Wang Han, Atkin Owen K, Keenan Trevor F, Smith Nicholas G, Wright Ian J, Bloomfield Keith J, Kattge Jens, Reich Peter B, Prentice I Colin
Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, China.
Joint Centre for Global Change Studies, Tsinghua University, Beijing, China.
Glob Chang Biol. 2020 Apr;26(4):2573-2583. doi: 10.1111/gcb.14980. Epub 2020 Feb 24.
Plant respiration is an important contributor to the proposed positive global carbon-cycle feedback to climate change. However, as a major component, leaf mitochondrial ('dark') respiration (R ) differs among species adapted to contrasting environments and is known to acclimate to sustained changes in temperature. No accepted theory explains these phenomena or predicts its magnitude. Here we propose that the acclimation of R follows an optimal behaviour related to the need to maintain long-term average photosynthetic capacity (V ) so that available environmental resources can be most efficiently used for photosynthesis. To test this hypothesis, we extend photosynthetic co-ordination theory to predict the acclimation of R to growth temperature via a link to V , and compare predictions to a global set of measurements from 112 sites spanning all terrestrial biomes. This extended co-ordination theory predicts that field-measured R and V accessed at growth temperature (R and V ) should increase by 3.7% and 5.5% per degree increase in growth temperature. These acclimated responses to growth temperature are less steep than the corresponding instantaneous responses, which increase 8.1% and 9.9% per degree of measurement temperature for R and V respectively. Data-fitted responses proof indistinguishable from the values predicted by our theory, and smaller than the instantaneous responses. Theory and data are also shown to agree that the basal rates of both R and V assessed at 25°C (R and V ) decline by ~4.4% per degree increase in growth temperature. These results provide a parsimonious general theory for R acclimation to temperature that is simpler-and potentially more reliable-than the plant functional type-based leaf respiration schemes currently employed in most ecosystem and land-surface models.
植物呼吸作用对全球碳循环与气候变化之间假定的正向反馈有着重要作用。然而,作为主要组成部分的叶片线粒体(“暗”)呼吸(R)在适应不同环境的物种间存在差异,并且已知其会适应温度的持续变化。目前尚无被广泛接受的理论来解释这些现象或预测其强度。在此,我们提出R的适应性遵循一种与维持长期平均光合能力(V)需求相关的最优行为,以便使可用环境资源能最有效地用于光合作用。为验证这一假设,我们扩展了光合协调理论,通过与V的联系来预测R对生长温度的适应性,并将预测结果与来自涵盖所有陆地生物群落的112个站点的全球测量数据集进行比较。这种扩展的协调理论预测,在生长温度下实测的R和V(R 和V )应随生长温度每升高1℃分别增加3.7%和5.5%。这些对生长温度的适应性响应不如相应的瞬时响应陡峭,R和V的瞬时响应分别随测量温度每升高1℃增加8.1%和9.9%。数据拟合的响应与我们理论预测的值无法区分,且小于瞬时响应。理论和数据还表明,在25℃下评估的R和V的基础速率(R 和V )随生长温度每升高1℃下降约4.4%。这些结果为R对温度的适应性提供了一个简洁的通用理论,该理论比目前大多数生态系统和陆面模型中基于植物功能类型的叶片呼吸方案更简单,也可能更可靠。