Journal list menu

Volume 94, Issue 2
Article

Bridging the gap between theoretical ecology and real ecosystems: modeling invertebrate community composition in streams

Nele Schuwirth

Corresponding Author

E-mail address: nele.schuwirth@eawag.ch

Eawag—Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland

E-mail: E-mail address: nele.schuwirth@eawag.chSearch for more papers by this author
Peter Reichert

Eawag—Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland

Search for more papers by this author
First published: 01 February 2013
Citations: 14

Corresponding Editor: D. C. Speirs.

Abstract

For the first time, we combine concepts of theoretical food web modeling, the metabolic theory of ecology, and ecological stoichiometry with the use of functional trait databases to predict the coexistence of invertebrate taxa in streams. We developed a mechanistic model that describes growth, death, and respiration of different taxa dependent on various environmental influence factors to estimate survival or extinction. Parameter and input uncertainty is propagated to model results. Such a model is needed to test our current quantitative understanding of ecosystem structure and function and to predict effects of anthropogenic impacts and restoration efforts. The model was tested using macroinvertebrate monitoring data from a catchment of the Swiss Plateau. Even without fitting model parameters, the model is able to represent key patterns of the coexistence structure of invertebrates at sites varying in external conditions (litter input, shading, water quality). This confirms the suitability of the model concept. More comprehensive testing and resulting model adaptations will further increase the predictive accuracy of the model.

Number of times cited according to CrossRef: 14

  • Energía calórica, biomasa y estructura de los macroinvertebrados acuáticos en la reserva La Nitrera, Concordia, Antioquia, Colombia, Acta Biológica Colombiana, 10.15446/abc.v25n1.76435, 25, 1, (29-36), (2020).
  • How to make ecological models useful for environmental management, Ecological Modelling, 10.1016/j.ecolmodel.2019.108784, 411, (108784), (2019).
  • The Importance of Ecological Networks in Multiple-Stressor Research and Management, Frontiers in Environmental Science, 10.3389/fenvs.2019.00059, 7, (2019).
  • Accounting for activity respiration results in realistic trophic transfer efficiencies in allometric trophic network (ATN) models, Theoretical Ecology, 10.1007/s12080-018-0378-z, 11, 4, (453-463), (2018).
  • Towards the review of the European Union Water Framework Directive: Recommendations for more efficient assessment and management of chemical contamination in European surface water resources, Science of The Total Environment, 10.1016/j.scitotenv.2016.10.104, 576, (720-737), (2017).
  • Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method, Environmental Modelling & Software, 10.1016/j.envsoft.2016.11.001, 87, (110-119), (2017).
  • Integrating ecological theories and traits in process‐based modeling of macroinvertebrate community dynamics in streams, Ecological Applications, 10.1002/eap.1530, 27, 4, (1365-1377), (2017).
  • Modeling Macroinvertebrate Community Dynamics in Stream Mesocosms Contaminated with a Pesticide, Environmental Science & Technology, 10.1021/acs.est.5b04068, 50, 6, (3165-3173), (2016).
  • Species distribution models grounded in ecological theory for decision support in river management, Ecological Modelling, 10.1016/j.ecolmodel.2015.12.016, 325, (1-12), (2016).
  • Application of Effective Discharge Analysis to Environmental Flow Decision-Making, Environmental Management, 10.1007/s00267-016-0684-4, 57, 6, (1153-1165), (2016).
  • The importance of biotic interactions for the prediction of macroinvertebrate communities under multiple stressors, Functional Ecology, 10.1111/1365-2435.12605, 30, 6, (974-984), (2015).
  • www.freshwaterecology.info – An online tool that unifies, standardises and codifies more than 20,000 European freshwater organisms and their ecological preferences, Ecological Indicators, 10.1016/j.ecolind.2015.02.007, 53, (271-282), (2015).
  • Challenges and opportunities of German-Chinese cooperation in water science and technology, Environmental Earth Sciences, 10.1007/s12665-015-4149-5, 73, 8, (4861-4871), (2015).
  • A Modelling Framework to Assess the Effect of Pressures on River Abiotic Habitat Conditions and Biota, PLOS ONE, 10.1371/journal.pone.0130228, 10, 6, (e0130228), (2015).