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Gastropods on submersed macrophytes in Yangtze lakes: Community characteristics and empirical modelling
Wang, Hai-Jun; Pan, Bao-Zhu; Liang, Xiao-Min; Wang, Hong-Zhu; Wang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2006
Source PublicationINTERNATIONAL REVIEW OF HYDROBIOLOGY
ISSN1434-2944
Volume91Issue:6Pages:521-538
AbstractEpiphytic gastropods in Yangtze lakes have suffered from large-scale declines of submersed macrophytes during past decades. To better understand what controls gastropod community, monthly investigations were carried out in four Yangtze lakes during December, 2001-March, 2003. Composed of 23 species belonging to Pulmonata and Prosobranchia, the community is characterized by the constitution of small individuals. The average density and biomass were 417 +/- 160 ind/m(2) and 18.05 +/- 7.43 g/m(2), with maxima a-round August. Submersed macrophyte biomass is shown to be the key factor affecting species number, density, and biomass of gastropods. Accordingly, a series of annual and seasonal models yielding high predictive powers were generated. Preference analyses demonstrated that pulmonates and prosobranchs with different respiratory organs prefer different macrophyte functional groups.; Epiphytic gastropods in Yangtze lakes have suffered from large-scale declines of submersed macrophytes during past decades. To better understand what controls gastropod community, monthly investigations were carried out in four Yangtze lakes during December, 2001-March, 2003. Composed of 23 species belonging to Pulmonata and Prosobranchia, the community is characterized by the constitution of small individuals. The average density and biomass were 417 +/- 160 ind/m(2) and 18.05 +/- 7.43 g/m(2), with maxima a-round August. Submersed macrophyte biomass is shown to be the key factor affecting species number, density, and biomass of gastropods. Accordingly, a series of annual and seasonal models yielding high predictive powers were generated. Preference analyses demonstrated that pulmonates and prosobranchs with different respiratory organs prefer different macrophyte functional groups.
SubtypeArticle
KeywordEpiphytic Gastropods Yangtze Shallow Lakes Community Structure Empirical Models Preference Analyses
DepartmentChinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China; Chinese Acad Sci, Grad Sch, Beijing 100864, Peoples R China
Subject AreaMarine & Freshwater Biology
DOI10.1002/iroh.200510846
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS Research AreaMarine & Freshwater Biology
WOS SubjectMarine & Freshwater Biology
WOS IDWOS:000243356200003
WOS KeywordLAWRENCE-RIVER ; AQUATIC PLANTS ; NEW-ZEALAND ; INVERTEBRATES ; ABUNDANCE ; DISTRIBUTIONS ; PERIPHYTON ; EPIPHYTES ; PREDATION ; QUEBEC
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/152342/8732
Collection期刊论文
Corresponding AuthorWang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100864, Peoples R China
Recommended Citation
GB/T 7714
Wang, Hai-Jun,Pan, Bao-Zhu,Liang, Xiao-Min,et al. Gastropods on submersed macrophytes in Yangtze lakes: Community characteristics and empirical modelling[J]. INTERNATIONAL REVIEW OF HYDROBIOLOGY,2006,91(6):521-538.
APA Wang, Hai-Jun,Pan, Bao-Zhu,Liang, Xiao-Min,Wang, Hong-Zhu,&Wang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China.(2006).Gastropods on submersed macrophytes in Yangtze lakes: Community characteristics and empirical modelling.INTERNATIONAL REVIEW OF HYDROBIOLOGY,91(6),521-538.
MLA Wang, Hai-Jun,et al."Gastropods on submersed macrophytes in Yangtze lakes: Community characteristics and empirical modelling".INTERNATIONAL REVIEW OF HYDROBIOLOGY 91.6(2006):521-538.
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