title: [Variation characteristics of macrobenthos productivity in Daya Bay of South China Sea].
abstract: Based on the 7 cruises survey data collected from 63 research stations in the Daya Bay of South China Sea in January and July 1988 and in March, May, September and December 2004, the variation characteristics of the abundance, biomass, productivity, and P/B value of macrobenthos in the two years were analyzed by using Brey's empirical formula. The results showed that in 2004, the mean productivity and P/B value of macrobenthos in study area were 10.22 g AFDM x m(-2) x a(-1) and 0.85 x a(-1), respectively, being at the medium-high level among the sea areas in China and higher than those in 1988 (7.25 g AFDM x m(-2) x a(-1) and 0.76 x a(-1), respectively), which corroborated the conclusion that the high output system of Daya Bay relied on the fast turnover to maintain its high productivity. The variation characteristics of the productivity and P/B value varied among the four main groups of macrobenthos, and the horizontal distribution of macrobenthos productivity also had a greater variation. The regional differences of the productivity and P/B value were closed related to human activities, and the areas in which the productivity varied significantly were intensively affected by human activities.
authors.affiliation: Key Laboratory of Fishery Ecology Environment of Agriculture Ministry, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China. feiyanegg@163.com
authors.forename: Fei-yan
authors.initials: FY
authors.lastname: Du
authors.forename: Xue-hui
authors.initials: XH
authors.lastname: Wang
authors.forename: Chun-hou
authors.initials: CH
authors.lastname: Li
authors.forename: Xiao-ping
authors.initials: XP
authors.lastname: Jia
mesh_terms: D000818:Animals; D018533:Biomass; D002681:China; D003247:Conservation of Natural Resources; D017753:Ecosystem; D005843:Geography; D008974:Mollusca / Q000254:growth & development* / Q000502:physiology; D009792:Oceans and Seas