Published February 21, 2024 | Version v2.0
Software Open

Source code for: CELLDEX geospatial decomposition predictor

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


CELLulose Decomposition EXperiment (CELLDEX) geospatial tool for predicting cotton and litter decomposition in stream ecosystems. This Shiny app was developed to allow users to predict cellulose and leaf litter decay rates in streams across the globe. The predictive model is build from boosted regression trees (BRT) that predict cotton decay rates from watershed variables provided by HydroSHEDS. The model results are validate by natural litter bag decay rates using cotton and genus-level litter traits.

v2.0 notes: Code release at the time of migration to new server and submission of publication. Slight update to the model predictions and user interface. Now can access the Shiny map on Kent State Biology Shiny Server



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