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模拟极端降雨对巴西干旱森林多年生和一年生草本植物营养期的影响。

Effect of simulated extreme rainfall on the vegetative phenology of perennial and annual herbaceous plants from a Brazilian dry forest.

机构信息

Centro de Ciências da Natureza, Universidade Federal do Piauí, Teresina, Brazil.

Centro Acadêmico de Vitória (CAV), Universidade Federal de Pernambuco, Recife, Brazil.

出版信息

Plant Biol (Stuttg). 2024 Aug;26(5):868-877. doi: 10.1111/plb.13674. Epub 2024 Jul 5.

Abstract

Detecting changes in the phenological responses of herbaceous species as a function of predicted climate change is important for forecasting future scenarios for the functioning of dry tropical forests, especially when predicting an increase in the frequency and intensity of extreme droughts. Because of the sensitivity of plants to water availability, our study hypothesizes that if years become drier or wetter, herbaceous plants will synchronously change the onset, duration, and intensity of their vegetative phenophases. We used a historical series of 60 years of precipitation observations for the Caatinga vegetation to define daily average of precipitation for rainy (T), median (T), and dry (T) years. We simulated past average daily rainfall (T, T, and T) while growing two herbaceous perennials and two herbaceous annuals. We monitored plant growth and measured the activity (absence or presence) and intensity of vegetative phenophases. We used circular statistical analysis to assess differences between treatments. Our results revealed that leaf production was seasonal but relatively uniform for perennial species and highly seasonal (wet season) for annual species. Simulated dry years induced lower leaf emergence concentrated over a few months in annual species, but this effect was more strongly significant in one of the two perennial species. Both annual and perennial species can experience delayed and less intense leaf abscission during the rainy season in years with below-average precipitation. In contrast, large voluminous rains in years with above-average precipitation can accelerate and intensify the process of leaf renewal. If future precipitation reductions occur, the changes in phenological response indicate that the cover of annual and perennial herbaceous species in this study will likely decrease, altering the landscape and functioning of dry tropical forests. However, the potential trade-offs observed may help populations of these species to persist during years of severe drought in the Caatinga.

摘要

检测草本物种物候响应随预测气候变化的变化对于预测干旱热带森林未来的功能情景非常重要,尤其是在预测极端干旱的频率和强度增加时。由于植物对水分供应的敏感性,我们的研究假设,如果年份变得更干燥或更湿润,草本植物将同步改变其营养物候期的开始、持续时间和强度。我们使用了 60 年的卡廷加植被降水观测历史序列来定义雨天(T)、中位数(T)和干燥天(T)的日平均降水量。我们模拟了过去的平均日降雨量(T、T 和 T),同时种植了两种多年生草本植物和两种一年生草本植物。我们监测植物生长并测量营养物候期的活动(存在或不存在)和强度。我们使用圆形统计分析来评估处理之间的差异。我们的结果表明,叶片生产具有季节性,但对于多年生物种相对均匀,而对于一年生物种则具有很强的季节性(雨季)。模拟的干旱年份导致一年生物种的叶片出现时间延迟且数量减少,主要集中在几个月内,但这种效应在两种多年生物种中的一种中更为显著。在降水低于平均值的年份中,无论是一年生还是多年生物种,在雨季都可能会延迟且叶片脱落强度降低。相比之下,降水高于平均值的年份中的大量降雨会加速并加剧叶片更新过程。如果未来降水量减少,物候响应的变化表明,本研究中一年生和多年生草本物种的覆盖范围可能会减少,从而改变干旱热带森林的景观和功能。然而,观察到的潜在权衡可能有助于这些物种的种群在卡廷加干旱年份中持续存在。

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