2024-03-28T23:45:57Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/977522020-12-09T17:48:03Zcom_10261_123com_10261_8col_10261_376
Conventional sampling methods severely underestimate phytoplankton species richness
Rodríguez-Ramos, Tamara
Dornelas, María
Marañón, Emilio
Cermeño, Pedro
Neutral models
Rare species
Diversity
Sample size
Phytoplankton
10 pages, 4 figures, 1 table, supplementary data http://plankt.oxfordjournals.org/content/36/2/334/suppl/DC1
Conventional methods for the estimation of marine phytoplankton diversity include the collection of a small volume of seawater which is analysed under the microscope. We sampled natural communities and also synthetic communities generated under a neutral community model configuration and demonstrate that traditional sampling methods underestimate the species richness of marine phytoplankton communities. In our model, a synthetic community represents an ensemble of individuals enclosed in a parcel of seawater wherein the dynamics of each population is controlled by demographic stochasticity and dispersal. By sampling these synthetic communities, we found that roughly 20-45% of the species is missed by conventional, small volume samples. Consistent with the simulations, field data showed that the number of species increases with sampling effort by up to ∼1.5-fold, revealing that these microbial communities might be more diverse than previously estimated. We suggest that conventional sampling methods have limited our ability to delineate the patterns of marine phytoplankton diversity and identify the underlying mechanisms. Improved sampling methods are proposed to obtain more accurate estimates of marine phytoplankton diversity. © The Author 2013. Published by Oxford University Press. All rights reserved
2014-06-04T12:28:56Z
2014-06-04T12:28:56Z
2014-09
2014-06-04T12:28:56Z
artículo
Journal of Plankton Research 36(2): 334-343 (2014)
http://hdl.handle.net/10261/97752
10.1093/plankt/fbt115
eng
https://doi.org/10.1093/plankt/fbt115
closedAccess
Oxford University Press