School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.
Philos Trans R Soc Lond B Biol Sci. 2010 Jul 12;365(1549):2117-26. doi: 10.1098/rstb.2010.0038.
The carbon cycle modulates climate change, via the regulation of atmospheric CO(2), and it represents one of the most important services provided by ecosystems. However, considerable uncertainties remain concerning potential feedback between the biota and the climate. In particular, it is unclear how global warming will affect the metabolic balance between the photosynthetic fixation and respiratory release of CO(2) at the ecosystem scale. Here, we present a combination of experimental field data from freshwater mesocosms, and theoretical predictions derived from the metabolic theory of ecology to investigate whether warming will alter the capacity of ecosystems to absorb CO(2). Our manipulative experiment simulated the temperature increases predicted for the end of the century and revealed that ecosystem respiration increased at a faster rate than primary production, reducing carbon sequestration by 13 per cent. These results confirmed our theoretical predictions based on the differential activation energies of these two processes. Using only the activation energies for whole ecosystem photosynthesis and respiration we provide a theoretical prediction that accurately quantified the precise magnitude of the reduction in carbon sequestration observed experimentally. We suggest the combination of whole-ecosystem manipulative experiments and ecological theory is one of the most promising and fruitful research areas to predict the impacts of climate change on key ecosystem services.
碳循环通过调节大气 CO2 来调节气候变化,它是生态系统提供的最重要服务之一。然而,生物群和气候之间潜在的反馈仍然存在很大的不确定性。特别是,全球变暖将如何影响生态系统层面光合作用固定和呼吸释放 CO2 之间的代谢平衡还不清楚。在这里,我们结合了淡水中观生态系统的实验现场数据和生态代谢理论的理论预测,研究了变暖是否会改变生态系统吸收 CO2 的能力。我们的操纵实验模拟了本世纪末预测的温度升高,结果表明生态系统呼吸的增加速度快于初级生产,导致碳固存减少了 13%。这些结果证实了我们基于这两个过程的不同激活能的理论预测。仅使用整个生态系统光合作用和呼吸作用的激活能,我们提供了一个理论预测,准确地量化了实验观察到的碳固存减少的精确幅度。我们认为,整个生态系统操纵实验和生态理论的结合是预测气候变化对关键生态系统服务影响的最有前途和富有成效的研究领域之一。