异步(计算机编程)
生态学
理论(学习稳定性)
生态系统
功能群
功能性反应
背景(考古学)
生物
捕食
化学
计算机科学
异步通信
聚合物
有机化学
古生物学
机器学习
捕食者
计算机网络
作者
Mengjiao Huang,Xiang Liu,Shurong Zhou
标识
DOI:10.1111/1365-2745.13418
摘要
Abstract A number of theoretical and empirical studies have demonstrated the effects of perturbations on ecosystem stability. Compensatory dynamics among taxonomic units have been proposed as a major mechanism regulating the temporal stability of biomass production (hereafter ‘temporal stability’). However, most studies have focused on the effects of species asynchrony on temporal stability in response to perturbations, and few studies examined how compensatory changes among functional groups affected temporal stability. Here, we conducted a 4‐year functional group removal experiment and a 4‐year experimental warming and nitrogen addition experiment in an alpine meadow of Qinghai‐Tibetan Plateau to investigate the effects of perturbations (functional group removal, experimental warming and nitrogen addition) on temporal stability and the potential mechanisms. In both experiments, temporal stability was positively related to both species and functional group asynchrony. However, species asynchrony and functional group asynchrony responded differently to different types of perturbations. In the removal experiment, although asynchrony among both species and functional groups decreased as more functional groups were removed, structural equation modelling showed that removal of different functional groups could affect temporal stability through altering either species or functional group asynchrony. Warming suppressed temporal stability through decreasing asynchrony among species, while nitrogen addition reduced temporal stability mainly through decreasing functional group asynchrony. Synthesis . Our findings demonstrate the importance of considering compensatory dynamics at different taxonomic levels for predicting temporal stability under anthropogenic perturbations in alpine meadows, and throw light on the importance of protecting both species and functional group richness to maintain temporal stability in the context of global change.
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