Quantifying soil carbon accumulation in Alaskan terrestrial ecosystems during the last 15ĝ€-000 years

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Abstract

Northern high latitudes contain large amounts of soil organic carbon (SOC), of which Alaskan terrestrial ecosystems account for a substantial proportion. In this study, the SOC accumulation in Alaskan terrestrial ecosystems over the last 15 000 years was simulated using a process-based biogeochemistry model for both peatland and non-peatland ecosystems. Comparable with the previous estimates of 25- 70 PgC in peatland and 13-22 Pg C in non-peatland soils within 1m depth in Alaska using peat-core data, our model estimated a total SOC of 36-63 Pg C at present, including 27-48 PgC in peatland soils and 9-15 Pg C in non-peatland soils. Current vegetation stored 2.5-3.7 Pg C in Alaska, with 0.3-0.6 PgC in peatlands and 2.2-3.1 Pg C in non-peatlands. The simulated average rate of peat C accumulation was 2.3 TgC yr-1, with a peak value of 5.1 Tg C yr-1 during the Holocene Thermal Maximum (HTM) in the early Holocene, 4-fold higher than the average rate of 1.4 TgC yr-1 over the rest of the Holocene. The SOC accumulation slowed down, or even ceased, during the neoglacial climate cooling after the mid-Holocene, but increased again in the 20th century. The model-estimated peat depths ranged from 1.1 to 2.7 m, similar to the field-based estimate of 2.29m for the region. We found that the changes in vegetation and their distributions were the main factors in determining the spatial variations of SOC accumulation during different time periods. Warmer summer temperature and stronger radiation seasonality, along with higher precipitation in the HTM and the 20th century, might have resulted in the extensive peatland expansion and carbon accumulation.

Figures

  • Figure 1. The P-TEM (Peatland-Terrestrial Ecosystem Model) framework includes a soil thermal module (STM), a hydrologic module (HM), a carbon/nitrogen dynamic model (CNDM), and a methane dynamics module (MDM) (Wang et al., 2016).
  • Table 1. Description of sites and variables used for parameterizing the core carbon and nitrogen module (CNDM).
  • Table 2. Carbon pools and fluxes used for calibration of CMDM.
  • Figure 2. Alaskan vegetation distribution maps reconstructed from fossil pollen data during (a) 15–11 ka, (b) 11–10 ka, (c) 10–9 ka, (d) 9 ka–1900 AD, and (e) 1900–2000 AD (He et al., 2014). Symbols represent the basal age of peat samples (n= 102) in Gorham et al. (2012). Each symbol indicates one to three peat samples in the map. Peat samples with basal age 9–5 k and 5 k–19th are shown in map (d) as there is no change in vegetation distribution during 9 k– 19th. Barren refers to mountain range and large water body areas that can not be interpolated.
  • Table 3. Assignment of biomized fossil pollen data to the vegetation types in TEM (He et al., 2014).
  • Table 4. Relations between peatland basal age and vegetation distribution.
  • Table 5. Sites used for comparison of carbon accumulation rates between simulation and observation (Jones and Yu, 2010).
  • Figure 3. Simulated paleo-climate and other input data from 15 ka to 2000 AD: (a) mean monthly and (b) mean annual net incoming solar radiation (NIRR, W m−2), (c) mean monthly and (d) mean annual air temperature (◦), and (e) mean monthly and (f) mean annual precipitation (mm) (Timm and Timmermann, 2007; He et al., 2014).

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APA

Wang, S., Zhuang, Q., & Yu, Z. (2016). Quantifying soil carbon accumulation in Alaskan terrestrial ecosystems during the last 15ĝ€-000 years. Biogeosciences, 13(22), 6305–6319. https://doi.org/10.5194/bg-13-6305-2016

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