TY - JOUR
T1 - Modularity and stability in ecological communities
AU - Rogers, Timothy
AU - Allesina, Stefano
AU - Grilli, Jacopo
PY - 2016/6/23
Y1 - 2016/6/23
N2 - Networks composed of distinct, densely connected subsystems are called modular. In ecology, it has been posited that a modular organization of species interactions would benefit the dynamical stability of communities, even though evidence supporting this hypothesis is mixed. Here we study the effect of modularity on the local stability of ecological dynamical systems, by presenting new results in random matrix theory, which are obtained using a quaternionic parameterization of the cavity method. Results show that modularity can have moderate stabilizing effects for particular parameter choices, while anti-modularity can greatly destabilize ecological networks.
AB - Networks composed of distinct, densely connected subsystems are called modular. In ecology, it has been posited that a modular organization of species interactions would benefit the dynamical stability of communities, even though evidence supporting this hypothesis is mixed. Here we study the effect of modularity on the local stability of ecological dynamical systems, by presenting new results in random matrix theory, which are obtained using a quaternionic parameterization of the cavity method. Results show that modularity can have moderate stabilizing effects for particular parameter choices, while anti-modularity can greatly destabilize ecological networks.
UR - http://dx.doi.org/10.1038/ncomms12031
UR - http://dx.doi.org/10.1038/ncomms12031
U2 - 10.1038/ncomms12031
DO - 10.1038/ncomms12031
M3 - Article
SN - 2041-1723
VL - 7
JO - Nature Communications
JF - Nature Communications
M1 - 12031 (2016)
ER -