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Article: Demography and population trends of the largest population of Indo-Pacific humpback dolphins

TitleDemography and population trends of the largest population of Indo-Pacific humpback dolphins
Authors
KeywordsConservation genetics
Demographic survey
Dolphin
Effective population size
Endangered species
Issue Date2012
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/biocon
Citation
Biological Conservation, 2012, v. 147 n. 1, p. 234-242 How to Cite?
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. © 2012 Elsevier Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/165982
ISSN
2013 Impact Factor: 4.036
2013 SCImago Journal Rankings: 2.552
ISI Accession Number ID
References

 

Author Affiliations
  1. The University of Hong Kong
  2. Pearl River Estuary Chinese White Dolphin National Nature Reserve
  3. National Taiwan Ocean University
  4. Sun Yat-Sen University
DC FieldValueLanguage
dc.contributor.authorHuang, SLen_HK
dc.contributor.authorKarczmarski, Len_HK
dc.contributor.authorChen, Jen_HK
dc.contributor.authorZhou, Ren_HK
dc.contributor.authorLin, Wen_HK
dc.contributor.authorZhang, Hen_HK
dc.contributor.authorLi, Hen_HK
dc.contributor.authorWu, Yen_HK
dc.date.accessioned2012-09-20T08:25:59Z-
dc.date.available2012-09-20T08:25:59Z-
dc.date.issued2012en_HK
dc.identifier.citationBiological Conservation, 2012, v. 147 n. 1, p. 234-242en_HK
dc.identifier.issn0006-3207en_HK
dc.identifier.urihttp://hdl.handle.net/10722/165982-
dc.description.abstractEstimates 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. © 2012 Elsevier Ltd.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/bioconen_HK
dc.relation.ispartofBiological Conservationen_HK
dc.subjectConservation geneticsen_HK
dc.subjectDemographic surveyen_HK
dc.subjectDolphinen_HK
dc.subjectEffective population sizeen_HK
dc.subjectEndangered speciesen_HK
dc.titleDemography and population trends of the largest population of Indo-Pacific humpback dolphinsen_HK
dc.typeArticleen_HK
dc.identifier.emailHuang, SL: shianglinhuang@gmail.comen_HK
dc.identifier.emailKarczmarski, L: leszek@hku.hk-
dc.identifier.emailChen, J: zhbht2003@126.com-
dc.identifier.emailZhou, R: ruilianzhou@126.com-
dc.identifier.emailLin, W: Lam.joey@yahoo.com.cn-
dc.identifier.emailZhang, H: zhfsysu@gmail.com-
dc.identifier.emailLi, H: zhwyp@tom.com-
dc.identifier.emailWu, Y: exwyp@163.com-
dc.identifier.authorityKarczmarski, L=rp00713en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.biocon.2012.01.004en_HK
dc.identifier.scopuseid_2-s2.0-84862802640en_HK
dc.identifier.hkuros210255en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84862802640&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume147en_HK
dc.identifier.issue1en_HK
dc.identifier.spage234en_HK
dc.identifier.epage242en_HK
dc.identifier.eissn1873-2917-
dc.identifier.isiWOS:000302972700028-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridWu, Y=7406895667en_HK
dc.identifier.scopusauthoridLi, H=55262087000en_HK
dc.identifier.scopusauthoridZhang, H=55261492800en_HK
dc.identifier.scopusauthoridLin, W=16028964400en_HK
dc.identifier.scopusauthoridZhou, R=55439753700en_HK
dc.identifier.scopusauthoridChen, J=54911170200en_HK
dc.identifier.scopusauthoridKarczmarski, L=6603422145en_HK
dc.identifier.scopusauthoridHuang, SL=35262138200en_HK
dc.identifier.citeulike10313203-

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