Abstract Detail



Ecology

Oberle, Brad [1], Lee, Marissa [2], Myers, Jonathan [3], Osazuwa-Peters, Oyomoare [4], Spasojevic, Marko [5], Walton, Maranda [6], Young, Darcy [7], Zanne, Amy [8].

Accurate forest ecosystem projections from empirical decay models require long-term experiments.

Empirical wood decay models inform projections for how forest carbon balance may respond to climate change. However, complete wood mineralization takes much longer than typical experiments.  Consequently, scaling up from short-term results to long term dynamics has assumed that decay rates—and drivers which control them—remain consistent through time.  On the contrary, we demonstrate how short-term decay experiments can misrepresent ecosystem processes by exaggerating effects of drivers that fade with time.  During a seven-year experiment involving for 21 woody species in contrasting habitats, initial wood trait effects weakened or changed the shape of the decay function as samples approached complete mineralization.  Only a time-varying decay model informed by a long-term data produced accurate predictions of deadwood structure in a forest dynamics plot. Our results complement research on spatial scale in experimental ecosystem ecology by illustrating how temporal scale connects experimental results to related ecosystem processes.


1 - New College Of Florida, Natural Sciences, 5800 Bay Shore Rd., Sarasota, FL, 34243, United States
2 - North Carolina State University, Plant and Microbial Biology, Campus Box 7612, Raleigh, NC, 27695, USA
3 - Department Of Biology And Tyson Research Center, Campus Box 1137, One Brookings Drive, St. Louis, 63130, United States
4 - Washington University in St. Louis, Biostatistics, 660 S. Euclid Ave, CB8067, St. Louis, MO, 63110, USA
5 - Department Of Ecology And Evolutionary Biology, 321 Steinhaus Hall, Irvine, CA, 92617, United States
6 - Washington University in St. Louis, Biology, 1 Brookings Drive, Campus Box 1137, St. Louis, MO, 63110, United States
7 - George Washington University, Biological Sciences, 800 22nd St. NW, Washington, DC, 20052, USA
8 - George Washington University, Biological Sciences, Science And Engineering Hall, 800 22nd Street NW, Suite 6000, Washington, DC, 20052, United States

Keywords:
Wood decay
Carbon cycling
Forest
Bayesian.

Presentation Type: Oral Paper
Number: 0011
Abstract ID:414
Candidate for Awards:None


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