Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.15276 |
An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity | |
Chongya Jiang; Youngryel Ryu; Han Wang; Trevor F. Keenan | |
2020-09-12 | |
发表期刊 | Global Change Biology
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出版年 | 2020 |
英文摘要 | The maximum rate of carboxylation (Vcmax) is an essential leaf trait determining the photosynthetic capacity of plants. Existing approaches for estimating Vcmax at large scale mainly rely on empirical relationships with proxies such as leaf nitrogen/chlorophyll content or hyperspectral reflectance, or on complicated inverse models from gross primary production or solar‐induced fluorescence. A novel mechanistic approach based on the assumption that plants optimize resource investment coordinating with environment and growth has been shown to accurately predict C3 plant Vcmax based on mean growing season environmental conditions. However, the ability of optimality theory to explain seasonal variation in Vcmax has not been fully investigated. Here, we adapt an optimality‐based model to simulate daily Vcmax,25C (Vcmax at a standardized temperature of 25°C) by incorporating the effects of antecedent environment, which affects current plant functioning, and dynamic light absorption, which coordinates with plant functioning. We then use seasonal Vcmax,25C field measurements from 10 sites across diverse ecosystems to evaluate model performance. Overall, the model explains about 83% of the seasonal variation in C3 plant Vcmax,25C across the 10 sites, with a medium root mean square error of 12.3 μmol m−2 s−1, which suggests that seasonal changes in Vcmax,25C are consistent with optimal plant function. We show that failing to account for acclimation to antecedent environment or coordination with dynamic light absorption dramatically decreases estimation accuracy. Our results show that optimality‐based approach can accurately reproduce seasonal variation in canopy photosynthetic potential, and suggest that incorporating such theory into next‐generation trait‐based terrestrial biosphere models would improve predictions of global photosynthesis. |
领域 | 气候变化 ; 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/293949 |
专题 | 气候变化 资源环境科学 |
推荐引用方式 GB/T 7714 | Chongya Jiang,Youngryel Ryu,Han Wang,等. An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity[J]. Global Change Biology,2020. |
APA | Chongya Jiang,Youngryel Ryu,Han Wang,&Trevor F. Keenan.(2020).An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity.Global Change Biology. |
MLA | Chongya Jiang,et al."An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity".Global Change Biology (2020). |
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