An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin
© Tan et al; licensee BioMed Central Ltd. 2007
Received: 05 October 2007
Accepted: 19 December 2007
Published: 19 December 2007
Wildfires are an increasingly important component of the forces that drive the global carbon (C) cycle and climate change as progressive warming is expected in boreal areas. This study estimated C emissions from the wildfires across the Alaskan Yukon River Basin in 2004. We spatially related the firescars to land cover types and defined the C fractions of aboveground biomass and the ground layer (referring to the top 15 cm organic soil layer only in this paper) consumed in association with land cover types, soil drainage classes, and the C stocks in the ground layer.
The fires led to a burned area of 26,500 km2 and resulted in the total C emission of 81.1 ± 13.6 Tg (Tg, Teragram; 1 Tg = 1012 g) or 3.1 ± 0.7 kg C m-2 burned. Of the total C emission, about 73% and 27% could be attributed to the consumption of the ground layer and aboveground biomass, respectively.
The predominant contribution of the ground layer to the total C emission implies the importance of ground fuel management to the control of wildfires and mitigation of C emissions. The magnitude of the total C emission depends on fire extent, while the C loss in kg C m-2 burned is affected strongly by the ground layer and soil drainage condition. The significant reduction in the ground layer by large fires may result in profound impacts on boreal ecosystem services with an increase in feedbacks between wildfires and climate change.
Wildfires can result in losses of 15% – 35% of aboveground biomass and 37% – 70% of ground layers . The pre-fire spatial variations in the C stocks in ground layers and the variations in the fraction of C consumed during burning both contribute to the uncertainty of C emission estimates . Neff et al.  believe that the uncertainty is also attributed to the C density of deeper organic layers and the depth to which fires may reach.
It has been reported that soil drainage condition affects fire frequency and severity [4, 5], vegetation recovery , and rates of organic matter decomposition  in the boreal region where thicker ground layer and higher soil C stocks are usually associated with poorer drained soils [4, 5]. In other words, soil drainage conditions directly affect organic C accumulation as indicated by the thickness of the ground layer. On the other hand, soil drainage conditions determine the fractions of the ground layer consumed  and total fire emissions [4, 9], even though fire weather conditions and seasonal thawing of soil or permafrost likely play an important role. For example, Neff et al.  estimated losses of up to 50% of ground layer C on poorly-drained sites, while Stocks and Kauffman  and French et al.  reported the losses of 60% to 90% on well-drained sites in Alaska. Because there are 40 – 60% of Alaska land consists of poorly drained soils , it is critical to understand how fire-induced C emissions are related to soil drainage classes.
There are a few studies to quantify ground fuels in Alaska [13, 14], but there has been a lack of a spatially-explicit linkage of firescars to the information about ground layers and soil drainage conditions over the Alaskan boreal forests, while uncertainties associated with burning of ground layers which are commonly found in boreal forests and peatlands may be mainly responsible for the variation in fire-induced C emission estimate. According to Kasischke et al. , if only both ground fuel and burned area are considered to be responsible for the total variation in C emissions in the boreal forests, 63% are resulted from the uncertainty in ground fuels and 37% are attributed to the uncertainty in burned area, suggesting that the information about variations in ground fuels is essential for C emission estimation.
The year 2004 was the largest fire year in Alaska since 1950, and an estimate of C emissions for that year will help evaluate the contribution of wildfires in boreal forests to the global C budget. We took the Alaskan Yukon River Basin (YRB) as the study area because there was 83% of the total burned area across Alaska occurred within this area in 2004. The estimation of the C emissions from the wildfires in 2004 was based on the assumption that the level of fire-induced C release under a given fire weather condition depends on fire severity, land cover type, the thickness and C density of the ground layer, while these variables are supposedly associated with soil drainage conditions.
Associations of firescars with soil drainage conditions
Estimates of carbon emissions
Pre-fire carbon stock and carbon release from the fires in 2004 in the study area.
Ground Layer (organic soil)
Kg C m-2
T g C
Kg C m-2
Contributions of land cover types
The total C emission from the 2004 wildfires across the YRB is about 6.7 times the annual anthropogenic emissions (12.3 Tg C) from Alaska in 2003 , or equivalent to 61% of the annual biomass C photosynthesized over the study area if the average NPP was about 266 g Cm-2 in 2004 .
Generally, our estimate of C emissions from the 2004 fire year is comparable with those reported for previous wildfire years in Alaska. For example, Kasischke et al. reported an average C release of 2.88 kg C m-2 from 1990/1991 fires. Kasischke and Bruhwiler  estimated a range of total C emissions from 1.77 to 3.72 kg C m-2 burned for the 1998 boreal forest fires across the Western North America by setting three different burn severity class scenarios (low, medium and high) and assuming each class had a different set of fractions of C consumed. Kasischke et al.  also simulated a range of 1.17 to 4.22 kg C m-2 burned from the 1990 boreal forest fires in the central YRB.
The consumed C fractions of both aboveground biomass and the ground layer are very close to the average values reported previously. The C density of pre-fire ground layer expressed as kg C m-2 per cm depth of the ground layer, our estimate of 0.34 kg C m-2 per cm depth is comparable to the 0.36 kg C m-2 per cm depth derived from the data of Kasischke et al. , but higher than the 0.21 kg C m-2 per cm depth reported by Kane et al. . As presented in Table 1, 73% of all consumed C was contributed by the combustion of the ground layer. It has been realized that the consumed portion of the ground layer (or reduction in the depth by burning) depends on the burn severity and ground wetness at burning time [4, 23, 24]. Historical fire records indicate that about 20% more burned area was associated with well drained soils in 2004 than in 1990/1991. Again, the consumed fraction of aboveground biomass varies with vegetation type [21, 25]. About 60% of all burned area in 2004 was associated with the shrub-related land cover types. However, the error associated with the Alaska vegetation class dataset could partially contribute to the uncertainty of the estimate due not only to the coarse spatial resolution but also to the quality of remote sensing data and interpretation. Note that the firescars data from the Alaska BLM Wildland Fire Dataset  were collected based on the reporting system. Such reporting systems may come up with uncertainties due to inaccuracy in determining perimeters and missing data, which consequently could contribute some to the uncertainty of our estimates.
Another important contributor to the uncertainty of the C release estimate is burn severity. Data are scarce for verifying burn severity of the Alaskan fires in 2004. As a case study, we examined the 1999's firescars in the Yukon-Charley National Preserve. We estimated the C release from the fires in 1999 based on the moderate burn severity scenario. We estimated C release from the 2004 fires again, using the burn severity map (with low, moderate and high classes) to define the consumed C fractions for aboveground biomass and ground organic layers. The burn severity map was generated using the differenced normalized burn ratio (dNBR) approach that is suggested by the U.S. Wildland Fire Leadship Council for the Monitoring Trends in Burn Severity project. No significant difference was observed, although the method using three burn severity classes resulted in a higher estimate than did the method with an assumption that all fires were moderate severity.
According to French et al. , large fire years usually lead to a high burn severity; and more burned area associated with well drained soils generally have a higher consumed C fraction of ground layers. Therefore, both together, as characterized by the 2004 wildfires across the YRB, certainly lead to a high C release. In this study we accounted for the contribution of the ground layer to the total C emission by spatially relating individual firescars to the pre-fire land cover types and also defining the consumed C fractions in association with both the soil drainage classes of the firescars and the C stocks in the ground layer. This can partially trade off some uncertainty associated with burn severity quantification. Note that the uncertainty of the estimate might be also attributed to the errors associated with the STATSGO database  from which the pre-fire C stocks of the ground layer were derived. Unfortunately, the soil database is the only data source available on the state scale even though its spatial resolution is not fine enough for the presented study. Meanwhile, the STATSGO approach ignored the fact that the upper part of the ground layer has a lighter C density than does the lower part (by about 20% to 30%), implying that the consumed C fraction and the total C emission based on the C density averaged for the ground layer were certainly overestimated. Assuming the C density of the upper part of the ground layer is 20% smaller than that of the lower part, the total C emission would be about 68.7 Tg and the contribution of the ground layer to the total C emission would be reduced to 70%. Such an estimate is close to that (70.5 Tg C) made by Ottmar et al.  in which they classified all fuels across the YRB into three FCCS fuelbed types (i.e. birch and aspen, black spruce, and willow/alder shrubland) to run their model CONSUME 3.0.
As indicated in Table 1, the ground layer along with the litter/lichen/moss layer was estimated to contribute as high as 83% to the total C emission (about 6 cm top organic soil layer was destroyed), implying the importance of ground fuel management to the control of wildfires and mitigation of C emissions. More importantly, the consequences and impacts of such predominant contribution can be profound on the boreal ecosystem services and future global change. First, about 77% of all C stock is stored in ground layers and soils in the whole boreal region, and the C emissions from historical wildfires in this region might have been largely underestimated by previous approaches. Second, large wildfires are associated with the boreal forests that have large areas of permafrost [28, 29]. The fire-induced C emissions from the combustion of the ground layer could enhance degradation of permafrost. It has been documented that the fire- and warming-induced collapse of ecosystem structure and permafrost has damaged infrastructure, altered discharge pathways of surface water, disrupted native subsistence cultures, and aided the spread of invasive species [30, 31]. An increase in the frequency and extent of boreal forest wildfires in response to the warming climate will lead to additional deterioration of boreal ecosystem functioning.
To more accurately predict potential C emissions from wildfires, additional pre- and post-fire sampling studies are needed to quantify ground layers over large areas for monitoring changes in both ground layers and permafrost with various wildfire regimes.
The predominant contribution of ground organic layers to the total C emission implies the importance of ground fuel management to the control of wildfires and mitigation of C emissions. The magnitude of the total C emission depends on fire extent, while the C loss in kg C m-2 burned is affected strongly by ground organic layer and soil drainage condition. The significant reduction in the ground layer by large fires may result in profound impacts on boreal ecosystem services with an increase in feedbacks between wildfires and climate change.
Study area and firescars
The historical wildfire records  show that about 35% of the study area experienced wildfires between 1950 and 2005. The wildfires in 2004 resulted in 102 firescars (larger than 40 ha each) as indicated by the polygons in Figure 3, and burned 26,500 km2. The ignorance of firescars smaller than 40 ha is because their proportion to the total burned area is insignificant .
Algorithm for estimating C release from fires
Estimating C emissions from fires is a multi-step process. First, to determine the areas burned by relating firescars to land cover types; then determine C stocks associated with land cover types by spatially linking to the C stocks in ground layers from the Alaska STATSGO database ; finally, to estimate consumed and emitted C fractions for each land cover type and soil drainage class defined by Rieger et al. . Consumed C fractions are defined for both aboveground biomass and ground layers which are associated with land cover type and soil drainage class, respectively.
Ct = A(Caβa + Cgβg) (1)
where A is the total area burned (ha); C a is the average C density of aboveground biomass (kg C m-2), assuming the C fraction of the aboveground biomass is about 0.50 ; β a is the fraction of aboveground biomass consumed during a fire; C g is the C density (kg C m-2) of ground layers exposed to a fire, and β g is the fraction of the organic layers consumed by the fire.
Land cover types in association with firescars
1990–1991 land cover type inventory across the study area and areal percentage of each land cover type involved in the fires in 2004.
Land Cover type (total area is 502, 451 km2)
Area involved in the fires (%)
Glacier & Snow
Dwarf Shrub Tundra
Tussock Sedge/Dwarf Shrub Tundra
Moist Herbaceous/Shrub Tundra
Low Shrub/Lichen Tundra
Closed Mixed Forest
Open Spruce/Shrub/Bog Mosaic
Spruce Broadleaf Forest
Open & Closed Spruce Forest
Mixed Spruce Forest Mosaic
Closed Spruce and Hemlock Forest
Tall and Low Shrub
Consumed C fractions of aboveground biomass and ground layers
The C magnitudes of aboveground biomass (β a ) as defined by the FCCS for different land cover types in the study area were derived from the literature. The baseline C stocks (C g ) of the ground layers involved in the fires consists only of the upper organic soil layers, and was derived from the Alaska STATSGO database  which has no information about the litter/moss layer. If there were no soil bulk density data available for calculating the C stock, then the bulk densities were estimated with the equation developed by Adams  as follows:
BDej = 100/[(OMmj/0.22) + (100 - OMmj)/ρm] (2)
where BDej estimated bulk density for the jth layer (g cm-3)
OMmj median value of OM concentration range (%)
ρm the bulk density with zero organic matter (usually using 1.60 (g cm-3) to replace ρm)
0.22 a conversion factor for OM to become a portion of total soil mass.
Meanwhile, the C pool of the litter/lichen/moss layer was estimated with assumptions as follows: (1) the average depth and C density of the litter/lichen/moss layer are supposed to be 4 cm and 138 g C m-2 cm-1, respectively ; and (2) the depth of the litter/lichen/moss layer is assumed to vary with drainage classes and depths 2, 3, 5, 5, and 2 cm are assigned for very poorly drained, poorly drained, somewhat poorly drained, well drained, and excessively drained, respectively.
Carbon contents of aboveground biomass and ground organic layers and consumed C fractions related to burn severity levels in the Alaskan Yukon River Basin.
Biomass Kg C m-2
Fraction consumed (β) with burn severity
Above ground Biomass
Ground Layer (or Organic Soil)
In our study, we overlaid the GIS theme of soil drainage classes with the firescars theme and assigned the average fractions of C consumed (see Table 3) to individual firescars in reference to their land cover types and soil drainage classes as defined by the Alaska STATSGO. Soil drainage classes that were associated with the firescars included very poorly drained, poorly drained, somewhat poorly drained, well drained, and excessively drained. The C fractions of the ground layer consumed were assumed to be 0.25 for the very poorly drained, 0.30 for the poorly drained, 0.35 for the somewhat poorly drained, 0.45 for the well drained, and 0.60 for the excessively drained [3, 4, 8–11]. For the 1990/1991 land cover types named 1990/1991 firescars, the land cover type of shrub was assumed to be the predominant vegetation succession  for the aboveground biomass estimation. For the firescars occurred between 1990 and 2003 which were reburned in 2004, we assumed that the baseline C stocks in the top 15 cm ground layer for estimating the 2004 burning emissions were reduced by 39% based on a moderate burn severity (see Table 3).
This research was supported by the LANDFIRE and Dynamic Vegetation Modeling Project of the USGS Earth Surface Dynamics Program. We thank Norman Bliss, Michael Budde, and anonymous reviewers for their helpful comments. The work of Zhengxi Tan, Shuguang Liu, and Stephen M. Howard was performed under U.S. Geological Survey contract 03CRCN0001.
- Yarie J, Billings S: Carbon balance of the taiga forest within Alaska: present and future. Can J For Res 2002, 32: 757–767. 10.1139/x01-075View ArticleGoogle Scholar
- French NHF, Goovaerts P, Kasischke ES: Uncertainty in estimating carbon emissions from boreal forest fires. J Geophys Res Atmos 2004, 109: D14S08. doi:10.1029/2003JD003635. doi:10.1029/2003JD003635. 10.1029/2003JD003635View ArticleGoogle Scholar
- Neff JC, Harden JW, Gleixner G: Fire effects on soil organic matter content, composition, and nutrients in boreal interior Alaska. Can J For Res 2005, 35: 2178–2187. doi:10.1139/X05–154. doi:10.1139/X05-154. 10.1139/x05-154View ArticleGoogle Scholar
- Harden JW, Trumbore SE, Stocks BJ, Hirsch A, Gower ST, O'Neill KP, Kasischke ES: The role of fire in the boreal carbon budget. Global Change Biology 2000,6(S1):174–184. 10.1046/j.1365-2486.2000.06019.xView ArticleGoogle Scholar
- Harden JW, Meier R, Silapaswan C, Swanson DK, McGuire AD: Soil drainage and its potential for influencing wildfires in Alaska, Studies by the U.S. Geological Survey in Alaska. U.S. Geological Survey Professional Paper 1678; 2001:139–144.Google Scholar
- Viereck LA, Dyrness CT, Van Cleve K, Foote MJ: Vegetation, soils, and forest productivity in selected forest types in interior Alaska. Can J For Res 1983, 13: 703–720.View ArticleGoogle Scholar
- Flanagan PW, Van Cleve K: Nutrient cycling in relation to decomposition and organic-matter quality in taiga ecosystems. Can J For Res 1983, 13: 795–817.View ArticleGoogle Scholar
- Manies KL, Harden JW, Yoshikawa K, Randerson J: The effect of soil drainage on fire and carbon cycling in central Alaska. U.S. Geological Survey Professional Paper 1678; 2001.Google Scholar
- Kasischke ES, Johnstone JF: Variation in postfire organic layer thickness in a black spruce forest complex in interior Alaska and its effects on soil temperature and moisture. Can J For Res 2005, 35: 2164–2177. doi:10.1139/X05–159. doi:10.1139/X05-159. 10.1139/x05-159View ArticleGoogle Scholar
- Stocks BJ, Kauffman JB: Biomass consumption and behavior of wildland fires in boreal, temperate, and tropical ecosystems: Parameters necessary to interpret historic fire regimes and future fire scenarios. In Sediment Records of Biomass Burning and Global Change. Edited by: Clark JS, et al. New York: Springer-Verlag; 1997:169–188.View ArticleGoogle Scholar
- French NHF, Kasischke ES, Williams DG: Variability in the emission of carbon-based trace gases from wildfire in the Alaskan boreal forest. J Geophys Res 2003, 8151. doi:10.1029/2001JD000480. doi:10.1029/2001JD000480.Google Scholar
- Meier R, Harden JW, Silapaswan C, Swanson DK, Zhuang Q, McGuire AD: Characterization of soil drainage classes for the study of soil carbon storage in Alaska [abstract]. Eos (American Geophysical Union Transactions) 2000, 81: 1353.Google Scholar
- Ottmar R, Vihnanek RE: Stereo photo series for quantifying natural fuels. Volume II: black spruce and white spruce types in Alaska. In PMS 831. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center; 1998:65.Google Scholar
- Ottmar R, Vihnanek RE: Stereo photo series for quantifying natural fuels. Volume IIa: hardwoods with spruce in Alaska. In PMS 836. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center; 2002:41.Google Scholar
- Kasischke ES, Hyer E, Novelli P, Bruhwiler L, French NHF, Sukhinin AI, Hewson JH, Stocks BJ: Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide. Glob Biogeochem Cycles 2005, 19: GB1012. doi:10.1029/GB002300. doi:10.1029/GB002300. 10.1029/2004GB002300View ArticleGoogle Scholar
- U.S. Department of Agriculture, Natural Resource Conservation Service: The STATSGO soil survey of Alaska. Forest Health Monitoring Clearinghouse [http://agdc.usgs.gov/data/projects/fhm/#G]
- Energy Information Administration of U.S. Department of Energy: Energy emissions data & environmental analysis of energy data.[http://www.eia.doe.gov/environment.html]
- van der Werf GR, Randerson JT, Giglio L, Collatz GJ, Kasibhatla PS, Kasibhatla PS, Arellano AF Jr: Interannual variability in global biomass burning emissions from 1997 to 2004. Atmos Chem Phys 2006, 6: 3423–3441.View ArticleGoogle Scholar
- Kasischke ES, French NHF, Bourgeau-Chavez LL, Christensen NL Jr: Estimating release of carbon from 1990 and 1991 forest fires in Alaska. J Geophys Res 1995,100(D2):2941–2951. 10.1029/94JD02957View ArticleGoogle Scholar
- Kasischke ES, Bruhwiler LP: Emissions of carbon dioxide, carbon monoxide, and methane from boreal forest fires in 1998. J Geophys Res 2003, 107: 8146. doi:10.1029/2001JD000461. doi:10.1029/2001JD000461.Google Scholar
- Kasischke ES, O'Neill KP, French NHF, Bourgeau-Chavez LL: Controls on patterns of biomass burning in Alaskan boreal forests. In Fire, Climate Change, and Carbon Cycling in the North American Boreal Forest. Edited by: Kasischke ES, Stocks BJ. New York: Springer-Verlag; 2000:73–196.View ArticleGoogle Scholar
- Kane ES, Valentine DW, Schuur EAG, Dutta K: Soil carbon stabilization along climate and stand productivity gradients in black spruce forests of interior Alaska. Can J For Res 2005, 35: 2118–2129. 10.1139/x05-093View ArticleGoogle Scholar
- Amiro BD, Todd JB, Wotton BM, Logan KA, Flannigan MD, Stocks BJ, Mason JA, Martell DC, Hirsch KG: Direct carbon emissions from Canadian forest fires 1959 to 1999. Can J For Res 2001, 31: 512–525. 10.1139/cjfr-31-3-512View ArticleGoogle Scholar
- Miyanishi K, Johnson EA: Process and patterns of duff consumption in the mixwood boreal forest. Can J For Res 2002, 32: 1285–1295. 10.1139/x02-051View ArticleGoogle Scholar
- French NHF, Lynham TJ, Hall RJ, de Groot WJ, Pritchard J, Peters VS, Kasischke ES, Turetsky MR, Hollingsworth TN, Bourgeau-Chavez LL: Boreal Forest Fire Biomass Consumption for Carbon Emission Estimation: Measurement Requirements and Current Research [abstract]. American Geophysical Union, Fall Meeting; 2005:A21B-0860.Google Scholar
- Alaska Bureau of Land Management of U.S. Department of the Interior: Wildland Fire Dataset for Alaska. AGDC Alaska Geospatial Data Clearinghouse [http://agdc.usgs.gov/data/blm/fire/index.html]
- Ottmar RD, Sandberg DV, Prichard SJ, Riccardi CL: An Overview of the Fuel Characteristic Classification System – Quantifying, Classifying, and Creating Fuelbeds for Resource Planning. Can J For Res 2007, in press.Google Scholar
- Eswaran H, Van den Berg E, Reich P: Organic carbon in soils of the world. Soil Sci Soc Am J 1993, 5: 192–194.View ArticleGoogle Scholar
- Tarnocai C: The amount of organic carbon in various soil orders and ecological provinces in Canada. In Soil processes and the carbon cycle. Edited by: Lal R, Kimble JM, Follett RF, Stewart BA. Boca Raton, Florida: RC Press; 1998:81–92.Google Scholar
- Hassol SJ: Impacts of a Warming Arctic: Arctic Climate Impact Assessment. Cambridge, United Kingdom: Cambridge University Press; 2004.Google Scholar
- Jorgenson MT, Shur YL, Pullman ER: Abrupt increase in permafrost degradation in Arctic Alaska. Geophys Res Lett 2006, 33: L02503. doi:10.1029/2005GL024960. doi:10.1029/2005GL024960. 10.1029/2005GL024960View ArticleGoogle Scholar
- Dyrness CT, Norum RA: The effects of experimental fires on black spruce forest floors in interior Alaska. Can J For Res 1983, 13: 879–893.View ArticleGoogle Scholar
- Murphy PJ, Midd JP, Stocks BJ, Kasischke ES, Barry D, Alexander ME, French NHF: Historical fire records in the north American boreal forest. In Fire, Climate Change, and Carbon Cycling in the North American Boreal Forest. Edited by: Kasischke ES, Stocks BJ. New York: Springer-Verlag; 2000:274–288.View ArticleGoogle Scholar
- Rieger S, Schoephorster DB, Furbush CE: Exploratory soil survey of Alaska. Soil Conservation Service. Washington, D.C; 1979:213.Google Scholar
- French NHF, Kasischke ES, Stocks BJ, Mudd JP, Martell DL, Lee BS: Carbon release from fires in the North American boreal forest. In Fire, Climate Change, and Carbon Cycling in the Boreal Forest. Edited by: Kasischke ES, Stocks BJ. New York: Springer-Verlag; 2000:377–388.View ArticleGoogle Scholar
- Seiler W, Crutzen PJ: Estimates of gross and net fluxes of carbon between the biosphere and atmosphere. Clim Change 1980, 2: 207–247. 10.1007/BF00137988View ArticleGoogle Scholar
- USFS/State and Private Forestry and USGS Alaska Geographic Science Office: Vegetation map of Alaska. Forest Health Monitoring Clearinghouse [http://agdc.usgs.gov/data/projects/fhm/#G]
- Adams WA: The effect of organic matter on the bulk and true densities of some uncultivated podzolic soils. J Soil Sci 1973, 24: 10–17. 10.1111/j.1365-2389.1973.tb00737.xView ArticleGoogle Scholar
- Kasischke ES, French NHF, Bourgeau-Chavez LL, Michalek JL: Using satellite data to monitor fire-related processes in boreal forests. In Fire, Climate Change, and Carbon Cycling in the North American Boreal Forest. Edited by: Kasischke ES, Stocks BJ. New York: Springer-Verlag; 2000:406–422.View ArticleGoogle Scholar
- Botkin DB, Simpson LD: Biomass of the North American boreal forest: a step forward toward accurate global measures. Biogeochem 1990, 9: 161–174.Google Scholar
- Shaver GR, Bret-Harte MS, Jones MH, Johnstone J, Gough L, Laundre J, Chapin FS: Species composition interacts with fertilizer to control long-term change in tundra productivity. Ecology 2001, 82: 3163–3181.View ArticleGoogle Scholar
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