Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model ...

• Main Author: Yonghong Yi
• Format: Dataset
• Language: unknown
• Published: Root 2023
• Subjects: Arctic; Climate change; permafrost; Tundra; Alaska
• Online Access: https://dx.doi.org/10.48577/jpl.s5aktq; https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.S5AKTQ

The contribution of soil heterotrophic respiration to the boreal-Arctic carbon (CO2) cycle and its potential feedback to climate change remain poorly quantified. We developed a remote sensing driven permafrost carbon model at intermediate scale (~1 km) to investigate how environmental factors affect the magnitude and seasonality of soil heterotrophic respiration in Alaska. The permafrost carbon model simulates snow and soil thermal dynamics, and accounts for vertical soil carbon transport and decomposition at depths up to 3 m below surface. Model outputs include soil temperature profiles and carbon fluxes at 1-km resolution spanning the recent satellite era (2001-2017) across Alaska. Comparisons with eddy covariance tower measurements show that the model captures the seasonality of carbon fluxes, with favorable accuracy in simulating net ecosystem CO2 exchange (NEE) for both tundra (R > 0.8, RMSE = 0.34 g C m-2 d-1) and boreal forest (R > 0.73, RMSE = 0.51 g C m-2 d-1). Benchmark assessments using two ...