Bat population dynamics: multilevel model based on individuals' energetics
Temperate-zone bats are subject to serious energetic constraints due to their high surface area to volume relations, the cost of temperature regulation, the high metabolic cost of flight, and the seasonality of their resources. We present a novel, multilevel theoretical approach that integrates info...
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AIMS Press
2008-09-01
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Series: | Mathematical Biosciences and Engineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.743 |
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author | Paula Federico Dobromir T. Dimitrov Gary F. McCracken |
author_facet | Paula Federico Dobromir T. Dimitrov Gary F. McCracken |
author_sort | Paula Federico |
collection | DOAJ |
description | Temperate-zone bats are subject to serious energetic constraints due to their high surface area to volume relations, the cost of temperature regulation, the high metabolic cost of flight, and the seasonality of their resources. We present a novel, multilevel theoretical approach that integrates information on bat biology collected at a lower level of organization, the individual with its physiological characteristics, into a modeling framework at a higher level, the population. Our individual component describes the growth of an individual female bat by modeling the dynamics of the main body compartments (lipids, proteins, and carbohydrates). A structured population model based on extended McKendrick-von Foerster partial differential equations integrates those individual dynamics and provides insight into possible regulatory mechanisms of population size as well as conditions of population survival and extinction. Though parameterized for a specific bat species, all modeling components can be modified to investigate other bats with similar life histories. A better understanding of population dynamics in bats can assist in the development of management techniques and conservation strategies, and to investigate stress effects. Studying population dynamics of bats presents particular challenges, but bats are essential in some areas of concern in conservation and disease ecology that demand immediate investigation. |
format | Article |
id | doaj-art-199bcbcd7ed84ccc863ab4cb46bea688 |
institution | Kabale University |
issn | 1551-0018 |
language | English |
publishDate | 2008-09-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Biosciences and Engineering |
spelling | doaj-art-199bcbcd7ed84ccc863ab4cb46bea6882025-01-24T01:58:42ZengAIMS PressMathematical Biosciences and Engineering1551-00182008-09-015474375610.3934/mbe.2008.5.743Bat population dynamics: multilevel model based on individuals' energeticsPaula Federico0Dobromir T. Dimitrov1Gary F. McCracken2Department of Mathematics, The University of Tennessee, Knoxville, TN 37996-1300Department of Mathematics, The University of Tennessee, Knoxville, TN 37996-1300Department of Mathematics, The University of Tennessee, Knoxville, TN 37996-1300Temperate-zone bats are subject to serious energetic constraints due to their high surface area to volume relations, the cost of temperature regulation, the high metabolic cost of flight, and the seasonality of their resources. We present a novel, multilevel theoretical approach that integrates information on bat biology collected at a lower level of organization, the individual with its physiological characteristics, into a modeling framework at a higher level, the population. Our individual component describes the growth of an individual female bat by modeling the dynamics of the main body compartments (lipids, proteins, and carbohydrates). A structured population model based on extended McKendrick-von Foerster partial differential equations integrates those individual dynamics and provides insight into possible regulatory mechanisms of population size as well as conditions of population survival and extinction. Though parameterized for a specific bat species, all modeling components can be modified to investigate other bats with similar life histories. A better understanding of population dynamics in bats can assist in the development of management techniques and conservation strategies, and to investigate stress effects. Studying population dynamics of bats presents particular challenges, but bats are essential in some areas of concern in conservation and disease ecology that demand immediate investigation.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.743individual based modelenergetic based modelpopulation dynamicshibernating mammalbats |
spellingShingle | Paula Federico Dobromir T. Dimitrov Gary F. McCracken Bat population dynamics: multilevel model based on individuals' energetics Mathematical Biosciences and Engineering individual based model energetic based model population dynamics hibernating mammal bats |
title | Bat population dynamics: multilevel model based on individuals' energetics |
title_full | Bat population dynamics: multilevel model based on individuals' energetics |
title_fullStr | Bat population dynamics: multilevel model based on individuals' energetics |
title_full_unstemmed | Bat population dynamics: multilevel model based on individuals' energetics |
title_short | Bat population dynamics: multilevel model based on individuals' energetics |
title_sort | bat population dynamics multilevel model based on individuals energetics |
topic | individual based model energetic based model population dynamics hibernating mammal bats |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.743 |
work_keys_str_mv | AT paulafederico batpopulationdynamicsmultilevelmodelbasedonindividualsenergetics AT dobromirtdimitrov batpopulationdynamicsmultilevelmodelbasedonindividualsenergetics AT garyfmccracken batpopulationdynamicsmultilevelmodelbasedonindividualsenergetics |