"Network ecology" is a messy space. Representing ecological interactions as a network has been hotly contested for decades, a major critique being that the resulting network is a static snapshot. Ecological networks primarily encode one type of information at a time: all the interactions of a certain type (e.g., a food web), all the interactions at a certain time or place (e.g., observed in "lake X" in August 2010). In a new co-authored paper out now in Functional Ecology, we review a new framework for networks in ecology that encode information through time and space, or across interaction type.
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