Niche measures and growth rate do not predict interspecific variation in spatial synchrony of phytoplankton
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RESEARCH PAPER
Niche measures and growth rate do not predict interspecific variation in spatial synchrony of phytoplankton Matheus Nunes da Silva1 · Rafaela Vendrametto Granzotti1 · Priscilla de Carvalho1 · Luzia Cleide Rodrigues2 · Luis Mauricio Bini1 Received: 29 March 2020 / Accepted: 23 August 2020 © The Japanese Society of Limnology 2020
Abstract Spatial synchrony occurs when local populations exhibit correlated dynamics over time. Recent studies, both experimental and observational, have indicated that the magnitude of spatial synchrony, in cross-species analyses, is correlated with the level of specialization. In theory, specialist species would exhibit higher levels of synchrony than generalist species because they would be more sensitive to environmental variations. In addition, according to simulation studies, species with high growth rates should have more synchronized dynamics. In this study, we tested these hypotheses using datasets (phytoplankton populations and environmental variables) obtained in the Cana Brava Reservoir (State of Goiás, Brazil). We used a multiple regression model to test whether the average level of spatial synchrony was correlated with variables that indicate environmental specialization and population growth rate. In general, the average values of spatial synchrony were low, indicating the predominance of local factors in controlling population dynamics. We found no significant relationship between synchrony and our explanatory variables. To assess the generality of correlates of spatial synchrony, we suggest that future studies should focus on a common same set of explanatory variables. Keywords Moran effect · Freshwater · Specialist · Population synchrony · Planktonic algae
Introduction Spatially separated local populations of a species may have correlated dynamics. This pattern is known as spatial synchrony and has been detected in different scales, taxa and ecosystems (Paradis et al. 2000; Burrows et al. 2002; Xu et al. 2012; Chevalier et al. 2014; Liebhold et al. 2004; Lodi et al. 2014, 2018; Defriez et al. 2016; Defriez and Reuman Handling Editor:Camilla CAPELL. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10201-020-00640-0) contains supplementary material, which is available to authorized users. * Luis Mauricio Bini [email protected] 1
Departamento de Ecologia, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Av. Esperança s/n, Campus Samambaia, Goiânia, Goiás 74690‑900, Brazil
Núcleo de Pesquisas em Limnologia, Ictiologia e Aquicultura, Universidade Estadual de Maringá, Bloco H‑90, Maringá, Paraná 87020‑900, Brazil
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2017a, b; Marquez et al. 2019). The study of spatial synchrony can help to uncover the mechanisms that control population dynamics, indicate metapopulation extinction risk and subsidize the optimization of population monitoring programs (Heino et al. 1997; Liebhold et al. 2004; Stenseth et al. 2004; Rhodes and Jonzén 2011; Walter et al. 2017). Dispersal, trophic interactions
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