Title: Data from: Predicting peatland carbon fluxes from non-destructive plant traits
Citation: Goud, Ellie M.; Moore, Tim R.; Roulet, Nigel T. (2018). Data from: Predicting peatland carbon fluxes from non-destructive plant traits [Dataset]. Dryad. https://doi.org/10.5061/dryad.m6n56
Study Site: Ontario, Canada
Purpose: Determining the plant traits that best predict carbon (C) storage is increasingly important as global change drivers will affect plant species composition and ecosystem C cycling. Despite the critical role of peatlands in the global C cycle, trait-flux relationships in peatlands are relatively unknown.
Abstract: We assessed the ability of four non-destructive plant traits to predict carbon dioxide (CO2) and methane (CH4) fluxes over two growing seasons in a temperate peatland in Ontario, Canada. We examined relationships between C-fluxes and leaf area, leaf persistence (deciduous, evergreen), growth form (woody, herbaceous), and aerenchyma tissue. To explore potential inconsistencies between different scales of data aggregation, traits were analysed at the level of plots, species and microsites.
Supplemental Information Summary:
Research:
Further Info: Goud, Ellie M.; Moore, Tim R.; Roulet, Nigel T. (2017), Predicting peatland carbon fluxes from non-destructive plant traits, Functional Ecology, Article-journal, https://doi.org/10.1111/1365-2435.12891
Status: Complete
Keywords:
methane,
vegetation,
carbon dioxide,
Geographical coordinates: North: 83.15, South: 41.909 East: -52.619 West: -141.010
Bounding Temporal Extent: Start Date: 2012-05-01, End
Date: 2013-10-31
