N. J. Noh, A. A. Renchon, J. Knauer, V. Haverd, J. Li, A. Griebel, C. V. M. Barton, J. Yang, D. Sihi, S. K. Arndt, E. A. Davidson, M. G. Tjoelker, E. Pendall
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R<sub>eco</sub> and its components were simulated using the CABLE–POP (Community Atmosphere-Biosphere Land Exchange–Population Orders Physiology) land surface model, constrained by eddy covariance and chamber measurements and enabled with a newly implemented Dual Arrhenius and Michaelis-Menten (DAMM) module for soil organic matter decomposition. Eddy-covariance based R<sub>eco</sub> (R<sub>eco.eddy</sub>, 1,439 g C m<sup>−2</sup> y<sup>−1</sup>) was slightly higher than the sum of the respiration components (R<sub>eco.sum,</sub> 1,295 g C m<sup>−2</sup> y<sup>−1</sup>) and simulated R<sub>eco</sub> (1,297 g C m<sup>−2</sup> y<sup>−1</sup>). The largest mean contribution to R<sub>eco</sub> was from R<sub>soil</sub> (64%) across seasons. The measured contributions of R<sub>h</sub> (49%), R<sub>root</sub> (15%), and R<sub>stem</sub> (22%) to R<sub>eco.sum</sub> were very close to model outputs of 46%, 11%, and 22%, respectively. The modeled R<sub>h</sub> was highly correlated with measured R<sub>h</sub> (R<sup>2</sup> = 0.66, RMSE = 0.61), empirically validating the DAMM module. The apparent temperature sensitivities (Q<sub>10</sub>) of R<sub>eco</sub> were 2.22 for R<sub>eco.sum</sub>, 2.15 for R<sub>eco.eddy</sub>, and 1.57 for CABLE-POP. 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Eddy-covariance based R<sub>eco</sub> (R<sub>eco.eddy</sub>, 1,439 g C m<sup>−2</sup> y<sup>−1</sup>) was slightly higher than the sum of the respiration components (R<sub>eco.sum,</sub> 1,295 g C m<sup>−2</sup> y<sup>−1</sup>) and simulated R<sub>eco</sub> (1,297 g C m<sup>−2</sup> y<sup>−1</sup>). The largest mean contribution to R<sub>eco</sub> was from R<sub>soil</sub> (64%) across seasons. The measured contributions of R<sub>h</sub> (49%), R<sub>root</sub> (15%), and R<sub>stem</sub> (22%) to R<sub>eco.sum</sub> were very close to model outputs of 46%, 11%, and 22%, respectively. The modeled R<sub>h</sub> was highly correlated with measured R<sub>h</sub> (R<sup>2</sup> = 0.66, RMSE = 0.61), empirically validating the DAMM module. The apparent temperature sensitivities (Q<sub>10</sub>) of R<sub>eco</sub> were 2.22 for R<sub>eco.sum</sub>, 2.15 for R<sub>eco.eddy</sub>, and 1.57 for CABLE-POP. 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引用次数: 0
摘要
生态系统呼吸作用(Reco)产生于受不同驱动因素制约的相互作用的自养和异养过程。在此,我们对澳大利亚东南部一片成熟桉树林中观测到的呼吸作用成分进行了放大评估,并评估了地表模型是否充分代表了所有通量及其季节性温度响应。我们测量了 2018-2019 年土壤(Rsoil)、异养土壤微生物(Rh)、根(Rroot)和茎(Rstem)的呼吸作用。Reco及其组成部分是利用CABLE-POP(社区大气-生物圈土地交换-种群订单生理学)地表模型模拟的,该模型以涡度协方差和室测量为约束,并启用了新实施的用于土壤有机物分解的双阿伦尼斯和迈克尔斯-门顿(DAMM)模块。基于涡度协方差的 Reco(Reco.eddy,1,439 g C m-2 y-1)略高于呼吸作用成分的总和(Reco.sum,1,295 g C m-2 y-1)和模拟 Reco(1,297 g C m-2 y-1)。Rsoil(64%)对各季节 Reco 的平均贡献最大。测得的 Rh(49%)、Rroot(15%)和 Rstem(22%)对 Reco.sum 的贡献与模型输出非常接近,分别为 46%、11% 和 22%。建模的 Rh 与测量的 Rh 高度相关(R2 = 0.66,RMSE = 0.61),从经验上验证了 DAMM 模块。Reco.sum的表观温度敏感度(Q10)为2.22,Reco.eddy为2.15,CABLE-POP为1.57。这项研究表明,自下而上的呼吸分量测量可以成功地扩展到基于涡协方差的 Reco,并有助于更好地约束单个呼吸分量的大小及其在陆表模式中的温度敏感性。
Reconciling Top-Down and Bottom-Up Estimates of Ecosystem Respiration in a Mature Eucalypt Forest
Ecosystem respiration (Reco) arises from interacting autotrophic and heterotrophic processes constrained by distinct drivers. Here, we evaluated up-scaling of observed components of Reco in a mature eucalypt forest in southeast Australia and assessed whether a land surface model adequately represented all the fluxes and their seasonal temperature responses. We measured respiration from soil (Rsoil), heterotrophic soil microbes (Rh), roots (Rroot), and stems (Rstem) in 2018–2019. Reco and its components were simulated using the CABLE–POP (Community Atmosphere-Biosphere Land Exchange–Population Orders Physiology) land surface model, constrained by eddy covariance and chamber measurements and enabled with a newly implemented Dual Arrhenius and Michaelis-Menten (DAMM) module for soil organic matter decomposition. Eddy-covariance based Reco (Reco.eddy, 1,439 g C m−2 y−1) was slightly higher than the sum of the respiration components (Reco.sum, 1,295 g C m−2 y−1) and simulated Reco (1,297 g C m−2 y−1). The largest mean contribution to Reco was from Rsoil (64%) across seasons. The measured contributions of Rh (49%), Rroot (15%), and Rstem (22%) to Reco.sum were very close to model outputs of 46%, 11%, and 22%, respectively. The modeled Rh was highly correlated with measured Rh (R2 = 0.66, RMSE = 0.61), empirically validating the DAMM module. The apparent temperature sensitivities (Q10) of Reco were 2.22 for Reco.sum, 2.15 for Reco.eddy, and 1.57 for CABLE-POP. This research demonstrated that bottom-up respiration component measurements can be successfully scaled to eddy covariance-based Reco and help to better constrain the magnitude of individual respiration components as well as their temperature sensitivities in land surface models.
期刊介绍:
JGR-Biogeosciences focuses on biogeosciences of the Earth system in the past, present, and future and the extension of this research to planetary studies. The emerging field of biogeosciences spans the intellectual interface between biology and the geosciences and attempts to understand the functions of the Earth system across multiple spatial and temporal scales. Studies in biogeosciences may use multiple lines of evidence drawn from diverse fields to gain a holistic understanding of terrestrial, freshwater, and marine ecosystems and extreme environments. Specific topics within the scope of the section include process-based theoretical, experimental, and field studies of biogeochemistry, biogeophysics, atmosphere-, land-, and ocean-ecosystem interactions, biomineralization, life in extreme environments, astrobiology, microbial processes, geomicrobiology, and evolutionary geobiology