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植物之间的轻度竞争如何影响它们对气候变化的响应。

How light competition between plants affects their response to climate change.

机构信息

Ecology and Biodiversity Group, Utrecht University, Postbox 80084, 3508 TB, Utrecht, the Netherlands.

Centre for Crop Systems Analysis, Wageningen University, Postbox 430, 6700 AK, Wageningen, the Netherlands.

出版信息

New Phytol. 2014 Sep;203(4):1253-1265. doi: 10.1111/nph.12865. Epub 2014 May 29.

Abstract

How plants respond to climate change is of major concern, as plants will strongly impact future ecosystem functioning, food production and climate. Here, we investigated how vegetation structure and functioning may be influenced by predicted increases in annual temperatures and atmospheric CO2 concentration, and modeled the extent to which local plant-plant interactions may modify these effects. A canopy model was developed, which calculates photosynthesis as a function of light, nitrogen, temperature, CO2 and water availability, and considers different degrees of light competition between neighboring plants through canopy mixing; soybean (Glycine max) was used as a reference system. The model predicts increased net photosynthesis and reduced stomatal conductance and transpiration under atmospheric CO2 increase. When CO2 elevation is combined with warming, photosynthesis is increased more, but transpiration is reduced less. Intriguingly, when competition is considered, the optimal response shifts to producing larger leaf areas, but with lower stomatal conductance and associated vegetation transpiration than when competition is not considered. Furthermore, only when competition is considered are the predicted effects of elevated CO2 on leaf area index (LAI) well within the range of observed effects obtained by Free air CO2 enrichment (FACE) experiments. Together, our results illustrate how competition between plants may modify vegetation responses to climate change.

摘要

植物对气候变化的反应是一个主要关注点,因为植物将强烈影响未来的生态系统功能、粮食生产和气候。在这里,我们研究了植被结构和功能如何可能受到预测的年气温和大气 CO2 浓度增加的影响,并模拟了局部植物-植物相互作用可能改变这些影响的程度。开发了一个冠层模型,该模型根据光、氮、温度、CO2 和水的可用性来计算光合作用,并通过冠层混合考虑相邻植物之间不同程度的光竞争;大豆(Glycine max)被用作参考系统。该模型预测大气 CO2 增加会导致净光合作用增加,而气孔导度和蒸腾作用降低。当 CO2 升高与变暖相结合时,光合作用增加更多,但蒸腾作用减少更少。有趣的是,当考虑竞争时,最佳反应是产生更大的叶片面积,但与不考虑竞争时相比,气孔导度和相关植被蒸腾作用较低。此外,只有当考虑竞争时,大气 CO2 对叶面积指数(LAI)的预测影响才与通过自由空气 CO2 富集(FACE)实验获得的观察到的影响范围相吻合。总之,我们的研究结果说明了植物之间的竞争如何可能改变植被对气候变化的反应。

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