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Beyond carbon flux partitioning: Carbon allocation and nonstructural carbon dynamics inferred from continuous fluxes.
Ecological Applications ( IF 5 ) Pub Date : 2022-07-27 , DOI: 10.1002/eap.2655
Guofang Miao 1, 2, 3 , Asko Noormets 3, 4 , Michael Gavazzi 5 , Bhaskar Mitra 6 , Jean-Christophe Domec 7, 8 , Ge Sun 5 , Steve McNulty 5 , John S King 3
Affiliation  

Carbon (C) allocation and nonstructural carbon (NSC) dynamics play essential roles in plant growth and survival under stress and disturbance. However, quantitative understanding of these processes remains limited. Here we propose a framework where we connect commonly measured carbon cycle components (eddy covariance fluxes of canopy CO2 exchange, soil CO2 efflux, and allometry-based biomass and net primary production) by a simple mass balance model to derive ecosystem-level NSC dynamics (NSCi ), C translocation (dCi ), and the biomass production efficiency (BPEi ) in above- and belowground plant (i = agp and bgp) compartments. We applied this framework to two long-term monitored loblolly pine (Pinus taeda) plantations of different ages in North Carolina and characterized the variations of NSC and allocation in years under normal and drought conditions. The results indicated that the young stand did not have net NSC flux at the annual scale, whereas the mature stand stored a near-constant proportion of new assimilates as NSC every year under normal conditions, which was comparable in magnitude to new structural growth. Roots consumed NSC in drought and stored a significant amount of NSC post drought. The above- and belowground dCi and BPEi varied more from year to year in the young stand and approached a relatively stable pattern in the mature stand. The belowground BPEbgp differed the most between the young and mature stands and was most responsive to drought. With the internal C dynamics quantified, this framework may also improve biomass production estimation, which reveals the variations resulting from droughts. Overall, these quantified ecosystem-scale dynamics were consistent with existing evidence from tree-based manipulative experiments and measurements and demonstrated that combining the continuous fluxes as proposed here can provide additional information about plant internal C dynamics. Given that it is based on broadly available flux data, the proposed framework is promising to improve the allocation algorithms in ecosystem C cycle models and offers new insights into observed variability in soil-plant-climate interactions.

中文翻译:

超越碳通量分配:从连续通量推断的碳分配和非结构碳动力学。

碳 (C) 分配和非结构碳 (NSC) 动力学在植物在胁迫和干扰下的生长和生存中发挥着重要作用。然而,对这些过程的定量理解仍然有限。在这里,我们提出了一个框架,我们通过一个简单的质量平衡模型将通常测量的碳循环成分(冠层 CO2 交换的涡协方差通量、土壤 CO2 流出以及基于异速生长的生物量和净初级生产)联系起来,以推导出生态系统层面的 NSC 动态。 NSCi )、C 易位 (dCi ) 以及地上和地下植物 (i = agp 和 bgp) 隔间中的生物量生产效率 (BPEi)。我们将该框架应用于北卡罗来纳州两个不同年龄的长期监测火炬松(Pinus taeda)人工林,并描述了正常和干旱条件下 NSC 和年份分配的变化。结果表明,年轻林分在年尺度上没有净 NSC 通量,而成熟林分在正常条件下每年作为 NSC 储存的新同化物比例接近恒定,这与新的结构增长相当。根系在干旱中消耗 NSC,并在干旱后储存大量 NSC。幼林地上部和地下 dCi 和 BPEi 逐年变化较大,而成熟林地则趋于稳定。地下 BPEbgp 在幼林和成熟林之间的差异最大,并且对干旱最敏感。通过量化内部 C 动态,该框架还可以改进生物量产量估计,从而揭示干旱导致的变化。总体而言,这些量化的生态系统规模动态与基于树木的操作实验和测量的现有证据一致,并证明结合此处提出的连续通量可以提供有关植物内部 C 动态的额外信息。鉴于它基于广泛可用的通量数据,所提出的框架有望改进生态系统 C 循环模型中的分配算法,并为观察到的土壤-植物-气候相互作用的变异性提供新的见解。这些量化的生态系统规模动态与基于树木的操作实验和测量的现有证据一致,并证明结合此处提出的连续通量可以提供有关植物内部 C 动态的额外信息。鉴于它基于广泛可用的通量数据,所提出的框架有望改进生态系统 C 循环模型中的分配算法,并为观察到的土壤-植物-气候相互作用的变异性提供新的见解。这些量化的生态系统规模动态与基于树木的操作实验和测量的现有证据一致,并证明结合此处提出的连续通量可以提供有关植物内部 C 动态的额外信息。鉴于它基于广泛可用的通量数据,所提出的框架有望改进生态系统 C 循环模型中的分配算法,并为观察到的土壤-植物-气候相互作用的变异性提供新的见解。
更新日期:2022-05-14
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