Responses of phytoplankton to fish predation and nutrient loading in shallow lakes: a pan‐European mesocosm experiment

Bund, Wouter van de; Romo, Susana; Villena, María‐José; Valentin, M.; Donk, Ellen Van; Vicente, Eduardo; Vakkilainen, Kirsi; Svensson, Marie; Stephen, Deborah; Ståhl-Delbanco, Annika; Rueda, Juan; Moss, Brian; Miracle, María Rosa; Kairesalo, Timo; Hansson, Lars‐Anders; Hietala, Jaana; Gyllström, Mikael; Gomà, Joan; Garcı́a, Pedro; Fernández‐Aláez, Margarita; Fernández‐Aláez, Camino; Ferriol, Carmen; Collings, S. E.; Bécares, Eloy; Balayla, David; Alfonso, T.

doi:10.1111/j.1365-2427.2004.01307.x

Cited by 36 publications

(27 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…6), could also be explained by bottom-up effects, such as an increase in the share of inedible phytoplankton or, perhaps, decreased subsidy from allochthonous carbon. A pan-European experimental study (Van de Bund et al 2004) showed no consistent pattern in the share of inedible algae when size was used as a criterion. A tendency was observed, however, toward an increase in the contribution of cyanobacteria at warmer sites, but a clearer relationship was seen when comparing within sites, namely a higher contribution of cyanobacteria during warmer times.…”

Section: Discussionmentioning

confidence: 99%

The role of climate in shaping zooplankton communities of shallow lakes

Gyllström¹,

Hansson²,

et al. 2005

Self Cite

View full text Add to dashboard Cite

We analyzed data from 81 shallow European lakes, which were sampled with standardized methods, for combined effects of climatic, physical, and chemical features of food‐web interactions, with a specific focus on zooplankton biomass and community structure. multiple‐regression analysis showed that total phosphorus (TP) generally was the most important predictor of zooplankton biomass and community structure. Climate was the next most important predictor and acted mainly through its effect on pelagic zooplankton taxa. Benthic and plant‐associated taxa (typically almost half the total zooplankton biomass) were, however, affected mainly by macrophyte coverage. Neither climate nor TP affected the relation between small and large taxa, and we found only a weak trend with increasing TP of increasing mean crustacean body mass. Dividing the data set into three climate zones revealed a pronounced difference in response to lake productivity between cold lakes, with long periods of ice cover, and the two warmer lake types. These ÂÂiceÂÂ lakes differed from the others with respect to the effect of TP on chlorophyll a, the zooplankton : chlorophyll a ratio, the chlorophyll a :TP ratio, and the proportion of cyclopoids in the copepod community. Our data suggest that bottom‐up forces, such as nutrient concentration, are the most important predictors of zooplankton biomass. In addition, climate contributes significantlyÂ—possibly by affecting top‐down regulation by fishÂ—and may interact with productivity in determining the zooplankton standing biomass and community composition. Hence, the present study suggests that food‐web dynamics are closely linked to climatic features.

show abstract

Section: Discussionmentioning

confidence: 99%

The role of climate in shaping zooplankton communities of shallow lakes

Gyllström¹,

Hansson²,

et al. 2005

Self Cite

View full text Add to dashboard Cite

show abstract

“…Importantly, the impacts of eutrophication and climate change are tightly linked ) and, therefore, require a model that simultaneously deals with both aspects. On the negative side, however, these predictions have not yet been verified in a formal comparison of model output with the scarce field data that we have on the interplay between eutrophication and climate change (in particular climate warming, e.g., Moss et al 2003;Van De Bund et al 2004;Jeppesen et al 2009Jeppesen et al , 2010.…”

Section: Modelling the Impact Of Climate Change With Eutrophication Mmentioning

confidence: 99%

Challenges and opportunities for integrating lake ecosystem modelling approaches

et al. 2010

View full text Add to dashboard Cite

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.

show abstract

“…Experimental approaches have been used to evaluate the effect of climate change in aquatic environments. These experiments typically focus on the effects of the increased temperature expected in future scenarios (Jeppesen et al, 2010;Yvon-Durocher et al, 2010;Roland et al, 2012). However, recent studies have investigated other elements affecting aquatic ecosystems as well as their combined effects, such as the interaction between warming, drying, and acidification on consumers and planktonic producers (Christensen et al, 2006), the effects of climate change on water levels compounded with stratification (Berger et al, 2010), the effect of light and CO2 enrichment on nutrient concentrations (Andersen et al, 2005), and the effect of temperature and predation on phytoplankton community (He et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Effects of global climate change on chlorophyll-a concentrations in a tropical aquatic system during a cyanobacterial bloom: a microcosm study

2017

View full text Add to dashboard Cite

Recent studies have investigated the impact of climate change on aquatic environments, and Chlorophyll-a (Chl-a) concentration is a quick and reliable variable for monitoring such changes. This study evaluated the impact of rainfall frequency as a diluting agent and the effect of increased temperature on Chl-a concentrations in eutrophic environments during a bloom of cyanobacteria. This was based on the hypothesis that the concentration of Chl-a will be higher in treatments in which the rainfall frequency is not homogeneous and that warmer temperatures predicted due to climate change should favor higher concentrations of Chl-a. The experiment was designed to investigate three factors: temperature, precipitation and time. Temperature was tested with two treatment levels (22°C and the future temperature of 25°C). Precipitation was tested with four treatments (no precipitation, a homogeneous precipitation pattern, and two types of concentrated precipitation patterns). Experiments were run for 15 days, and Chl-a concentration was measured every five days in each of the temperature and precipitation treatments. The water used in the microcosms was collected from a eutrophic lake located in Central Brazil during a bloom of filamentous cyanobacteria (Geilterinema amphibium). Chl-a levels were high in all treatments. The higher temperature treatment showed increased Chl-a concentration (F=10.343; P=0.002); however, the extreme precipitation events did not significantly influence P=0.326). Therefore, the study demonstrates that future climatic conditions (projected to 2100), such as elevated temperatures, may affect the primary productivity of aquatic environments in tropical aquatic systems.Keywords: extreme events, Geitlerinema amphibium, primary productivity, temperature. o monitoramento de ambientes aquáticos. O objetivo do presente estudo foi avaliar o impacto da frequência da precipitação e do aumento da temperature na concentração de Clo-a em um ambiente aquático eutrófico durante um período de floração de cianobactéria. As hipóteses para o presente trabalho: i) A concentração de Clo-a será maior em tratamentos em que a frequencia de precipitação não é homogênea, e ii) Temperaturas mais quentes devem promover aumento na concentração de Clo-a. Foi utilizado um desenho experimental com três fatores: Precipitação, temperature e tempo. A temperature foi avaliada em dois tratamentos (22°C e a temperatura futura de 25°C). A precipitação foi avaliada em quatro tratamentos (ausência de precipitação, precipitação homogênea, e dois tipos precipitação concentrada). O experimento foi desenvolvido por 15 dias e a concentração de Clo-a foi mensurada a cada cinco dias para cada tratamento. Os níveis de Clo-a foram elevados em todos tratamentos, além disso, a concentração de Clo-a foi maior em tratamentos mais aquecidos (simulando cenário futuro) (F=10.343; P=0.002); entretanto, os eventos extremos de precipitação não demonstraram influência na concentração de P=0.326). Portanto, o presente trabalho demonstrou que as c...

show abstract

Responses of phytoplankton to fish predation and nutrient loading in shallow lakes: a pan‐European mesocosm experiment

Cited by 36 publications

References 51 publications

The role of climate in shaping zooplankton communities of shallow lakes

The role of climate in shaping zooplankton communities of shallow lakes

Challenges and opportunities for integrating lake ecosystem modelling approaches

Effects of global climate change on chlorophyll-a concentrations in a tropical aquatic system during a cyanobacterial bloom: a microcosm study

Contact Info

Product

Resources

About