far from consensus and inevitably introduce artificial bias for performance evaluation.
“Furthermore, the parameter settings of HVG selection and PCA in these methods are far to reach a consensus and inevitably introduce artificial bias for performance evaluation 15- 19 .”
From scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data (2021) · cites this paper as [17]
Selecting HVGs ignores co-occurrence and biological interaction of genes, especially HVG and non-HVG, which are useful for cell type annotation.
“Selecting HVGs ignores co-occurrence and biological interaction of genes (especially HVG and non-HVG), which are useful for cell type annotation 20 .”
From scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data (2021) · cites this paper as [20]
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- Authors
- Cui, E., Weng, E., Yan, E., & Xia, J.
- Affiliations
- State Key Laboratory of Estuarine and Coastal Research (CN)
- Columbia University (US)
- Corresponding author
- Xia, Jianyang
- Venue
- Nature Communications
- Published
- 2020-06-12
- Volume
- 11
- Issue
- 1
- Pages
- 2999-2999
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7293315
- OpenAlex
- W3034255665
- Cited by
- 143
- References
- 69
- Citations by year
- 2026: 18 · 2025: 29 · 2024: 33 · 2023: 24 · 2022: 27 · 2021: 10 · 2020: 2
- FWCI
- 10.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Columbia Academic Commons (Columbia University)
- Funders
- National Natural Science Foundation of China (31722009, 41630528)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant responses to elevated CO2
- Keywords
- leaf economic traits, leaf economics spectrum, global warming, drought, elevated CO2, nitrogen deposition, trait coordination, global change, plant functional traits
- MeSH terms
- Algorithms, Carbon Dioxide, Models, Biological, Nitrogen, Phenotype, Plants, Species Specificity, Ecosystem, Plant Leaves, Droughts, Climate Change, Global Warming
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