Sampling coarse woody debris for multiple attributes in extensive resource inventories

Waddell, Karen L.

doi:10.1016/s1470-160x(01)00012-7

Cited by 141 publications

(156 citation statements)

References 10 publications

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“…The species of each down piece is identified through examination of species-specific bark, branching, bud, and wood composition attributes (excluding decay class five CWD pieces). If a CWD piece is too decomposed to identify its species, a hierarchy of species identification is followed: species, species group, conifer or hardwood, or unknown (for CWD sample protocol details, see Waddell, 2002;Woodall and Monleon, 2008;USDA Forest Service, 2005).…”

Section: Ddw C Inventory Field Methods In the Usmentioning

confidence: 99%

“…The shorter the sample transect or CWD piece the larger the volume that piece represents on a per unit area basis. Estimates of volume were first converted to biomass and then to C using conversion constants (Birdsey, 1992;Waddell, 2002;Woodall and Monleon, 2008). Carbon storage in CWD (C CWD ) (g C ha À1 ) was calculated using Eq.…”

Section: Ddw C Estimation Proceduresmentioning

confidence: 99%

“…Birdsey (1992) provides mean conversion factors (c) for both softwood (0.521) and hardwood species (0.491). Waddell (2002) provides decay reduction factors for various CWD decay stages for reducing the specific gravity of CWD pieces based on the state of decay.…”

Section: Ddw C Estimation Proceduresmentioning

confidence: 99%

“…Little research has been done on defining specific gravity of live tree wood, much less the reduction in specific gravity that occurs as dead wood decays at species-specific rates. In terms of the C conversion constants, little research has been conducted to provide refined constants for estimating DDW stocks for all the hundreds of tree species across the US rather than one constant used for hardwood and softwoods in the US (Waddell, 2002). The accuracy of DDW C estimates may be greatly enhanced through more research on DDW decay reduction factors and C content.…”

Section: Challenges and Opportunities For Improving A National Ddw C mentioning

confidence: 99%

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National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities

Woodall

Heath

Smith

2008

Forest Ecology and Management

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Section: Ddw C Inventory Field Methods In the Usmentioning

confidence: 99%

Section: Ddw C Estimation Proceduresmentioning

confidence: 99%

Section: Ddw C Estimation Proceduresmentioning

confidence: 99%

Section: Challenges and Opportunities For Improving A National Ddw C mentioning

confidence: 99%

See 2 more Smart Citations

National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities

Woodall

Heath

Smith

2008

Forest Ecology and Management

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“…Finally, the planar intercept method (Brown, 1974) uses transects that are placed across the plot of interest and diameters of twigs that intersect the plane are measured. The planar intercept method has been used often because of its relative simplicity (Busing, Rimar, Stolte, Stohlgren, & Waddell, 2000;Waddell, 2001;Lutes et al, 2006). In summary, Keane and Gray (2013) found that the photoload method is the quickest method but the least accurate, underestimating FWF for almost all but the lightest loading (0.05 kg m -2 ).…”

Section: Introductionmentioning

confidence: 99%

Bayesian Techniques for Surface Fuel Loading Estimation

Karpisz

Pedersen²,

Russell

et al. 2015

IJURCA

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This work has undergone a double-blind review by a minimum of two faculty members from institutions of higher learning from around the world. The faculty reviewers have expertise in disciplines closely related to those represented by this work. If possible, the work was also reviewed by undergraduates in collaboration with the faculty reviewers. AbstractIn previous work, researchers compared three sampling techniques for estimating the biomass of surface fine woody fuels by using them on known distributions. An important result was that precise estimates of fuel biomass required intensive sampling for both planar intercept and fixed-area methods. This study explores Bayesian statistical methods as a means to reduce the sampling effort needed to obtain a desired precision. We examined how initial estimates of the minimum and maximum fuel loading at a site could be used as prior information in a Bayesian framework. We found that, under certain scenarios, Bayesian techniques dramatically increased the precision of the estimator compared to using no prior information from the site.

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Modeling respiration from snags and coarse woody debris before and after an invasive gypsy moth disturbance

Renninger

Carlo

Clark

et al. 2014

J. Geophys. Res. Biogeosci.

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Although snags and coarse woody debris are a small component of ecosystem respiration, disturbances can significantly increase the mass and respiration from these carbon (C) pools. The objectives of this study were to (1) measure respiration rates of snags and coarse woody debris throughout the year in a forest previously defoliated by gypsy moths, (2) develop models for dead stem respiration rates, (3) model stand-level respiration rates of dead stems using forest inventory and analysis data sets and environmental variables predisturbance and postdisturbance, and (4) compare total dead stem respiration rates with total ecosystem respiration and net ecosystem exchange. Respiration rates were measured on selected Pinus and Quercus snags and coarse woody debris each month for 1 year in a northeastern U.S. temperate forest. Multiple linear regression using environmental and biometric variables including wood temperature, diameter, density, species, and decay class was used to model respiration rates of dead stems. The mass of snags and coarse woody debris increased more than fivefold after disturbance and respiration rates increased more than threefold. The contribution of dead stems to total ecosystem respiration more than tripled from 0.85% to almost 3% and respiration from dead stems alone was approximately equal to the net ecosystem exchange of the forest in 2011 (fourth year postdisturbance). This study highlights the importance of dead stem C pools and fluxes particularly during disturbance and recovery cycles. With climate change increasing the ranges of many forest pests and pathogens, these data become particularly important for accurately modeling future C cycling.

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Sampling coarse woody debris for multiple attributes in extensive resource inventories

Cited by 141 publications

References 10 publications

National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities

National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities

Bayesian Techniques for Surface Fuel Loading Estimation

Modeling respiration from snags and coarse woody debris before and after an invasive gypsy moth disturbance

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