2015
DOI: 10.1007/s10452-015-9544-1
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Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective

Abstract: Here, we present a community perspective on how to explore, exploit and evolve the diversity in aquatic ecosystem models. These models play an important role in understanding the functioning of aquatic ecosystems, filling in observation gaps and developing effective strategies for water quality management. In this spirit, numerous models have been developed since the 1970s. We set off to explore model diversity by making an inventory among 42 aquatic ecosystem modellers, by categorizing the resulting set of mo… Show more

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Cited by 109 publications
(58 citation statements)
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References 172 publications
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“…This finding is similar to that of other studies that examined the value of the Model Mean from a multi-model ensemble (e.g., Gneiting and Raftery, 2005;Hagedorn et al, 2005). While the concept of using a multi-model ensemble has been most extensively employed by atmospheric, climatic, and global circulation modelers, such as the Intergovernmental Panel on Climate Change (e.g., Collins et al, 2013), the tool's utility for aquatic ecosystem modeling is gaining traction (Meier et al, 2012;Trolle et al, 2014;Janssen et al, 2015). As models are increasingly used in regulatory decisions regarding aquatic ecosystems, a cohort of similarly skilled models can be used to help inform a set of confidence bounds around an environmental forecast.…”
Section: What Is the Utility Of The Multi-model Ensemble Andsupporting
confidence: 82%
“…This finding is similar to that of other studies that examined the value of the Model Mean from a multi-model ensemble (e.g., Gneiting and Raftery, 2005;Hagedorn et al, 2005). While the concept of using a multi-model ensemble has been most extensively employed by atmospheric, climatic, and global circulation modelers, such as the Intergovernmental Panel on Climate Change (e.g., Collins et al, 2013), the tool's utility for aquatic ecosystem modeling is gaining traction (Meier et al, 2012;Trolle et al, 2014;Janssen et al, 2015). As models are increasingly used in regulatory decisions regarding aquatic ecosystems, a cohort of similarly skilled models can be used to help inform a set of confidence bounds around an environmental forecast.…”
Section: What Is the Utility Of The Multi-model Ensemble Andsupporting
confidence: 82%
“…Thus, it is possible to estimate the magnitude of nutrient reduction required in a future warmer climate to mitigate eutrophication in order to achieve good ecological status as required by the WFD. However, it is important to continuously improve the conceptual model, and also to take advantage of the diversity of multiple existing models [85], to enhance the reliability of projections, such as, for example, the submodels for fish, fish-zooplankton interactions and sediment nutrient exchange.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple studies stress the vital importance of early diagenetic processes in controlling internal P loading in a variety of lake systems (Amirbahman et al, 2012;James, 2017;Loh, 2013;Nurnberg et al, 2013). While early diagenetic models can capture the drivers and timing of P release from sediment (Katsev, 2017;Katsev & Dittrich, 2013;Katsev et al, 2006;Li et al, 2018;McCulloch et al, 2013), these detailed models are not routinely coupled to lake water column models (Janssen et al, 2015;Paraska et al, 2014;Robson, 2014). Computational expense; complexity; and, possibly, the underestimated importance of early diagenetic processes have led model designers to simplify interactions between the sediment and the overlying water.…”
Section: Introductionmentioning
confidence: 99%
“…Empirical lake models have been developed for internal P loading (e.g., Schauser et al, 2006;Bryhn & Haakanson, 2007), but their generalization is unlikely as their applicability tends to be site-specific. Popular approaches to couple sediment processes to lake water column models have included the incorporation of an empirical bottom flux boundary (Schmid et al, 2017) and vertically integrated submodules (e.g., oxic and anoxic layers; Janssen et al, 2015;Matzinger et al, 2010;Mooij et al, 2011;Schmid et al, 2017). Several well-established lake models, such as FABM-PCLake (Hu et al, 2016), DYRESM-CAEDYM (Trolle et al, 2008), CE-QUAL-W2 (Zhang et al, 2015), GLM (Hipsey et al, 2017), and DELWAQ (Smits & van Beek, 2013), were built on variations of those approaches in order to represent sediment-water interactions.…”
Section: Introductionmentioning
confidence: 99%