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

Manqi Chang, Sven Teurlincx, Donald L. DeAngelis, Jan H. Janse, Tineke A. Troost, Dianneke van Wijk, Wolf M. Mooij, Annette B.G. Janssen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

LanguageEnglish
Article number133887
JournalScience of the Total Environment
Volume695
DOIs
Publication statusPublished - 10 Dec 2019

Fingerprint

Eutrophication
Lakes
eutrophication
lake
Nutrients
lake ecosystem
nutrient
lake water
residence time
Ecosystems
Water quality
water quality
Managers
resource
limiting factor
Phytoplankton
field survey
Chlorophyll
chlorophyll a
labor

Keywords

  • Consumer-resource interactions
  • Nutrient versus light limitation
  • PCLake
  • Phytoplankton
  • Vollenweider
  • Water quality management

Cite this

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title = "A Generically Parameterized model of Lake eutrophication (GPLake) that links field-, lab- and model-based knowledge",
abstract = "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.",
keywords = "Consumer-resource interactions, Nutrient versus light limitation, PCLake, Phytoplankton, Vollenweider, Water quality management",
author = "Manqi Chang and Sven Teurlincx and DeAngelis, {Donald L.} and Janse, {Jan H.} and Troost, {Tineke A.} and {van Wijk}, Dianneke and Mooij, {Wolf M.} and Janssen, {Annette B.G.}",
year = "2019",
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language = "English",
volume = "695",
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A Generically Parameterized model of Lake eutrophication (GPLake) that links field-, lab- and model-based knowledge. / Chang, Manqi; Teurlincx, Sven; DeAngelis, Donald L.; Janse, Jan H.; Troost, Tineke A.; van Wijk, Dianneke; Mooij, Wolf M.; Janssen, Annette B.G.

In: Science of the Total Environment, Vol. 695, 133887, 10.12.2019.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A Generically Parameterized model of Lake eutrophication (GPLake) that links field-, lab- and model-based knowledge

AU - Chang, Manqi

AU - Teurlincx, Sven

AU - DeAngelis, Donald L.

AU - Janse, Jan H.

AU - Troost, Tineke A.

AU - van Wijk, Dianneke

AU - Mooij, Wolf M.

AU - Janssen, Annette B.G.

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N2 - 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.

AB - 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.

KW - Consumer-resource interactions

KW - Nutrient versus light limitation

KW - PCLake

KW - Phytoplankton

KW - Vollenweider

KW - Water quality management

U2 - 10.1016/j.scitotenv.2019.133887

DO - 10.1016/j.scitotenv.2019.133887

M3 - Article

VL - 695

JO - Science of the Total Environment

T2 - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

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