特质
生态学
丰度(生态学)
生物
多元统计
栖息地
生物扩散
航程(航空)
理论(学习稳定性)
人口
生态系统
取舍
生态稳定性
统计
人口学
材料科学
数学
机器学习
社会学
计算机科学
复合材料
程序设计语言
作者
Luisa Conti,Enrique Valencia,Thomas Galland,Lars Götzenberger,Jan Lepš,Anna E‐Vojtkó,Carlos P. Carmona,Maria Májeková,Jiří Danihelka,Jürgen Dengler,David J. Eldridge,Marc Estiarte,Ricardo García‐González,Éric Garnier,Daniel Gómez,Věroslava Hadincová,Susan Harrison,Tomáš Herben,Ricardo Ibáñez,Anke Jentsch
标识
DOI:10.1101/2022.06.24.497476
摘要
Summary Ecological theory posits that temporal stability patterns in plant populations are associated with differences in species’ ecological strategies. However, empirical evidence is lacking about which traits, or trade-offs, underlie species stability, specially across different ecosystems. To address this, we compiled a global collection of long-term permanent vegetation records (>7000 plots from 78 datasets) from a wide range of habitats and combined this with existing trait databases. We tested whether the observed inter-annual variability in species abundance (coefficient of variation) was related to multiple individual traits and multivariate axes of trait variations (PCoA axes). We found that species with greater leaf dry matter content and seed mass were consistently more stable over time (lower variability in species abundance) although other leaf traits played a significant role as well, albeit weaker. Using multivariate axes did not improve predictions by specific traits. Our results confirm existing theory, providing compelling empirical evidence on the importance of specific traits, which point at ecological trade-offs in different resource use and dispersal strategies, on the stability of plant populations worldwide.
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