Polychaete are diverse species of the soft-bottom community, and are often used as indicators in environment monitoring programs. However, the effects of anthropogenic activities and natural environmental variation on...Polychaete are diverse species of the soft-bottom community, and are often used as indicators in environment monitoring programs. However, the effects of anthropogenic activities and natural environmental variation on polychaete assemblage are rarely addressed. The goals of this study are to identify the effects of natural environmental variation and anthropogenic stress on poly- chaete assemblage, and to explore the relationship between the polychaete assemblage structure and anthropogenic stress without considering the natural environmental variation. Based on the data collected from the surveys conducted in the tidal fiat of Jiaozhou Bay, the relationship between polychaete assemblage structure and environmental variables was determined using multivariate statis- tical methods including hierarchical cluster analysis, multidimensional scaling （MDS） and canonical correspondence analysis （CCA）. The results showed that the polychaete assemblage was dominated by two species, Amphictenejaponica and Heteromastusfiliformis, and could be divided into two subgroups characterized by high and low species abundance. CCA illustrated that the natural environ- mental variables including water temperature and the distance from coast had primary effects on the polychaete assemblage structure; while stress of contaminants, such as As and Hg, had the secondary influences; and stress from the aquacultured species, mainly Ruditapes philippinarum, had a limited effect. Colinearity between the natural environmental variables and anthropogenic stress variables caused a critical divergence in the interpretation of CCA results, which highlighted the risk of a lack of information in en- vironment assessment. Glycinde gurjanovae, Sternaspis scutata and Eulalia bilineata may serve as the ＇contamination indicators＇, which need to be confirmed in future studies.展开更多
In this study, the authors carried out the systemic analysis of water quality of Lake Patzcuaro in relationship with the climate change during a period of 85 years. The statistical comparison （medians, ＂t＂ Student ...In this study, the authors carried out the systemic analysis of water quality of Lake Patzcuaro in relationship with the climate change during a period of 85 years. The statistical comparison （medians, ＂t＂ Student test, regressions and correlations） for the precipitation, evaporation, observed temperature, minimum and maximum for the periods 1969-1988 （pre-impact） and 1988-2007 （post-impact） was realized. The ＂t＂ Student test for water quality during the period of 1981-2011, as well as, the regression analysis and multiple linear correlation of water quality from 2006 to 2011 were applied in joint way of the Cluster and Principal Component to observe the effects of climate change on water quality and vulnerability of Lake Patzcuaro. The comparative analysis of the meteorological data for 1921-1960 and 1973-2007 by the KOppen classification showed a climate change. The comparative Box Plots diagrams for 1973-1989 and 1989-2007, as well as, the ＂t＂ Student test, linear regression and correlation indicated significant changes in time for precipitation, evaporation, observed temperature, minimum and maximum （P ≤ 0.05）. The correlation and regression analysis indicated significant positive trends for turbidity, conductivity, total phosphorus, aluminum, oils and grease, in contrast with Secchi disk depth, transparency, Redox potential and dissolved oxygen concentration. The ＂t＂ Student test showed significant differences between 1981 and 2011 for transparency, hardness, alkalinity, conductivity, nitrite, and phosphate. Cluster and Principal Components of the physicochemical and biological of 2006-2011 confirmed the vulnerability of the system by human growth and climate change influence.展开更多
基金financially supported by the Public Science and Technology Research Funds Projects of Ocean(Nos.201305030,200805066)
文摘Polychaete are diverse species of the soft-bottom community, and are often used as indicators in environment monitoring programs. However, the effects of anthropogenic activities and natural environmental variation on polychaete assemblage are rarely addressed. The goals of this study are to identify the effects of natural environmental variation and anthropogenic stress on poly- chaete assemblage, and to explore the relationship between the polychaete assemblage structure and anthropogenic stress without considering the natural environmental variation. Based on the data collected from the surveys conducted in the tidal fiat of Jiaozhou Bay, the relationship between polychaete assemblage structure and environmental variables was determined using multivariate statis- tical methods including hierarchical cluster analysis, multidimensional scaling （MDS） and canonical correspondence analysis （CCA）. The results showed that the polychaete assemblage was dominated by two species, Amphictenejaponica and Heteromastusfiliformis, and could be divided into two subgroups characterized by high and low species abundance. CCA illustrated that the natural environ- mental variables including water temperature and the distance from coast had primary effects on the polychaete assemblage structure; while stress of contaminants, such as As and Hg, had the secondary influences; and stress from the aquacultured species, mainly Ruditapes philippinarum, had a limited effect. Colinearity between the natural environmental variables and anthropogenic stress variables caused a critical divergence in the interpretation of CCA results, which highlighted the risk of a lack of information in en- vironment assessment. Glycinde gurjanovae, Sternaspis scutata and Eulalia bilineata may serve as the ＇contamination indicators＇, which need to be confirmed in future studies.
文摘In this study, the authors carried out the systemic analysis of water quality of Lake Patzcuaro in relationship with the climate change during a period of 85 years. The statistical comparison （medians, ＂t＂ Student test, regressions and correlations） for the precipitation, evaporation, observed temperature, minimum and maximum for the periods 1969-1988 （pre-impact） and 1988-2007 （post-impact） was realized. The ＂t＂ Student test for water quality during the period of 1981-2011, as well as, the regression analysis and multiple linear correlation of water quality from 2006 to 2011 were applied in joint way of the Cluster and Principal Component to observe the effects of climate change on water quality and vulnerability of Lake Patzcuaro. The comparative analysis of the meteorological data for 1921-1960 and 1973-2007 by the KOppen classification showed a climate change. The comparative Box Plots diagrams for 1973-1989 and 1989-2007, as well as, the ＂t＂ Student test, linear regression and correlation indicated significant changes in time for precipitation, evaporation, observed temperature, minimum and maximum （P ≤ 0.05）. The correlation and regression analysis indicated significant positive trends for turbidity, conductivity, total phosphorus, aluminum, oils and grease, in contrast with Secchi disk depth, transparency, Redox potential and dissolved oxygen concentration. The ＂t＂ Student test showed significant differences between 1981 and 2011 for transparency, hardness, alkalinity, conductivity, nitrite, and phosphate. Cluster and Principal Components of the physicochemical and biological of 2006-2011 confirmed the vulnerability of the system by human growth and climate change influence.
