Interaction networks are typically presented and analyzed as compiled observations over multiple time periods or sites but decomposing networks into their spatiotemporal components can give us insights into to ecology and evolution of these systems. For example, understanding which interactions are spatially widespead or temporally stable (and conversely which are dynamic) has important implications for understanding potential for coevolution, as well as stability of these systems and resistance and resilience to human stressors like climate change. Our work on this topic has been from the the Monte desert at the foothills of the Andes in Argentina, work done in collaboration with Diego Vázquez (IADIZA, CONICET, Argentina) and Natacha Chacoff (IER, CONICET, Universidad Nacional de Tucumán, Argentina) and another in the a subalpine meadow in Colorado’s Rocky Mountains at University of Colorado’s Mountain Research Station. 


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