@article{MieleGuillRamosJilibertoetal.2019,
  author    = {Miele, Vincent and Guill, Christian and Ramos-Jiliberto, Rodrigo and K{\´e}fi, Sonia},
  title     = {Non-trophic interactions strengthen the diversity-functioning relationship in an ecological bioenergetic network model},
  series = {PLoS Computational Biology : a new community journal},
  volume    = {15},
  journal   = {PLoS Computational Biology : a new community journal},
  number    = {8},
  publisher = {PLoS},
  address   = {San Fransisco},
  issn      = {1553-7358},
  doi       = {10.1371/journal.pcbi.1007269},
  pages     = {20},
  year      = {2019},
  abstract  = {Ecological communities are undeniably diverse, both in terms of the species that compose them as well as the type of interactions that link species to each other. Despite this long recognition of the coexistence of multiple interaction types in nature, little is known about the consequences of this diversity for community functioning. In the ongoing context of global change and increasing species extinction rates, it seems crucial to improve our understanding of the drivers of the relationship between species diversity and ecosystem functioning. Here, using a multispecies dynamical model of ecological communities including various interaction types (e.g. competition for space, predator interference, recruitment facilitation in addition to feeding), we studied the role of the presence and the intensity of these interactions for species diversity, community functioning (biomass and production) and the relationship between diversity and functioning. Taken jointly, the diverse interactions have significant effects on species diversity, whose amplitude and sign depend on the type of interactions involved and their relative abundance. They however consistently increase the slope of the relationship between diversity and functioning, suggesting that species losses might have stronger effects on community functioning than expected when ignoring the diversity of interaction types and focusing on feeding interactions only.},
  language  = {en}
}
@article{KefiBerlowWietersetal.2012,
  author    = {Kefi, Sonia and Berlow, Eric L. and Wieters, Evie A. and Navarrete, Sergio A. and Petchey, Owen L. and Wood, Spencer A. and Boit, Alice and Joppa, Lucas N. and Lafferty, Kevin D. and Williams, Richard J. and Martinez, Neo D. and Menge, Bruce A. and Blanchette, Carol A. and Iles, Alison C. and Brose, Ulrich},
  title     = {More than a meal ... integrating non-feeding interactions into food webs},
  series = {Ecology letters},
  volume    = {15},
  journal   = {Ecology letters},
  number    = {4},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1461-023X},
  doi       = {10.1111/j.1461-0248.2011.01732.x},
  pages     = {291 -- 300},
  year      = {2012},
  abstract  = {Organisms eating each other are only one of many types of well documented and important interactions among species. Other such types include habitat modification, predator interference and facilitation. However, ecological network research has been typically limited to either pure food webs or to networks of only a few (<3) interaction types. The great diversity of non-trophic interactions observed in nature has been poorly addressed by ecologists and largely excluded from network theory. Herein, we propose a conceptual framework that organises this diversity into three main functional classes defined by how they modify specific parameters in a dynamic food web model. This approach provides a path forward for incorporating non-trophic interactions in traditional food web models and offers a new perspective on tackling ecological complexity that should stimulate both theoretical and empirical approaches to understanding the patterns and dynamics of diverse species interactions in nature.},
  language  = {en}
}