气候变化领域集成服务门户(CCPortal): How warming and other stressors affect zooplankton abundance; biomass and community composition in shallow eutrophic lakes

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DOI	10.1007/s10584-020-02698-2
	How warming and other stressors affect zooplankton abundance; biomass and community composition in shallow eutrophic lakes
	Cremona F.; Agasild H.; Haberman J.; Zingel P.; Nõges P.; Nõges T.; Laas A.
发表日期	2020
ISSN	0165-0009
起始页码	565
结束页码	580
卷号	159 期号:4
英文摘要	We aimed to investigate the influence of environmental factors and predict zooplankton biomass and abundance in shallow eutrophic lakes. We employed time series of zooplankton and environmental parameters that were measured monthly during 38 years in a large, shallow eutrophic lake in Estonia to build estimates of zooplankton community metrics (cladocerans, copepods, rotifers, ciliates). The analysis of historical time series revealed that air temperature was by far the most important variable for explaining zooplankton biomass and abundance, followed, in decreasing order of importance, by pH, phytoplankton biomass and nitrate concentration. Models constructed with the best predicting variables explained up to 71% of zooplankton biomass variance. Most of the predictive variables had opposing or antagonistic interactions, often mitigating the effect of temperature. In the second part of the study, three future climate scenarios were developed following different Intergovernmental Panel on Climate Change (IPCC) temperature projections and entered into an empirical model. Simulation results showed that only a scenario in which air temperature stabilizes would curb total metazooplankton biomass and abundance. In other scenarios, metazooplankton biomass and abundance would likely exceed historical ranges whereas ciliates would not expand. Within the metazooplankton community, copepods would increase in biomass and abundance, whereas cladocerans would lose in biomass but not in abundance. These changes in the zooplankton community will have important consequences for lake trophic structure and ecosystem functioning. © 2020, Springer Nature B.V.
英文关键词	Empirical modelling; Interactions; Multiple stressors; Shallow lake; Warming; Zooplankton
语种	英语
scopus关键词	Atmospheric temperature; Climate change; Climate models; Eutrophication; Lakes; Plankton; Time series; Time series analysis; Antagonistic interactions; Effect of temperature; Environmental parameter; Future climate scenarios; Intergovernmental panel on climate changes; Phytoplankton biomass; Temperature projection; Zooplankton communities; Biomass; abundance; air temperature; biomass; community structure; concentration (composition); environmental factor; eutrophic environment; future prospect; Intergovernmental Panel on Climate Change; lake water; nitrate; pH; phytoplankton; time series analysis; zooplankton; Estonia; Ciliophora; Copepoda; Rotifera
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147203
作者单位	Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Science, Estonian University of Life Sciences, Kreutzwaldi 5, Tartu, 51006, Estonia
推荐引用方式 GB/T 7714	Cremona F.,Agasild H.,Haberman J.,et al. How warming and other stressors affect zooplankton abundance; biomass and community composition in shallow eutrophic lakes[J],2020,159(4).
APA	Cremona F..,Agasild H..,Haberman J..,Zingel P..,Nõges P..,...&Laas A..(2020).How warming and other stressors affect zooplankton abundance; biomass and community composition in shallow eutrophic lakes.Climatic Change,159(4).
MLA	Cremona F.,et al."How warming and other stressors affect zooplankton abundance; biomass and community composition in shallow eutrophic lakes".Climatic Change 159.4(2020).