Interannual fluctuations in primary production: Meteorological forcing at two subalpine lakes

Meteorological factors are associated with most of the interannual variability in primary production at both Castle Lake, California (4 l”N, 122%‘) and Lake Tahoe, California-Nevada (39”N, 12O”W). At Castle Lake, extreme values of annual primary production, either much higher or lower than the long-term average, are likely to occur during the phenomenon of El Nifio/Southern Oscillation. Two plausible pathways for the impacts of these large-scale climate events at Castle Lake were identified: winter snowfall, acting through its effect on the snow-ice pack and timing of the spring thaw; and total precipitation, acting through its effect on outwash rates. In contrast, no influence of large-scale climate events is apparent at Lake Tahoe, but a plausible pathway involving the impact of synoptic-scale phenomena on interannual variation was identified: local weather events occurring in the late winter-early spring period near the time of minima1 stratification, acting through their cl&t on the depth of spring mixing. The difference between the two lakes can be attributed to absence of an ice cover and long hydraulic retention time at Lake Tahoe. Timeseries models that incorporate meteorological information adequately forecast primary production at both lakes.

[1]  C. Goldman,et al.  Climatic Forcing: Effects of El Ni�o on a Small, Temperate Lake , 1985, Science.

[2]  W. Schaffer Order and Chaos in Ecological Systems , 1985 .

[3]  D. G. Watts,et al.  Spectral analysis and its applications , 1968 .

[4]  R. Axler,et al.  The Importance of Regenerated Nitrogen to Phytoplankton Productivity to Phytoplankton Productivity in a Subalpine Lake , 1981 .

[5]  F. Chavez,et al.  Biological Consequences of El Ni�o , 1983, Science.

[6]  D. Cochrane,et al.  Application of Least Squares Regression to Relationships Containing Auto-Correlated Error Terms , 1949 .

[7]  John H. Steele,et al.  A comparison of terrestrial and marine ecological systems , 1985, Nature.

[8]  C. Chatfield The Analysis of Time Series: An Introduction , 1990 .

[9]  R. L. Leonard,et al.  Seasonal nitrate cycling as evidence for complete vertical mixing in Lake Tahoe, California‐Nevada1 , 1975 .

[10]  Alexis Lawrence Romanoff,et al.  Influence of temperature , 1938 .

[11]  K. Mann,et al.  AN ANALYSIS OF FACTORS GOVERNING PRODUCTIVITY IN LAKES AND RESERVOIRS1 , 1973 .

[12]  D. Halpern,et al.  Satellite Color Observations of the Phytoplankton Distribution in the Eastern Equatorial Pacific During the 1982-1983. El Ni�o , 1984, Science.

[13]  Stephen R. Carpenter,et al.  Complex Interactions in Lake Communities , 2011, Springer New York.

[14]  R. Paine Food Web Complexity and Species Diversity , 1966, The American Naturalist.

[15]  W. W. Muir,et al.  Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .

[16]  Chris Chatfield,et al.  The Analysis of Time Series , 1990 .

[17]  J. Talling The underwater light climate as a controlling factor in the production ecology of freshwater phytoplankton: With 14 figures in the text and on 1 folder , 1971 .

[18]  W. H. Quinn,et al.  HISTORICAL TRENDS AND STATISTICS OF THE SOUTHERN OSCILLATION, EL NINO, AND INDONESIAN DROUGHTS , 1978 .

[19]  C. D. Beaumont,et al.  Regression Diagnostics — Identifying Influential Data and Sources of Collinearity , 1981 .

[20]  Beat Kleiner,et al.  Graphical Methods for Data Analysis , 1983 .

[21]  S. Carpenter,et al.  Plankton Community Structure and Limnetic Primary Production , 1984, The American Naturalist.

[22]  P. A. Blight The Analysis of Time Series: An Introduction , 1991 .

[23]  J. Beardall Phytoplankton ecology: structure, function and fluctuations , 1987 .

[24]  Michael D. Geurts,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[25]  John T. Lehman,et al.  The effect of changes in the nutrient income on the condition of Lake Washington1 , 1981 .

[26]  G. Fahnenstiel,et al.  Influence of Salmonine Predation and Weather on Long-Term Water Quality Trends in Lake Michigan , 1986 .

[27]  R. A. Ragotzkie Heat Budgets of Lakes , 1978 .

[28]  Stephen R. Carpenter,et al.  Cascading Trophic Interactions and Lake Productivity , 1985 .

[29]  L. Myrup,et al.  Climatological estimate of the average monthly energy and water budgets of Lake Tahoe California‐Nevada , 1979 .

[30]  P. Baccini,et al.  Man-Made Chemical Perturbation of Lakes , 1978 .

[31]  S. Carpenter,et al.  Regulation of Lake Primary Productivity by Food Web Structure. , 1987, Ecology.

[32]  D. Rubinfeld,et al.  Econometric models and economic forecasts , 2002 .

[33]  David W. Schindler,et al.  Factors regulating phytoplankton production and standing crop in the world's freshwaters , 1978 .

[34]  M. Clady Influence of Temperature and Wind on the Survival of Early Stages of Yellow Perch, Perca flavescens , 1976 .

[35]  Box Ge,et al.  Time series analysis: forecasting and control rev. ed. , 1976 .

[36]  G. Harris Phytoplankton Ecology: Structure, Function and Fluctuation , 1986 .