Matthieu Barbier

1 Introduction Trophic interactions shape the structure of communities across biogeographic gradients (Jordano 2016). These interactions are also temperature-dependent, and hence vary in space and time with temperature changes (e.g., Bideault et al. 2021; Binzer et al. 2012; Amarasekare 2019).

Introduction General biological patterns offer precious opportunities for synthesis and unification (Brown and Maurer 1989, Levin 1992, Brown et al. 2004, Marquet et al. 2005, Frank 2009, Loreau 2010, Harte 2011, Zaoli et al. 2017). Hatton et al. (2015) put forward evidence of such a general pattern, holding across many terrestrial and aquatic ecosystems, dubbed the ‘predator-prey power law'. The analysis by Hatton et al.

Abstract Minimal models for complex ecosystems often assume random interactions, whose statistics suffice to predict dynamical and macroecological patterns. However, interaction networks commonly possess large-scale structures, such as hierarchies or functional groups. Here, we ask how conclusions from random interaction models are altered by the presence of such large-scale network structures.