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A review of grassland models in the biofuel context

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  • Taubert, Franziska
  • Frank, Karin
  • Huth, Andreas

Abstract

Various studies have suggested that semi-natural grasslands could be a more ecologically beneficial source for biofuel production than intensively managed monocultures. In particular, it has been observed that the high level of species diversity in grasslands has a positive effect on several ecosystem functions (e.g. productivity). Ecological models are useful tools for analyzing the interactions of different processes in grasslands, which are assumed to be the underlying drivers of this positive effect. In this paper we present a review of the main processes included in existing grassland models and discuss the strength and limitations of existing approaches in the context of biofuel production. Most of the existing models (a) focus solely on one or a few single species, (b) do not consider competition processes adequately, or (c) do not follow the individual's development in the grassland community. This hinders a detailed analysis of the mechanisms and conditions that govern the ecosystem functions that are relevant for biofuel production such as productivity, stability, and carbon fixation. To bridge this gap, we propose a concept for a novel individual-based grassland model for temperate regions. Our approach covers a high number of species/functional groups, above- and below-ground intra- and inter-specific competition for different resources (light, water, nitrogen, space), and disturbances (due to management or climate change). Hence, it could facilitate comprehensive mechanistic analyses of the dynamics of semi-natural grasslands and their efficiency in biofuel production.

Suggested Citation

  • Taubert, Franziska & Frank, Karin & Huth, Andreas, 2012. "A review of grassland models in the biofuel context," Ecological Modelling, Elsevier, vol. 245(C), pages 84-93.
  • Handle: RePEc:eee:ecomod:v:245:y:2012:i:c:p:84-93
    DOI: 10.1016/j.ecolmodel.2012.04.007
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    References listed on IDEAS

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    1. Sato, Hisashi & Itoh, Akihiko & Kohyama, Takashi, 2007. "SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach," Ecological Modelling, Elsevier, vol. 200(3), pages 279-307.
    2. Duru, M. & Adam, M. & Cruz, P. & Martin, G. & Ansquer, P. & Ducourtieux, C. & Jouany, C. & Theau, J.P. & Viegas, J., 2009. "Modelling above-ground herbage mass for a wide range of grassland community types," Ecological Modelling, Elsevier, vol. 220(2), pages 209-225.
    3. Siehoff, Silvana & Lennartz, Gottfried & Heilburg, Ira C. & Roß-Nickoll, Martina & Ratte, Hans Toni & Preuss, Thomas G., 2011. "Process-based modeling of grassland dynamics built on ecological indicator values for land use," Ecological Modelling, Elsevier, vol. 222(23), pages 3854-3868.
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    Cited by:

    1. Moulin, Thibault & Perasso, Antoine & Gillet, François, 2018. "Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness," Ecological Modelling, Elsevier, vol. 374(C), pages 22-36.
    2. Hetzer, Jessica & Huth, Andreas & Taubert, Franziska, 2021. "The importance of plant trait variability in grasslands: a modelling study," Ecological Modelling, Elsevier, vol. 453(C).
    3. Schmid, Julia S. & Huth, Andreas & Taubert, Franziska, 2021. "Influences of traits and processes on productivity and functional composition in grasslands: A modeling study," Ecological Modelling, Elsevier, vol. 440(C).
    4. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.
    5. Valeh Khaledi & Bahareh Kamali & Gunnar Lischeid & Ottfried Dietrich & Mariel F. Davies & Claas Nendel, 2024. "Challenges of Including Wet Grasslands with Variable Groundwater Tables in Large-Area Crop Production Simulations," Agriculture, MDPI, vol. 14(5), pages 1-17, April.
    6. Henniger, Hans & Huth, Andreas & Frank, Karin & Bohn, Friedrich J., 2023. "Creating virtual forests around the globe and analysing their state space," Ecological Modelling, Elsevier, vol. 483(C).
    7. Moulin, Thibault & Perasso, Antoine & Calanca, Pierluigi & Gillet, François, 2021. "DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands," Ecological Modelling, Elsevier, vol. 439(C).
    8. Zakharova, L. & Meyer, K.M. & Seifan, M., 2019. "Trait-based modelling in ecology: A review of two decades of research," Ecological Modelling, Elsevier, vol. 407(C), pages 1-1.
    9. Wirth, Stephen Björn & Taubert, Franziska & Tietjen, Britta & Müller, Christoph & Rolinski, Susanne, 2021. "Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity," Ecological Modelling, Elsevier, vol. 460(C).

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