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78<br />

Population Mod€l for The Nile <strong>Crocodile</strong> witb<br />

Analysis of Sustrinabl€ Harvesting Strategies<br />

G.C. Craig<br />

P. Bag 8R165 Gaborone<br />

Botswana<br />

INTRODUCTION<br />

In the late 1980's x model was requned by CI IES to help make more wide nnging recommcnuduons tor<br />

conservation xnd management of the nile crocodile . The snme need had been idenfned by Zimbabwe's<br />

Department of Nadonal Park and Wildlife Managemcnl where an inirirl studv (Craig 9l!3!' 1989)' $ew<br />

int; a report to CITES (Craig q!4. 1992). This paper is a repelilion of the most impormnt conclusions<br />

feached as a resuli of that work,<br />

The main need was for predictons about likoly levels of sDstained yields of various harvesting stmtegies<br />

and theil impacts on crocodile populations. It was recognised lhnt existing infomation mighl be<br />

inadequate to give accumte predictions, but these were nevenhelcss urgenlly requi€d' based on such<br />

informxtion as wa-s available, wilh some stalement of lhe reliability of the original information and about<br />

the effecl of that on lhe confidencc in the prediclions- This approach, it was hoped, would provide<br />

provisional options for cromdile man:tgement and at the same tirnc highlight those aspeds whcr€<br />

;dditional information was urgently needed. In the event. exisling infornation was found to be so<br />

inadequate in some respecls that novel infonnation was also incorporated.<br />

It was felt lhat the lack of accurate informalion did not permit the construciion of a model incor?orating<br />

the degrec of complexity ofsome previoos crocodilian models (c.g Nichols 9!!L (1976). This resulted<br />

in an approach where, for tho most part, calculalion replaced computcr simulation, and where the results<br />

and their underlying ceuses were intuitively simple to interpret.<br />

ME"THODS<br />

The model was based on the discrete Lotki-Volterm equation:<br />

E ]x n* e''* = r (1)<br />

No attempt to simulate slochsticxlly determined outcomes was made' as lhis was considered unimporhni<br />

under the envisaged circumstances of the populalion. Density dependen( effects were not allowed for<br />

a) there is inadequate infotmation to allow thcse to be simulated realistically and<br />

b) the conclusions can usefstly be linited to a strge of populntion devolopenent where densny<br />

dependent effects are unimporlant.

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