There is a newer version of the record available.

Published April 22, 2024 | Version v1.2
Software Open

Data from: Human activities shape global patterns of decomposition rates in rivers

  • 1. Kent State University
  • 2. University of Georgia
  • 3. William & Mary Virginia Institute of Marine Science
  • 4. ROR icon University of Utah
  • 5. Evergreen State College
  • 6. ROR icon Oakland University

Description

Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable, and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose-decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose-decomposition rates, when combined with genus-level litter-quality attributes, explain published leaf-litter-decomposition rates with impressive accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth, and reveals rapid decomposition across continental-scale areas dominated by human activities.

v1.0 first data release includes all code for models, analyses, and figures.

v1.1 addition of code for a new supplemental figure (Figure S1)

v1.2 includes new color schemes for all figures, and new title

Files

dmcostello/CELLDEX_geospatial-v1.2.zip

Files (2.4 MB)

Name Size Download all
md5:690cf34436afc03ad891ea13bfbe9395
2.4 MB Preview Download

Additional details

Related works

Software

Programming language
R