Linking plant and ecosystem functional biogeography

被引:261
作者
Reichstein, Markus [1 ,2 ]
Bahn, Michael [3 ]
Mahecha, Miguel D. [1 ,2 ]
Kattge, Jens [1 ,2 ]
Baldocchi, Dennis D. [4 ]
机构
[1] Max Planck Inst Biogeochem, D-07745 Jena, Germany
[2] German Ctr Integrat Biodivers Res iDiv, D-04103 Leipzig, Germany
[3] Univ Innsbruck, Inst Ecol, A-6020 Innsbruck, Austria
[4] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
关键词
biogeochemistry; plant traits; carbon cycle; eddy covariance; FLUXNET; CARBON-DIOXIDE; GLOBAL CONVERGENCE; TERRESTRIAL BIOSPHERE; PRIMARY PRODUCTIVITY; DECOMPOSITION RATES; TRAIT RELATIONSHIPS; USE EFFICIENCY; CLIMATE-CHANGE; WATER-VAPOR; RESPIRATION;
D O I
10.1073/pnas.1216065111
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
Classical biogeographical observations suggest that ecosystems are strongly shaped by climatic constraints in terms of their structure and function. On the other hand, vegetation function feeds back on the climate system via biosphere-atmosphere exchange of matter and energy. Ecosystem-level observations of this exchange reveal very large functional biogeographical variation of climate-relevant ecosystem functional properties related to carbon and water cycles. This variation is explained insufficiently by climate control and a classical plant functional type classification approach. For example, correlations between seasonal carbon-use efficiency and climate or environmental variables remain below 0.6, leaving almost 70% of variance unexplained. We suggest that a substantial part of this unexplained variation of ecosystem functional properties is related to variations in plant and microbial traits. Therefore, to progress with global functional biogeography, we should seek to understand the link between organismic traits and flux-derived ecosystem properties at ecosystem observation sites and the spatial variation of vegetation traits given geoecological covariates. This understanding can be fostered by synergistic use of both data-driven and theory-driven ecological as well as biophysical approaches.
引用
收藏
页码:13697 / 13702
页数:6
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