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Does the growth response of woody plants to elevated CO₂ increase with temperature? A model-oriented meta-analysis

机译:木本植物对CO 2升高的生长反应是否随温度增加?面向模型的荟萃分析

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摘要

The temperature dependence of the reaction kinetics of the Rubisco enzyme implies that, at the level of a chloroplast, the response of photosynthesis to rising atmospheric CO₂ concentration (Ca ) will increase with increasing air temperature. Vegetation models incorporating this interaction predict that the response of net primary productivity (NPP) to elevated CO₂ (eCa ) will increase with rising temperature and will be substantially larger in warm tropical forests than in cold boreal forests. We tested these model predictions against evidence from eCa experiments by carrying out two meta-analyses. Firstly, we tested for an interaction effect on growth responses in factorial eCa  × temperature experiments. This analysis showed a positive, but nonsignificant interaction effect (95% CI for above-ground biomass response = -0.8, 18.0%) between eCa and temperature. Secondly, we tested field-based eCa experiments on woody plants across the globe for a relationship between the eCa effect on plant biomass and mean annual temperature (MAT). This second analysis showed a positive but nonsignificant correlation between the eCa response and MAT. The magnitude of the interactions between CO₂ and temperature found in both meta-analyses were consistent with model predictions, even though both analyses gave nonsignificant results. Thus, we conclude that it is not possible to distinguish between the competing hypotheses of no interaction vs. an interaction based on Rubisco kinetics from the available experimental database. Experiments in a wider range of temperature zones are required. Until such experimental data are available, model predictions should aim to incorporate uncertainty about this interaction.
机译:Rubisco酶反应动力学的温度依赖性表明,在叶绿体水平上,光合作用对大气中CO 2浓度(Ca)升高的响应将随着空气温度的升高而增加。结合这种相互作用的植被模型预测,净初级生产力(NPP)对升高的CO 2(eCa)的响应将随着温度的升高而增加,并且在温暖的热带森林中将比在寒冷的北方森林中大得多。我们通过进行两次荟萃分析,对照eCa实验的证据测试了这些模型预测。首先,我们在阶乘eCa×温度实验中测试了对生长响应的相互作用影响。该分析显示eCa和温度之间存在积极但不显着的交互作用(地上生物量响应的95%CI = -0.8,18.0%)。其次,我们在全球木本植物上进行了基于现场的eCa实验,以研究eCa对植物生物量的影响与年平均温度(MAT)之间的关系。第二次分析显示eCa响应与MAT之间存在正相关但不显着相关。两次荟萃分析中发现的CO 2和温度之间的相互作用强度与模型预测一致,即使两种分析均得出的结果均不显着。因此,我们得出结论,从可用的实验数据库中,无法区分无相互作用的竞争假说与基于Rubisco动力学的相互作用的假说是不可能的。需要在更宽的温度范围内进行实验。在获得此类实验数据之前,模型预测应旨在纳入有关这种相互作用的不确定性。

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