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作 者:邱礼城 何琦[1] 刘静[1] 韦桂峰[1] 李湘姣[2] 史栾生
机构地区:[1]暨南大学生态学系,热带亚热带水生态工程教育部工程研究中心,广州510632 [2]广东省水文局,广州510150
出 处:《生态科学》2017年第4期73-80,共8页Ecological Science
基 金:广东省水利科技创新项目(2014-01)资助
摘 要:底栖硅藻是河流生态监测常用的生物监测指标,为了解底栖硅藻中的菱形藻属(Nitzschia)分布格局及其对环境的指示作用,于2010年5月、9月和2011年1月对广东省增江的21个采样点进行底栖硅藻采样调查和监测,分析了底栖硅藻中菱形藻属的分布特征及群落结构与环境因子的关系。三次采样中共检出菱形藻属26种,其多样性(丰富度和真辛普森多样性指数)随河流等级呈先升高后下降的空间分布特征。3种优势种(克劳斯菱形藻、谷皮菱形藻和亚针尖菱形藻)相对丰度的时空分布存在差异:如克劳斯菱形藻的相对丰度在下游较高,而亚针尖菱形藻在中游较高;2011年1月采样中的谷皮菱形藻相对丰度明显低于2010年5月和9月。逐步回归表明,环境因子对菱形藻属相对丰度变化的解释率较高,三个次采样季节的解释率(Adjusted R^2)在60%左右。2010年9月和2011年1月两次采样的冗余分析中,环境因子均能显著解释菱形藻属群落的变异,解释量分别为43.7%和37.9%。多元方差分析表明,菱形藻属群落结构空间变化明显,季节变化显著。To understand the distribution pattern of Nitzschia and its indication to environmental variables, benthic diatoms in Zeng River(Guangdong province) were investigated in May and September, 2010, and January 2011. Tempo-spatial distribution of Nitzschia and relationship between Nitzschia assemblage and environmental variables were analyzed by multivariate methods. In total, 26 Nitzschia species were identified from the twenty one locations over three sampling periods. Diatom diversity indexes of Nitzschia, such as richness and true Simpson diversity index, showed a clear spatial pattern along with river classes. The relative abundance of three dominant species(N. clausii, N. palea and N. subacicularis) showed certain temporal and spatial distribution: the relative abundance of N. clausii was higher at downstream, while N. subacicularis was higher at midstream; the relative abundance of N. palea in January 2011 was lower than those in May and September 2010. Multiple regression analysis showed that environmental variables significantly explained the variation of Nitzschia relative abundance. Redundancy analysis demonstrated that environment variables significantly explained the spatial variation of Nitzschia assemblage with adjusted R^2 of 43.7% and 37.9% in September 2010 and January 2011, respectively. Structure of Nitzschia assemblage showed clear temporal and spatial patterns by Two-Way PERMANOVA analysis for sampling period and river class.
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