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 547970
Title PCLake+ : A process-based ecological model to assess the trophic state of stratified and non-stratified freshwater lakes worldwide
Author(s) Janssen, Annette B.G.; Teurlincx, Sven; Beusen, Arthur H.W.; Huijbregts, Mark A.J.; Rost, Jasmijn; Schipper, Aafke M.; Seelen, Laura M.S.; Mooij, Wolf M.; Janse, Jan H.
Source Ecological Modelling 396 (2019). - ISSN 0304-3800 - p. 23 - 32.
DOI https://doi.org/10.1016/j.ecolmodel.2019.01.006
Department(s) Water Systems and Global Change
WIMEK
Aquatic Ecology and Water Quality Management
PE&RC
GTB Teelt & Gewasfysiologie
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Deep lake - Food web model - Lake ecology - Limnology - Shallow lake - Thermal stratification
Abstract

The lake ecosystem model PCLake is a process-based model that was developed to simulate water quality based on ecological interactions in shallow, non-stratifying lakes in the temperate climate zone. Here we present PCLake+, which extends the PCLake model to cover a wide range of freshwater lakes that differ in stratification regime and climate-related processes. To this end, the model was extended with a hypolimnion layer that can be invoked and configured by forcing functions or by simple built-in empirical relationships that impose stratification. Further adjustments to the original PCLake model have been made with respect to the calculation of 1) light irradiation in the water column, 2) evaporation processes and 3) phenology of macrophytes. The simulation output of PCLake+ for different types of lakes complies well with generally accepted limnological knowledge, thus holding promise for future contributions to ecological theory and application to lakes around the globe.

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