Applying allometric scaling to predator-prey systems

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Applying allometric scaling to predator-prey systems. / Eilersen, Andreas; Sneppen, Kim.

I: Physical Review E, Bind 99, Nr. 2, 022405, 08.02.2019.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Eilersen, A & Sneppen, K 2019, 'Applying allometric scaling to predator-prey systems', Physical Review E, bind 99, nr. 2, 022405. https://doi.org/10.1103/PhysRevE.99.022405

APA

Eilersen, A., & Sneppen, K. (2019). Applying allometric scaling to predator-prey systems. Physical Review E, 99(2), [022405]. https://doi.org/10.1103/PhysRevE.99.022405

Vancouver

Eilersen A, Sneppen K. Applying allometric scaling to predator-prey systems. Physical Review E. 2019 feb. 8;99(2). 022405. https://doi.org/10.1103/PhysRevE.99.022405

Author

Eilersen, Andreas ; Sneppen, Kim. / Applying allometric scaling to predator-prey systems. I: Physical Review E. 2019 ; Bind 99, Nr. 2.

Bibtex

@article{3b43899142234798868b25ee7891f3ba,
title = "Applying allometric scaling to predator-prey systems",
abstract = "In population dynamics, mathematical models often contain too many parameters to be easily testable. A way to reliably estimate parameters for a broad range of systems would help us obtain clearer predictions from theory. In this paper, we examine how the allometric scaling of a number of biological quantities with animal mass may be useful to parameterize population dynamical models. Using this allometric scaling, we make predictions about the ratio of prey to predators in real ecosystems, and we attempt to estimate the length of animal population cycles as a function of mass. Our analytical and numerical results turn out to compare reasonably to data from a number of ecosystems. This paves the way for a wider usage of allometric scaling to simplify mathematical models in population dynamics and make testable predictions.",
author = "Andreas Eilersen and Kim Sneppen",
year = "2019",
month = feb,
day = "8",
doi = "10.1103/PhysRevE.99.022405",
language = "English",
volume = "99",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",
number = "2",

}

RIS

TY - JOUR

T1 - Applying allometric scaling to predator-prey systems

AU - Eilersen, Andreas

AU - Sneppen, Kim

PY - 2019/2/8

Y1 - 2019/2/8

N2 - In population dynamics, mathematical models often contain too many parameters to be easily testable. A way to reliably estimate parameters for a broad range of systems would help us obtain clearer predictions from theory. In this paper, we examine how the allometric scaling of a number of biological quantities with animal mass may be useful to parameterize population dynamical models. Using this allometric scaling, we make predictions about the ratio of prey to predators in real ecosystems, and we attempt to estimate the length of animal population cycles as a function of mass. Our analytical and numerical results turn out to compare reasonably to data from a number of ecosystems. This paves the way for a wider usage of allometric scaling to simplify mathematical models in population dynamics and make testable predictions.

AB - In population dynamics, mathematical models often contain too many parameters to be easily testable. A way to reliably estimate parameters for a broad range of systems would help us obtain clearer predictions from theory. In this paper, we examine how the allometric scaling of a number of biological quantities with animal mass may be useful to parameterize population dynamical models. Using this allometric scaling, we make predictions about the ratio of prey to predators in real ecosystems, and we attempt to estimate the length of animal population cycles as a function of mass. Our analytical and numerical results turn out to compare reasonably to data from a number of ecosystems. This paves the way for a wider usage of allometric scaling to simplify mathematical models in population dynamics and make testable predictions.

U2 - 10.1103/PhysRevE.99.022405

DO - 10.1103/PhysRevE.99.022405

M3 - Journal article

C2 - 30934339

AN - SCOPUS:85061548148

VL - 99

JO - Physical Review E

JF - Physical Review E

SN - 2470-0045

IS - 2

M1 - 022405

ER -

ID: 217103713