Department of Wildland Resources and The Ecology Center, Utah State University, Logan, UT, USA.
Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
Glob Chang Biol. 2021 Mar;27(6):1127-1140. doi: 10.1111/gcb.15480. Epub 2020 Dec 20.
In terrestrial ecosystems, climate change forecasts of increased frequencies and magnitudes of wet and dry precipitation anomalies are expected to shift precipitation-net primary productivity (PPT-NPP) relationships from linear to nonlinear. Less understood, however, is how future changes in the duration of PPT anomalies will alter PPT-NPP relationships. A review of the literature shows strong potential for the duration of wet and dry PPT anomalies to impact NPP and to interact with the magnitude of anomalies. Within semi-arid and mesic grassland ecosystems, PPT gradient experiments indicate that short-duration (1 year) PPT anomalies are often insufficient to drive nonlinear aboveground NPP responses. But long-term studies, within desert to forest ecosystems, demonstrate how multi-year PPT anomalies may result in increasing impacts on NPP through time, and thus alter PPT-NPP relationships. We present a conceptual model detailing how NPP responses to PPT anomalies may amplify with the duration of an event, how responses may vary in xeric vs. mesic ecosystems, and how these differences are most likely due to demographic mechanisms. Experiments that can unravel the independent and interactive impacts of the magnitude and duration of wet and dry PPT anomalies are needed, with multi-site long-term PPT gradient experiments particularly well-suited for this task.
在陆地生态系统中,预计气候变化将导致降水异常的频率和幅度增加,这将使降水-净初级生产力(PPT-NPP)关系从线性转变为非线性。然而,未来降水异常持续时间的变化将如何改变 PPT-NPP 关系,这一点还不太清楚。文献综述表明,降水异常持续时间对 NPP 有很大的影响,并与异常幅度相互作用。在半干旱和湿润草原生态系统中,PPT 梯度实验表明,短时间(1 年)的 PPT 异常通常不足以引起地上 NPP 的非线性响应。但在沙漠到森林生态系统的长期研究中,已经证明多年的 PPT 异常可能会随着时间的推移对 NPP 产生越来越大的影响,从而改变 PPT-NPP 关系。我们提出了一个概念模型,详细说明了 NPP 对 PPT 异常的响应如何随着事件持续时间的增加而放大,在干旱和湿润生态系统中响应可能如何变化,以及这些差异最可能是由于人口统计机制造成的。需要进行能够揭示干湿 PPT 异常幅度和持续时间的独立和交互影响的实验,多地点长期 PPT 梯度实验特别适合这项任务。