Welcome to the 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.
Click anywhere on the Interactive Map to see point estimates of cotton decay rates. If you select the Leaf litter radio button, you can pick a litter genus and experimental condition to predict litter bag decay rates.
Use the tools on the map to select an area of interest. Then click the Shape output tab to see summary statistics and a kernel density plot of cotton decay in the selected area. Select a leaf litter genus to see estimated decay for natural litter in the selected area.
Costello DM, JP Schmidt, KA Capps, CJ Patrick, and SD Tiegs. 2023. CELLDEX Geospatial Decomposition Predictor. DOI: 10.5281/zenodo.8008082
Tiegs et al. 2019 Global patterns and drivers of ecosystem functioning in rivers and riparian zones. Science Advances pdf
Costello et al. 2022 Global patterns and controls of nutrient immobilization on decomposing cellulose in riverine ecosystems. Global Biogeochemical Cycles pdf
Tiegs et al. 2013 A standardized cotton-strip assay for measuring organic-matter decomposition in streams. Ecological Indicators pdf
CELLDEX Geospatial model GitHub
CELLDEX cotton decomposition data GitHub
Follstad Shah et al. 2017 Global synthesis of the temperature sensitivity of leaf litter breakdown in streams and rivers. Global Change Biology pdf
LeRoy et al. 2020 Plant phylogenetic history explains in‐stream decomposition at a global scale. Journal of Ecology pdf