Article ; Online: A review of age estimation methods in non-avian reptiles by growth marks in hard tissues.
2024
Abstract: Age and growth-related data are basic biological parameters, essential in population ecology, evolution, and conservation biology. There is a growing body of published information on reptile demography derived from sclerochronology, a technique based on ... ...
| Abstract | Age and growth-related data are basic biological parameters, essential in population ecology, evolution, and conservation biology. There is a growing body of published information on reptile demography derived from sclerochronology, a technique based on counting the growth layers deposited in bones (skeletochronology) and other hard body structures. Since the data are not always easily available, we compiled the existing published data, described the current status of knowledge, synthetized the conclusions of disparate studies, and identified patterns of research and information gaps, prioritizing the needs for future research. Our database includes the results of 468 published studies covering 236 reptile species from 41 families. These represent less than 2% of the total number of known extant species. Turtles and crocodiles are proportionally better studied, while snakes are the least examined group. The distribution of the research does not reflect conservation needs; we found an important geographic bias, with an overrepresentation of Northern temperate species. Only 23% of the studies checked the assumption of periodicity of growth marks deposition, and the method was found to be reliable or adequate in 79% of the cases. Overall, the data obtained through sclerochronology can be considered robust, especially if validation methods are employed, since the general goal is to characterize population parameters, trends, and dynamics, rather than determining the exact age of any specimen in particular. |
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| Language | English |
| Publishing date | 2024-01-22 |
| Publishing country | Australia |
| Document type | Journal Article ; Review |
| ZDB-ID | 2570656-1 |
| ISSN | 1749-4877 ; 1749-4869 |
| ISSN (online) | 1749-4877 |
| ISSN | 1749-4869 |
| DOI | 10.1111/1749-4877.12808 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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