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大亚湾大型底栖动物生产力变化特征

杜飞雁;王雪辉;李纯厚;贾晓平   

  1. 中国水产科学研究院南海水产研究所农业部渔业生态环境开放实验室, 广州 510300
  • 收稿日期:2007-06-27 修回日期:1900-01-01 出版日期:2008-04-20 发布日期:2008-04-20

Variation characteristics of macrobenthos productivity in Daya Bay of South China Sea.

DU Fei-yan;WANG Xue-hui; LI Chun-hou;JIA Xiao-ping   

  1. Key Laboratory of Fishery Ecology Environment of Agriculture Ministry, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China
  • Received:2007-06-27 Revised:1900-01-01 Online:2008-04-20 Published:2008-04-20

摘要: 利用1988年1月、7月和2004年3月、5月、9月、12月在大亚湾海域开展的7个航次63个站次的大型底栖动物调查数据,通过Brey经验公式对两个时段的大型底栖动物生产力和P/B值的变化特征进行研究.结果表明: 目前该海域大型底栖动物年生产力为10.22 g AFDM ·m-2 ,平均P/B值为0.85·a-1,在我国各海域中处于中上水平.两个指标的数值均高于1988年的7.25 g AFDM ·m-2·a-1和0.76·a-1,印证了大亚湾高输出系统是依赖快速周转来维持系统的高生产力的结论;大亚湾大型底栖动物4个主要类群的生产力和P/B值变化存在较大差异;湾内生产力的平面分布也发生了较大变化,生产力和P/B值的区域差异与人类活动影响密切相关, 生产力变化最显著的区域内人类活动影响显著.

关键词: 秋季景观林, 色彩要素, 色彩量化, 视觉特性, 景观美学质量

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 ·m-2·a-1 and 0.85·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 ·m-2·a-1 and 0.76·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.

Key words: autumn landscape forest, color element, color quantization, visual characteristics, landscape aesthetic quality