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  1. National Taiwan Ocean University Research Hub
  2. 海洋科學與資源學院
  3. 海洋環境與生態研究所
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/12460
DC FieldValueLanguage
dc.contributor.authorYi-Chun Yehen_US
dc.contributor.authorPedro R Peres-Netoen_US
dc.contributor.authorShiao‐Wei Hunagen_US
dc.contributor.authorYung-Chih Laien_US
dc.contributor.authorChen-Yi Tuen_US
dc.contributor.authorFuh‐Kwo Shiahen_US
dc.contributor.authorGwo-Ching Gongen_US
dc.contributor.authorChih-hao Hsiehen_US
dc.date.accessioned2020-11-24T02:05:42Z-
dc.date.available2020-11-24T02:05:42Z-
dc.date.issued2015-02-
dc.identifier.issn0906-7590-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/12460-
dc.description.abstractSpatial variation of communities composition (metacommunities) results from multiple assembly mechanisms, including environmental filtering and dispersal; however, whether and why the relative importance of the assembly mechanisms in shaping bacterial metacommunity changes through time in marine pelagic systems remains poorly studied. Here, we applied the elements of metacommunity structure framework and the variation partitioning framework to examine whether temporal variation of hydrographic conditions influences bacterioplankton metacommunity dynamics in the southern East China Sea (ECS). The spatiotemporal variation of bacterial communities composition was revealed using 454 pyrosequencing of 16S rDNA. In addition to the whole bacterial community, we analyzed four dominant taxonomic groups (Cyanobacteria, Alphaproteobacteria, Gammaproteobacteria, and Actinobacteria) separately. Our analyses indicate that, considering the whole community level, the determinism of metacommunity structure varied among seasons. When the degree of connectivity was low (December), the metacommunity exhibited random distribution and was explained mainly by the environmental component. However, Clementsian metacommunity was found at intermediate connectivity (May), during which the environmental and spatial predictors were both significant. When connectivity was high (August), a random distribution pattern was found and no significant effect of environmental filtering or dispersal limitation was detected. Nevertheless, when considering different taxonomic groups, the differences in metacommunity dynamics among groups were found. Our results suggest that the driving forces of metacommunity dynamics varied depending on hydrography, as the degrees of environmental heterogeneity and connectivity among habitat patches were determined by circulation pattern. Moreover, mechanisms varied among different taxonomic groups, suggesting that differential dispersal capacity among taxonomic groups should be integrated into community assembly studies.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofEcographyen_US
dc.titleDeterminism of bacterial metacommunity dynamics in the southern East China Sea varies depending on hydrographyen_US
dc.typejournal articleen_US
dc.identifier.doi10.1111/ecog.00986-
dc.identifier.doi<Go to ISI>://WOS:000349463400010-
dc.identifier.doi<Go to ISI>://WOS:000349463400010-
dc.identifier.url<Go to ISI>://WOS:000349463400010
dc.relation.journalvolume38en_US
dc.relation.journalissue2en_US
dc.relation.pagespp.198-212en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptCollege of Ocean Science and Resource-
crisitem.author.deptInstitute of Marine Environment and Ecology-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.orcid0000-0001-7610-3346-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Ocean Science and Resource-
Appears in Collections:海洋環境與生態研究所
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