{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T11:55:06Z","timestamp":1788263706398,"version":"build-2803163510"},"reference-count":54,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000202","name":"U.S. Fish and Wildlife Service","doi-asserted-by":"publisher","award":["F17AC01071"],"award-info":[{"award-number":["F17AC01071"]}],"id":[{"id":"10.13039\/100000202","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Body condition is used as an indicator of the degree of body fat in an animal but evidence of its actual relationship with health diagnostics (e.g., blood parameters) is usually lacking across species. In American alligators (<jats:italic>Alligator mississippiensis<\/jats:italic>), body condition has been used as a performance metric within the Greater Everglades ecosystem to provide insight on hydrological and landscape changes on alligator populations. However, there is no clear evidence that spatial body condition changes relate to different health conditions (low food intake vs sickness) and whether this link can be made when relating body condition values with blood parameters. We assessed the relationship between alligator body condition and 36 hematological and biochemistry (blood) parameters in four areas across two physiographic regions (Everglades and Big Cypress) of the Greater Everglades (sample size = 120). We found very strong to weak evidence of linearity between 7 (Big Cypress) and 19 (Everglades) blood parameters and relative condition factor index, from which cholesterol (38%) and uric acid (41%) for the former and phosphorus (up to 52%) and cholesterol (up to 45%) for the latter (mean absolute error MAE = 0.18 each) were the predictors that individually explain most of the body condition variation. The best combination of blood parameters for the Everglades were cholesterol, phosphorus, osmolality, total protein, albumin, alpha 2, beta, and gamma globulins, and corticosterone accounting for 40% (37 \u00b1 21%, MAE = 0.16) of the variation found in alligator body condition for this region. We found better predictability power in models when analyzed at smaller rather than larger scales showing a potential habitat effect on the body condition\u2014blood parameters relationship. Overall, Everglades alligators in poorer condition are likely dehydrated or have an inadequate diet and the spatial differences found between physiographic regions suggest that these areas differ in prey availability\/quality.<\/jats:p>","DOI":"10.1371\/journal.pone.0295357","type":"journal-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T19:03:44Z","timestamp":1701371024000},"page":"e0295357","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":9,"title":["Body condition as a descriptor of American alligator (Alligator mississippiensis) health status in the Greater Everglades, Florida, United States"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5153-0031","authenticated-orcid":true,"given":"Sergio A.","family":"Balaguera-Reina","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9655-0290","authenticated-orcid":true,"given":"Laura A.","family":"Brandt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1920-3727","authenticated-orcid":true,"given":"Nicole D.","family":"Hernandez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5325-5686","authenticated-orcid":true,"given":"Brittany M.","family":"Mason","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher D.","family":"Smith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank J.","family":"Mazzotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"issue":"1","key":"pone.0295357.ref001","doi-asserted-by":"crossref","first-page":"61","DOI":"10.2307\/3545585","article-title":"Estimating Fitness: A comparison of body condition indices","volume":"77","author":"EM Jakob","year":"1996","journal-title":"Oikos"},{"issue":"1","key":"pone.0295357.ref002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10336-011-0706-1","article-title":"Morphometric indices of body condition in birds: a review","volume":"153","author":"MK Labocha","year":"2011","journal-title":"J Ornithol"},{"issue":"2","key":"pone.0295357.ref003","doi-asserted-by":"crossref","first-page":"e0282093","DOI":"10.1371\/journal.pone.0282093","article-title":"How to estimate body condition in large lizards? 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