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A model to account for potential correlations between growth of loblolly pine and changing ambient carbon dioxide concentrations

机译:解释火炬松生长与环境二氧化碳浓度变化之间潜在关系的模型

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Continuously increasing concentrations of atmospheric carbon dioxide (CO2) may be leading to enhanced growth rates for loblolly pine. In order to plan effectively silvicultural regimes and harvesting schedules, managers of loblolly pine plantations may wish to account for these potential changes when making growth and yield projections. Data from 94 unthinned plots across the Southeast were used to develop an equation that utilizes change in ambient CO2 concentration and initial site quality to predict change in site index (DeltaSI). For a given change in CO2 concentration, a greater increase in site index is afforded to lower quality sites. The DeltaSI equation was incorporated into a loblolly pine growth model. Simulations with and without site index adjustments were performed and plot volume estimates were compared to observed values. Mean percent residual dropped from 9.7% with no adjustment to -0.5% when DeltaSI was employed. Forest managers can use this model to evaluate how possible CO2-induced growth increases may affect long-term timber yields and management strategies.
机译:持续增加大气中二氧化碳(CO2)的浓度可能会导致火炬松的生长速率提高。为了有效地计划造林制度和收获时间表,火炬松人工林的管理者可能希望在做出生长和产量预测时考虑到这些潜在的变化。来自东南部94个未稀疏样地的数据被用来开发一个方程,该方程利用环境CO2浓度和初始站点质量的变化来预测站点指数(DeltaSI)的变化。对于给定的CO2浓度变化,较低质量的站点将获得更大的站点指数增加。将DeltaSI方程合并到火炬松生长模型中。进行带有和不带有站点索引调整的模拟,并将样地体积估计值与观测值进行比较。当使用DeltaSI时,平均残留百分比从9.7%下降至-0.5%,没有进行任何调整。森林管理者可以使用此模型来评估由CO2引起的增长可能如何影响长期木材产量和管理策略。

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