9 citations as recorded by crossref.

1. Advances in crop growth modeling: A review of perennial crop and beneficial soil microorganism approaches L. Ech-Chatir et al. https://doi.org/10.1016/j.agwat.2025.109548
2. Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. https://doi.org/10.1029/2022MS003171
3. Increased precipitation over land due to climate feedback of large-scale bioenergy cultivation Z. Li et al. https://doi.org/10.1038/s41467-023-39803-9
4. Dynamic modelling shows substantial contribution of ecosystem restoration to climate change mitigation E. Littleton et al. https://doi.org/10.1088/1748-9326/ac3c6c
5. Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation A. Argles et al. https://doi.org/10.1038/s41598-023-39810-2
6. Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. https://doi.org/10.1371/journal.pclm.0000068
7. How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
8. Peatland-VU-NUCOM (PVN 1.0): using dynamic plant functional types to model peatland vegetation, CH4, and CO2 emissions T. Lippmann et al. https://doi.org/10.5194/gmd-16-6773-2023
9. Drought Response in Miscanthus: Breeding Increases Radiation and Water Use Efficiency Over Three Contrasting Years in Central Germany D. Awty‐Carroll et al. https://doi.org/10.1111/gcbb.70086