Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 441360
Title Phytoplankton species predictability increases towards warmer regions
Author(s) Kruk, C.; Segura, A.M.; Peeters, E.T.H.M.; Huszar, V.L.M.; Costa, L.S.; Kosten, S.; Lacerot, G.; Scheffer, M.
Source Limnology and Oceanography 57 (2012)4. - ISSN 0024-3590 - p. 1126 - 1135.
DOI http://dx.doi.org/10.4319/lo.2012.57.4.1126
Department(s) Aquatic Ecology and Water Quality Management
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) latitudinal diversity gradient - fresh-water phytoplankton - multispecies competition - community - plankton - classification - biodiversity - disturbance - limitation - dispersal
Abstract We explored systematic patterns in predictability of phytoplankton species from 83 lakes over a gradient ranging from subpolar to tropical regions in South America. We estimated the explained variance (proxy of predictability) of the presence and biomass (estimated as biovolume) of species using multiple regressions from commonly measured environmental variables such as nutrient levels, light, mixing depth, temperature, and zooplankton biomass. Both the presence and biomass of species occurring at least in 10 lakes were quite well predicted from the environmental variables, with average values of 35% and 58%, respectively. Predictability was not systematically related to phylogenetic affiliation or particular functional groups as defined by morphology. However, biomass predictability decreased with increasing occurrence, and improved with larger species size (maximum linear dimension). Species that were predictable in terms of biomass (R-2 >= 0.5, p
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