Estimating down deadwood from FIA forest inventory variables in Maine

Chojnacky, David C.; Heath, Linda S.

doi:10.1016/s0269-7491(01)00243-3

Cited by 30 publications

(19 citation statements)

References 11 publications

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“…The pool of CWD in our analysis varied significantly from year to year depending on the level of disturbance. USDA Forest Service inventory surveys are beginning to measure CWD mass (Chojnacky and Heath, 2002) but there is not as yet enough data to indicate trends.…”

Section: Uncertainty Assessmentmentioning

confidence: 99%

Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States

et al. 2007

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Abstract. Bottom-up scaling of net ecosystem production (NEP) and net biome production (NBP) was used to generate a carbon budget for a large heterogeneous region (the state of Oregon, 2.5×10 5 km 2 ) in the western United States. Landsat resolution (30 m) remote sensing provided the basis for mapping land cover and disturbance history, thus allowing us to account for all major fire and logging events over the last 30 years. For NEP, a 23-year record of distributed meteorology (1 km resolution) at the daily time step was used to drive a process-based carbon cycle model (Biome-BGC). For NBP, fire emissions were computed from remote sensing based estimates of area burned and our mapped biomass estimates. Our estimates for the contribution of logging and crop harvest removals to NBP were from the model simulations and were checked against public records of forest and crop harvesting. The predominately forested ecoregions within our study region had the highest NEP sinks, with ecoregion averages up to 197 gC m −2 yr −1 . Agricultural ecoregions were also NEP sinks, reflecting the imbalance of NPP and decomposition of crop residues. For the period 1996-2000, mean NEP for the study area was 17.0 TgC yr −1 , with strong interannual variation (SD of 10.6). The sum of forest harvest removals, crop removals, and direct fire emissions amounted to 63% of NEP, leaving a mean NBP of 6.1 TgC yr −1 . Carbon sequestration was predominantly on public forestland, where the harvest rate has fallen dramatically in the recent years. Comparison of simulation results with estimates of carbon stocks, and changes in carbon stocks, based on forest inventory data showed generally good agreement. The carbon sequestered as NBP, plus accumulation of forest products in slow turnover pools, offset 51% of the annual emissions of fossil fuel CO 2 for the state. Statelevel NBP dropped below zero in 2002 because of the combination of a dry climate year and a large (200 000 ha) fire.Correspondence to: D. P. Turner (david.turner@oregonstate.edu) These results highlight the strong influence of land management and interannual variation in climate on the terrestrial carbon flux in the temperate zone.

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Section: Uncertainty Assessmentmentioning

confidence: 99%

Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States

et al. 2007

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“…Ranius et al (2004) and Ranius and Kindvall (2004) estimated the amount of dead wood from the growth of living trees, tree mortality rate and CWD decomposition rate, while Chojnacky et al (2004) also used climatic variables. Chojnacky and Heath (2002) observed that the basal area of standing dead trees was a good predictor of the downed dead wood volume. Nevertheless, the accuracy of the models for predicting CWD volume has been rather poor (see Chojnacky andHeath 2002, Chojnacky et al 2004).…”

Section: Cwd Inventoriesmentioning

confidence: 96%

“…Chojnacky and Heath (2002) observed that the basal area of standing dead trees was a good predictor of the downed dead wood volume. Nevertheless, the accuracy of the models for predicting CWD volume has been rather poor (see Chojnacky andHeath 2002, Chojnacky et al 2004). National dead wood carbon stocks in the USA were previously estimated on the basis of living tree characteristics calibrated by reference to preliminary field estimates, but nowadays field inventory-based estimates are used (Woodall et al 2008).…”

Section: Cwd Inventoriesmentioning

confidence: 96%

Comparison of field inventory methods and use of airborne laser scanning for assessing coarse woody debris

Pesonen¹

2011

Diss. For.

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“…Two general approaches have been used for modelling deadwood: an inventory-based, statistical approach that estimates deadwood conditions based upon predictor variables/conditions (e.g., Chojnacky and Heath 2002, Bater et al 2009, Radtke et al 2009, Woodall and Westfall 2009, Eskelson et al 2012, and a simulation modelling approach that estimates deadwood conditions for decades or centuries into the future, based on estimating parameters of deadwood decay processes and deadwood inputs into the system (e.g., Kennedy et al 2010). Both approaches have their merits and are not necessarily mutually exclusive: for example, in a simulation modelling study, a statistical approach could still be used to estimate present-day initial conditions as a validated starting point for future deadwood projections.…”

Section: Introductionmentioning

confidence: 99%

Modelling deadwood supply for biodiversity conservation: Considerations, challenges and recommendations

Venier

Hébert

Grandpré

et al. 2015

The Forestry Chronicle

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There are concerns that deadwood supply (both snags and downed wood) may become a limiting resource for biodiversity conservation as the bio-economy develops. Despite this concern, it remains difficult to monitor all elements of biodiversity to ensure that forest management activities are not reducing deadwood below minimum thresholds. As a dynamic resource, deadwood quantity and quality does change throughout forest succession. Simulation modelling represents one approach to integrating this variability and supporting the refinement of forest management guidelines. In this paper, we review important considerations for developing deadwood models that address biodiversity concerns. These include defining initial conditions, estimating deadwood inputs over time, identifying parameters necessary to represent biodiversity, identifying data available to parameterize, calibrate and validate models, and identifying requirements for model validation and documentation. In addition, we consider how deadwood characteristics such as form, size, state of decay, tree species, cause of mortality and position can be treated in models to represent the full range of biodiversity requirements. Lastly, we review examples of stand-alone and study-specific deadwood modelling approaches to provide a road map for development of a robust, temporally dynamic deadwood model that addresses biodiversity and sustainability issues related to biomass harvest for bioenergy.Key words: deadwood modelling, biodiversity, bioenergy, coarse woody debris, decay class, sustainability. RÉSUMÉOn craint que les stocks de bois mort (sous forme d'arbres debout et de débris au sol) pourraient devenir une ressource limitative en matière de conservation de la biodiversité au fur et à mesure du développement de la bioéconomie. Malgré ces inquiétudes, il demeure difficile de surveiller tous les éléments de biodiversité pour s'assurer que les activités d'aména-gement forestier ne réduisent pas la quantité de bois mort en deçà d'un seuil limite. En tant que ressource dynamique, la quantité et la qualité du bois mort changent au cours de l' évolution des peuplements forestiers. Un modèle de simulation constitue une approche d'intégration de cette variabilité et permet de raffiner les directives d'aménagement forestier. Nous révisons dans cet article les principales considérations à retenir dans l' élaboration de modèles de bois mort qui tiennent compte des questions de biodiversité. Celles-ci comportent les conditions initiales, l' estimation de la production de bois mort en fonction du temps, l'identification des paramètres requis pour représenter la biodiversité, l'identification des données disponibles pour établir les paramètres, la calibration et la validation des modèles et l'identification de ce qui est requis pour valider et documenter les modèles. De plus, nous avons étudié comment les caractéristiques du bois mort comme sa forme, ses dimensions, son état de décomposition, son espèce, la cause de la mortalité et sa position, pouvaient être traitées...

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Estimating down deadwood from FIA forest inventory variables in Maine

Cited by 30 publications

References 11 publications

Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States

Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States

Comparison of field inventory methods and use of airborne laser scanning for assessing coarse woody debris

Modelling deadwood supply for biodiversity conservation: Considerations, challenges and recommendations

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