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Influences of traits and processes on productivity and functional composition in grasslands: A modeling study

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  • Schmid, Julia S.
  • Huth, Andreas
  • Taubert, Franziska

Abstract

Grasslands are an important habitat for many plant species whose functional diversity and composition influences ecosystem functioning and services. Despite several field studies, still uncertainties remain about the interplay of species traits and ecosystem processes that lead to the functional diversity observed in grasslands. Here, we used an individual-based process-oriented model to simulate a biodiversity field experiment located in Central Europe. With the focus on plant functional types (PFT), the simulation model well reproduced vegetation attributes of grassland communities at different diversity levels (of up to four PFTs of grasses, small herbs, tall herbs and legumes). To understand how plant traits and competition between plants affects the functional composition of grasslands, we tested in a simulation study the impact of different ecosystem processes and detected sensitive plant traits. According to our model results, competition for space affects community productivity stronger than competition for light. While some traits increase and strengthen the growth of plants, other functional traits make plants stronger through advantages in demographic processes. Our model-based findings can be substantiated by several independent field studies in terms of relative yield, plant density, plant biomass and life span of plant functional types. The methods and analyses shown here represent a promising step for the development of grassland models to investigate the complex structures and dynamics of temperate grasslands in complement to field studies.

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  • 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).
  • Handle: RePEc:eee:ecomod:v:440:y:2021:i:c:s0304380020304592
    DOI: 10.1016/j.ecolmodel.2020.109395
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    References listed on IDEAS

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    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. 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.
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    Cited by:

    1. Gloy, Josias & Herzschuh, Ulrike & Kruse, Stefan, 2023. "Evolutionary adaptation of trees and modelled future larch forest extent in Siberia," Ecological Modelling, Elsevier, vol. 478(C).
    2. Gintarė Šidlauskaitė & Vilma Kemešytė & Monika Toleikienė & Žydrė Kadžiulienė, 2022. "Plant Diversity, Functional Group Composition and Legumes Effects versus Fertilisation on the Yield and Forage Quality," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
    3. 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).
    4. Hetzer, Jessica & Huth, Andreas & Taubert, Franziska, 2021. "The importance of plant trait variability in grasslands: a modelling study," Ecological Modelling, Elsevier, vol. 453(C).

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