Leaf nutrient basis for the differentiation of photosynthetic traits between subtropical evergreen and deciduous trees

Compared with evergreens, deciduous tree species usually have higher photosynthetic efficiency to complete vegetative and reproductive growth in a shorter growing season. However, the nutrient basis for the differentiation of photosynthesis functional traits between evergreen and deciduous tree species has not yet been clarified. Thirty evergreen and 20 deciduous angiosperm tree species from a subtropical common garden were compared in terms of photosynthetic traits and leaf nutrients. Generally, their differences in area-based photosynthetic capacity were uncorrelated with area-based leaf nutrient content but were caused by the fraction of nitrogen allocated to photosynthetic components. By comparison, the differences in mass-based photosynthetic capacity were more correlated with leaf nitrogen content than leaf phosphorus and potassium content. Convergence in phosphorus and potassium constraints to photosynthesis occurred in deciduous tree species but not in evergreen tree species. Furthermore, leaf C/N ratio played a more significant role than leaf mass per area in determining the differentiation of photosynthetic traits between evergreen and deciduous groups. Our findings provide insight into the nutrient basis for photosynthetic carbon gain and functional strategies across tree species.

Authors

Institutions

Publication Details

Journal
PLANT PHYSIOLOGY
Published
2024-10-25
DOI
https://doi.org/10.1093/plphys/kiae566
Citations
8
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
5.53

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leaf nutrient basis for the differentiation of photosynthetic traits between subtropical evergreen and deciduous trees

Shi‐Bao Zhang, José Javier Peguero‐Pina, Jürgen Knauer, Wei Huang et al.
8 citations
PLANT PHYSIOLOGY
Forest ecology and management
5.53
article

Leaf nutrient basis for the differentiation of photosynthetic traits between subtropical evergreen and deciduous trees

Shi‐Bao Zhang, José Javier Peguero‐Pina, Jürgen Knauer, Wei Huang, Qi Shi, Bin He
article en
8 citations

Abstract

Compared with evergreens, deciduous tree species usually have higher photosynthetic efficiency to complete vegetative and reproductive growth in a shorter growing season. However, the nutrient basis for the differentiation of photosynthesis functional traits between evergreen and deciduous tree species has not yet been clarified. Thirty evergreen and 20 deciduous angiosperm tree species from a subtropical common garden were compared in terms of photosynthetic traits and leaf nutrients. Generally, their differences in area-based photosynthetic capacity were uncorrelated with area-based leaf nutrient content but were caused by the fraction of nitrogen allocated to photosynthetic components. By comparison, the differences in mass-based photosynthetic capacity were more correlated with leaf nitrogen content than leaf phosphorus and potassium content. Convergence in phosphorus and potassium constraints to photosynthesis occurred in deciduous tree species but not in evergreen tree species. Furthermore, leaf C/N ratio played a more significant role than leaf mass per area in determining the differentiation of photosynthetic traits between evergreen and deciduous groups. Our findings provide insight into the nutrient basis for photosynthetic carbon gain and functional strategies across tree species.

PLANT PHYSIOLOGYVol. 197(1)
Kunming Institute of Botany (CN), Chinese Academy of Sciences (CN), Universidad de Zaragoza (ES), Centro de Investigación y Tecnología Agroalimentaria de Aragón (ES), University of Chinese Academy of Sciences (CN), Western Sydney University (AU)
National Natural Science Foundation of China, Chinese Academy of Sciences, West Light Foundation of the Chinese Academy of Sciences, Kunming Institute of Botany, Chinese Academy of Sciences, Institute of Botany, Chinese Academy of Sciences, Major Science and Technology Projects in Yunnan Province
Life in Land
Openalex Percentile: Top 4%
Forest ecology and management
5.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.