Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation
Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation
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DOI：
10.1111/1365-2745.13560
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发表时间：
2020-11
影响因子：
5.5
通讯作者：
Vanessa E. Rubio;Jenny Zambrano;Y. Iida;M. Umaña;N. Swenson
中科院分区：
文献类型：
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作者：
Vanessa E. Rubio;Jenny Zambrano;Y. Iida;M. Umaña;N. Swenson
个人层面的人口统计结果应该是可预测的基础上的特质。然而，将性状与树木性能联系起来已被证明具有挑战性，可能是由于未能考虑生理性状（即硬性状）以及未能整合器官水平和整个植物水平的性状信息。在这里，我们模拟了树木的存活率和相对生长率，同时考虑了树冠分配，硬性状和局部规模的生物相互作用，并将这些模型与更传统的基于性状的树木性能模型进行了比较。我们发现，一个综合性状，总树级光合质量（估计乘以比叶面积和冠面积）的树木存活和生长的上级模型的结果。这些模型的AIC低于那些包括初始树木大小或所考虑的任何其他特征组合的影响的模型。成活率呈正相关，冠面积和光合质量较高的值，而相对生长率呈负相关的光合质量。相对增长率呈负相关的邻里拥挤指数。此外，本研究中使用的硬性状均未改善树木性能模型。合成.总的来说，我们的研究结果强调，树木的性能模型可以大大提高，包括冠面积信息，以产生更好地了解植物对其环境的反应。此外，硬性状在改善树木性能模型中的作用可能取决于特定森林经历的压力水平（例如干旱压力），微环境条件或短期气候变化。
Individual‐level demographic outcomes should be predictable upon the basis of traits. However, linking traits to tree performance has proven challenging likely due to a failure to consider physiological traits (i.e. hard‐traits) and the failure to integrate organ‐level and whole plant‐level trait information. Here, we modelled the survival rate and relative growth rate of trees while considering crown allocation, hard‐traits and local‐scale biotic interactions, and compared these models to more traditional trait‐based models of tree performance. We found that an integrative trait, total tree‐level photosynthetic mass (estimated by multiplying specific leaf area and crown area) results in superior models of tree survival and growth. These models had a lower AIC than those including the effect of initial tree size or any other combination of the traits considered. Survival rates were positively related to higher values of crown area and photosynthetic mass, while relative growth rates were negatively related to the photosynthetic mass. Relative growth rates were negatively related to a neighbourhood crowding index. Furthermore, none of the hard‐traits used in this study provided an improvement in tree performance models. Synthesis. Overall, our results highlight that models of tree performance can be greatly improved by including crown area information to generate a better understanding of plant responses to their environment. Additionally, the role of the hard‐traits in improving models of tree performance is likely dependent upon the level of stress (e.g. drought stress), micro‐environmental conditions or short‐term climatic variations that a particular forest experiences.