Inferring ecosystem networks as information flows

• Published in: Scientific reports Vol. 11; no. 1; pp. 7094 - 22
• Main Authors: Li, Jie, Convertino, Matteo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 29.03.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/57/2266; 639/705/1042; 704/158/1144; 704/158/1745; 704/158/2445; 704/158/2446/1491; 704/158/2451; 704/158/2463; 704/158/851; 704/158/853; Anthropogenic factors; Biodiversity; Causality; Computer applications; Divergence; Ecological function; Ecosystem management; Ecosystem models; Ecosystems; Fluctuations; Humanities and Social Sciences; Marine protected areas; multidisciplinary; Prey; Protected areas; Science; Science (multidisciplinary); Structure-function relationships; Synchronization; Timing

The detection of causal interactions is of great importance when inferring complex ecosystem functional and structural networks for basic and applied research. Convergent cross mapping (CCM) based on nonlinear state-space reconstruction made substantial progress about network inference by measuring...