Miner Grace L, Bauerle William L, Baldocchi Dennis D
Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, 80523, USA.
Plant Cell Environ. 2017 Jul;40(7):1214-1238. doi: 10.1111/pce.12871. Epub 2017 Feb 18.
A common approach for estimating fluxes of CO and water in canopy models is to couple a model of photosynthesis (A ) to a semi-empirical model of stomatal conductance (g ) such as the widely validated and utilized Ball-Berry (BB) model. This coupling provides an effective way of predicting transpiration at multiple scales. However, the designated value of the slope parameter (m) in the BB model impacts transpiration estimates. There is a lack of consensus regarding how m varies among species or plant functional types (PFTs) or in response to growth conditions. Literature values are highly variable, with inter-species and intra-species variations of >100%, and comparisons are made more difficult because of differences in collection techniques. This paper reviews the various methods used to estimate m and highlights how variations in measurement techniques or the data utilized can influence the resultant m. Additionally, this review summarizes the reported responses of m to [CO ] and water stress, collates literature values by PFT and compiles nearly three decades of values into a useful compendium.
在冠层模型中估算二氧化碳和水汽通量的常用方法是将光合作用模型（A）与气孔导度半经验模型（g）相结合，比如广泛验证和应用的鲍尔-贝里（BB）模型。这种耦合提供了一种在多个尺度上预测蒸腾作用的有效方法。然而，BB模型中斜率参数（m）的指定值会影响蒸腾估算。关于m在不同物种或植物功能类型（PFTs）之间如何变化，或者如何响应生长条件，目前尚无共识。文献中的值变化很大，种间和种内差异超过100%，而且由于采集技术的差异，使得比较变得更加困难。本文综述了用于估算m的各种方法，并强调了测量技术或所使用数据的变化如何影响最终得到的m。此外，本综述总结了所报道的m对[CO]和水分胁迫的响应，按PFT整理文献值，并将近三十年的值汇编成一个有用的简编。
