Database for landscape-scale carbon monitoring sites

Cole, Jason A.; Johnson, Kristopher D.; Birdsey, Richard A.; Pan, Yude; Wayson, Craig; McCullough, Kevin J.; Hoover, Coeli M.; Hollinger, David Y.; Bradford, John B.; Ryan, Michael G.; Kolka, Randall K.; Wieshampel, Peter; Clark, Kenneth L.; Skowronski, Nicholas S.; Hom, John; Ollinger, Scott V.; McNulty, Steven G.; Gavazzi, Michael

doi:10.2737/nrs-gtr-119

Cited by 8 publications

(13 citation statements)

References 6 publications

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“…Sedges, mosses, and lichens are also present. Further descriptions of each stand can be found in [33][34][35][36][37][38].…”

Section: Site Descriptionmentioning

confidence: 99%

“…Biometric measurements were made in and around five 201 m 2 census plots located randomly within a 100 m radius of each flux tower (tower plots), and in 16 (oak stand) or 12 (pine stand) census plots consisting of four 168 m 2 subplots patterned after USDA Forest Service Forest Inventory and Analysis (FIA) protocols, arranged in a 4 × 4, 1-km 2 grid centered on each flux tower (FIA-type plots; Appendix B) [2,38]. In summary, live and dead trees and saplings were measured for height and diameter at breast height (diameter at breast height (DBH); 1.37 m) annually at the tower plots and periodically at the FIA-type plots, and allometric equations were used to estimate aboveground biomass and growth increments [34,52,53].…”

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

“…Forest floor mass was collected periodically throughout the study using 1.0 m 2 or 0.1 m 2 circular frames at both sets of plots, and additional 1.0 m 2 destructive sampling plots (n = 10 to 20) were harvested preand post-fire at the pine stand in 2008 and 2013 to estimate the consumption of understory vegetation and the forest floor during prescribed burns. Coarse woody debris on the forest floor was sampled in the same plots sampled for tree and sapling biomass following United States Forest Service (USFS) Forest Inventory and Analysis protocols described in [2,27,38]. Carbon flux from snags and coarse woody debris was calculated as a function of stem size, wood density, and temperature data using equations developed in [27].…”

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

“…Samples of live biomass and litter were analyzed using a C/N analyzer (Leco Carbon/Nitrogen Determinator 200-288, Leco, Inc., Saint Joseph, MI, USA) or mass loss on ignition at 550 • C to estimate C content. Biometric measurements are described in greater detail in Appendix B, and in [27,33,35,37,38].…”

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

“…We used biometric measurements made in and around permanent forest census plots to estimate leaf area and its correspondence with GEP, and to estimate ANPP. We also characterized fine litterfall and decomposition rates, as well as changes in standing dead and coarse woody debris mass to assess the correspondence of detrital dynamics with R e and estimated R h in each stand [27,38].…”

Section: Introductionmentioning

confidence: 99%

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Decadal-Scale Reduction in Forest Net Ecosystem Production Following Insect Defoliation Contrasts with Short-Term Impacts of Prescribed Fires

Clark

Renninger

Skowronski

et al. 2018

Forests

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Understanding processes underlying forest carbon dynamics is essential for accurately predicting the outcomes of non-stand-replacing disturbance in intermediate-age forests. We quantified net ecosystem production (NEP), aboveground net primary production (ANPP), and the dynamics of major carbon (C) pools before and during the decade following invasive insect defoliation and prescribed fires in oak-and pine-dominated stands in the New Jersey Pinelands National Reserve, USA. Gross ecosystem production (GEP) recovered during the year following defoliation at the oak stand, but tree mortality increased standing dead and coarse woody debris, and ecosystem respiration (R e ) accounted for >97% of GEP. As a result, NEP averaged only 22% of pre-disturbance values during the decade following defoliation. At the pine stand, GEP also recovered to pre-disturbance values during the year following understory defoliation by gypsy moth and two prescribed fires, while R e was nearly unaffected. Overall, defoliation and tree mortality at the oak stand drove a decadal-scale reduction in NEP that was twofold greater in magnitude than C losses associated with prescribed fires at the pine stand. Our study documents the outcomes of different non-stand-replacing disturbances, and highlights the importance of detrital dynamics and increased R e in long-term measurements of forest C dynamics following disturbance in intermediate-age forests.

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“…Sedges, mosses, and lichens are also present. Further descriptions of each stand can be found in [33][34][35][36][37][38].…”

Section: Site Descriptionmentioning

confidence: 99%

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

Section: Aboveground Net Primary Productivity Net Carbon Accumulatiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Decadal-Scale Reduction in Forest Net Ecosystem Production Following Insect Defoliation Contrasts with Short-Term Impacts of Prescribed Fires

Clark

Renninger

Skowronski

et al. 2018

Forests

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Modeling forest carbon cycle using long‐term carbon stock field measurement in the Delaware River Basin

Pan

Plante

et al. 2017

Ecosphere

Self Cite

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Abstract. Process-based models are a powerful approach to test our understanding of biogeochemical processes, to extrapolate ground survey data from limited plots to the landscape scale, and to simulate the effects of climate change, nitrogen deposition, elevated atmospheric CO 2 , increasing natural disturbances, and land-use change on ecological processes. However, in most studies, the models are calibrated using ground measurements from only a few sites, though they may be extrapolated to much larger areas. Estimation accuracy can be improved if the models are parameterized using long-term carbon (C) stock data from multiple sites representative of the simulated region. In this study, forest biomass C stocks measured in 61 forested plots located in three research sites in the Delaware River Basin (DRB) were used to modify the PnET-CN model in three ways: (1) Field-measured mortality rates in each forest type were used to parameterize the wood turnover rate; (2) a numerical approach was used to calibrate the relationship between foliage N and maximum photosynthesis rate; and (3) stand age was incorporated into the model as an input variable, which determines the year of the last disturbance. The results showed that these model modifications improved model performance in capturing the spatial variation of forest C dynamics in the DRB forests. The spatial distribution of forest C pools and fluxes in the three sites was mapped using the modified model. The modified model was also used in experimental scenarios, which predicted that 39% of forest C sequestered over the past decade could be attributed to the combined effects of elevated CO 2 and N deposition. This study demonstrated an effective method for using long-term biometric measurements of forest biomass C stocks to constrain and improve a process-based ecosystem model at a regional scale. Further research should target improving model parameters that are sensitive to the spatial variation of forest C dynamics.

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