PREDICTING ANIMAL DELTA-O-18 - ACCOUNTING FOR DIET AND PHYSIOLOGICAL ADAPTATION

Authors
Citation
Mj. Kohn, PREDICTING ANIMAL DELTA-O-18 - ACCOUNTING FOR DIET AND PHYSIOLOGICAL ADAPTATION, Geochimica et cosmochimica acta, 60(23), 1996, pp. 4811-4829
Citations number
104
Categorie Soggetti
Geochemitry & Geophysics
ISSN journal
00167037
Volume
60
Issue
23
Year of publication
1996
Pages
4811 - 4829
Database
ISI
SICI code
0016-7037(1996)60:23<4811:PAD-AF>2.0.ZU;2-1
Abstract
Theoretical predictions and measured isotope variations indicate that diet and physiological adaptation have a significant impact on animals delta(18)O and cannot be ignored. A generalized model is therefore de veloped for the prediction of animal body water and phosphate delta(18 )O to incorporate these factors quantitatively. Application of the mod el reproduces most published compositions and compositional trends for mammals and birds. A moderate dependence of animal delta(18)O on humi dity is predicted for drought-tolerant animals, and the correlation be tween humidity and North American deer bone composition as corrected f or local meteoric water is predicted within the scatter of the data. I n contrast to an observed strong correlation between kangaroo delta(18 )O and humidity (Delta delta(18)O/Delta h similar to 2.5 +/- 0.4 parts per thousand/ 10% r.h.), the predicted humidity dependence is only 1. 3 - 1.7 parts per thousand/10% r.h., and it is inferred that drinking water in hot dry areas of Australia is enriched in O-18 over rainwater . Differences in physiology and water turnover readily explain the obs erved differences in delta(18)O for several herbivore genera in East A frica, excepting antelopes. Antelope models are more sensitive to biol ogical fractionations, and adjustments to the flux of transcutaneous w ater vapor within experimentally measured ranges allows their delta(18 )O values to be matched. Models of the seasonal changes of forage comp osition for two regions with dissimilar climates show that significant seasonal variations in animal isotope composition are expected, and t hat animals with different physiologies and diets track climate differ ently. Analysis of different genera with disparate sensitivities to su rface water and humidity will allow the most accurate quantification o f past climate changes.