Quantifying the Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-based Biogeochemistry Models and in Situ and Satellite Data

Zhou Lyu, Purdue University

Abstract

Terrestrial ecosystems of northern mid-to-high latitudes (45°-90°N) play a critical role in global carbon cycling and climate system feedbacks, given the massive carbon storage in the region and the amplification effects due to year-round and seasonal snow covering. This region has vast area of peatlands with a large amount of soil organic carbon. It has experienced dramatic climatic and environmental changes in recent decades, and the changes are expected to continue. This dissertation aims to quantify the Arctic carbon dynamics under these changes using mechanistically-based biogeochemistry models and in situ and remotely sensed data. In the Arctic, snow pack modifies soil and carbon dynamics in the region due to its insulation effects. This dissertation first incorporated these effects by introducing a snow model into an existing soil thermal model in a biogeochemistry modeling framework, the Terrestrial Ecosystem Model (TEM). The coupled model was then used to quantify snow insulation effects on carbon (C) and soil thermal dynamics in the 45°-90°N region for the historical period of 2003-2010 and the future period of 2017-2099 under two future climate scenarios. The revised model captured the snow insulation effects and improved the estimates of soil thermal dynamics and the land freeze-thaw as well as terrestrial ecosystem carbon dynamics. Historical mean cold-season soil temperature at 5cm depth driven with satellite-based snow data was 6.4°C warmer in comparison with the original model simulation. Frozen area in late spring was estimated to shrink mainly over eastern Siberia, in central to eastern Europe, and along southern Canada in November. During each non-growing season in the historical period, 0.41 Pg more soil C was released due to warmer soil temperature estimated using the new model. During 2003-2010, the revised model estimated that the region accumulated 0.86 Pg less C due to weaker gross primary production, leading to a regional C loss at 0.19 PgC/yr. The revised model projected that the region will lose 38-51% of its permafrost area by 2100 and continue to be a C source under the low emission scenario (RCP2.6), but to be gradually transitioning into a weak sink in the latter half of the 21 st century under the high emission scenario (RCP8.5). In the Arctic, wetlands cover relatively large area, especially in the state of Alaska. Wetlands terrestrial ecosystems in Alaska cover ~177,000 km2, an area greater than all the wetlands in the remainder of the United States. They are important to carbon dynamics of Alaska terrestrial ecosystem as a whole as well as regional warming potential. To assess the relative influence of changing climate, atmospheric carbon dioxide (CO 2) concentration, and fire regime on carbon balance in wetland ecosystems of Alaska, a modeling framework that incorporates a fire disturbance model and two biogeochemical models was used. Spatially explicit simulations were conducted at 1 km-resolution for the historical period (1950-2009) and future projection period (2010-2099). Simulations estimated that wetland ecosystems of Alaska lost 175 TgC in the historical period. Ecosystem C storage in 2009 was 5556 Tg, with 89% of the C stored in soils. The estimated loss of C as CO2 and biogenic methane (CH4) emissions resulted in wetlands of Alaska increasing the greenhouse gas forcing of climate warming. Simulations for the projection period were conducted for six climate change scenarios constructed from two climate models forced under three CO2 emission scenarios. Ecosystem C storage averaged among climate scenarios increased 3.94 TgC/yr by 2099, with variability among the simulations ranging from 2.02 to 4.42 TgC/yr. These increases were driven primarily by increases in net primary production (NPP) that were greater than losses from increased decomposition and fire. The NPP increase was driven by CO2 fertilization (~5% per 100 ppmv increase) and by increases in air temperature (~1% per °C increase). Increases in air temperature were estimated to be the primary cause for a projected 47.7% mean increase in biogenic CH 4 emissions among the simulations (~15% per °C increase). (Abstract shortened by ProQuest.)

Degree

Ph.D.

Advisors

Zhuang, Purdue University.

Subject Area

Environmental science

COinS