دورية أكاديمية
Quantifying leaf trait covariation and its controls across climates and biomes
| العنوان: | Quantifying leaf trait covariation and its controls across climates and biomes |
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| المؤلفون: | Yang, Y, Wang, H, Harrison, S, Prentice, IC, Wright, I, Peng, C, Lin, G |
| المساهمون: | AXA Research Fund |
| المصدر: | 168 ; 155 |
| بيانات النشر: | Wiley |
| سنة النشر: | 2018 |
| المجموعة: | Imperial College London: Spiral |
| مصطلحات موضوعية: | Science & Technology, Life Sciences & Biomedicine, Plant Sciences, climate, leaf economics spectrum, multivariate analysis, photosynthetic capacity, phylogeny, plant functional traits, vegetation modelling, CARBON-ISOTOPE DISCRIMINATION, LEADING DIMENSIONS, ADAPTIVE VARIATION, BIOCHEMICAL-MODEL, RESPONSES, COMMUNITIES, VEGETATION, NITROGEN, 06 Biological Sciences, 07 Agricultural And Veterinary Sciences, Plant Biology & Botany |
| الوصف: | Plant functional ecology requires the quantification of trait variation and its controls. Field measurements on 483 species at 48 sites across China were used to analyse variation in leaf traits, and assess their predictability. Principal components analysis (PCA) was used to characterize trait variation, redundancy analysis (RDA) to reveal climate effects, and RDA with variance partitioning to estimate separate and overlapping effects of site, climate, life‐form and family membership. Four orthogonal dimensions of total trait variation were identified: leaf area (LA), internal‐to‐ambient CO2 ratio (χ), leaf economics spectrum traits (specific leaf area (SLA) versus leaf dry matter content (LDMC) and nitrogen per area (Narea)), and photosynthetic capacities (Vcmax, Jmax at 25°C). LA and χ covaried with moisture index. Site, climate, life form and family together explained 70% of trait variance. Families accounted for 17%, and climate and families together 29%. LDMC and SLA showed the largest family effects. Independent life‐form effects were small. Climate influences trait variation in part by selection for different life forms and families. Trait values derived from climate data via RDA showed substantial predictive power for trait values in the available global data sets. Systematic trait data collection across all climates and biomes is still necessary. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| تدمد: | 0028-646X |
| العلاقة: | New Phytologist; http://hdl.handle.net/10044/1/64643Test; https://dx.doi.org/10.1111/nph.15422Test; AXA Chair Programme in Biosphere and Climate Impacts |
| DOI: | 10.1111/nph.15422 |
| الإتاحة: | https://doi.org/10.1111/nph.15422Test http://hdl.handle.net/10044/1/64643Test |
| حقوق: | © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust. This is the accepted version of the following article, which has been published in final form at https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.15422Test |
| رقم الانضمام: | edsbas.E05ACC8D |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 0028646X |
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| DOI: | 10.1111/nph.15422 |