Wood Formation Modeling - A Research Review and Future Perspectives.
Wood Formation Modeling - A Research Review and Future Perspectives.
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DOI：
10.3389/fpls.2022.837648
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发表时间：
2022
影响因子：
5.6
通讯作者：
Friend AD
中科院分区：
文献类型：
--
作者：
Eckes-Shephard AH;Ljungqvist FC;Drew DM;Rathgeber CBK;Friend AD
木材形成作为一个关键的过程模型，在各个研究领域都受到了相当大的关注。来自不同学科的木材形成的历史和当代模型已经包含了假设，例如外部因素的影响（例如，气候的）或内部的（例如，激素）因素对木材细胞分化的连续阶段。这篇综述涵盖了来自三个不同学科的17个木材形成模型，最早的是1968年，最新的是2020年。所描述的过程，以及他们的外部和内部驱动程序和他们的复杂程度，进行了讨论。这项工作是第一个系统的编目，表征和过程为重点的木材形成模型的审查。剩余的悬而未决的问题，木材形成过程中确定，并涉及到：（1）激素的影响程度上最终的树轮结构;（2）机制的基础上的过渡，从早材晚材在extratrophobic地区;（3）在何种程度上碳发挥作用的“主动”驱动程序或“被动”的增长基板。最后，我们认为，木材形成模型仍有待充分利用，有可能有助于研究个别树木固碳-储存动态和区域到全球的固碳动态陆地植被模型。
Wood formation has received considerable attention across various research fields as a key process to model. Historical and contemporary models of wood formation from various disciplines have encapsulated hypotheses such as the influence of external (e.g., climatic) or internal (e.g., hormonal) factors on the successive stages of wood cell differentiation. This review covers 17 wood formation models from three different disciplines, the earliest from 1968 and the latest from 2020. The described processes, as well as their external and internal drivers and their level of complexity, are discussed. This work is the first systematic cataloging, characterization, and process-focused review of wood formation models. Remaining open questions concerning wood formation processes are identified, and relate to: (1) the extent of hormonal influence on the final tree ring structure; (2) the mechanism underlying the transition from earlywood to latewood in extratropical regions; and (3) the extent to which carbon plays a role as “active” driver or “passive” substrate for growth. We conclude by arguing that wood formation models remain to be fully exploited, with the potential to contribute to studies concerning individual tree carbon sequestration-storage dynamics and regional to global carbon sequestration dynamics in terrestrial vegetation models.
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影响因子：
5.6
作者：
Cartenì F;Deslauriers A;Rossi S;Morin H;De Micco V;Mazzoleni S;Giannino F
通讯作者：
Giannino F
影响因子：
5.2
作者：
Anchukaitis, KJ;Evans, MN;Cane, MA
通讯作者：
Cane, MA
影响因子：
7.3
作者：
Cuny, Henri E.;Fonti, Patrick;Frank, David C.
通讯作者：
Frank, David C.
影响因子：
64.8
作者：
Briffa, KR;Schweingruber, FH;Vaganov, EA
通讯作者：
Vaganov, EA
影响因子：
9.4
作者：
Cuny, Henri E.;Rathgeber, Cyrille B. K.;Fournier, Meriem
通讯作者：
Fournier, Meriem