Intraspecific trait variation drives grassland species richness and productivity under changing precipitation

Ecosphere

Lin Jiang¹  Shaopeng Li²  Weixing Liu³  Ping Li³  Zhenhua Wang³  Meifeng Deng³  Zhou Jia³  Sen Yang³  Lulu Guo³  Lingli Liu³ 

[1] School of Biology Georgia Institute of Technology 310 Ferst Drive Atlanta Georgia 30332 USA;School of Ecological and Environmental Sciences East China Normal University Minxing Shanghai 200241 China;State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Xiangshan Beijing 100093 China;

关键词: biodiversity and productivity;    community assembly;    drylands;    external and internal filtering;    functional redundancy;    grasslands;   

DOI  :  10.1002/ecs2.3707

来源: DOAJ

【 摘 要 】

Abstract It has been increasingly recognized that plant traits and their intraspecific variation play pivotal roles in determining how ecosystem structure and function respond to a changing environment. Yet, it remains unclear how and which plant traits regulate the assembly process and thus affect ecosystem structure and function under climate changes. Here, we selected six steppe sites with snow fences along a precipitation gradient in inner Mongolia. We measured traits including plant height and leaf carbon, nitrogen, and phosphorus concentrations. We incorporated intraspecific trait variation to quantify the strength of external filters (assembly processes outside the community at a larger spatial scale), the strength of internal filters (assembly processes within the local community), and functional redundancy (the number of species having a similar function to an ecosystem). We applied these assembly rules to explain the changes in biodiversity and productivity in response to changing precipitation. We found that increased rainfall reduced plant carbon (C), nitrogen (N), and phosphorous (P) concentrations, but did not affect plant height. High snowfall increased phosphorous concentration, but did not affect other traits. Latent variable models identified climate (rainfall) and soil nutrient conditions (soil total N and P content) were more important than external filtering processes in predicting species richness. However, external filtering processes were the most important predictor of productivity. More specifically, we found with the increase in steppe productivity, the strength of the external filtering on leaf N increased and on plant height decreased, leading to leaf N converging into a small range but broadening the range of plant height. The internal filters had no significant effects on species richness or productivity. Additionally, we found that low precipitation reduced functional redundancy. We emphasize that intraspecific trait‐variation drives plant productivity and richness responses to precipitation changes by regulating community assemblage. Our finding also underlines the importance to separate the contributions of different functional traits in regulating the responses of ecosystem structure and function to climate changes.

【 授权许可】

Unknown