特质
生物多样性
生态系统
生态学
物种丰富度
偏斜
丰度(生态学)
生物
环境资源管理
地理
环境科学
计量经济学
计算机科学
数学
程序设计语言
作者
Nicolas Gross,Yoann Le Bagousse‐Pinguet,Pierre Liancourt,Miguel Berdugo,Nicholas J. Gotelli,Fernando T. Maestre
标识
DOI:10.1038/s41559-017-0132
摘要
Understanding the relationship between biodiversity and ecosystem functioning has been a core ecological research topic over the last decades. Although a key hypothesis is that the diversity of functional traits determines ecosystem functioning, we do not know how much trait diversity is needed to maintain multiple ecosystem functions simultaneously (multifunctionality). Here, we uncovered a scaling relationship between the abundance distribution of two key plant functional traits (specific leaf area, maximum plant height) and multifunctionality in 124 dryland plant communities spread over all continents except Antarctica. For each trait, we found a strong empirical relationship between the skewness and the kurtosis of the trait distributions that cannot be explained by chance. This relationship predicted a strikingly high trait diversity within dryland plant communities, which was associated with a local maximization of multifunctionality. Skewness and kurtosis had a much stronger impact on multifunctionality than other important multifunctionality drivers such as species richness and aridity. The scaling relationship identified here quantifies how much trait diversity is required to maximize multifunctionality locally. Trait distributions can be used to predict the functional consequences of biodiversity loss in terrestrial ecosystems.
科研通智能强力驱动
Strongly Powered by AbleSci AI