JOURNAL ARTICLE

Phytoplankton group-specific and community responses to co-limiting nutrients in a managed reservoir: Lake Murray, South Carolina.

  • Published In: Journal of Plankton Research, 2025, v. 47, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Durbin, Haley; Cain, Ainsley; Madgett, Gavin; Knotts, Eilea; Pinckney, James 3 of 3

Abstract

This article focuses on the effects of nitrate (N as NO₃⁻) and phosphate (P as PO₄³⁻) additions on phytoplankton community composition in Lake Murray, a temperate reservoir in South Carolina. Using high-performance liquid chromatography and ChemTax analysis from 2021 to 2023, the study found that green algae, diatoms, and cryptophytes dominated the phytoplankton community, with cyanobacteria comprising a smaller portion. Monthly bioassays in 2023 revealed that all phytoplankton groups except cyanobacteria were co-limited by nitrogen and phosphorus, with nitrogen as the primary limiting nutrient, while cyanobacteria were primarily phosphorus-limited. Nutrient additions of both N and P together caused significant shifts in community structure, notably promoting green algae growth, suggesting that simultaneous increases in nitrogen and phosphorus loading may drive major changes in lake phytoplankton composition, whereas increased phosphorus relative to nitrogen may favor cyanobacterial growth. These findings highlight the importance of managing both nitrogen and phosphorus inputs to mitigate harmful algal blooms and maintain water quality in freshwater lake systems.

Additional Information

  • Source:Journal of Plankton Research. 2025/03, Vol. 47, Issue 2, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2025
  • ISSN:0142-7873
  • DOI:10.1093/plankt/fbaf003
  • Accession Number:184296608
  • Copyright Statement:Copyright of Journal of Plankton Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.