
Published: July 25, 2023
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 13, 2024
Morphometric allometry, the effect of size on morphological variation, has been great interest for evolutionary biologist and is currently used in fields such as wildlife ecology to inform management conservation. We assessed American alligator (Alligator mississippiensis) static allometry across Greater Everglades ecosystem South Florida, United States using a robust dataset (~ 22 years) investigated effects sex, habitat, sampling area relationships. Regression models showed very strong evidence linear relationship between variables explaining equal or above 92% variation data. Most trait-size relationships (8 out 11 assessed) hyperallometry (positive allometry) with slope deviations from isometry 0.1 0.2 units while other three were isometric. Sampling area, type lesser extent sex influenced allometric coefficients (slope intercept) several relationships, likely result differing landscapes dynamic alterations sexual dimorphism. discuss our findings terms biology species well usefulness results context restoration conservation species. Finally, we provide recommendations when trait-length infer population nutritional-health condition demographics.
Language: Английский
Citations
1PLoS ONE, Journal Year: 2023, Volume and Issue: 18(11), P. e0295357 - e0295357
Published: Nov. 30, 2023
Body condition is used as an indicator of the degree body fat in animal but evidence its actual relationship with health diagnostics (e.g., blood parameters) usually lacking across species. In American alligators ( Alligator mississippiensis ), has been a performance metric within Greater Everglades ecosystem to provide insight on hydrological and landscape changes alligator populations. However, there no clear that spatial relate different conditions (low food intake vs sickness) whether this link can be made when relating values parameters. We assessed between 36 hematological biochemistry (blood) parameters four areas two physiographic regions (Everglades Big Cypress) (sample size = 120). found very strong weak linearity 7 (Big 19 (Everglades) relative factor index, from which cholesterol (38%) uric acid (41%) for former phosphorus (up 52%) 45%) latter (mean absolute error MAE 0.18 each) were predictors individually explain most variation. The best combination cholesterol, phosphorus, osmolality, total protein, albumin, alpha 2, beta, gamma globulins, corticosterone accounting 40% (37 ± 21%, 0.16) variation region. better predictability power models analyzed at smaller rather than larger scales showing potential habitat effect condition—blood relationship. Overall, poorer are likely dehydrated or have inadequate diet differences suggest these differ prey availability/quality.
Language: Английский
Citations
3PLoS ONE, Journal Year: 2024, Volume and Issue: 19(7), P. e0307985 - e0307985
Published: July 25, 2024
There is an error in reference 50.
Language: Английский
Citations
0Acta Tropica, Journal Year: 2024, Volume and Issue: 258, P. 107349 - 107349
Published: Aug. 3, 2024
Language: Английский
Citations
0Animals, Journal Year: 2023, Volume and Issue: 14(1), P. 1 - 1
Published: Dec. 19, 2023
In this work, we calculated the body condition indices, K-Fulton and scaled mass index (SMI), of reproductive non-reproductive
Language: Английский
Citations
1Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Journal Year: 2024, Volume and Issue: 297, P. 111712 - 111712
Published: July 29, 2024
Language: Английский
Citations
0Published: July 25, 2023
Citations
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