scholarly journals Evaluation and improvement of the Community Land Model (CLM 4.0) in Oregon forests

2012 ◽  
Vol 9 (9) ◽  
pp. 12757-12802
Author(s):  
T. W. Hudiburg ◽  
B. E. Law ◽  
P. E. Thornton
Keyword(s):  
Primary Production ◽  
Forest Inventory ◽  
Net Primary Production ◽  
Forest Carbon ◽  
Physiological Parameters ◽  
Process Models ◽  
Study Region ◽  
Stem Biomass ◽  
Community Land Model ◽  
Semi Arid

Abstract. Ecosystem process models are important tools for determining the interactive effects of global change and disturbance on forest carbon dynamics. Here we evaluated and improved terrestrial carbon cycling simulated by the Community Land Model (CLM4), the land model portion of the Community Earth System Model (CESM1.0.4). Our analysis was conducted primarily in Oregon forests using FLUXNET and forest inventory data for the period 2001–2006. We go beyond prior modeling studies in the region by incorporating regional variation in physiological parameters from >100 independent field sites in the region. We also compare spatial patterns of simulated forest carbon stocks and net primary production (NPP) at 15 km resolution using data collected from federal forest inventory plots (FIA) from >3000 plots in the study region. Finally, we evaluate simulated gross primary production (GPP) with FLUXNET eddy-covariance tower data at wet and dry sites in the region. We improved model estimates by making modifications to CLM4 to allow physiological parameters (e.g. foliage carbon to nitrogen ratios and specific leaf area), mortality rate, biological nitrogen fixation, and wood allocation to vary spatially by plant functional type (PFT) within an ecoregion based on field plot data in the region. Prior to modifications, default parameters resulted in underestimation of stem biomass in all forested ecoregions except the Blue Mountains and annual NPP was both over and underestimated. After modifications, model estimates of mean NPP fell within the observed range of uncertainty in all ecoregions (two-sided p-value = 0.8) and the underestimation of stem biomass was reduced. This was an improvement from the default configuration by 50% for stem biomass and 30% for NPP. At the tower sites, modeled monthly GPP fell within the observed range of uncertainty at both sites for the majority of the year, however summer GPP was underestimated at the Metolius semi-arid pine site and spring GPP was overestimated at the Campbell River mesic Douglas-fir site, indicating GPP may be an area for further improvement. The low bias in summer maximum GPP at the semi-arid site could be due to seasonal response of Vcmax to temperature and precipitation while overestimated spring values at the mesic site could be due to response of Vcmax to temperature and daylength.

scholarly journals Evaluation and improvement of the Community Land Model (CLM4) in Oregon forests

2013 ◽  
Vol 10 (1) ◽  
pp. 453-470 ◽  
Author(s):  
T. W. Hudiburg ◽  
B. E. Law ◽  
P. E. Thornton
Keyword(s):  
Primary Production ◽  
Forest Inventory ◽  
Forest Carbon ◽  
Physiological Parameters ◽  
Process Models ◽  
Day Length ◽  
Study Region ◽  
Stem Biomass ◽  
Community Land Model ◽  
Semi Arid

Abstract. Ecosystem process models are important tools for determining the interactive effects of global change and disturbance on forest carbon dynamics. Here we evaluated and improved terrestrial carbon cycling simulated by the Community Land Model (CLM4), the land model portion of the Community Earth System Model (CESM1.0.4). Our analysis was conducted primarily in Oregon forests using FLUXNET and forest inventory data for the period 2001–2006. We go beyond prior modeling studies in the region by incorporating regional variation in physiological parameters from >100 independent field sites in the region. We also compare spatial patterns of simulated forest carbon stocks and net primary production (NPP) at 15 km resolution using data collected from federal forest inventory plots (FIA) from >3000 plots in the study region. Finally, we evaluate simulated gross primary production (GPP) with FLUXNET eddy covariance tower data at wet and dry sites in the region. We improved model estimates by making modifications to CLM4 to allow physiological parameters (e.g., foliage carbon to nitrogen ratios and specific leaf area), mortality rate, biological nitrogen fixation, and wood allocation to vary spatially by plant functional type (PFT) within an ecoregion based on field plot data in the region. Prior to modifications, default parameters resulted in underestimation of stem biomass in all forested ecoregions except the Blue Mountains and annual NPP was both over- and underestimated. After modifications, model estimates of mean NPP fell within the observed range of uncertainty in all ecoregions (two-sided P value = 0.8), and the underestimation of stem biomass was reduced. This was an improvement from the default configuration by 50% for stem biomass and 30% for NPP. At the tower sites, modeled monthly GPP fell within the observed range of uncertainty at both sites for the majority of the year, however summer GPP was underestimated at the Metolius semi-arid pine site and spring GPP was overestimated at the Campbell River mesic Douglas-fir site, indicating GPP may be an area for further improvement. The low bias in summer maximum GPP at the semi-arid site could be due to seasonal response of Vcmax to temperature and precipitation while overestimated spring values at the mesic site could be due to response of Vcmax to temperature and day length.

scholarly journals Inventory-based estimation of aboveground net primary production in Japan's forests from 1980 to 2005

2011 ◽  
Vol 8 (8) ◽  
pp. 2099-2106 ◽  
Author(s):  
Y. Wang ◽  
J. Y. Fang ◽  
T. Kato ◽  
Z. D. Guo ◽  
B. Zhu ◽  
...  
Keyword(s):  
Primary Production ◽  
Net Primary Production ◽  
Carbon Sink ◽  
Field Measurements ◽  
Process Models ◽  
Aboveground Net Primary Production ◽  
Planted Forests ◽  
The Past ◽  
Terrestrial Carbon Sink

Abstract. Recent studies based on remote sensing and carbon process models have revealed that terrestrial net primary production (NPP) in the middle and high latitudes of the Northern Hemisphere has increased significantly; this is crucial for explaining the increased terrestrial carbon sink in the past several decades. Regional NPP estimation based on significant field data, however, has been rare. In this study, we estimated the long-term changes in aboveground NPP (ANPP) for Japan's forests from 1980 to 2005 using forest inventory data, direct field measurements, and an allometric method. The overall ANPP for all forest types averaged 10.5 Mg ha−1 yr−1, with a range of 9.6 to 11.5 Mg ha−1 yr−1, and ANPP for the whole country totaled 249.1 Tg yr−1 (range: 230.0 to 271.4 Tg yr−1) during the study period. Over the 25 years, the net effect of increased ANPP in needle-leaf forests and decreased ANPP in broadleaf forests has led to an increase of 1.9 Mg ha−1 yr−1 (i.e., 0.79 % yr−1). This increase may be mainly due to the establishment of plantations and the rapid early growth of these planted forests.

Simulation of Mediterranean forest carbon pools under expected environmental scenarios

2010 ◽  
Vol 40 (5) ◽  
pp. 850-860 ◽  
Author(s):  
M. Chiesi ◽  
M. Moriondo ◽  
F. Maselli ◽  
L. Gardin ◽  
L. Fibbi ◽  
...  
Keyword(s):  
Primary Production ◽  
Environmental Changes ◽  
Net Primary Production ◽  
Gross Primary Production ◽  
Central Italy ◽  
Forest Carbon ◽  
Simulation Approach ◽  
Two Factors ◽  
Vegetation Carbon ◽  
The Impact

Simulating the effects of possible environmental changes on the forest carbon budget requires the use of calibrated and tested models of ecosystem processes. A recently proposed simulation approach based on the use of the BIOME-BGC model was applied to yield estimates of present carbon fluxes and pools in Tuscany forests (central Italy). After the validation of these estimates against existing ground data, the simulation approach was used to assess the impact of plausible climate changes (+2 °C and increased CO2 concentration) on forest carbon dynamics (gross primary production (GPP), net primary production (NPP), and relevant allocations). The results indicate that the temperature change tends to inhibit all production and allocation processes, which are instead enhanced by the CO2 concentration rise. The combination of the two factors leads to a general increase in both GPP and NPP that is higher for deciduous oaks and chestnut (+30% and 24% for GPP and +42% and 31% for NPP, respectively). Additionally, vegetation carbon is slightly increased, while total soil carbon remains almost unchanged with respect to the present conditions. These findings are analyzed with reference to the Tuscany forest situation and previous studies on the subject.

scholarly journals Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming

Oecologia ◽  
2015 ◽  
Vol 177 (4) ◽  
pp. 959-969 ◽  
Author(s):  
Whitney Mowll ◽  
Dana M. Blumenthal ◽  
Karie Cherwin ◽  
Anine Smith ◽  
Amy J. Symstad ◽  
...  
Keyword(s):  
Primary Production ◽  
Latitudinal Gradient ◽  
Net Primary Production ◽  
Aboveground Net Primary Production ◽  
Arid Grasslands ◽  
Low Sensitivity ◽  
Semi Arid

scholarly journals Drought dominates the interannual variability in global terrestrial net primary production by controlling semi-arid ecosystems

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ling Huang ◽  
Bin He ◽  
Aifang Chen ◽  
Haiyan Wang ◽  
Junjie Liu ◽  
...  
Keyword(s):  
Primary Production ◽  
Interannual Variability ◽  
Southern Hemisphere ◽  
Interannual Variation ◽  
Net Primary Production ◽  
Arid Ecosystems ◽  
Leading Role ◽  
Main Driver ◽  
Semi Arid

Abstract Drought is a main driver of interannual variation in global terrestrial net primary production. However, how and to what extent drought impacts global NPP variability is unclear. Based on the multi-timescale drought index SPEI and a satellite-based annual global terrestrial NPP dataset, we observed a robust relationship between drought and NPP in both hemispheres. In the Northern Hemisphere, the annual NPP trend is driven by 19-month drought variation, whereas that in the Southern Hemisphere is driven by 16-month drought variation. Drought-dominated NPP, which mainly occurs in semi-arid ecosystems, explains 29% of the interannual variation in global NPP, despite its 16% contribution to total global NPP. More surprisingly, drought prone ecosystems in the Southern Hemisphere, which only account for 7% of the total global NPP, contribute to 33% of the interannual variation in global NPP. Our observations support the leading role of semi-arid ecosystems in interannual variability in global NPP and highlight the great impacts of long-term drought on the global carbon cycle.

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