生物群落
生态系统
涡度相关法
环境科学
大气科学
植被(病理学)
全球变暖
气候变化
气候学
分布(数学)
空气温度
协方差
生态学
生产力
碳循环
数学
生物
统计
物理
地质学
经济
医学
数学分析
宏观经济学
病理
作者
Mengtian Huang,Shilong Piao,Philippe Ciais,Josep Peñuelas,Xuhui Wang,Trevor F. Keenan,Shushi Peng,Joseph A. Berry,Kai Wang,Jiafu Mao,Ramdane Alkama,Alessandro Cescatti,Matthias Cuntz,Hannes De Deurwaerder,Mengdi Gao,Yue He,Yongwen Liu,Yiqi Luo,Ranga B. Myneni,Shuli Niu
标识
DOI:10.1038/s41559-019-0838-x
摘要
The global distribution of the optimum air temperature for ecosystem-level gross primary productivity ([Formula: see text]) is poorly understood, despite its importance for ecosystem carbon uptake under future warming. We provide empirical evidence for the existence of such an optimum, using measurements of in situ eddy covariance and satellite-derived proxies, and report its global distribution. [Formula: see text] is consistently lower than the physiological optimum temperature of leaf-level photosynthetic capacity, which typically exceeds 30 °C. The global average [Formula: see text] is estimated to be 23 ± 6 °C, with warmer regions having higher [Formula: see text] values than colder regions. In tropical forests in particular, [Formula: see text] is close to growing-season air temperature and is projected to fall below it under all scenarios of future climate, suggesting a limited safe operating space for these ecosystems under future warming.
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