title: [Spatiotemporal variation and related affecting factors of Gloiopeltis furcata biomass and length around Xiaoheishan Island, Shandong of China].
abstract: Gloiopeltis furcata, an important economic red macroalga, has been severely depleted due to human disturbances. Taking the natural G. furcata populations around the Xiaoheishan Island of Shandong, China as test objects, this paper studied the spatiotemporal variation pattern of their biomass and length and related affecting factors. The two-way ANCOVA showed that at island scale, both the subbottom and the Baardseth index had significant effects on the G. furcata biomass and length. The steady subbottom and the high Baardseth index were beneficial to the G. furcata growth. At micerohabitat scale, wave action and tidal level had significant effects on the G. furcata biomass and length. Wave wash and moderate tidal level promoted the G. furcata growth. The one-way repeated measurements ANOVA showed there existed seasonal variation of G. furcat biomass and length. The optimal growth period of G. furcata was from March to April, with the peak values of biomass and length appeared in late spring and early summer.
authors.affiliation: School of Oceanology, Yantai University, Yantai 264005, Shandong, China. hlliu163@163.com
authors.forename: Hong-Liang
authors.initials: HL
authors.lastname: Liu
authors.affiliation: School of Oceanology, Yantai University, Yantai 264005, Shandong, China.
authors.forename: Yong-Zheng
authors.initials: YZ
authors.lastname: Tang
authors.affiliation: School of Oceanology, Yantai University, Yantai 264005, Shandong, China.
authors.forename: Yong-Qiang
authors.initials: YQ
authors.lastname: Yu
authors.affiliation: School of Oceanology, Yantai University, Yantai 264005, Shandong, China.
authors.forename: Xue-Meng
authors.initials: XM
authors.lastname: Li
authors.affiliation: School of Oceanology, Yantai University, Yantai 264005, Shandong, China.
authors.forename: Quan-Sheng
authors.initials: QS
authors.lastname: Zhang
mesh_terms: D018533:Biomass; D002681:China; D017753:Ecosystem; D009792:Oceans and Seas; D000461:Rhodophyta / Q000254:growth & development* / Q000502:physiology; D012621:Seasons; D012623:Seawater; D062211:Spatio-Temporal Analysis