Title of article :
Demography and population trends of the largest population of Indo-Pacific humpback dolphins
Author/Authors :
Huang، نويسنده , , Shiang-Lin and Karczmarski، نويسنده , , Leszek and Chen، نويسنده , , Jialin and Zhou، نويسنده , , Ruilian and Lin، نويسنده , , Wenzhi and Zhang، نويسنده , , Haifei and Li، نويسنده , , Haiyan and Wu، نويسنده , , Yuping، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
9
From page :
234
To page :
242
Abstract :
Estimates of demographic parameters and predictive modeling of population viability furnish baseline evidence for informed management of species and populations. There are very few examples of such approaches involving cetaceans due to often limited fundamental data, which frequently impairs the effectiveness of conservation. In this study, we estimate demographic parameters for the Indo-Pacific humpback dolphins, Sousa chinensis, from the Pearl River Estuary (PRE), China, based on a life-table constructed using data from stranded animals. We apply current abundance estimates and use an individual-based Leslie-matrix model to predict the population fluctuation by factoring in parameter uncertainty and demographic stochasticity. Our estimates indicate a continuous rate of population decline of 2.46% per annum, albeit with considerable variation. If the estimated rate of decline remains constant, 74.27% of the current population is projected to be lost after three generations and 57.60% of model simulations meet the criteria for classification as endangered under Criterion A3, applying IUCN Red List Categories and Criteria Version 3.1. However, as PRE is among the fastest economically growing regions of China and the world, the estimated rate of decline may further accelerate in a near future and the projected risk of extinction may be higher. Effective conservation measures are much needed and should be seen as a matter of urgency in management plans targeting PRE and environs.
Keywords :
Sousa chinensis , Leslie-matrix model , Population viability , Population decline rate , Pearl River estuary , Life table
Journal title :
Biological Conservation
Serial Year :
2012
Journal title :
Biological Conservation
Record number :
1910262
Link To Document :
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