Biotic interactions are an unexpected yet critical control on the complexity of an abiotically driven polar ecosystem

• Published in: Communications Biology
• Main Authors: Lee, Charles K., Laughlin, Daniel C., Bottos, Eric M., Caruso, Tancredi, Joy, Kurt, Barrett, John E., Brabyn, Lars, Nielsen, Uffe N. (R17023), Adams, Byron J., Wall, Diana H., Hopkins, David W., Pointing, Stephen B., McDonald, Ian R., Cowan, Don A., Banks, Jonathan C., Stichbury, Glen A., Jones, Irfon, Zawar-Reza, Peyman, Katurji, Marwan, Hogg, Ian D., Sparrow, Ashley D., Storey, Bryan C., Green, T. G. Allan, Cary, S. Craig
• Other Authors: Hawkesbury Institute for the Environment (Host institution)
• Format: Article in Journal/Newspaper
• Language: English
• Published: U.K., Nature Publishing Group 2019
• Subjects: XXXXXX - Unknown; biodiversity; food chains (ecology); McMurdo Dry Valleys (Antarctica); Antarctic; McMurdo Dry Valleys; The Antarctic; Antarc*; Antarctica
• Online Access: https://doi.org/10.1038/s42003-018-0274-5; http://handle.westernsydney.edu.au:8081/1959.7/uws:51780

Abiotic and biotic factors control ecosystem biodiversity, but their relative contributions remain unclear. The ultraoligotrophic ecosystem of the Antarctic Dry Valleys, a simple yet highly heterogeneous ecosystem, is a natural laboratory well-suited for resolving the abiotic and biotic controls of community structure. We undertook a multidisciplinary investigation to capture ecologically relevant biotic and abiotic attributes of more than 500 sites in the Dry Valleys, encompassing observed landscape heterogeneities across more than 200 km2. Using richness of autotrophic and heterotrophic taxa as a proxy for functional complexity, we linked measured variables in a parsimonious yet comprehensive structural equation model that explained significant variations in biological complexity and identified landscape-scale and fine-scale abiotic factors as the primary drivers of diversity. However, the inclusion of linkages among functional groups was essential for constructing the best-fitting model. Our findings support the notion that biotic interactions make crucial contributions even in an extremely simple ecosystem.