title: Complexity, collective effects, and modeling of ecosystems: formation, function, and stability.
abstract: We discuss the relevance of studying ecology within the framework of Complexity Science from a statistical mechanics approach. Ecology is concerned with understanding how systems level properties emerge out of the multitude of interactions among large numbers of components, leading to ecosystems that possess the prototypical characteristics of complex systems. We argue that statistical mechanics is at present the best methodology available to obtain a quantitative description of complex systems, and that ecology is in urgent need of "integrative" approaches that are quantitative and nonstationary. We describe examples where combining statistical mechanics and ecology has led to improved ecological modeling and, at the same time, broadened the scope of statistical mechanics.
authors.affiliation: Institute for Mathematical Sciences, Imperial College London, London, UK. h.jensen@imperial.ac.uk
authors.forename: Henrik Jeldtoft
authors.initials: HJ
authors.lastname: Jensen
authors.forename: Elsa
authors.initials: E
authors.lastname: Arcaute
mesh_terms: D004463:Ecology / Q000458:organization & administration*; D017753:Ecosystem; D008962:Models, Theoretical