El Nino-Southern Oscillation forcing on carbon and water cycling in a Bornean tropical rainforest

被引:0
|
作者
Takamura, Naoya [1 ]
Hata, Yoshiaki [1 ]
Matsumoto, Kazuho [2 ]
Kume, Tomonori [3 ]
Ueyama, Masahito [4 ]
Kumagai, Tomo'om [1 ,5 ,6 ]
机构
[1] Univ Tokyo, Dept Forest Sci, Grad Sch Agr & Life Sci, Tokyo 1138657, Japan
[2] Univ Ryukyus, Fac Agr, Dept Subtrop Agroenvironm Sci, Nishihara, Okinawa 9030213, Japan
[3] Kyushu Univ, Shiiba Res Forest, Shiiba, Miyazaki 8830402, Japan
[4] Osaka Metropolitan Univ, Grad Sch Agr, Dept Environm Sci & Technol, Sakai, Osaka 5998531, Japan
[5] Nagoya Univ, Inst Space Earth Environm Res, Nagoya, Aichi 4648601, Japan
[6] Univ Hawaii Manoa, Water Resources Res Ctr, Honolulu, HI 96822 USA
基金
日本学术振兴会; 日本科学技术振兴机构;
关键词
Southeast Asian tropics; eddy covariance; photosynthesis; transpiration; two-big-leaf model; NET ECOSYSTEM EXCHANGE; RESPIRATION; DROUGHT; ASSIMILATION; EVENTS; PHOTOSYNTHESIS; SEASONALITY; FREQUENCY; LEAVES; PLANTS;
D O I
10.1073/pnas.2301596120
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Carbon dioxide and water vapor exchanges between tropical forest canopies and the atmosphere through photosynthesis, respiration, and evapotranspiration (ET) influence carbon and water cycling at the regional and global scales. Their inter-and intra-annual variations are sensitive to seasonal rhythms and longer-timescale tropical climatic events. In the present study, we assessed the El Nino-Southern Oscillation (ENSO) influence on ET and on the net ecosystem exchange (NEE), using eddy-covariance flux observations in a Bornean rainforest over a 10-y period (2010-2019) that included several El Nino and La Nina events. From flux model inversions, we inferred ecophysiological properties, notably the canopy stomatal conductance and "big-leaf" maximum carboxylation rate (V-cmax25_BL). Mean ET values were similar between ENSO phases (El Nino, La Nina, and neutral conditions). Conversely, the mean net ecosystem productivity was highest during La Nina events and lowest during El Nino events. Combining Shapley additive explanation calculations for nine controlling factors with a machine-learning algorithm, we determined that the primary factors for ET and NEE in the La Nina and neutral phases were incoming shortwave solar radiation and V-cmax25_BL, respectively, but that canopy stomatal conductance was the most significant factor for both ET and NEE in the El Nino phase. A combined stomatal-photosynthesis model approach further indicated that V-cmax25_ BL differences between ENSO phases were the most significant controlling factor for canopy photosynthesis, emphasizing the strong need to account for ENSO-induced ecophysiological factor variations in model projections of the long-term carbon balance in Southeast Asian tropical rainforests.
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页数:8
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