{"file_date_updated":"2023-03-07T10:26:45Z","acknowledgement":"This research was supported by an Australian Government Research Training Program\r\n(RTP) Scholarship to JCM (https://www.dese.gov.au), and LB is supported by the Centre de\r\nrecherche sur le vieillissement Fellowship Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","isi":1,"ddc":["000"],"intvolume":" 18","volume":18,"year":"2023","article_type":"original","citation":{"mla":"Mckerral, Jody C., et al. “Empirical Parameterisation and Dynamical Analysis of the Allometric Rosenzweig-MacArthur Equations.” PLoS One, vol. 18, no. 2, Public Library of Science, 2023, p. e0279838, doi:10.1371/journal.pone.0279838.","ieee":"J. C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J. G. Mitchell, and J. A. Filar, “Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations,” PLoS One, vol. 18, no. 2. Public Library of Science, p. e0279838, 2023.","ama":"Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. 2023;18(2):e0279838. doi:10.1371/journal.pone.0279838","chicago":"Mckerral, Jody C., Maria Kleshnina, Vladimir Ejov, Louise Bartle, James G. Mitchell, and Jerzy A. Filar. “Empirical Parameterisation and Dynamical Analysis of the Allometric Rosenzweig-MacArthur Equations.” PLoS One. Public Library of Science, 2023. https://doi.org/10.1371/journal.pone.0279838.","apa":"Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., & Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0279838","ista":"Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. 2023. Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. 18(2), e0279838.","short":"J.C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J.G. Mitchell, J.A. Filar, PLoS One 18 (2023) e0279838."},"language":[{"iso":"eng"}],"_id":"12706","page":"e0279838","doi":"10.1371/journal.pone.0279838","has_accepted_license":"1","publication":"PLoS One","author":[{"full_name":"Mckerral, Jody C.","last_name":"Mckerral","first_name":"Jody C."},{"full_name":"Kleshnina, Maria","id":"4E21749C-F248-11E8-B48F-1D18A9856A87","last_name":"Kleshnina","first_name":"Maria"},{"last_name":"Ejov","first_name":"Vladimir","full_name":"Ejov, Vladimir"},{"full_name":"Bartle, Louise","last_name":"Bartle","first_name":"Louise"},{"full_name":"Mitchell, James G.","first_name":"James G.","last_name":"Mitchell"},{"full_name":"Filar, Jerzy A.","last_name":"Filar","first_name":"Jerzy A."}],"external_id":{"pmid":["36848357"],"isi":["000996122900022"]},"publication_identifier":{"eissn":["1932-6203"]},"title":"Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations","quality_controlled":"1","status":"public","oa":1,"oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-03-05T23:01:05Z","publisher":"Public Library of Science","scopus_import":"1","date_published":"2023-02-27T00:00:00Z","publication_status":"published","issue":"2","department":[{"_id":"KrCh"}],"abstract":[{"text":"Allometric settings of population dynamics models are appealing due to their parsimonious nature and broad utility when studying system level effects. Here, we parameterise the size-scaled Rosenzweig-MacArthur differential equations to eliminate prey-mass dependency, facilitating an in depth analytic study of the equations which incorporates scaling parameters’ contributions to coexistence. We define the functional response term to match empirical findings, and examine situations where metabolic theory derivations and observation diverge. The dynamical properties of the Rosenzweig-MacArthur system, encompassing the distribution of size-abundance equilibria, the scaling of period and amplitude of population cycling, and relationships between predator and prey abundances, are consistent with empirical observation. Our parameterisation is an accurate minimal model across 15+ orders of mass magnitude.","lang":"eng"}],"file":[{"date_updated":"2023-03-07T10:26:45Z","date_created":"2023-03-07T10:26:45Z","file_size":1257003,"file_id":"12712","success":1,"relation":"main_file","checksum":"798ed5739a4117b03173e5d56e0534c9","file_name":"2023_PLOSOne_Mckerral.pdf","creator":"cchlebak","access_level":"open_access","content_type":"application/pdf"}],"type":"journal_article","day":"27","month":"02","article_processing_charge":"No","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"pmid":1,"date_updated":"2023-10-17T12:53:30Z"}