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Realistic representation of land carbon sink in climate models is vital for predicting carbon climate feedbacks in a changing world. Although soil erosion that removes land organic carbon has increased substantially since the onset of agriculture, it is rarely included in the current generation of climate models. Using an Earth system model (ESM) with soil erosion represented, we estimated that on average soil erosion displace...
Tundra landscape heterogeneity, not interannual variability, controls the decadal regional carbon balance in the Western Russian ArcticNARA Subscribed
Across the Arctic, the net ecosystem carbon (C) balance of tundra ecosystems is highly uncertain due to substantial temporal variability of C fluxes and to landscape heterogeneity. We modeled both carbon dioxide (CO 2 ) and methane (CH 4 ) fluxes for the dominant land cover types in a ~100‐km 2 sub‐Arctic tundra region in northeast European Russia for the period of 2006–2015 using process‐based biogeochemical models. Modeled n...
Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approachesNARA Subscribed
Stresses from heat and drought are expected to increasingly suppress crop yields, but the degree to which current models can represent these effects is uncertain. Here we evaluate the algorithms that determine impacts of heat and drought stress on maize in 16 major maize models by incorporating these algorithms into a standard model, the Agricultural Production Systems sIM ulator ( APSIM ), and running an ensemble of simulatio...
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