首页|Extremely thin but very robust:Surprising cryptogam trait combinations at the end of the leaf economics spectrum

Extremely thin but very robust:Surprising cryptogam trait combinations at the end of the leaf economics spectrum

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Leaf economics spectrum(LES)describes the fundamental trade-offs between leaf structural,chemical,and physiological investments.Generally,structurally robust thick leaves with high leaf dry mass per unit area(LMA)exhibit lower photosynthetic capacity per dry mass(Amass).Paradoxically,"soft and thin-leaved"mosses and spikemosses have very low Amass,but due to minute-size foliage elements,their LMA and its components,leaf thickness(LT)and density(LD),have not been systematically estimated.Here,we characterized LES and associated traits in cryptogams in unprecedented details,covering five evolutionarily different lineages.We found that mosses and spikemosses had the lowest LMA and LT values ever measured for terrestrial plants.Across a broad range of species from different lineages,Amass and LD were negatively correlated.In contrast,Amass was only related to LMA when LMA was greater than 14 g cm-2.In fact,low Amass reflected high LD and cell wall thickness in the studied cryptogams.We conclude that evolutionarily old plant lineages attained poorly differentiated,ultrathin mesophyll by increasing LD.Across plant lineages,LD,not LMA,is the trait that represents the trade-off between leaf robustness and physiology in the LES.

Investment strategyLeaf densityLeaf structural traitsLMA estimation biasNon-seed plantsTrait trade-offs

Tana Wuyun、Lu Zhang、Tiina Tosens、Bin Liu、Kristiina Mark、José Ángel Morales-Sánchez、Jesamine Jöneva Rikisahedew、Vivian Kuusk、Ülo Niinemets

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Institute of Agricultural and Environmental Sciences,Estonian University of Life Sciences,Kreutzwaldi 1,Tartu 51014,Estonia

College of Landscape and Architecture,Zhejiang A&F University,666 Wusu Street,Hangzhou 311300,China

Estonian Academy of Sciences,Kohtu 6,Tallinn 10130,Estonia

2024

植物多样性(英文)
中国科学院昆明植物研究所,中国植物学会

植物多样性(英文)

CSTPCD
影响因子:0.617
ISSN:2096-2703
年,卷(期):2024.46(5)