Data from: Ecosystem context illuminates conflicting roles of plant diversity in carbon storage
Adair, E. Carol, University of Vermont
Hooper, David U., Western Washington University
Paquette, Alain, University of Quebec at Montreal
Hungate, Bruce A., Northern Arizona University
Published Jul 30, 2019 on Dryad.
Cite this dataset
Adair, E. Carol; Hooper, David U.; Paquette, Alain; Hungate, Bruce A. (2019). Data from: Ecosystem context illuminates conflicting roles of plant diversity in carbon storage [Dataset]. Dryad. https://doi.org/10.5061/dryad.4hj00fr
Plant diversity can increase biomass production in plot‐scale studies, but applying these results to ecosystem carbon (C) storage at larger spatial and temporal scales remains problematic. Other ecosystem controls interact with diversity and plant production, and may influence soil pools differently from plant pools. We integrated diversity with the state‐factor framework, which identifies key controls, or ‘state factors’, over ecosystem properties and services such as C storage. We used this framework to assess the effects of diversity, plant traits and state factors (climate, topography, time) on live tree, standing dead, organic horizon and total C in Québec forests. Four patterns emerged: (1) while state factors were usually the most important model predictors, models with both state and biotic factors (mean plant traits and diversity) better predicted C pools; (2) mean plant traits were better predictors than diversity; (3) diversity increased live tree C but reduced organic horizon C; (4) different C pools responded to different traits and diversity metrics. These results suggest that, where ecosystem properties result from multiple processes, no simple relationship may exist with any one organismal factor. Integrating biodiversity into ecosystem ecology and assessing both traits and diversity improves our mechanistic understanding of biotic effects on ecosystems.
Quebec Forest Data for Adair et al Ecology Letters
Forest carbon data with abiotic, biotic, and diversity variables.