13 citations as recorded by crossref.

1. Description and validation of an intermediate complexity model for ecosystem photosynthesis and evapotranspiration: ACM-GPP-ETv1 T. Smallman & M. Williams https://doi.org/10.5194/gmd-12-2227-2019
2. Representing leaf and root physiological traits in CLM improves global carbon and nitrogen cycling predictions B. Ghimire et al. https://doi.org/10.1002/2015MS000538
3. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. https://doi.org/10.1111/nph.17558
4. Towards better representations of carbon allocation in vegetation: a conceptual framework and mathematical tool V. Ceballos-Núñez et al. https://doi.org/10.1007/s12080-020-00455-w
5. Redefining fine roots improves understanding of below‐ground contributions to terrestrial biosphere processes M. McCormack et al. https://doi.org/10.1111/nph.13363
6. Leaf Trait Plasticity Alters Competitive Ability and Functioning of Simulated Tropical Trees in Response to Elevated Carbon Dioxide M. Kovenock et al. https://doi.org/10.1029/2020GB006807
7. Ideas and perspectives: Allocation of carbon from net primary production in models is inconsistent with observations of the age of respired carbon C. Sierra et al. https://doi.org/10.5194/bg-19-3727-2022
8. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. https://doi.org/10.5194/bg-18-2727-2021
9. Effects of model structural uncertainty on carbon cycle projections: biological nitrogen fixation as a case study W. Wieder et al. https://doi.org/10.1088/1748-9326/10/4/044016
10. A global scale mechanistic model of photosynthetic capacity (LUNA V1.0) A. Ali et al. https://doi.org/10.5194/gmd-9-587-2016
11. Carbon storage in biomass, litter, and soil of different native and introduced fast-growing tree plantations in the South Caspian Sea J. Eslamdoust & H. Sohrabi https://doi.org/10.1007/s11676-017-0469-5
12. Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) R. Fisher et al. https://doi.org/10.5194/gmd-8-3593-2015
13. Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change A. Trugman et al. https://doi.org/10.1111/gcb.14814