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半干旱生态系统对降水极值的敏感性:植被约束的证据较弱。

Semiarid ecosystem sensitivity to precipitation extremes: weak evidence for vegetation constraints.

机构信息

Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Fort Collins, Colorado, 80523, USA.

出版信息

Ecology. 2019 Feb;100(2):e02572. doi: 10.1002/ecy.2572. Epub 2019 Jan 4.

Abstract

In semiarid regions, vegetation constraints on plant growth responses to precipitation (PPT) are hypothesized to place an upper limit on net primary productivity (NPP), leading to predictions of future shifts from currently defined linear to saturating NPP-PPT relationships as increases in both dry and wet PPT extremes occur. We experimentally tested this prediction by imposing a replicated gradient of growing season PPT (GSP, n = 11 levels, n = 4 replicates), ranging from the driest to wettest conditions in the 75-yr climate record, within a semiarid grassland. We focused on responses of two key ecosystem processes: aboveground NPP (ANPP) and soil respiration (R ). ANPP and R both exhibited greater relative responses to wet vs. dry GSP extremes, with a linear relationship consistently best explaining the response of both processes to GSP. However, this responsiveness to GSP peaked at moderate levels of extremity for both processes, and declined at the most extreme GSP levels, suggesting that greater sensitivity of ANPP and R to wet vs. dry conditions may diminish under increased magnitudes of GSP extremes. Underlying these responses was rapid plant compositional change driven by increased forb production and cover as GSP transitioned to extreme wet conditions. This compositional shift increased the magnitude of ANPP responses to wet GSP extremes, as well as the slope and variability explained in the ANPP-GSP relationship. Our findings suggest that rapid plant compositional change may act as a mediator of semiarid ecosystem responses to predicted changes in GSP extremes.

摘要

在半干旱地区,植被对降水(PPT)的生长响应的限制被假设为净初级生产力(NPP)的上限,导致预测未来将从目前定义的线性关系转变为饱和的 NPP-PPT 关系,因为干湿极端 PPT 的增加都会出现。我们通过在半干旱草原内实验性地施加生长季节 PPT(GSP)的重复梯度(n=11 个水平,n=4 个重复)来检验该预测,范围从 75 年气候记录中最干旱到最潮湿的条件。我们重点关注两个关键生态系统过程的响应:地上净初级生产力(ANPP)和土壤呼吸(R)。ANPP 和 R 对干湿 GSP 极端条件的相对响应均较大,线性关系始终能最好地解释两个过程对 GSP 的响应。然而,这两个过程对 GSP 的响应在极端程度适中的情况下达到峰值,并在最极端的 GSP 水平下降,这表明 ANPP 和 R 对干湿条件的敏感性可能会随着 GSP 极端程度的增加而降低。这些响应的基础是植物组成的快速变化,这种变化是由 GSP 过渡到极端潮湿条件下的植物数量增加和覆盖度增加所驱动的。这种组成变化增加了对湿 GSP 极端条件的 ANPP 响应的幅度,以及对 ANPP-GSP 关系的斜率和可变性的解释。我们的研究结果表明,快速的植物组成变化可能是半干旱生态系统对 GSP 极端变化的响应的中介。

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