Controls on Lake Pelagic Primary Productivity: Formalizing the Nutrient‐Color Paradigm

作者：Isabella A. Oleksy, Christopher T. Solomon, Stuart E. Jones, Carly R. Olson, Brittni L. Bertolet, Rita Adrian, Sheel Bansal, Jill S. Baron, Soren Brothers, Sudeep Chandra, Hsiu‐Mei Chou, William Colom, Joshua Culpepper, Elvira de Eyto, Matthew J. Farragher, Sabine Hilt, Kristen T. Holeck, Garabet Kazanjian, Marcus Klaus, Jennifer L. Klug, Jan Köhler, Alo Laas, Erik Lundin, Alice H. Parkes, Kevin C. Rose, Lars G. Rudstam, James A. Rusak, Facundo Scordo, Michael J. Vanni, Piet Verburg, Gesa A. Weyhenmeyer · 发表于：Journal of Geophysical Research Biogeosciences · 年份：2024 · DOI：10.1029/2024jg008140 · 被引用次数：7 · 研究领域：Water Quality and Pollution Assessment、Food Industry and Aquatic Biology、Isotope Analysis in Ecology

Abstract Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. In lakes, pelagic gross primary productivity (GPP) is strongly controlled by inputs of nutrients and dissolved organic matter. Although past studies have developed process models of this nutrient‐color paradigm (NCP), broad empirical tests of these models are scarce. We used data from 58 globally distributed, mostly temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. The model includes three state variables–dissolved phosphorus, terrestrial dissolved organic carbon (DOC), and phytoplankton biomass–and generates realistic predictions for equilibrium rates of pelagic GPP. We calibrated our model using a Bayesian data assimilation technique on a subset of lakes where DOC and total phosphorus (TP) loads were known. We then asked how well the calibrated model performed with a larger set of lakes. Revised parameter estimates from the updated model aligned well with existing literature values. Observed GPP varied nonlinearly with both inflow DOC and TP concentrations in a manner consistent with increasing light limitation as DOC inputs increased and decreasing nutrient limitation as TP inputs increased. Furthermore, across these diverse lake ecosystems, model predictions of GPP were highly correlated with observed values derived from high‐frequency sensor data. The GPP predict...