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MAESTRA2: A model for simulating spatially explicit carbon dioxide exchange rates among species' water stress response.

机译:MAESTRA2:用于模拟物种的水分胁迫响应之间空间明确的二氧化碳交换速率的模型。

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摘要

MAESTRA2, a species specific mechanistic model, was parameterized to estimate water use, carbon accumulation and organ specific respiration of five deciduous tree species under both irrigated and water stressed conditions. The model was validated using temporally and spatially explicit ecophysiological data to account for seasonal changes in species physiology. The following tree species: Acer rubrum L. 'Summer Red' (A. rubrum ), Betula nigra (B. nigra), Paulownia elongata (P. elongata), Quercus nuttallii (Q. nuttallii), and Quercus phellos (Q. phellos) were intensively measured and organ specific destructively harvested samples were compared to modeled estimates of carbon accumulation. Among species, we observed variability in carbon dioxide exchange rates under well watered and water stressed conditions. A. rubrum carbon sequestration under water deficit was 29% less than the well watered treatment. The species other than A. rubrum were similar to each other (56%-63% less carbon sequestered as compared to the well watered). A. rubrum root biomass was higher in the drought treatment as compared to the well watered control, possibly explaining its carbon sequestration characteristics. Modeling validation results indicated that the model does have the capability to down regulate photosynthetic capacity on a per species basis. Differences between measured values and modeled estimates were within 6% for A. rubrum, 12% for B. nigra, 8% for P. elongata, 2% for Q. nuttallii, and 7% for Q. phellos. Therefore, seasonal carbon accumulation estimates adequately represented field observations in both well watered and drought treatments. Moreover, sap flux measurements confirmed the models ability to estimate diurnal gas exchange under both well watered and water stressed conditions. The work provides evidence that MAESTRA2 is a process-based model capable of accurately quantifying spatially explicit carbon dioxide exchange rates at the species level and in response to water stress.
机译:对MAESTRA2(一种物种特定的机械模型)进行参数化,以估计在灌溉和缺水条件下五种落叶树种的水分利用,碳积累和器官特异性呼吸。该模型已使用时空明确的生态生理数据进行了验证,以说明物种生理的季节性变化。以下树种:红槭(Acer rubrum L.'Summer Red'),黑桦(Betula nigra)(B。nigra),泡桐(Paulownia elongata)(P。elongata),栎栎(Q. nuttallii)和栎栎(Qer phellos)。 )进行了密集测量,并将器官特异性破坏性采集的样品与碳积累的模型估算值进行了比较。在物种之间,我们观察到在灌溉充足和缺水的条件下二氧化碳交换率的变化。水分缺乏下的红曲霉碳固存比浇水良好的处理少29%。除红曲霉外,其他物种彼此相似(与灌溉良好的土壤相比,固存的碳减少了56%-63%)。与灌溉良好的对照相比,干旱处理中的红曲根生物量更高,这可能解释了其碳固存特性。建模验证结果表明,该模型确实具有基于每个物种下调光合作用能力的能力。测量值与模型估计值之间的差异在红曲霉,黑褐芽孢杆菌12%,长条假单胞菌8%,长白菜Q.nutellolii和Phelloss的6%之内。因此,季节性碳积累估算值可以充分代表在水源充足和干旱处理中的实地观察。此外,树液通量的测量结果证实了该模型能够估算出在充足水源和水分胁迫条件下昼间气体交换的能力。这项工作提供了证据,证明MAESTRA2是一个基于过程的模型,能够准确地量化物种水平和响应水分胁迫的空间上明确的二氧化碳交换速率。

著录项

  • 作者

    Reynolds, Robert Francis.;

  • 作者单位

    Clemson University.$bHorticulture.;

  • 授予单位 Clemson University.$bHorticulture.;
  • 学科 Agriculture Horticulture.; Biology Plant Physiology.
  • 学位 M.S.
  • 年度 2007
  • 页码 51 p.
  • 总页数 51
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 植物学;
  • 关键词

  • 入库时间 2022-08-17 11:39:19

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