Ponderosa pine (Pinus ponderosa) forests account for 22% of western U.S. forests and are an important part of the US carbon stock (Powell et al., 1993). Understanding carbon cycling in these forests will give a better understanding of the North American carbon cycle and the USA's net contribution to climate change. Empirical understanding of carbon cycling in ponderosa forests beyond just photosynthesis and woody biomass is critical to inform land surface models because these models disagree widely (Friedlingstein et al, 2014). By 2,100, there is a 1,000 Pg C discrepancy in land flux among current models, which makes future global climate predictions difficult (Friedlingstein et al., 2014). Much uncertainty of these models is due to uncertainty in carbon use efficiency (CUE: total Net Primary Production [NPP]/Gross Primary Production [GPP]) and how carbon is allocated to long term pools such as wood (De Lucia et al., 2007; Malhi et al., 2011). For instance, a ±20% uncertainty in current estimates of CUE in land surface models (between 0.4 and 0.6) could misrepresent an amount of carbon equal to total annual anthropogenic emissions of CO 2 when scaled globally (De Lucia et al., 2007). "Bottom up" measurements of CUE and allocation are rare because they require separate monthly measurements of leaf, wood, and fine root growth (total NPP) and leaf, wood and rhizosphere respiration (total autotrophic respiration) at the same site. It is also important to make these measurements during periods of perturbation such as mega-drought (Williams et al., 2020) and disturbances such as forest thinning (Amiro et al., 2010) to provide empirical data to parameterize and test the models against. Restoration of high-elevation dry western US forests to their historic lower stand density present before widespread fire suppression efforts is an increasingly important management goal (Covington et al., 1997). Between 1637 and 1883, the historic fire return interval was 3.7 years for all fires and 6.5 years for widespread fires in the southwestern ponderosa pine landscape (Fulé et al., 1997). The fires were previously Abstract A better understanding of carbon use efficiency (CUE) and carbon allocation during disturbance is critical to improve simulations of the global carbon cycle and understanding future climate impacts. Forest thinning of high-stem density, high elevation dry western US forests is becoming more common to reduce severe fire danger but there are uncertainties about how forest thinning may impact forest CUE, carbon allocation and energy flow through the food chain. In three, quarter ha stands with similar soils, elevation and climate along a forest thinning gradient near Flagstaff (AZ), we measured total net primary production (NPP of wood, fine root, and leaves), total autotrophic respiration (R a of wood, rhizosphere, and canopy respiration), gross primary production (GPP = NPP + R a) and large mammal herbivory (with camera traps and dung counts) over a ∼2-year period. We found strong seasonality in all carbon cycling...