Goodman Isabella R, Felton Andrew J
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, 59717, USA.
Yale School of the Environment, Yale University, New Haven, CT, 06511, USA.
Oecologia. 2025 Aug 22;207(9):149. doi: 10.1007/s00442-025-05785-2.
Despite the water-limited nature of dryland ecosystems, interannual variability in precipitation (PPT) fails to explain a significant fraction of interannual variability in net primary productivity (NPP). One hypothesis states that these weak temporal NPP-PPT associations arise from the lagged effects of previous-year conditions, denoted as "legacy effects," which may amplify or constrain NPP in subsequent years. Although evidence suggests the existence of legacy effects in many ecosystem types, their generality in drylands remains unclear. We used long-term (35-year) remotely sensed estimates of NPP, climate, and a vegetation structure across the western United States to quantify the sign, magnitude, and drivers of legacy effects, defined as the lagged effects of previous-year weather and NPP anomalies on current-year NPP. Legacy effects exert a widespread effect on interannual variability in NPP across drylands spanning annual and perennial grasslands to hot and cold deserts. Previous-year NPP anomalies were the strongest predictor of current-year NPP anomalies, both across the entire time series and during specific extreme-to-average year transitions. The association between previous- and current-year NPP anomalies was consistently positive, indicating that a productive previous year will tend to result in a productive current year, and vice versa, even after accounting for the effect of current-year PPT. The strength of legacy effects increased slightly with increasing mean annual PPT and decreased slightly with an increase in the average fraction of herbaceous NPP. We conclude that legacy effects consistently effect current-year NPP in drylands and that consideration of these effects can improve predictions of temporal variation in dryland NPP.
尽管旱地生态系统受水限制,但降水(PPT)的年际变化并不能解释净初级生产力(NPP)年际变化的很大一部分。一种假说是,这些较弱的NPP与PPT的时间关联源于上一年条件的滞后效应,即“遗留效应”,这种效应可能会在随后几年中放大或限制NPP。尽管有证据表明在许多生态系统类型中存在遗留效应,但它们在旱地中的普遍性仍不清楚。我们利用美国西部长期(35年)的NPP、气候和植被结构的遥感估计来量化遗留效应的符号、大小和驱动因素,遗留效应定义为上一年天气和NPP异常对当年NPP的滞后效应。遗留效应在旱地的年际NPP变化中产生广泛影响,范围涵盖一年生和多年生草地到炎热和寒冷的沙漠。上一年的NPP异常是当年NPP异常的最强预测因子,无论是在整个时间序列中还是在特定的从极端年份到平均年份的转变期间。上一年和当年NPP异常之间的关联始终为正,这表明上一年生产力高往往会导致当年生产力高,反之亦然,即使在考虑了当年PPT的影响之后也是如此。遗留效应的强度随着年平均PPT的增加而略有增加,随着草本NPP平均比例的增加而略有下降。我们得出结论,遗留效应持续影响旱地的当年NPP,考虑这些效应可以改善对旱地NPP时间变化的预测。