Open AccessMODELING: A TOOL FOR ENHANCING THE SURVIVAL PROSPECTS OF AFRICAN WILDLIFE
Author(s) -
HEARNE JOHN W.,
SWART JOHAN
Publication year - 2000
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.1939-7445.2000.tb00027.x
Subject(s) - wildlife , endangered species , metapopulation , incentive , profitability index , wildlife conservation , wildlife management , population , net present value , business , environmental resource management , value (mathematics) , natural resource economics , geography , economics , ecology , microeconomics , computer science , finance , biology , sociology , demography , biological dispersal , machine learning , production (economics)
. In this article we consider the role of modeling in some aspects of the conservation of African wildlife. The first study is concerned with the endangered black rhino. Animals are being translocated from high density areas to new sites in an attempt to build up the South African population as rapidly as possible. We investigate the efficacy of different translocation strategies. Next we discuss a spatial stochastic metapopulation model used to test management strategies to enhance the survival likelihood of the rare samango monkey. The value of the model is to encourage the use of corridor policies even though there may be little apparent observable benefit in a manager's lifetime. Finally, we look at some commercial aspects of exploiting wildlife on a sustainable basis. By increasing the profitability of wildlife enterprises the incentive to conserve is increased. We look at improving the financial returns from game ranches.