Data and code for the manuscript entitled "Water use complementarity in old-growth mixed forests versus competition in younger successional mixed forests"

(1) DescriptionThe main text of the manuscript “Water use complementarity in old-growth mixed forests versus competition in younger successional mixed forests” accepted in Agricultural and Forest Meteorology includes seven figures. The corresponding data and code for each figure are provided here. Any comments and suggestions are welcome and may be directed to [e-mail] or [e-mail].(2) Citation for the data and code: Huang Ru, Meier Wolfgang Jens-Henrik, Bräuning Achim, Fu Peili, Fan Zexin, Aryal Sugam, Arsalani Mohsen, Zhu Haifeng, Xu Chenxi, Liang Eryuan, Sigdel Shalik Ram, Grießinger Jussi (2026) Water use complementarity in old-growth mixed forests versus competition in younger successional mixed forests. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2026.111226. (3) Acknowledgements This research was funded by the projects from DFH, NSFC as well as others. We deeply appreciate the editor and reviewers for helpful comment and suggestions to improve the quality of this work. We are deeply grateful to Prof. Yafeng Wang (Nanjing Forestry University, China) for his valuable suggestions, and Dr. Masaki Sano for kindly providing the larch tree-ring isotope data from Wache in the NOAA website. We also thank Dr. Soumaya Belmecheri (Laboratory of Tree-Ring Research, University of Arizona, USA) for providing the R code for tree-ring oxygen isotope modelling (https://zenodo.org/records/6741957). We sincerely thank Dr. Camille Risi for generously providing the LMDZ4iso outputs in SWING2, and we are grateful to Iris Burchardt, Roswitha Höfner-Stich (University of Erlangen-Nuremberg) for their valuable contributions to the laboratory work. We gratefully acknowledge the Global Network of Isotopes in Precipitation (GNIP), jointly operated by the International Atomic Energy Agency and the World Meteorological Organization, for providing the precipitation isotope data used in this study to validate the model simulations.