Optimal sampling regimes for estimating predator-prey dynamics-Reference-Cited by-同舟云学术

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Optimal sampling regimes for estimating predator-prey dynamics

Published:2023-02-28 Issue:1 Volume:10 Page:
ISSN:2768-4830
Container-title:Research in Mathematics
language:en
Short-container-title:Research in Mathematics

Author:

Atanga Rebecca E.¹^ORCID,Boone Edward L.¹,Ghanam Ryad A.²,Stewart-Koster Ben³

Affiliation:

1. Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA, USA

2. Virginia Commonwealth University - Qatar, Education City, Qatar

3. Australian Rivers Institute, Griffith University, Southport, QLD, Australia

Funder

research

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27684830.2023.2178607

Reference24 articles.

1. Optimal Sampling Regimes for Estimating Population Dynamics

2. LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S

3. Crawley, M. J. (2009). Natural enemies: The population biology of predators, parasites and diseases. John Wiley & Sons.

4. Persistence in food webs—I Lotka-Volterra food chains;Gard T. C.;Bulletin of Mathematical Biology,1979

5. Grey Lotka–Volterra models with application to cryptocurrencies adoption

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