The burning of fossil fuel since 1845 has increased the amount of greenhouse gasses within the atmosphere resulting in global climate change (Townsend et al. 1996). An increased carbon dioxide level from pre-industrial period to the present is thought to contribute 60% of the observed global warming (Grace 2004). Therefore understanding how and where carbon is sequestered is essential for predicting future climatic change and CO2 concentration modeling. Current carbon models do not take area of edge influence (AEI) into consideration which can account for a significant portion of a forested landscape (Mlandenoff et al. 1994). Failing to take the AEI into consideration could cause substantial error at the landscape scale. In this study it was determined that aboveground tree carbon (AGTc) had a depth of edge influence (DEI) of 12 m in both the recent and old inner edge and 5 m for the old outer edge. In addition, down woody debris carbon (DWDc) had a DEI of 22 m for recent and old inner edge and 5 m for the old outer edge. Snag carbon (snagc) had no DEI in any edge; recent inner, old inner, recent outer or old outer. Litter carbon (litterc) had a DEI only in the old inner edge and it extended for 5 m. This study alludes to the possibility of a photosynthetic gradient through the differences in leaf mass per area (LMA) values across an edge to interior gradient. The differences in DWD and the possible photosynthetic gradient could cause substantial error in current landscape level carbon estimates. Understanding how edges effect carbon allocations will improve our ability to predict landscape level carbon storage for developing future management plans.
|School:||The University of Toledo|
|Department:||Arts and Sciences|
|School Location:||United States -- Ohio|
|Source:||MAI 57/05M(E), Masters Abstracts International|
|Keywords:||Carbon, Edge, Forest structure|
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