Hydra effects in stable food chain models.


Journal

Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 13 12 2018
revised: 07 08 2019
accepted: 13 08 2019
pubmed: 23 8 2019
medline: 3 3 2020
entrez: 23 8 2019
Statut: ppublish

Résumé

In this paper, we explore the occurrence of the hydra effect in food chains, a popular research theme in the current decade. The hydra effect, one of the paradoxical results in theoretical and applied ecology refers to the fact where increasing mortality rate on a population enhances its own stock. The main focus is to propose a dynamical system model of food chain showing a stable steady state and estimate the variation of stock of targeted species with increasing mortality. In our model, the per capita growth rate of any predator trophic level does not depend upon its density. The prey-predator model incorporating such a feature for predator growth is referred to as 'pure predator system' (see Sieber and Hilker (2012), J. Math. Biol. (2012) 64: 341-360, Journal of Mathematical Biology). Keeping the above feature in mind, we study a Rosenweig-MacArthur food chain model with logistic prey growth and Holling type II functional responses. It is shown that hydra effect at stable state appears on (a) prey in a four-trophic system, (b) first predator in a five-trophic system, and (c) prey and second predator in a six-trophic system. Xiao and Cao (2009) (Mathematical and Computer Modelling 50 (2009) 360-379) established that limit cycle may be observed due to harvesting in a system with the ratio-dependent prey-predator system (example of a non "non-pure predator system"). Therefore, if harvesting causes instability on some range of mortality rate, the hydra effect cannot occur at a stable state. Some results show that the unique stable steady state in our model remains stable under harvesting of either trophic level. As a whole, our investigations have some contribution in understanding population interactions, fishery management and biological pest control tactic.

Identifiants

pubmed: 31437528
pii: S0303-2647(18)30436-2
doi: 10.1016/j.biosystems.2019.104018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104018

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Debprasad Pal (D)

Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Botanic Garden, Howrah 711103, West Bengal, India; Department of Mathematics, Bethune College, 181, Bidhan Sarani, Kolkata 700006, West Bengal, India.

Bapan Ghosh (B)

Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong 793003, Meghalaya, India. Electronic address: keshab_bg@yahoo.in.

Tapan Kumar Kar (TK)

Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Botanic Garden, Howrah 711103, West Bengal, India.

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Classifications MeSH