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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 the ecology and evolution of these systems. For example, understanding which interactions are spatially widespread or temporally stable (and conversely which are dynamic) has important implications for understanding the potential for coevolution, as well as the stability of these systems and resistance and resilience to human stressors like climate change. 

Relevant publications:

• Peralta G, CaraDonna PJ, Rakosy D, Fründ J, Pascual Tudanca MP, Dormann CF, Burkle LA, Kaiser-Bunbury NC, Knight TM, Resasco J, Winfree R, Blüthgen N, Castillo WJ, and Vázquez DP (2024) Predicting plant-pollinator interactions: concepts, methods, and challenges. Trends in Ecology and Evolution. in press.
• Peralta G, Resasco J, Worthy S, Frost CM, Guevara AT, Manning I, Cagnolo L, and Burkle LA. (2024) . Functional Ecology  38: 875–882.
• Resasco J, Chacoff NP, and Vázquez DP (2021) . Ecology. 102: e03359.
• CaraDonna PJ, Burkle LA, Schwarz B, Resasco J, Knight T, Benadi G, Blüthgen N, Dormann CF, Fang Q, Fründ J, Gauzens B, Kaiser-Bunbury C, Winfree R, and Vázquez DP (2021) . Ecology Letters  24: 149-161.
• Schwarz B, Vázquez DP, CaraDonna PJ, Knight TM, Benadi G, Dormann CF, Gauzens B, Motivans E, Resasco J, Blüthgen N, Burkle LA, Fang Q, Kaiser-Bunbury CN, Alarcón R, Bain JA, Chacoff NP, Huang S-Q, LeBuhn G, MacLeod M, Petanidou T, Rasmussen C, Simanonok MP, Thompson AH, and Fründ J (2020) . Oikos 129: 1271-1439.
• Chacoff NP, Resasco J, and Vázquez DP (2018) . Ecology 99: 21-28. 
   

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