Body measurements from selective hunting: biometric features of red deer (Cervus elaphus) from Northern Apennine, Italy

Autor: Valentina Becciolini, Riccardo Bozzi, Michele Viliani, Stefano Biffani, Maria Paola Ponzetta
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Italian Journal of Animal Science, Vol 15, Iss 3, Pp 461-472 (2016)
Druh dokumentu: article
ISSN: 1594-4077
1828-051X
1828051X
DOI: 10.1080/1828051X.2016.1186505
Popis: Morphometric studies on European red deer (Cervus elaphus L.) living in sub-Mediterranean areas are rare. In this paper, we provide the first morphometric description of red deer from Apennine living in Prato Province, as well as a description of its skeletal growth pattern. We analysed 18 body, cranial and antler measurements from 905 deer carcasses, collected during 12 hunting seasons (2000–2012). The body size of red deer from Prato appeared comparable to that of other populations from Northern Apennine and Central Alps. A significant variation in weight during the hunting season was detected only in adult stags: they were estimated to lose 23% of their eviscerated body weight from the beginning of the rutting season until the end of winter. The relationship between eviscerated body weight (EW) and whole body weight (WW) was highly significant in both sexes within every age class (R2 always higher than 0.75), thus linear regressions were assessed in order to estimate EW from WW, allowing to complete datasets when such information is missing. Growth equations were utilised to describe the development of a subset of skeletal measures (height at shoulder, hind foot length, mandible length, head–trunk length) commonly collected on hunted cervids. Hind foot length was the measure which first ceased to grow and with the highest growth constant; although the relationship between cohort hind foot length and environmental, climatic and demographic variables has to be tested for red deer from Apennine, these bones appeared a suitable biological indicator for long-term monitoring of the species.
Databáze: Directory of Open Access Journals
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