Reynolds James F, Kemp Paul R, Ogle Kiona, Fernández Roberto J
Division of Environmental Science and Policy, Nicholas School of the Environment & Earth Science, Duke University, Phytotron Bldg., Durham, NC 27708-0340, USA.
Oecologia. 2004 Oct;141(2):194-210. doi: 10.1007/s00442-004-1524-4. Epub 2004 Mar 20.
The 'pulse-reserve' conceptual model--arguably one of the most-cited paradigms in aridland ecology--depicts a simple, direct relationship between rainfall, which triggers pulses of plant growth, and reserves of carbon and energy. While the heuristics of 'pulses', 'triggers' and 'reserves' are intuitive and thus appealing, the value of the paradigm is limited, both as a conceptual model of how pulsed water inputs are translated into primary production and as a framework for developing quantitative models. To overcome these limitations, we propose a revision of the pulse-reserve model that emphasizes the following: (1) what explicitly constitutes a biologically significant 'rainfall pulse', (2) how do rainfall pulses translate into usable 'soil moisture pulses', and (3) how are soil moisture pulses differentially utilized by various plant functional types (FTs) in terms of growth? We explore these questions using the patch arid lands simulation (PALS) model for sites in the Mojave, Sonoran, and Chihuahuan deserts of North America. Our analyses indicate that rainfall variability is best understood in terms of sequences of rainfall events that produce biologically-significant 'pulses' of soil moisture recharge, as opposed to individual rain events. In the desert regions investigated, biologically significant pulses of soil moisture occur in either winter (October-March) or summer (July-September), as determined by the period of activity of the plant FTs. Nevertheless, it is difficult to make generalizations regarding specific growth responses to moisture pulses, because of the strong effects of and interactions between precipitation, antecedent soil moisture, and plant FT responses, all of which vary among deserts and seasons. Our results further suggest that, in most soil types and in most seasons, there is little separation of soil water with depth. Thus, coexistence of plant FTs in a single patch as examined in this PALS study is likely to be fostered by factors that promote: (1) separation of water use over time (seasonal differences in growth), (2) relative differences in the utilization of water in the upper soil layers, or (3) separation in the responses of plant FTs as a function of preceding conditions, i.e., the physiological and morphological readiness of the plant for water-uptake and growth. Finally, the high seasonal and annual variability in soil water recharge and plant growth, which result from the complex interactions that occur as a result of rainfall variability, antecedent soil moisture conditions, nutrient availability, and plant FT composition and cover, call into question the use of simplified vegetation models in forecasting potential impacts of climate change in the arid zones in North America.
“脉冲 - 储备”概念模型——可以说是干旱地区生态学中引用最多的范式之一——描绘了降雨(引发植物生长脉冲)与碳和能量储备之间简单、直接的关系。虽然“脉冲”“触发因素”和“储备”这些启发式概念直观且具有吸引力,但该范式的价值有限,无论是作为脉冲式水分输入如何转化为初级生产的概念模型,还是作为开发定量模型的框架。为克服这些局限性,我们提出对脉冲 - 储备模型进行修订,重点强调以下几点:(1)明确构成具有生物学意义的“降雨脉冲”的要素;(2)降雨脉冲如何转化为可用的“土壤水分脉冲”;(3)不同植物功能类型(FTs)在生长方面如何差异利用土壤水分脉冲。我们使用北美莫哈韦沙漠、索诺兰沙漠和奇瓦瓦沙漠地区的斑块干旱土地模拟(PALS)模型来探讨这些问题。我们的分析表明,降雨变异性最好从产生具有生物学意义的土壤水分补给“脉冲”的降雨事件序列来理解,而不是单个降雨事件。在所研究的沙漠地区,具有生物学意义的土壤水分脉冲出现在冬季(10月至次年3月)或夏季(7月至9月),这取决于植物功能类型的活动时期。然而,由于降水、前期土壤湿度和植物功能类型响应之间的强烈影响和相互作用,很难对水分脉冲的具体生长响应进行概括,这些因素在不同沙漠和季节中各不相同。我们的结果进一步表明,在大多数土壤类型和大多数季节中,土壤水分随深度的分离很小。因此,本PALS研究中所研究的单个斑块中植物功能类型的共存可能受到以下因素的促进:(1)水分利用在时间上的分离(生长的季节差异);(2)上层土壤层水分利用的相对差异;(3)植物功能类型的响应根据前期条件的分离,即植物对水分吸收和生长的生理和形态准备状态。最后,由于降雨变异性、前期土壤湿度条件、养分有效性以及植物功能类型组成和覆盖度之间复杂的相互作用导致的土壤水分补给和植物生长的高季节性和年度变异性,使得在预测北美干旱地区气候变化的潜在影响时使用简化植被模型受到质疑。