A Generically Parameterized model of Lake eutrophication (GPLake) that links field-, lab- and model-based knowledge.

Autor: Chang M; Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, PO Box 50, 6700 AB Wageningen, the Netherlands; Department of Aquatic Ecology and Water Quality Management, Wageningen University & Research, PO Box 47, 6700 AA, the Netherlands. Electronic address: m.chang@nioo.knaw.nl., Teurlincx S; Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, PO Box 50, 6700 AB Wageningen, the Netherlands., DeAngelis DL; U.S. Geological Survey, Wetland and Aquatic Research Center, Gainesville, FL 32653, USA., Janse JH; Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, PO Box 50, 6700 AB Wageningen, the Netherlands; PBL, Netherlands Environmental Assessment Agency, PO Box 30314, 2500 GH Den Haag, the Netherlands., Troost TA; Deltares, PO Box 177, 2600 MH Delft, the Netherlands., van Wijk D; Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, PO Box 50, 6700 AB Wageningen, the Netherlands; Department of Aquatic Ecology and Water Quality Management, Wageningen University & Research, PO Box 47, 6700 AA, the Netherlands; Water Systems and Global Change Group, Wageningen University & Research, PO Box 47, 6700 AA Wageningen, the Netherlands., Mooij WM; Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, PO Box 50, 6700 AB Wageningen, the Netherlands; Department of Aquatic Ecology and Water Quality Management, Wageningen University & Research, PO Box 47, 6700 AA, the Netherlands., Janssen ABG; Water Systems and Global Change Group, Wageningen University & Research, PO Box 47, 6700 AA Wageningen, the Netherlands.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2019 Dec 10; Vol. 695, pp. 133887. Date of Electronic Publication: 2019 Aug 13.
DOI: 10.1016/j.scitotenv.2019.133887
Abstrakt: Worldwide, eutrophication is threatening lake ecosystems. To support lake management numerous eutrophication models have been developed. Diverse research questions in a wide range of lake ecosystems are addressed by these models. The established models are based on three key approaches: the empirical approach that employs field surveys, the theoretical approach in which models based on first principles are tested against lab experiments, and the process-based approach that uses parameters and functions representing detailed biogeochemical processes. These approaches have led to an accumulation of field-, lab- and model-based knowledge, respectively. Linking these sources of knowledge would benefit lake management by exploiting complementary information; however, the development of a simple tool that links these approaches was hampered by their large differences in scale and complexity. Here we propose a Generically Parameterized Lake eutrophication model (GPLake) that links field-, lab- and model-based knowledge and can be used to make a first diagnosis of lake water quality. We derived GPLake from consumer-resource theory by the principle that lacustrine phytoplankton is typically limited by two resources: nutrients and light. These limitations are captured in two generic parameters that shape the nutrient to chlorophyll-a relations. Next, we parameterized GPLake, using knowledge from empirical, theoretical, and process-based approaches. GPLake generic parameters were found to scale in a comparable manner across data sources. Finally, we show that GPLake can be applied as a simple tool that provides lake managers with a first diagnosis of the limiting factor and lake water quality, using only the parameters for lake depth, residence time and current nutrient loading. With this first-order assessment, lake managers can easily assess measures such as reducing nutrient load, decreasing residence time or changing depth before spending money on field-, lab- or model- experiments to support lake management.
(Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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