Abstract：
: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.
journal_name
Glob Chang Bioljournal_title
Global change biologyauthors
Jiang C,Ryu Y,Wang H,Keenan TFdoi
10.1111/gcb.15276subject
Has Abstractpub_date
2020-07-12 00:00:00eissn
1354-1013issn
1365-2486pub_type
杂志文章abstract：:Observed ecological responses to climate change are highly individualistic across species and locations, and understanding the drivers of this variability is essential for management and conservation efforts. While it is clear that differences in exposure, sensitivity, and adaptive capacity all contribute to heterogen...
journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.15008
更新日期：2020-05-01 00:00:00
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pub_type： 杂志文章,评审
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pub_type： 杂志文章
doi：10.1111/gcb.13652
更新日期：2017-09-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
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pub_type： 杂志文章
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pub_type： 杂志文章
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更新日期：2016-11-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.14652
更新日期：2019-07-01 00:00:00
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pub_type： 杂志文章
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更新日期：2013-11-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.14124
更新日期：2018-09-01 00:00:00
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pub_type： 杂志文章
doi：10.1111/gcb.13390
更新日期：2017-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.15385
更新日期：2020-12-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12391
更新日期：2014-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12234
更新日期：2013-08-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12497
更新日期：2014-07-01 00:00:00
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pub_type： 杂志文章
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更新日期：2020-07-28 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.14731
更新日期：2019-10-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章,meta分析
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更新日期：2017-08-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.13122
更新日期：2016-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.13396
更新日期：2017-02-01 00:00:00
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pub_type： 杂志文章
doi：10.1111/gcb.13918
更新日期：2018-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.14443
更新日期：2018-12-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12414
更新日期：2014-04-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.15316
更新日期：2020-09-24 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.13816
更新日期：2018-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.13932
更新日期：2018-03-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12598
更新日期：2014-08-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12775
更新日期：2015-02-01 00:00:00
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journal_title：Global change biology
pub_type： 杂志文章
doi：10.1111/gcb.12513
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