Modeling gas dynamics in shallow and deep diving Bottlenose dolphins

Abstract

A previously published gas kinetics model will be used to assess the estimate blood and tissue O2, CO2, and N2 tension from bottleno"se dolphin dive records. We will alter the model parameter input with values specific to the bottlenose dolphin and compare differen"ces in model output between shallow and deep diving animals. Initially, all physiological and behavioral variables, i.e. metabolic r""ate, cardiac output, diving lung volume, will be the same for the two populations, e.g. body compartment size/composition, cardiac o""utput, metabolic rate, lung compliance, and shunt. We will explore how differences in model output between the two populations is af""fected by adjusting a number of variables, such as diving lung volume, cardiac output. In addition, we will adjust the body composit""ion for the deep diving dolphins to match the morphology of deep divers, e.g. large muscle mass, increased myoglobin. These changes"" will increase the O2 stores and reduce the metabolic rate, and thereby the cardiac output, and we hypothesize that this will affect"" the blood and tissue O2, CO2, and N2 tensions. Comparing model output from shallow and deep diving individuals within the same spec""ies allow us to compare which responses may have the largest impact on the results and provide guidelines for additional studies, su""ch as measuring the physiological consequences of sonar exposure. We will also compare model output between high (archival tag, 1 Hz""), and low (SPLASH transmitting tag) resolution tags. The differences will determine where lack of high-resolution data may be impor""tant, which in turn may help guide tag programming or future tag technology development. These results will also provide expand the"" understanding about the physiology of these animals, i.e. to what extent changes in diving behavior may significantly alter physiol"ogy.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 01, 2017
Source ID
N000141712756

Entities

People

  • Andreas Fahlman

Organizations

  • Oceanogràfic
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Environmental science

Readers

  • Cardiovascular Physiology
  • Computational Modeling and Simulation
  • Marine Mammal Biology