Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study

Gal, Gideon; Hipsey, Matthew R.; Parparov, Arkadi; Wagner, Udi; Makler, Vardit; Zohary, Tamar

doi:10.1016/j.ecolmodel.2009.04.010

Cited by 150 publications

(128 citation statements)

References 44 publications

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“…Remaining phytoplankton were separated by size, forming 'small' and 'large' algal groups, given the importance of size in determining light and light utilization traits, among others (Finkel et al, 2010). There exist modelling studies where taxonomic classes were parameterized directly as functional groups (e.g., Jöhnk et al, 2008;Carraro et al, 2012), but categorization based on size, thereby combining di erent taxonomic classes within a given functional group like in this study is not uncommon (e.g., Mieleitner and Reichert, 2008;Gal et al, 2009;Rinke et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Considering typical values used in literature (e.g., Gal et al, 2009), we assumed a more modest storage capacity of Qmax/Qmin = 10 . µ∞ Given the average volumes and the taxa of the species involved in these groups (3), rst the µmax values were visually determined from Edwards et al (2012), Fig3C, to be 10 0.1 (=1.1), 10 −0.1 (=0.9) and 10 −0.25 (=0.55) respectively for As, A l , and M (for the reference temperature: 20°C).…”

Section: Umax Qminmentioning

confidence: 99%

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Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Kerimoglu

Jacquet²,

Vinçon‐Leite

et al. 2017

Ecological Modelling

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Predicting phytoplankton succession and variability in natural systems remains to be a grand challenge in aquatic ecosystems research. In this study, we identi ed six major plankton groups in Lake Bourget (France), based on cell size, taxonomic properties, food-web interactions and occurrence patterns: cyanobacterium Planktothrix rubescens, small and large phytoplankton, mixotrophs, herbivorous and carnivorous zooplankton. We then developed a deterministic dynamic model that describes the dynamics of these groups in terms of carbon and phosphorus uxes, as well as of particulate organic phosphorus and dissolved inorganic provide evidence for the hypothesis that the abundance of this species before the onset of strati cation is critical for its success later in the growing season, pointing thereby to a priority e ect.

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Section: Discussionmentioning

confidence: 99%

Section: Umax Qminmentioning

confidence: 99%

Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Kerimoglu

Jacquet²,

Vinçon‐Leite

et al. 2017

Ecological Modelling

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“…These are represented by a long series of massconservative coupled differential equations, but the ecosystem representation is configurable and can be varied by the user depending on the purpose of the model and the availability of data. For long-term simulations, DYRESM-CAEDYM has been widely used (e.g., Bruce et al 2006;Burger et al 2007;Trolle et al 2008a, b;Gal et al 2009), but when higher spatial resolution is required due to the importance of more complex horizontal circulation and transport processes, ELCOM-CAEDYM is more suitable Chung et al 2009;Leon et al 2010). CAEDYM has been used widely for studying nutrient cycling, the effects of increased nutrient loading on algal blooms and changes to phytoplankton succession, as well as for identifying conditions that favour cyanobacteria (Wallace and Hamilton 2000;Lewis et al 2004).…”

Section: Caedymmentioning

confidence: 99%

Challenges and opportunities for integrating lake ecosystem modelling approaches

et al. 2010

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A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: superindividual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.

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“…They used temperature and practical salinity based on electrical conductivity measurements. Because seawater conditions are a known reference and the approaches provide stable results over a wide range of temperatures and electrical conductivity, these have been applied in limnic systems and implemented in numerical models such as DYRESM (Imberger and Patterson, 1981;Gal et al, 2009), ELCOM (Hodges and Dallimore, 2007), GOTM (Burchard et al, 1999;Umlauf et al, 2005) or CE-QUAL-W2 (Cole and Buchak, 1995). Recently the ocean standard was replaced by the new Thermodynamic Equation of Seawater 2010 (TEOS-10;IOC et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A practical approach to lake water density from electrical conductivity and temperature

Moreira

Schultze

Rahn

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Density calculations are essential to study stratification, circulation patterns, internal wave formation and other aspects of hydrodynamics in lakes and reservoirs. Currently, the most common procedure is the use of CTD (conductivity, temperature and depth) profilers and the conversion of measurements of temperature and electrical conductivity into density. In limnic waters, such approaches are of limited accuracy if they do not consider lake-specific composition of solutes, as we show. A new approach is presented to correlate density and electrical conductivity, using only two specific coefficients based on the composition of solutes. First, it is necessary to evaluate the lake-specific coefficients connecting electrical conductivity with density. Once these coefficients have been obtained, density can easily be calculated based on CTD data. The new method has been tested against measured values and the most common equations used in the calculation of density in limnic and ocean conditions. The results show that our new approach can reproduce the density contribution of solutes with a relative error of less than 10 % in lake waters from very low to very high concentrations as well as in lakes of very particular water chemistry, which is better than all commonly implemented density calculations in lakes. Finally, a web link is provided for downloading the corresponding density calculator.

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Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study

Cited by 150 publications

References 44 publications

Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Challenges and opportunities for integrating lake ecosystem modelling approaches

A practical approach to lake water density from electrical conductivity and temperature

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