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Transit times and mean ages for nonautonomous and autonomous compartmental systems

Journal Article · · Journal of Mathematical Biology
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [7];  [9];  [7]
  1. Imperial College London, London (United Kingdom)
  2. Univ. of California, Davis, CA (United States)
  3. Microsoft Research, Cambridge (United Kingdom)
  4. Univ. of Kansas, Lawrence, KS (United States)
  5. Univ. of Texas, Arlington, TX (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  7. Univ. of Oklahoma, Norman, OK (United States)
  8. Univ. of Oklahoma, Norman, OK (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. CSIRO Oceans and Atmosphere, Aspendale, VIC (Australia)

In this study, we develop a theory for transit times and mean ages for nonautonomous compartmental systems. Using the McKendrick–von Förster equation, we show that the mean ages of mass in a compartmental system satisfy a linear nonautonomous ordinary differential equation that is exponentially stable. We then define a nonautonomous version of transit time as the mean age of mass leaving the compartmental system at a particular time and show that our nonautonomous theory generalises the autonomous case. We apply these results to study a nine-dimensional nonautonomous compartmental system modeling the terrestrial carbon cycle, which is a modification of the Carnegie–Ames–Stanford approach model, and we demonstrate that the nonautonomous versions of transit time and mean age differ significantly from the autonomous quantities when calculated for that model.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
OSTI ID:
1251563
Alternate ID(s):
OSTI ID: 1327769
OSTI ID: 1333444
OSTI ID: 1399520
Journal Information:
Journal of Mathematical Biology, Journal Name: Journal of Mathematical Biology Journal Issue: 6-7 Vol. 73; ISSN 0303-6812
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (17)

Dynamic Ecological System Measures posted_content January 2018
On topological entropy and topological pressure of non-autonomous iterated function systems preprint January 2018
Evaluating the simulated mean soil carbon transit times by Earth system models using observations journal January 2019
Ages and transit times as important diagnostics of model performance for predicting carbon dynamics in terrestrial vegetation models posted_content August 2017
The Climate Benefit of Carbon Sequestration journal June 2020
Static ecological system analysis: A holistic analysis of compartmental systems journal April 2019
Static ecological system measures: A holistic analysis of compartmental systems journal April 2019
Representing and Understanding the Carbon Cycle Using the Theory of Compartmental Dynamical Systems journal August 2018
Transit-time and age distributions for nonlinear time-dependent compartmental systems journal January 2018
Modelling transport and mean age of dense core vesicles in large axonal arbours journal August 2019
The muddle of ages, turnover, transit, and residence times in the carbon cycle journal November 2016
Matrix approach to land carbon cycle modeling: A case study with the Community Land Model journal November 2017
Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models journal November 2017
Static Ecological System Measures posted_content January 2018
Static Ecological System Analysis posted_content January 2018
Modeling transport and mean age of dense core vesicles in large axonal arbors text January 2019
Ages and transit times as important diagnostics of model performance for predicting carbon dynamics in terrestrial vegetation models journal January 2018

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