RESEARCH ARTICLE Mechanistic Modeling of Microtopographic Impacts 10.1029/2019MS001771 on CO2 and CH4 Fluxes in an Alaskan Tundra Key Points: ‐ • The CLM‐microbe model is able to Ecosystem Using the CLM Microbe Model simulate microtopographical Yihui Wang1, Fengming Yuan2, Fenghui Yuan1,3, Baohua Gu2 , Melanie S. Hahn4, impacts on CO and CH flux in the 2 4 5 2 2 1 Arctic Margaret S. Torn , Daniel M. Ricciuto , Jitendra Kumar , Liyuan He , • Substrates availability for Donatella Zona1 , David A. Lipson1, Robert Wagner1 , Walter C. Oechel1, methanogenesis is the most Stan D. Wullschleger2 , Peter E. Thornton2 , and Xiaofeng Xu1 important factor determining CH4 emission 1Department of Biology, San Diego State University, San Diego, CA, USA, 2Environmental Sciences Division, Oak Ridge • The strong microtopographic 3 impacts call for a model‐data National Laboratory, Oak Ridge, TN, USA, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang City, integration framework to better China, 4Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, USA, 5Earth Sciences understand and predict C flux in the Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Arctic Abstract Spatial heterogeneities in soil hydrology have been confirmed as a key control on CO2 and CH4 fl ‐ Correspondence to: uxes in the Arctic tundra ecosystem. In this study, we applied a mechanistic ecosystem model, CLM X. Xu, Microbe, to examine the microtopographic impacts on CO2 and CH4 fluxes across seven landscape types in
[email protected] Utqiaġvik, Alaska: trough, low‐centered polygon (LCP) center, LCP transition, LCP rim, high‐centered polygon (HCP) center, HCP transition, and HCP rim. We first validated the CLM‐Microbe model against Citation: static‐chamber measured CO2 and CH4 fluxes in 2013 for three landscape types: trough, LCP center, and Wang, Y., Yuan, F., Yuan, F., Gu, B., LCP rim.