journal article·2026-02Open access

Compartmentalized Homeostasis Drives High Bamboo Forest Productivity under Nutrient Imbalance

Zhikang Wang, Quan Li, Man Shi, Marcio F.A. Leite, Xinli Chen, Eiko E. Kuramae, Viviane Cordovez, Tingting Cao, Chenglei Zhu, Libin Zhou, Wenjuan Yu, Zhiyao Tang, Changhui Peng, Xinzhang Song

Advanced Science· Volume 13· Issue 11

Abstract

Abstract Stoichiometric homeostasis, the ability to maintain internal nutrient balance, is central to plant fitness under soil nutrient variability. While traditionally viewed as static, emerging theory posits that it is a conditionally flexible trait, though empirical evidence is scarce. Through large‐scale field investigations, nutrient additions, and data synthesis, this study shows that Moso bamboo ( Phyllostachys edulis ), a fast‐growing plant species, employs a unique compartmentalized homeostasis strategy by decoupling nitrogen (N) and phosphorus (P) regulation across tissues. It achieves strict N:P homeostasis in leaves while allowing P flexibility in woody tissues to serve as reservoirs that buffer leaves from soil P limitation and microbial competition. This mechanism, consistently observed in bamboo across wide geographical and soil nutrient gradients, yields lower leaf N:P variability than 75 out of 91 co‐occurring tree species, can be one of the critical factors for sustaining ≈25% higher annual productivity than other forests (including evergreen‐broadleaf, deciduous‐broadleaf, and coniferous forests). These findings reconcile classical views of stoichiometric homeostasis and plasticity by demonstrating a flexible, compartmentalized mechanism that resolves growth‐stability conflicts. Recognizing such flexible strategy advances the understanding of eco‐evolutionary feedbacks in ecosystem stoichiometry and improves predictions of species adaptability, nutrient cycling, and carbon sequestration under global change.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Plant nutrient uptake and metabolism · Soil Carbon and Nitrogen Dynamics · Plant Water Relations and Carbon Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory for Development and Utilization of Forest Food Resources Zhejiang A&F University Hangzhou 311300 China

Swammerdam Institute for Life Sciences (SILS) University of Amsterdam Amsterdam 1012 WP The Netherlands

Department of Microbial Ecology Netherlands Institute of Ecology (NIOO‐KNAW) Wageningen 6708 PB The Netherlands

State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing 211135 China

State Key Laboratory for Vegetation Structure, Function and Construction (VegLab), Institute of Ecology, College of Urban and Environmental Sciences Peking University Beijing 100871 China

Department of Biology Sciences, Institute of Environment Sciences University of Quebec at Montreal Montreal Quebec H2×3J8 Canada

Funding

National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

References (64)

Show source-provided references
1. 10.1515/978140088569510.1515/9781400885695 ↗
2. 10.1111/1365-2745.1388410.1111/1365-2745.13884 ↗
3. 10.1038/nature0245410.1038/nature02454 ↗
4. 10.1111/j.1461-0248.2010.01532.x10.1111/j.1461-0248.2010.01532.x ↗
5. 10.1038/s41467-021-24889-w10.1038/s41467-021-24889-w ↗
6. 10.1111/1365-2435.1270710.1111/1365-2435.12707 ↗
7. 10.1111/j.1469-8137.2012.04234.x10.1111/j.1469-8137.2012.04234.x ↗
8. 10.1111/j.1600-0706.2009.18545.x10.1111/j.1600-0706.2009.18545.x ↗
9. 10.1890/14-1897.110.1890/14-1897.1 ↗
10. 10.5194/essd-13-5337-202110.5194/essd-13-5337-2021 ↗
11. 10.1038/3504605810.1038/35046058 ↗
12. 10.1111/j.1469-8137.2004.01192.x10.1111/j.1469-8137.2004.01192.x ↗
13. 10.1111/j.1600-0706.2009.18549.x10.1111/j.1600-0706.2009.18549.x ↗
14. 10.1007/s00468-018-1719-710.1007/s00468-018-1719-7 ↗
15. 10.1002/ecy.390910.1002/ecy.3909 ↗
16. 10.1016/j.ecolind.2022.10963510.1016/j.ecolind.2022.109635 ↗
17. López‐Sepulcre A. · Trends Ecol. Evol. · 2024
18. 10.1016/j.tree.2016.11.00610.1016/j.tree.2016.11.006 ↗
19. 10.1111/ele.7002510.1111/ele.70025 ↗
20. 10.1111/ele.7015210.1111/ele.70152 ↗
21. 10.1111/nph.1354710.1111/nph.13547 ↗
22. 10.1890/13-1671.110.1890/13-1671.1 ↗
23. 10.1111/plb.1215510.1111/plb.12155 ↗
24. 10.1086/68921210.1086/689212 ↗
25. 10.3389/fevo.2025.150514510.3389/fevo.2025.1505145 ↗
26. 10.1046/j.1461-0248.2003.00518.x10.1046/j.1461-0248.2003.00518.x ↗
27. 10.1038/s41467-024-52376-510.1038/s41467-024-52376-5 ↗
28. 10.1126/sciadv.aaw579010.1126/sciadv.aaw5790 ↗
29. 10.1016/j.agrformet.2017.09.00110.1016/j.agrformet.2017.09.001 ↗
30. 10.1002/ecm.162110.1002/ecm.1621 ↗
31. 10.1038/s41559-020-01348-110.1038/s41559-020-01348-1 ↗
32. 10.1016/j.ecolmodel.2022.11001810.1016/j.ecolmodel.2022.110018 ↗
33. 10.1038/s41559-018-0662-810.1038/s41559-018-0662-8 ↗
34. 10.1093/hr/uhaf06210.1093/hr/uhaf062 ↗
35. R.Fan X.Zhu Z.Chen G.Yu W.Zhang L.Han A dataset of annual gross primary productivity over Chinese terrestrial ecosystems during 2000–20202023.
36. 10.1038/s41467-024-49665-410.1038/s41467-024-49665-4 ↗
37. 10.1093/nsr/nwx14210.1093/nsr/nwx142 ↗
38. 10.5194/essd-13-5337-202110.5194/essd-13-5337-2021 ↗
39. 10.1073/pnas.170029511410.1073/pnas.1700295114 ↗
40. 10.1111/j.1461-0248.2007.01113.x10.1111/j.1461-0248.2007.01113.x ↗
41. 10.3389/fpls.2021.66163510.3389/fpls.2021.661635 ↗
42. 10.1016/j.envexpbot.2022.10490010.1016/j.envexpbot.2022.104900 ↗
43. 10.1111/jipb.1382710.1111/jipb.13827 ↗
44. 10.1111/nph.1408310.1111/nph.14083 ↗
45. 10.1007/s10533-017-0349-210.1007/s10533-017-0349-2 ↗
46. 10.1016/j.micres.2024.12777610.1016/j.micres.2024.127776 ↗
47. 10.1111/ele.1420910.1111/ele.14209 ↗
48. 10.1111/gcb.1695910.1111/gcb.16959 ↗
49. 10.1007/s00248-021-01814-810.1007/s00248-021-01814-8 ↗
50. 10.1038/s41586-024-07491-010.1038/s41586-024-07491-0 ↗
51. 10.1088/1748-9326/abd5e110.1088/1748-9326/abd5e1 ↗
52. 10.1111/geb.1257610.1111/geb.12576 ↗
53. 10.1007/s11104-021-05028-210.1007/s11104-021-05028-2 ↗
54. 10.1002/ecy.265210.1002/ecy.2652 ↗
55. 10.1016/j.tree.2022.10.00310.1016/j.tree.2022.10.003 ↗
56. 10.1093/jxb/50.330.2910.1093/jxb/50.330.29 ↗
57. 10.1073/pnas.230498812010.1073/pnas.2304988120 ↗
58. 10.1002/ecy.378910.1002/ecy.3789 ↗
59. 10.1016/j.foreco.2019.11763710.1016/j.foreco.2019.117637 ↗
60. 10.1078/1433-8319-000002210.1078/1433-8319-0000022 ↗
61. 10.1016/j.hpj.2023.11.00710.1016/j.hpj.2023.11.007 ↗
62. 10.1006/meth.2001.126210.1006/meth.2001.1262 ↗
63. Zhou G. · Scientia Silvae Sinicae · 2011 · 47 · 1
64. 10.1111/jipb.1354510.1111/jipb.13545 ↗