Identifying mechanisms that structure ecological communities by snapping model parameters to empirically observed tradeoffs

Ecol Lett. 2018 Apr;21(4):494-505. doi: 10.1111/ele.12910. Epub 2018 Feb 26.

Abstract

Theory predicts that interspecific tradeoffs are primary determinants of coexistence and community composition. Using information from empirically observed tradeoffs to augment the parametrisation of mechanism-based models should therefore improve model predictions, provided that tradeoffs and mechanisms are chosen correctly. We developed and tested such a model for 35 grassland plant species using monoculture measurements of three species characteristics related to nitrogen uptake and retention, which previous experiments indicate as important at our site. Matching classical theoretical expectations, these characteristics defined a distinct tradeoff surface, and models parameterised with these characteristics closely matched observations from experimental multi-species mixtures. Importantly, predictions improved significantly when we incorporated information from tradeoffs by 'snapping' characteristics to the nearest location on the tradeoff surface, suggesting that the tradeoffs and mechanisms we identify are important determinants of local community structure. This 'snapping' method could therefore constitute a broadly applicable test for identifying influential tradeoffs and mechanisms.

Keywords: LTER; Cedar Creek; coexistence mechanism; ecological community; grassland ecology; mechanistic model; predictive model; resource competition; tradeoff.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biota
  • Ecosystem*
  • Models, Biological
  • Plants
  • Species Specificity*