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Environmental controls on carbon dioxide flux from black spruce coarse woody debris. | LitMetric

Environmental controls on carbon dioxide flux from black spruce coarse woody debris.

Oecologia

Department of Forest Ecology and Management, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI, 53706, USA.

Published: August 2002

Carbon dioxide flux from coarse woody debris (CWD) is an important source of CO in forests with moderate to large amounts of CWD. A process-based understanding of environmental controls on CWD CO flux (R ) is needed to accurately model carbon exchange between forests and the atmosphere. The objectives of this study were to: (1) use a laboratory incubation factorial experiment to quantify the effect of temperature (T ), water content (W ), decay status, and their interactions on R for black spruce [Picea mariana (Mill.) BSP] CWD; (2) measure and model spatial and temporal dynamics in T for a boreal black spruce fire chronosequence; and (3) validate the R model with field measurements, and quantify potential errors in estimating annual R from this model on various time steps. The R was positively correlated to T (R =0.37, P<0.001) and W (R =0.18, P<0.001), and an empirical R polynomial model that included T and W interactions explained 74% of the observed variation of R . The R estimates from the R model excellently matched the field measurements. Decay status of CWD significantly (P<0.001) affected R . The temperature coefficient (Q ) averaged 2.5, but varied by 141% across the 5-42°C temperature range, illustrating the potential shortcomings of using a constant Q . The CWD temperature was positively correlated to air temperature (R =0.79, P<0.001), with a hysteresis effect that was correlated to CWD decay status and stand leaf area index . Ignoring this temperature hysteresis introduced errors of -1% to +32% in annual R estimates. Increasing T modeling time step from hourly to daily or monthly introduced a 5-11% underestimate in annual R . The annual R values in this study were more than two-fold greater than those in a previous study, illustrating the need to incorporate spatial and temporal responses of R to temperature and water content into models for long-term R estimation in boreal forest ecosystems.

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http://dx.doi.org/10.1007/s00442-002-0987-4DOI Listing

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