Predicting maximum tree heights and other traits from allometric scaling and resource limitations.
Predicting maximum tree heights and other traits from allometric scaling and resource limitations.
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DOI：
10.1371/journal.pone.0020551
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Girvan M
中科院分区：
文献类型：
--
作者：
Kempes CP;West GB;Crowell K;Girvan M
陆地植被在调节碳和水循环以及调节地球的生态平衡方面起着核心作用。因此，对植被动态的清晰理解和准确描述对于理解和模拟更广泛的气候系统至关重要。最大树高是森林植被的一个重要特征，因为它直接关系到许多生态和环境量的总体规模，是了解植物群落若干特性的一个重要指标，包括总现存生物量和资源利用。我们提出了一个模型，预测当地最大的树高在整个美国大陆，在良好的协议与数据。该模型结合了标度律，它编码的平均，基线行为的许多树木的特点，与能源预算的限制，当地的资源限制，如降水，温度和太阳辐射。除了预测环境中的最大树高之外，我们的框架还可以扩展到预测其他树木特征（例如气孔密度）如何取决于这些资源限制。此外，它还提供了高度和整个冠层辐射之间关系的预测，这对于理解地球的辐射收支是重要的，而辐射收支是气候系统的一个关键组成部分。由于我们的模型侧重于主要特征，这些特征由一小部分机制表示，因此可以很容易地集成到更复杂的生态或气候模型中。
Terrestrial vegetation plays a central role in regulating the carbon and water cycles, and adjusting planetary albedo. As such, a clear understanding and accurate characterization of vegetation dynamics is critical to understanding and modeling the broader climate system. Maximum tree height is an important feature of forest vegetation because it is directly related to the overall scale of many ecological and environmental quantities and is an important indicator for understanding several properties of plant communities, including total standing biomass and resource use. We present a model that predicts local maximal tree height across the entire continental United States, in good agreement with data. The model combines scaling laws, which encode the average, base-line behavior of many tree characteristics, with energy budgets constrained by local resource limitations, such as precipitation, temperature and solar radiation. In addition to predicting maximum tree height in an environment, our framework can be extended to predict how other tree traits, such as stomatal density, depend on these resource constraints. Furthermore, it offers predictions for the relationship between height and whole canopy albedo, which is important for understanding the Earth's radiative budget, a critical component of the climate system. Because our model focuses on dominant features, which are represented by a small set of mechanisms, it can be easily integrated into more complicated ecological or climate models.
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影响因子：
5.5
作者：
Falster, DS;Westoby, M
通讯作者：
Westoby, M
影响因子：
6.2
作者：
Beringer, J;Chapin, FS;McGuire, AD
通讯作者：
McGuire, AD
影响因子：
5.2
作者：
Haxeltine, A;Prentice, IC
通讯作者：
Prentice, IC
影响因子：
5.5
作者：
BOTKIN, DB;WALLIS, JR;JANAK, JF
通讯作者：
JANAK, JF
影响因子：
2
作者：
MCMAHON, TA;KRONAUER, RE
通讯作者：
KRONAUER, RE