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DOI | 10.1088/1748-9326/ab8a88 |
Higher-order interactions mitigate direct negative effects on population dynamics of herbaceous plants during succession | |
Xiao J.; Li Y.; Chu C.; Wang Y.; Meiners S.J.; Stouffer D.B. | |
发表日期 | 2020 |
ISSN | 17489318 |
卷号 | 15期号:7 |
英文摘要 | Plant succession is regulated by a combination of abiotic and biotic factors. However, previous studies of biotic drivers have focused overwhelmingly on direct pairwise species interactions, ignoring the likely prevalent higher-order interactions (HOIs) in natural systems. Climate also plays a significant role in determining successional dynamics with both direct effects and indirect effects via altered biotic interactions. Here we explored the relative effects of direct species interactions, HOIs, climate, and their interactions on population dynamics of herbaceous plants during 50 years of post-agricultural secondary succession and tested whether the inclusion of HOIs and climate data improved forecasts of population dynamics. Direct intraspecific interactions were competitive and prevalent across the 90 herbaceous plants examined, while direct interspecific interactions only affected populations of 29% species. HOIs, mainly arose from intraspecific HOIs of conspecifics, were mostly positive and thus largely mitigated the competitive effects of direct intraspecific interactions. Species with lower peak cover experienced stronger intraspecific competition and positive intraspecific HOIs of conspecifics. Direct interspecific interactions had neutral or facilitative effects on species with lower peak cover, and tended to have competitive effects on species with higher peak cover. Climate simultaneously influenced population dynamics both directly and indirectly via altered species interactions. Forecast performance was significantly improved with the inclusion of HOIs or climate for about half and one-third of species, respectively. Our study emphasizes the importance of HOIs, which largely mitigated direct competitive effects on population dynamics of herbaceous plants during succession. Teasing apart HOIs from direct species interactions substantially refined our understanding of successional dynamics of herbaceous plants and improved the accuracy of forecasting population dynamics during succession in a changing world. © 2020 The Author(s). Published by IOP Publishing Ltd. |
英文关键词 | Buell-Small Succession Study; climate change; herbaceous plant; higher-order interactions; intraspecific competition; old-field succession; population dynamics |
语种 | 英语 |
scopus关键词 | Agricultural robots; Dynamics; Forecasting; Population dynamics; Population statistics; Biotic interactions; Competitive effects; Forecast performance; Interspecific interactions; Intra-specific interactions; Intraspecific competition; Secondary succession; Species interactions; Plants (botany); conspecific; environmental factor; herb; intraspecific interaction; population dynamics; succession |
来源期刊 | Environmental Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/153937 |
作者单位 | Department of Ecology, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China; Department of Biological Sciences, Eastern Illinois University, Charleston, IL 61920, United States; Centre for Integrative Ecology, University of Canterbury, Christchurch, 8140, New Zealand; Sun Yat-sen University, Xingang Xi Road 135, Guangzhou, 510275, China |
推荐引用方式 GB/T 7714 | Xiao J.,Li Y.,Chu C.,et al. Higher-order interactions mitigate direct negative effects on population dynamics of herbaceous plants during succession[J],2020,15(7). |
APA | Xiao J.,Li Y.,Chu C.,Wang Y.,Meiners S.J.,&Stouffer D.B..(2020).Higher-order interactions mitigate direct negative effects on population dynamics of herbaceous plants during succession.Environmental Research Letters,15(7). |
MLA | Xiao J.,et al."Higher-order interactions mitigate direct negative effects on population dynamics of herbaceous plants during succession".Environmental Research Letters 15.7(2020). |
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