期刊
GLOBAL CHANGE BIOLOGY
卷 25, 期 5, 页码 1820-1838出版社
WILEY
DOI: 10.1111/gcb.14604
关键词
elevated CO2 concentrations; land surface modeling; mesophyll conductance; photosynthetic CO2 sensitivity; representative concentration pathways
资金
- H2020 European Research Council [647204]
- Australian Research Council [CE170100023]
- European Research Council (ERC) [647204] Funding Source: European Research Council (ERC)
- Australian Research Council [CE170100023] Funding Source: Australian Research Council
Mesophyll conductance (g(m)) is known to affect plant photosynthesis. However, g(m) is rarely explicitly considered in land surface models (LSMs), with the consequence that its role in ecosystem and large-scale carbon and water fluxes is poorly understood. In particular, the different magnitudes of g(m) across plant functional types (PFTs) are expected to cause spatially divergent vegetation responses to elevated CO2 concentrations. Here, an extensive literature compilation of g(m) across major vegetation types is used to parameterize an empirical model of g(m) in the LSM JSBACH and to adjust photosynthetic parameters based on simulated A(n) - C-i curves. We demonstrate that an explicit representation of g(m) changes the response of photosynthesis to environmental factors, which cannot be entirely compensated by adjusting photosynthetic parameters. These altered responses lead to changes in the photosynthetic sensitivity to atmospheric CO2 concentrations which depend both on the magnitude of g(m) and the climatic conditions, particularly temperature. We then conducted simulations under ambient and elevated (ambient + 200 mu mol/mol) CO2 concentrations for contrasting ecosystems and for historical and anticipated future climate conditions (representative concentration pathways; RCPs) globally. The g(m)-explicit simulations using the RCP8.5 scenario resulted in significantly higher increases in gross primary productivity (GPP) in high latitudes (+10% to + 25%), intermediate increases in temperate regions (+5% to + 15%), and slightly lower to moderately higher responses in tropical regions (-2% to +5%), which summed up to moderate GPP increases globally. Similar patterns were found for transpiration, but with a lower magnitude. Our results suggest that the effect of an explicit representation of g(m) is most important for simulated carbon and water fluxes in the boreal zone, where a cold climate coincides with evergreen vegetation.
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