水生生物学报
水生生物學報
수생생물학보
ACTA HYDROBIOLOGICA SINICA
2014年
5期
819-827
,共9页
孟星亮%何玉邦%宋卓彦%熬鸿毅%张虎%蒋小明
孟星亮%何玉邦%宋卓彥%熬鴻毅%張虎%蔣小明
맹성량%하옥방%송탁언%오홍의%장호%장소명
大型底栖动物%空间格局%青海湖%多因子分析
大型底棲動物%空間格跼%青海湖%多因子分析
대형저서동물%공간격국%청해호%다인자분석
Macrozoobenthos%Spatial pattern%Qinghai Lake%Multivariate analysis
为了解青海湖大型底栖动物的群落结构特征、空间分布格局及关键驱动力,于2011-2012年分4次对青海湖区主体湖、3个子湖和5条入湖河流进行了系统调查。共采集到底栖动物28个分类单元,隶属于3门5纲15科,主体湖区、咸水和淡水子湖及入湖河流分布有9、5、9和15种;它们的密度分别为455.8、1562.7、741.3和331.2 ind./m2;生物量为1.18、3.70、2.75和4.53 g/m2。优势度分析显示,喜盐摇蚊为主体湖区绝对优势种(占总密度的83.32%)。Surfer模拟显示,主体湖区东南部沿岸带的密度和生物量最高,湖心区最低;高峰值主要出现在布哈河、菜挤河等大型河流入湖的河口附近。CCA分析表明:青海湖区大型底栖动物的分布主要受水体pH、水深、总氮和盐度等环境因子的驱动。
為瞭解青海湖大型底棲動物的群落結構特徵、空間分佈格跼及關鍵驅動力,于2011-2012年分4次對青海湖區主體湖、3箇子湖和5條入湖河流進行瞭繫統調查。共採集到底棲動物28箇分類單元,隸屬于3門5綱15科,主體湖區、鹹水和淡水子湖及入湖河流分佈有9、5、9和15種;它們的密度分彆為455.8、1562.7、741.3和331.2 ind./m2;生物量為1.18、3.70、2.75和4.53 g/m2。優勢度分析顯示,喜鹽搖蚊為主體湖區絕對優勢種(佔總密度的83.32%)。Surfer模擬顯示,主體湖區東南部沿岸帶的密度和生物量最高,湖心區最低;高峰值主要齣現在佈哈河、菜擠河等大型河流入湖的河口附近。CCA分析錶明:青海湖區大型底棲動物的分佈主要受水體pH、水深、總氮和鹽度等環境因子的驅動。
위료해청해호대형저서동물적군락결구특정、공간분포격국급관건구동력,우2011-2012년분4차대청해호구주체호、3개자호화5조입호하류진행료계통조사。공채집도저서동물28개분류단원,대속우3문5강15과,주체호구、함수화담수자호급입호하류분포유9、5、9화15충;타문적밀도분별위455.8、1562.7、741.3화331.2 ind./m2;생물량위1.18、3.70、2.75화4.53 g/m2。우세도분석현시,희염요문위주체호구절대우세충(점총밀도적83.32%)。Surfer모의현시,주체호구동남부연안대적밀도화생물량최고,호심구최저;고봉치주요출현재포합하、채제하등대형하류입호적하구부근。CCA분석표명:청해호구대형저서동물적분포주요수수체pH、수심、총담화염도등배경인자적구동。
To study macrozoobenthos community structures, distributions and key underlying drive forces of the Qing-hai Lake (QL), one of typical saline lakes in Tibetan Plateau, the samples of benthic animals were taken via four diffe-rent times during 2011-2012 from QL area, including main body (MB), 3 adjacent lakes (ALs) and 5 inflowing rivers (IRs). We identified 28 taxa: 9 in MB, 5 in 2 saline ALs, 9 in 1 freshwater AL, and 15 in IRs. The mean density of 4 types of water bodies were 455.8, 1562.7, 741.3, and 331.2 ind./m2, respectively. Biomass of these 4 different water bodies were 1.18, 3.70, 2.75, and 4.53 g/m2 respectively. Chiroinomus salinarius was the major species (83.32%of the total abundance) in MB. The general spatial distribution pattern was supported by the Surfer Model, indicating that the highest value of macrozoobenthos abundance and biomass occurred in the southeast littoral zone of MB, especially in the sites near estuaries of IRs (e.g., Buha, Caiji and Quanji Rivers), and that the lowest value was in the profundal zone of MB. The CCA analysis showed that pH, water depth, total nitrogen, and salinity were the key environmental factors to affect macrozoobenthos community variance.