z-logo
open-access-imgOpen Access
HARVESTING PROCEDURES WITH MANAGEMENT POLICY IN ITERATIVE DENSITY‐DEPENDENT POPULATION MODELS
Author(s) -
Cooke Kenneth L.,
Elderkin Richard,
Witten Matthew
Publication year - 1988
Publication title -
natural resource modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.28
H-Index - 32
eISSN - 1939-7445
pISSN - 0890-8575
DOI - 10.1111/j.1939-7445.1988.tb00065.x
Subject(s) - constant (computer programming) , quadratic equation , chaotic , stability (learning theory) , population model , population , simple (philosophy) , mathematics , mathematical optimization , mathematical economics , economics , computer science , philosophy , geometry , management , demography , epistemology , machine learning , sociology , programming language
This paper analyzes harvesting in simple one species iterative density‐dependent population models. Several harvest management policies are considered, including a constant effort policy, an on‐off constant harvest policy, and several policies that include protective strategies. Results for quadratic, Ricker, and Beverton‐Holt growth functions are contrasted. It is found that even for the Beverton‐Holt case, there are parameter regions where periodic or chaotic behavior can occur under certain harvest policies. In fact, regions of stability and irregularity can alternate.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here