@misc{CeulemansGaedkeKlauschiesetal.2019,
  author    = {Ceulemans, Ruben and Gaedke, Ursula and Klauschies, Toni and Guill, Christian},
  title     = {The effects of functional diversity on biomass production, variability, and resilience of ecosystem functions in a tritrophic system},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {744},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43543},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-435439},
  pages     = {16},
  year      = {2019},
  abstract  = {Diverse communities can adjust their trait composition to altered environmental conditions, which may strongly influence their dynamics. Previous studies of trait-based models mainly considered only one or two trophic levels, whereas most natural system are at least tritrophic. Therefore, we investigated how the addition of trait variation to each trophic level influences population and community dynamics in a tritrophic model. Examining the phase relationships between species of adjacent trophic levels informs about the strength of top-down or bottom-up control in non-steadystate situations. Phase relationships within a trophic level highlight compensatory dynamical patterns between functionally different species, which are responsible for dampening the community temporal variability. Furthermore, even without trait variation, our tritrophic model always exhibits regions with two alternative states with either weak or strong nutrient exploitation, and correspondingly low or high biomass production at the top level. However, adding trait variation increased the basin of attraction of the high-production state, and decreased the likelihood of a critical transition from the high- to the lowproduction state with no apparent early warning signals. Hence, our study shows that trait variation enhances resource use efficiency, production, stability, and resilience of entire food webs.},
  language  = {en}
}
@article{CeulemansGaedkeKlauschiesetal.2019,
  author    = {Ceulemans, Ruben and Gaedke, Ursula and Klauschies, Toni and Guill, Christian},
  title     = {The effects of functional diversity on biomass production, variability, and resilience of ecosystem functions in a tritrophic system},
  series = {Scientific Reports},
  volume    = {9},
  journal   = {Scientific Reports},
  publisher = {Macmillan Publishers Limited},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-019-43974-1},
  pages     = {16},
  year      = {2019},
  abstract  = {Diverse communities can adjust their trait composition to altered environmental conditions, which may strongly influence their dynamics. Previous studies of trait-based models mainly considered only one or two trophic levels, whereas most natural system are at least tritrophic. Therefore, we investigated how the addition of trait variation to each trophic level influences population and community dynamics in a tritrophic model. Examining the phase relationships between species of adjacent trophic levels informs about the strength of top-down or bottom-up control in non-steadystate situations. Phase relationships within a trophic level highlight compensatory dynamical patterns between functionally different species, which are responsible for dampening the community temporal variability. Furthermore, even without trait variation, our tritrophic model always exhibits regions with two alternative states with either weak or strong nutrient exploitation, and correspondingly low or high biomass production at the top level. However, adding trait variation increased the basin of attraction of the high-production state, and decreased the likelihood of a critical transition from the high- to the lowproduction state with no apparent early warning signals. Hence, our study shows that trait variation enhances resource use efficiency, production, stability, and resilience of entire food webs.},
  language  = {en}
}
@article{GuillHuelsemannKlauschies2021,
  author    = {Guill, Christian and H{\"u}lsemann, Janne and Klauschies, Toni},
  title     = {Self-organised pattern formation increases local diversity in metacommunities},
  series = {Ecology letters},
  volume    = {24},
  journal   = {Ecology letters},
  number    = {12},
  publisher = {Wiley-Blackwell},
  address   = {Oxford},
  issn      = {1461-023X},
  doi       = {10.1111/ele.13880},
  pages     = {2624 -- 2634},
  year      = {2021},
  abstract  = {Self-organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio-temporal patterns in the species' abundances emerge. The resulting biomass-trait feedback increases local diversity by an order of magnitude compared to scenarios without self-organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions.},
  language  = {en}
}