Skip to main content
Log in

Evolutionary food web models: effects of an additional resource

  • ORIGINAL PAPER
  • Published:
Theoretical Ecology Aims and scope Submit manuscript

Abstract

Many empirical food webs contain multiple resources, which can lead to the emergence of sub-communities—partitions—in a food web that are weakly connected with each other. These partitions interact and affect the complete food web. However, the fact that food webs can contain multiple resources is often neglected when describing food web assembly theoretically, by considering only a single resource. We present an allometric, evolutionary food web model and include two resources of different sizes. Simulations show that an additional resource can lead to the emergence of partitions, i.e. groups of species that specialise on different resources. For certain arrangements of these partitions, the interactions between them alter the food web properties. First, these interactions increase the variety of emerging network structures, since hierarchical bodysize relationships are weakened. Therefore, they could play an important role in explaining the variety of food web structures that is observed in empirical data. Second, interacting partitions can destabilise the population dynamics by introducing indirect interactions with a certain strength between predator and prey species, leading to biomass oscillations and evolutionary intermittence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Allhoff KT, Drossel B (2013) When do evolutionary food web models generate complex networks? J Theor Biol 334:122–129. doi:10.1016/j.jtbi.2013.06.008

    Article  PubMed  Google Scholar 

  • Allhoff KT, Ritterskamp D, Rall B C, Drossel GCB (2015) Evolutionary food web model based on body masses gives realistic networks with permanent species turnover. Sci Rep:5. doi:10.1038/srep10955

  • Armstrong RA, McGehee R (1980) Competitive exclusion. Amer Nat 115:151–170

    Article  Google Scholar 

  • Binzer A, Brose U, Curtsdotter A, Eklöf A, Rall BC, Riede JO, de Castro F (2011) The susceptibility of species to extinctions in model communities. Basic Appl Ecol 12:590–599. doi:10.1016/j.baae.2011.09.002

    Article  Google Scholar 

  • Brännström A, Johansson J (2012) Modelling the ecology and evolution of communities: a review of past achievements, current efforts, and future promises. Evol Ecol Res 14:601–625

    Google Scholar 

  • Brännström A, Loeuille N, Loreau M, Dieckmann U (2011) Emergence and maintenance of biodiversity in an evolutionary food-web model. Theor Ecol 4:467–478. doi:10.1007/s12080-010-0089-6

    Article  Google Scholar 

  • Brose U, Williams RJ, Martinez ND (2006) Allometric scaling enhances stability in complex food webs. Ecol Lett 9:1228–1236. doi:10.1111/j.1461-0248.2006.00978.x

    Article  PubMed  Google Scholar 

  • Byers JE, Noonburg EG (2003) Scale dependent effects of biotic resistance to biological invasion. Ecology 84:1428–1433. doi:10.1890/02-3131

    Article  Google Scholar 

  • Caldarelli G, Higgs PG, McKane AJ (1998) Modelling coevolution in multispecies communities. J Theor Biol 193:345–358. doi:10.1006/jtbi.1998.0706

    Article  PubMed  Google Scholar 

  • Downing AS, Hajdu S, Hjerne O, Otto SA, Blenckner T, Larsson U, Winder M (2014) Zooming in on size distribution patterns underlying species coexistence in baltic sea phytoplankton. Ecol Lett 17:1219–1227. doi:10.1111/ele.12327

    Article  CAS  PubMed  Google Scholar 

  • Drossel B, Higgs PG, Mckane AJ (2001) The influence of Predator-Prey population dynamics on the long-term evolution of food web structure. J Theor Biol 208:91–107. doi:10.1006/jtbi.2000.2203

    Article  CAS  PubMed  Google Scholar 

  • Dunbar M (1953) Arctic and subarctic marine ecology: immediate problems. ARCTIC:6

  • Egerton FN (2007) Understanding food chains and food webs, 1700-1970. Bull Ecol Soc Amer 8:50–69. doi:10.1890/0012-9623(2007)88[50:UFCAFW]2.0.CO;2

    Article  Google Scholar 

  • Fukami T, Wardle DA, Bellingham PJ, Mulder CPH, Towns DR, Yeates GW, Bonner KI, Durrett MS, Grant-Hoffman MN, Williamson WM (2006) Above- and below-ground impacts of introduced predators in seabird-dominated island ecosystems. Ecol Lett 9:1299–1307. doi:10.1111/j.1461-0248.2006.00983.x

    Article  PubMed  Google Scholar 

  • Fussmann GF, Ellner SP, Shertzer KW, Hairston NG Jr (2000) Crossing the hopf bifurcation in a live predator-prey system. Science 290:1358–1360. doi:10.1126/science.290.5495.1358

    Article  CAS  PubMed  Google Scholar 

  • Gause G (1971) Struggle for existence. 2nd edn. Dover Publications Inc

  • Gough B (2009) GNU scientific library reference manual, 3rd edn. Network Theory Ltd

  • Holling CS (1959) The components of predation as revealed by a study of small-mammal predation of the european pine sawfly. Can Entomol 91:293–320. doi:10.4039/Ent91293-5

    Article  Google Scholar 

  • Huisman J, Johansson AM, Folmer EO, Weissing FJ (2001) Towards a solution of the plankton paradox: the importance of physiology and life history. Ecol Lett 4:408–411. doi:10.1046/j.1461-0248.2001.00256.x

    Article  Google Scholar 

  • Huisman J, Weissing FJ (1999) Biodiversity of plankton by species oscillations and chaos. Nature:407–410. doi:10.1038/46540

  • Ingram T, Harmon LJ, Shurin JB (2009) Niche evolution, trophic structure, and species turnover in model food webs. Amer Nat 174:56–67

    Article  Google Scholar 

  • Larios L, Suding KN (2014) Competition and soil resource environment alter plant-soil feedbacks for a native and exotic grass. AoB Plants. doi:10.1093/aobpla/plu077

  • Loeuille N, Loreau M (2005) Evolutionary emergence of size-structured food webs. Proc Nat Acad Sci USA 102:5761–5766. doi:10.1073/pnas.0408424102

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Loeuille N., Loreau M. (2009) Emergence of complex food web structure in community evolution models. In: Verhoef HA, J MP (eds) Community ecology: processes, models, and applications. Oxford University Press

  • Macdonald N (1976) Time delay in simple chemostat models. Biotechnol Bioeng 18:805–812. doi:10.1002/bit.260180604

    Article  CAS  PubMed  Google Scholar 

  • McCann K, Hastings A, Huxel GR (1998) Weak trophic interactions and the balance of nature. Nature 395:794–798

    Article  CAS  Google Scholar 

  • McCann KS (2000) The diversity-stability debate. Nature 405:228–233. doi:10.1038/35012234

    Article  CAS  PubMed  Google Scholar 

  • Persson L, Diehl S, Johansson L, Andersson G, Hamrin SF (1992) Trophic interactions in temperate lake ecosystems: a test of food chain theory. Amer Nat 140:59–84

    Article  Google Scholar 

  • Peters RH (1986) The ecological implications of body size (Cambridge studies in ecology), 1 edn. Cambridge University Press

  • Polis GA (1991) Complex trophic interactions in deserts: an empirical critique of food-web theory. Amer Nat 138:123–155

    Article  Google Scholar 

  • Press WH, Teukolsky SA, Vetterling WT, Flannery BP (2007) Numerical recipes 3rd edition: the art of scientific computing. Cambridge University Press

  • Ritterskamp D, Bearup D, Blasius B (2016a) Evolutionary cycles in an evolutionary food web model. Under review

  • Ritterskamp D, Bearup D, Blasius B (2016b) A new dimension: evolutionary food web dynamics in two dimensional trait space. J Theor Biol. doi:10.1016/j.jtbi.2016.03.042

  • Rossberg A, Matsuda H, Amemiya T, Itoh K (2006) Food webs: experts consuming families of experts. J Theor Biol 241:552–563. doi:10.1016/j.jtbi.2005.12.021

    Article  CAS  PubMed  Google Scholar 

  • Ruan S, Wolkowicz GS (1996) Bifurcation analysis of a chemostat model with a distributed delay. J Math Anal Appl 204:786–812. doi:10.1006/jmaa.1996.0468

    Article  Google Scholar 

  • Ryabov A, Morozov A, Blasius B (2015) Imperfect prey selectivity of predators promotes biodiversity and irregularity in food webs. Ecol Lett 18:1262–1269

    Article  Google Scholar 

  • Schwarzmüller F, Eisenhauer N, Brose U (2015) ’trophic whales’ as biotic buffers: weak interactions stabilize ecosystems against nutrient enrichment. J Anim Ecol 84:680–691. doi:10.1111/1365-2656.12324

    Article  PubMed  Google Scholar 

  • Shea K, Chesson P (2002) Community ecology theory as a framework for biological invasions. Trends Ecol Evol 17:170–176. doi:10.1016/S0169-5347(02)02495-3

    Article  Google Scholar 

  • Sommer U, Stibor H, Katechakis A, Sommer F, Hansen T (2002) Pelagic food web configurations at different levels of nutrient richness and their implications for the ratio fish production: primary production. Hydrobiologia 484:11–20. doi:10.1023/A:1021340601986

    Article  Google Scholar 

  • Strong DR (1992) Are trophic cascades all wet? Differentiation and donor-control in speciose ecosystems. Ecology 73:747– 754

    Article  Google Scholar 

  • Wardle DA, Bardgett RD, Klironomos JN, Setälä H, van der Putten WH, Wall DH (2004) Ecological linkages between aboveground and belowground biota. Science 304:1629–1633. doi:10.1126/science.1094875

    Article  CAS  PubMed  Google Scholar 

  • Williams RJ (2008) Effects of network and dynamical model structure on species persistence in large model food webs. Theor Ecol 1:141–151. doi:10.1007/s12080-008-0013-5

    Article  Google Scholar 

  • Williams RJ, Martinez ND (2004) Limits to trophic levels and omnivory in complex food webs: Theory and data. Amer Nat 163:458–468. http://www.jstor.org/stable/10.1086/381964

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank the two anonymous reviewer for their valuable comments and suggestions on this manuscript. This work was supported by: the DFG, as part of the research unit 1748; and by the Ministry of Science and Culture of Lower Saxony, in the project ‘Biodiversity-Ecosystem Functioning across marine and terrestrial ecosystems’.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bernd Blasius.

Additional information

Christoph Feenders and Daniel Bearup contributed equally to this work

Appendix

Appendix

Fig. 5
figure 5

Biomass evolution of the food webs shown in Fig. 1a (upper row) and d (bottom row). In the upper row, both resources have identical sizes \(z_{R_{1}}{=}~z_{R_{2}}{=}~0\). The resources in the bottom row have a size distance of d (\(z_{R_{1}}{=}0\) and \(z_{R_{2}}{=}~d\)). a, c Biomasses of both resources. Note that the curves in a overlap since both resources have identical sizes. b, d Biomasses of representative morphs of different trophic level. All biomasses of the resources and morphs reach a static fixed point. Small fluctuations are caused by evolutionary modification of the food web

Fig. 6
figure 6

Network time series and food web structure for a second resource of size \(z_{R_{2}}\!=6\,=\,3d\): time-averaged biomass-bodysize histogram (left), temporal evolution of bodysizes contained in the system (middle), and resulting network structure (right). The food web reaches an evolutionarily static state with two disconnected partitions each of which is based on one specific resource. The lower partition has a maximal trophic level of three, while the other has a maximal trophic level of four. Both exhibit the classical network structure, but with distinct bodysize compartments

Fig. 7
figure 7

Sketch of the influence of feeding interactions between morphs. The initial motifs considered (time t 0) are a predator (grey) and prey (blue) pair (top panel), and a triangle motif that contains an additional morph (red) (bottom panel). In both motifs, the influence of the increase/decrease of the biomass of the prey/predator on the other morphs’ biomasses is illustrated. The biomass of one of them is fixed to a higher/lower value (t 1, underlaid in grey) and the reaction of the other morphs (t 2) is sketched. The biomasses are indicated by the size of the nodes. Top In a food chain, the biomass of the predator is proportional to the prey’s biomass, while the prey’s biomass is inversely proportional to the predators biomass. Bottom Due to the additional morph, the biomass relationships are changed. For instance, the decrease in the prey’s biomass still leads to an decrease of the predator’s biomass, but due to the additional morph the decrease of the predator’s biomass is buffered: the predator can consume the red morph. Similar effects can be seen for a change in the predator’s biomass. If it decreases the prey’s biomass does not increase linearly, since the red morph also increases in biomass and so does its consumption of the prey. Therefore, the prey’s biomass only increases slightly. The additional morph therefore induces a phase shift between prey and predator

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ritterskamp, D., Feenders, C., Bearup, D. et al. Evolutionary food web models: effects of an additional resource. Theor Ecol 9, 501–512 (2016). https://doi.org/10.1007/s12080-016-0305-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12080-016-0305-0

Keywords

Navigation