Application of multivariate statistics in detecting temporal and spatial patterns of water chemistry in Lake George, New York

Momen, Bahram; Eichler, Lawrence W.; Boylen, Charles W.; Zehr, Jonathan P.

doi:10.1016/0304-3800(95)00189-1

Cited by 38 publications

(30 citation statements)

References 23 publications

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“…Multivariate statistical approach has been widely used in ecological studies and proved useful for understanding interactions between ecological factors in highly complex systems. However, it has been argued that time-series data collected through monitoring programs inherently have characteristics (i.e., autocorrelation between two consecutive data points) that violate the basic assumptions of parametric procedures (Momen et al, 1996). The problem is overcome by the fact that zooplankton are small enough to have rapid life cycles (i.e., less than a month; Lampert, 1997), leading to minimal collinearity.…”

Section: Discussionmentioning

confidence: 99%

Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Zhang

Liu

et al. 2010

Ecological Engineering

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Section: Discussionmentioning

confidence: 99%

Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Zhang

Liu

et al. 2010

Ecological Engineering

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“…Recent techniques have included multivariate statistical analysis to evaluate surface water quality and characterize eutrophication. Momen et al (1996) employed cluster and discriminant analysis to characterize the trophic classification of lakes in New York. Lau and Lane (2002) studied the governing role of nutrients and zooplankton upon phytoplankton variation by applying factor analysis in Barton Broad (UK).…”

Section: Introductionmentioning

confidence: 99%

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Wang

Lü

et al. 2007

Journal of Environmental Sciences

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Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions. However, it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity. To elucidate relationships between them, in a eutrophic shallow lake, Taihu Lake, relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity. The results indicate that water temperature and total phosphorus (TP) played governing roles in phytoplankton dynamics in most seasons (i.e. temperature in winter, spring and summer; TP in spring, summer and autumn); COD (chemical oxygen demand) and BOD (biological oxygen demand) presented significant positive relationships with phytoplankton biomass in spring, summer and autumn. However, a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn, and conversely negative ones in summer. As the predatory factor, zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season. Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were observed between phytoplankton biomass and pH, Trans (transparency of water) and DO. The results indicate that interactions between phytoplankton biomass and related environmental variables are highly sensitive to seasonal periodicity, which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability, and hence, advances management methods for eutrophic lakes.

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“…As yellow perch in the South basin age, their relative weight decreases while North basin relative weight increases with age. These relative weight differences may be caused by the different environmental factors within Lake George including chemical and biological differences [13,[29][30][31][32][33].…”

Section: Discussionmentioning

confidence: 99%

“…Chemical and biological differences have been known between the basins for decades [13,[29][30][31][32][33]. These bio-geochemical dissimilarities are likely contributors of the existing differences found in the yellow perch community.…”

Section: Discussionmentioning

confidence: 99%

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Are the Condition, Growth and Diet of Yellow Perch (Perca flavescens) Different between the Three Major Basins of Lake George, New York?

D'Arco¹,

Farrell²,

Nierzwicki‐Bauer³

et al. 2015

TOFISHSJ

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Gill netting was carried out at 25 sites in Lake George, New York to determine if interbasin differences of yellow perch (Perca flavescens) exist. Fish relative weight, growth and diet were analyzed for 267 yellow perch. Yellow perch are known to be omnivorous in the lake eating zooplankton, benthos and small fishes in both the littoral and pelagic waters. The length-weight relationship exhibited a significant difference amongst the Narrows, North and South basins for condition constants (p < 0.05). Relative weights were consistently found to be below the general target range and had significant differences between the basins. Growth models of fish caught in the three basins showed variation in growth of yellow perch. The yellow perch from the North basin exhibited allometric growth, while those in the South and Narrows displayed isometric growth. The diets of yellow perch between the basins also were found to be different. Previous studies have noted differences between the basins with respect to chlorophyll a, chemistry, and biota. This study provides evidence of differences in the fishery amongst the basins that follow similar, previously defined, differences in chemistry.

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Application of multivariate statistics in detecting temporal and spatial patterns of water chemistry in Lake George, New York

Cited by 38 publications

References 23 publications

Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Are the Condition, Growth and Diet of Yellow Perch (Perca flavescens) Different between the Three Major Basins of Lake George, New York?

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