Biodiversity and productivity in eastern US forests

物种丰富度 系统发育多样性 生物多样性 生态学 生产力 特质 生物 系统发育树 物种多样性 α多样性 生态系统 生物量(生态学) 基因 生物化学 计算机科学 宏观经济学 经济 程序设计语言
作者
Yunpeng Liu,J. Aaron Hogan,Jeremy W. Lichstein,Robert Guralnick,Douglas E. Soltis,Pamela S. Soltis,Samuel M. Scheiner
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:121 (14)
标识
DOI:10.1073/pnas.2314231121
摘要

Despite experimental and observational studies demonstrating that biodiversity enhances primary productivity, the best metric for predicting productivity at broad geographic extents—functional trait diversity, phylogenetic diversity, or species richness—remains unknown. Using >1.8 million tree measurements from across eastern US forests, we quantified relationships among functional trait diversity, phylogenetic diversity, species richness, and productivity. Surprisingly, functional trait and phylogenetic diversity explained little variation in productivity that could not be explained by tree species richness. This result was consistent across the entire eastern United States, within ecoprovinces, and within data subsets that controlled for biomass or stand age. Metrics of functional trait and phylogenetic diversity that were independent of species richness were negatively correlated with productivity. This last result suggests that processes that determine species sorting and packing are likely important for the relationships between productivity and biodiversity. This result also demonstrates the potential confusion that can arise when interdependencies among different diversity metrics are ignored. Our findings show the value of species richness as a predictive tool and highlight gaps in knowledge about linkages between functional diversity and ecosystem functioning.
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