Published August 9, 2021 | Version v1
Dataset Open

Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing

  • 1. Cornell University
  • 2. University of Maine at Farmington
  • 3. Rhodes College
  • 4. Ducks Unlimited Canada*
  • 5. St. Olaf College
  • 6. The Ohio State University
  • 7. United States Geological Survey
  • 8. University of Florida

Description

Lakes process both terrestrial and aquatic organic matter, and the relative contribution from each source is often measured via ecosystem metabolism and terrestrial resource use in the food web (i.e., consumer allochthony). Yet, ecosystem metabolism and consumer allochthony are rarely considered together, despite possible interactions and potential for them to respond to the same lake characteristics. In this study, we compiled global datasets of lake gross primary production (GPP), ecosystem respiration (ER), and zooplankton allochthony to compare the strength and shape of relationships with physicochemical characteristics across a broad set of lakes. GPP was positively related to total phosphorus (TP) in lakes with intermediate TP concentrations (11 - 75 μg L-1) and was highest in lakes with intermediate dissolved organic carbon (DOC) concentrations. While ER and GPP were strongly positively correlated, decoupling occurred at high DOC concentrations. Lastly, allochthony had a unimodal relationship with TP and related variably to DOC. By integrating metabolism and allochthony, we identified similar change points in GPP and zooplankton allochthony at intermediate DOC (4.5 - 10 mg L-1) and TP (8 - 20 μg L-1) concentrations, indicating that allochthony and GPP may be coupled and inversely related. The ratio of DOC : nutrients also helped to identify conditions where lake organic matter processing responded more to autochthonous or allochthonous organic matter sources. As lakes globally face eutrophication and browning, predicting how lake organic matter processing will respond requires an updated paradigm that incorporates nonlinear dynamics and interactions.

Notes

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: OCE‐1356192 and OCE‐1925796

Files

allochthony_dataset.csv

Files (48.9 kB)

Name Size Download all
md5:8f05d3c8062e39c407528641647341f1
30.2 kB Preview Download
md5:ee3652bb3aa552036e5cd85a9af2c8a1
2.7 kB Preview Download
md5:e595b5434ae89700b9fd2816ccb54560
16.0 kB Preview Download