Modeling production and decay of coarse woody debris in loblolly pine plantations

Radtke, Philip J.; Amateis, Ralph L.; Prisley, Stephen P.; Copenheaver, Carolyn A.; Chojnacky, David C.; Pittman, Judd R.; Burkhart, Harold E.

doi:10.1016/j.foreco.2008.10.001

Cited by 43 publications

(31 citation statements)

References 45 publications

(48 reference statements)

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“…These factors form the basis for most predictive forest wood decay models (Müller-Using and Bartsch 2009; Radtke et al 2009;Yin 1999;Zell et al 2009). These large-scale models do not account for the variation in wood decay rates at smaller temporal and spatial scales (Onega and Eickmeier 1991;Palviainen et al 2010;Van der Wal et al 2007;Woodall 2010).…”

Section: Future Samplingmentioning

confidence: 99%

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Cornelissen¹,

Sass‐Klaassen

Poorter

et al. 2012

AMBIO

121

150

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Dead wood provides a huge terrestrial carbon stock and a habitat to wide-ranging organisms during its decay. Our brief review highlights that, in order to understand environmental change impacts on these functions, we need to quantify the contributions of different interacting biotic and abiotic drivers to wood decomposition. LOG-LIFE is a new long-term 'common-garden' experiment to disentangle the effects of species' wood traits and siterelated environmental drivers on wood decomposition dynamics and its associated diversity of microbial and invertebrate communities. This experiment is firmly rooted in pioneering experiments under the directorship of Terry Callaghan at Abisko Research Station, Sweden. LOGLIFE features two contrasting forest sites in the Netherlands, each hosting a similar set of coarse logs and branches of 10 tree species. LOGLIFE welcomes other researchers to test further questions concerning coarse wood decay that will also help to optimise forest management in view of carbon sequestration and biodiversity conservation.

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Section: Future Samplingmentioning

confidence: 99%

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Cornelissen¹,

Sass‐Klaassen

Poorter

et al. 2012

AMBIO

121

150

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“…Forest floor biomass accumulation (B F ; Mg·ha −1 ) was determined as in Gonzalez-Benecke et al [24] as the sum of yearly litterfall inputs corrected for decay loss using an equation to estimate decay rate of the forest floor [25]. This equation used site coordinates (latitude and longitude, in decimal units) as inputs to estimate decay rate and was in good agreement with decay rates reported for southern pines in the southeastern U.S. [26][27][28].…”

Section: Modelsmentioning

confidence: 99%

“…For each literature value, the reported initial stand characteristics such as planting density, SI and management activities (site preparation, weed control, fertilization and thinning) were used as model inputs. Loblolly pine's T C , AG C and BG C were validated in two ways, depending on the availability of information: (i) whole-model validation, using reports that included planting density, SI and management activities [25,[41][42][43][44][45][46][47][48]; or (ii) allometry validation, using reports where SI was not reported [27,[49][50][51][52][53]. The former enabled us to run the model from planting year to age when biomass was determined.…”

Section: Model Validationmentioning

confidence: 99%

A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

Gonzalez‐Benecke

Martin

Jokela

et al. 2011

Forests

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Abstract:In this study we analyzed the effects of silvicultural treatments on carbon (C) budgets in Pinus taeda L. (loblolly pine) plantations in the southeastern United States. We developed a hybrid model that integrated a widely used growth and yield model for loblolly pine with published allometric and biometric equations to simulate in situ C pools. The model used current values of forest product conversion efficiencies and forest product decay rates to calculate ex situ C pools. Using the model to evaluate the effects of silvicultural management systems on C sequestration over a 200 year simulation period, we concluded that site productivity (site quality), which can be altered by silviculture and genetic improvement, was the major factor controlling stand C density. On low productivity sites, average net C stocks were about 35% lower than in stands with the default average site quality; in contrast, on high quality sites, C stocks were about 38% greater than average productivity stands. If woody products were incorporated into the accounting, thinning was C positive because of the larger positive effects on ex situ C storage, rather than smaller reductions on in situ C storage. The use of biological rotation age (18 years) was not suitable for C sequestration, and extended rotation ages were found to increase stand C stock density. Stands with an 18-year-rotation length had 7% lower net C density than stands with a 22-year-rotation length; stands with a 35-year-rotation length had only 4% more C than stands harvested at age 22 years. The C sequestered in woody products was an important pool of C storage, accounting for ~34% of the average net C stock. Changes in decomposition rate, associated with possible environmental changes OPEN ACCESSForests 2011, 2 750 resulting from global climate change, affected C storage capacity of the forest. When decay rate was reduced to 10% or increased to 20%, the C stock in the dead pool (forest floor and coarse woody debris) was reduced about 11.8 MgC·ha −1 or increased about 13.3 MgC·ha −1 , respectively, compared to the average decay rate of 15%. The C emissions due to silvicultural and harvest activities were small (~1.6% of the gross C stock) compared to the magnitude of total stand C stock. The C model, based on empirical and biological relationships, appears appropriate for use in regional C stock assessments for loblolly pine plantation ecosystems in the southern U.S.

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“…Forest management can have a large impact on the production and yield of CWD in terrestrial ecosystems (Debeljak 2006;Radtke et al 2009). The amount of CWD (22.01 m 3 .ha -1 ) in the unmanaged stands of this study was lower than that found in studies such as those of Habashi (1998) or Sefidi and MarvieMohadjer (2010), and was higher than that found by Zolfaghari (2005), in Caspian forest sites.…”

Section: Resultsmentioning

confidence: 99%

“…The quantity and quality of CWD are fundamental characteristics for increasing our knowledge of natural forest stand dynamics (Motta et al 2006). Forest management can have large impacts on the production and yield of CWD in terrestrial ecosystems (Debeljak 2006;Radtke et al 2009), especially in forest ecosystems (Jenkins et al 2004). This study compares the amount of CWD in managed and unmanaged forest ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Effects of Management on the Amount and Characteristics of Woody Debris in Mixed Stands of Caspian Forests

Behjou¹,

Mollabashi²,

Amirahmadi³

2014

BioResources

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Woody debris (WD), including coarse woody debris (CWD) and fine woody debris (FWD), is an essential structural and functional component of forest ecosystems. This study was carried out in Caspian hardwood forest sites. In this study, the volume and composition of WD were inventoried by line intersect sampling and fixed area plot sampling in unmanaged and managed forests on 6 compartments (3 managed and 3 unmanaged).Estimates of the total volume of WD in managed and unmanaged forests ranged from 11.9 m 3 .ha -1 to 25.82 m 3 .ha -1 , respectively. The results of independent t tests indicated that the amount of CWD in the unmanaged forests was significantly higher than CWD in the managed ones (t22, 0.05 = 2.64, P = 0.015). Also, the results of independent t tests indicated that the amount of FWD in the managed forests was significantly higher than FWD in unmanaged forests (t4, 0.05 = 5.07, P = 0.007). In the unmanaged forests, WD in decay classes 3, 4, and 5 accounted for 77% of the total WD volume, but in the managed forests, WD in decay classes 1 and 2 accounted for 87% of the total WD volume. The results suggest preserving the current unmanaged forests (protected forests) and maintaining the structural and functional integrity of woody debris.

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Modeling production and decay of coarse woody debris in loblolly pine plantations

Cited by 43 publications

References 45 publications

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

Effects of Management on the Amount and Characteristics of Woody Debris in Mixed Stands of Caspian Forests

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