CSIRO Ecosystem Science, Climate Adaptation Flagship and Sustainable Agriculture Flagship, Private Bag 12, Hobart 7001, Australia.
Tree Physiol. 2011 Jul;31(7):686-99. doi: 10.1093/treephys/tpr054. Epub 2011 Jul 11.
The current approach to modelling pest impacts on forest net primary production (NPP) is to apply a constant modifier. This does not capture the large spatial and temporal variability in pest abundance and activity that can occur, meaning that overestimates or underestimates of pest impacts on forest NPP are likely. Taking a more mechanistic approach that incorporates an understanding of how physiology is influenced by pest attack, enables us to better capture system feedbacks and dynamics, thereby improving the capacity to predict into novel situations such as changing climate, and to account for both changes in pest activity and host responses to the growing environment now and into the future. We reviewed the effects of pests on forest NPP and found a range of responses and physiological mechanisms underlying those responses. Pest outbreaks can clearly be a major perturbation to forest NPP, and it seems likely that the frequency and intensity of pest outbreaks, and the ways in which host species respond to pest damage, will change in the future. We summarized these impacts in the form of a conceptual model at leaf, tree and stand scales, and compared the physiological processes embedded within that framework with the capacity of a representative range of NPP models to capture those processes. We found that some models can encapsulate some of the processes, but no model can comprehensively account for the range of physiological responses to pest attack experienced by trees. This is not surprising, given the paucity of empirical data for most of the world's forests, and that the models were developed primarily for other purposes. We conclude with a list of the key physiological processes and pathways that need to be included in forest growth models in order to adequately capture pest impacts on forest NPP under current and future climate scenarios, the equations that might enable this and the empirical data required to support them.
当前,对害虫影响森林净初级生产力(NPP)的建模方法是应用一个常量修正值。这种方法无法捕捉到害虫丰度和活动可能发生的大空间和时间变化,这意味着对害虫对森林 NPP 的影响的高估或低估很可能发生。采取更具机制性的方法,纳入对害虫攻击如何影响生理学的理解,使我们能够更好地捕捉系统反馈和动态,从而提高在新情况下(如气候变化)进行预测的能力,并考虑到害虫活动的变化以及现在和未来宿主对生长环境的反应。我们回顾了害虫对森林 NPP 的影响,发现了一系列反应和潜在这些反应的生理机制。害虫爆发显然可以对森林 NPP 造成重大干扰,而且未来害虫爆发的频率和强度以及宿主物种对害虫损害的反应方式似乎很可能会发生变化。我们以叶片、树木和林分尺度的概念模型的形式总结了这些影响,并比较了该框架内嵌入的生理过程与一系列具有代表性的 NPP 模型捕捉这些过程的能力。我们发现,一些模型可以包含一些过程,但没有一个模型可以全面解释树木对害虫攻击的一系列生理反应。考虑到世界上大多数森林的经验数据匮乏,并且这些模型主要是为其他目的而开发的,这并不奇怪。我们最后列出了在森林生长模型中需要包含的关键生理过程和途径,以便在当前和未来气候情景下充分捕捉害虫对森林 NPP 的影响、可能实现这一目标的方程以及支持这些方程所需的经验数据。