4.7 Article

Predicting anoxia in low-nutrient temperate lakes

期刊

ECOLOGICAL APPLICATIONS
卷 31, 期 6, 页码 -

出版社

WILEY
DOI: 10.1002/eap.2361

关键词

dissolved organic carbon; dissolved oxygen; lake anoxia; morphometry; north temperate lakes; phosphorus; stratification

资金

  1. NSF [CBET 1743082]
  2. Maine Department of Environmental Protection (DEP)

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The absence of dissolved oxygen in the hypolimnion of lakes can eliminate habitat for sensitive species and release sediment-bound phosphorus. Factors such as basin morphometry and lake stratification dynamics play a crucial role in predicting the likelihood of hypolimnetic anoxia, and including total phosphorus as a variable can help refine predictive models. Our results suggest that lake morphometry and stratification dynamics are key factors in the development of anoxic extent in low-nutrient temperate lakes, providing valuable insights for ecosystem studies.
Absence of dissolved oxygen (anoxia) in the hypolimnion of lakes can eliminate habitat for sensitive species and may induce the release of sediment-bound phosphorus. Lake anoxia generally results from decomposition of organic matter, which is exacerbated by high nutrient loads. Total phosphorus (TP) in lakes is regulated by static aspects of the lake's watershed, but lake TP can be readily increased by human activities. In some low-nutrient lakes, basin morphometry may induce naturally occurring anoxia. The occurrence of natural anoxia is especially important to consider in lake water quality assessments that compare observed conditions to expected reference conditions. To investigate the occurrence of natural vs. anthropogenically influenced anoxia, we constructed a logistic regression model to calculate the probability of low-nutrient lakes (TP < 15 mu g/L) developing aerial anoxic extent >= 10% by testing the predictive potential of variables related to basin morphometry, depths of lake thermal strata, epilimnetic TP, and dissolved organic carbon (DOC). Maximum lake depth and the proportion of lake area under the top of the metalimnion were the most important variables to predict the likelihood of hypolimnetic anoxia, which correctly predicted anoxic condition in 84% of lakes (Model 1). Adding TP as a third variable to Model 1 produced a significantly improved model (Model 2) but the prediction success rate was comparable (86%). We also present a model for lakes with limited bathymetric data, which predicts anoxia with 81% accuracy based on maximum lake depth and mean thermocline depth at peak stratification. DOC was relatively low (4.3 +/- 1.5 mg/L [mean +/- SD]) in the study lakes and its inclusion did not improve model performance. In Model 1, lakes with an anoxic extent >= 10% of lake area had significantly higher epilimnetic TP than lakes with oxic hypolimnia, regardless of prediction category or success. Our results indicate that including TP as a variable helps refine models based on morphometry alone, but lake morphometry and stratification dynamics are the most important factors in the development of anoxic extent in low-nutrient temperate lakes. Our approach informs studies concerned with identifying key factors that influence regime shifts in a variety of ecosystems.

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