TY  - JOUR
A1  - Miele, Vincent
A1  - Guill, Christian
A1  - Ramos-Jiliberto, Rodrigo
A1  - Kéfi, Sonia
T1  - Non-trophic interactions strengthen the diversity-functioning relationship in an ecological bioenergetic network model
JF  - PLoS Computational Biology : a new community journal
N2  - 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.
Y1  - 2020
U6  - https://doi.org/10.1371/journal.pcbi.1007269
SN  - 1553-7358
VL  - 15
IS  - 8
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - JOUR
A1  - Kefi, Sonia
A1  - Berlow, Eric L.
A1  - Wieters, Evie A.
A1  - Navarrete, Sergio A.
A1  - Petchey, Owen L.
A1  - Wood, Spencer A.
A1  - Boit, Alice
A1  - Joppa, Lucas N.
A1  - Lafferty, Kevin D.
A1  - Williams, Richard J.
A1  - Martinez, Neo D.
A1  - Menge, Bruce A.
A1  - Blanchette, Carol A.
A1  - Iles, Alison C.
A1  - Brose, Ulrich
T1  - More than a meal ... integrating non-feeding interactions into food webs
JF  - Ecology letters
N2  - 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.
KW  - Ecological network
KW  - ecosystem engineering
KW  - facilitation
KW  - food web
KW  - interaction modification
KW  - non-trophic interactions
KW  - trophic interactions
Y1  - 2012
U6  - https://doi.org/10.1111/j.1461-0248.2011.01732.x
SN  - 1461-023X
VL  - 15
IS  - 4
SP  - 291
EP  - 300
PB  - Wiley-Blackwell
CY  - Hoboken
ER  -