journal article·2026-02Open access

Long‐Term Active Rather than Passive Restoration Promotes Soil Organic Carbon Accumulation by Alleviating Microbial Nitrogen Limitation in an Extremely Degraded Alpine Grassland

Jinchao Gong, Feida Sun, Jingjing Wu, Shijie Zhou, Yue Xiu, Linlin Li, Tahmina Kausar, Zhouwen Ma, Jiqiong Zhou, Lin Liu, Yongxing Cui, Jordi Sardans, Josep Peñuelas, Ahmed Elrys, Ji Chen, Yanfu Bai

Advanced Science· Volume 13· Issue 9

Abstract

Abstract Grassland degradation disrupts microbial nutrient cycling, yet the role of nitrogen (N) limitation in regulating soil organic carbon (SOC) dynamics during restoration remains poorly understood. Here, 10 years of active (sowing of seeds of native plants) and passive restoration (sand barrier protection) in degraded grasslands on the Qinghai–Tibetan Plateau are compared. Restoration impacts are assessed by integrating microbial metabolic traits such as stoichiometry‐based nutrient limitation and C use efficiency (CUE ST ) with SOC fractionation, which considers both POC and MAOC). Active restoration reduces microbial N limitation by 44–71%, driving a 291–467% increase in SOC stocks, from 0.81 to 3.15 kg m −2 in topsoil and 0.54 to 3.08 kg m −2 in subsoil. It also reduces CUE ST by 54% in topsoil and 34% in subsoil, boosting POC by 483–557% and MAOC by 621–1,071%. MAOC dominates SOC accumulation, exceeding POC by 2.3–7.2 times. The CUE ST reduction aids POC transformation into MAOC, stabilizing SOC storage. In contrast, passive restoration slightly reduces N limitation by 36–39% and CUE ST by 10–23%, but failed to enhance C fractions or SOC stocks due to persistent nutrient constraints. The findings demonstrate that alleviating microbial N limitation by active restoration is critical for stabilizing SOC through MAOC accumulation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Soil Carbon and Nitrogen Dynamics · Microbial Community Ecology and Physiology · Biocrusts and Microbial Ecology

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

Affiliations

College of Grassland Science & Technology Sichuan Agricultural University Chengdu Sichuan 611130 P. R. China

Institute of Biology Freie Universität Berlin 14195 Berlin Germany

CSIC Global Ecology Unit CREAF‐ CSIC‐UAB Bellaterra 08193 Catalonia Spain

CREAF Cerdanyola del Vallès Barcelona 08193 Catalonia Spain

College of Agriculture University of Al Dhaid Al Dhaid Sharja United Arab Emirates

College of Tropical Agriculture and Forestry Hainan University Haikou Hainan 570228 China

State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi'an Shaanxi 710061 P. R. China

Funding

National Natural Science Foundation of China · State Administration of Foreign Experts Affairs · Natural Science Foundation of Sichuan Province · State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University

References (72)

Show source-provided references
1. 10.1046/j.1365-2486.1998.00151.x10.1046/j.1365-2486.1998.00151.x ↗
2. FAO · 2022
3. 10.1007/s12665-014-3322-610.1007/s12665-014-3322-6 ↗
4. 10.1016/j.rama.2019.06.00110.1016/j.rama.2019.06.001 ↗
5. 10.1126/science.abo238010.1126/science.abo2380 ↗
6. 10.1038/s43247-023-00737-110.1038/s43247-023-00737-1 ↗
7. 10.1111/rec.1268210.1111/rec.12682 ↗
8. 10.1111/rec.1322910.1111/rec.13229 ↗
9. 10.1029/2025EF00602110.1029/2025EF006021 ↗
10. 10.1371/journal.pone.017136810.1371/journal.pone.0171368 ↗
11. 10.1016/j.soilbio.2020.10792810.1016/j.soilbio.2020.107928 ↗
12. 10.1016/j.soilbio.2022.10881210.1016/j.soilbio.2022.108812 ↗
13. 10.1038/s41467-019-08636-w10.1038/s41467-019-08636-w ↗
14. 10.1038/s41586-023-06042-310.1038/s41586-023-06042-3 ↗
15. 10.1016/j.soilbio.2009.02.03110.1016/j.soilbio.2009.02.031 ↗
16. 10.1111/j.1469-8137.2012.04225.x10.1111/j.1469-8137.2012.04225.x ↗
17. 10.1007/s11104-023-06030-610.1007/s11104-023-06030-6 ↗
18. 10.1016/j.geoderma.2025.11726210.1016/j.geoderma.2025.117262 ↗
19. Xu Q. · Mbio · 2024 · 15
20. 10.1002/ldr.219710.1002/ldr.2197 ↗
21. Lu Q. · Front. Plant Sci. · 2023 · 14 · 2023
22. 10.1016/j.jenvman.2024.12367510.1016/j.jenvman.2024.123675 ↗
23. 10.1186/s13021-025-00305-410.1186/s13021-025-00305-4 ↗
24. 10.1038/s41467-025-55980-110.1038/s41467-025-55980-1 ↗
25. 10.1890/15-2110.110.1890/15-2110.1 ↗
26. 10.1016/j.soilbio.2022.10867710.1016/j.soilbio.2022.108677 ↗
27. 10.1016/j.soilbio.2015.10.01910.1016/j.soilbio.2015.10.019 ↗
28. 10.7717/peerj.1042810.7717/peerj.10428 ↗
29. 10.1016/j.soilbio.2021.10834510.1016/j.soilbio.2021.108345 ↗
30. 10.1007/s40333-024-0021-310.1007/s40333-024-0021-3 ↗
31. 10.1016/j.soilbio.2017.09.02510.1016/j.soilbio.2017.09.025 ↗
32. Wang D. · Front. Plant Sci. · 2022 · 13 · 2022
33. 10.3389/fmicb.2013.0022310.3389/fmicb.2013.00223 ↗
34. 10.1016/j.apsoil.2023.10522810.1016/j.apsoil.2023.105228 ↗
35. 10.1016/j.scitotenv.2024.17433710.1016/j.scitotenv.2024.174337 ↗
36. 10.1016/j.foreco.2008.01.00610.1016/j.foreco.2008.01.006 ↗
37. 10.1016/j.jhydrol.2022.12773010.1016/j.jhydrol.2022.127730 ↗
38. 10.1016/j.soilbio.2019.01.01210.1016/j.soilbio.2019.01.012 ↗
39. 10.1016/j.scitotenv.2021.14856910.1016/j.scitotenv.2021.148569 ↗
40. 10.1111/gcb.1478110.1111/gcb.14781 ↗
41. 10.5194/bg-15-5929-201810.5194/bg-15-5929-2018 ↗
42. 10.1007/s10533-016-0191-y10.1007/s10533-016-0191-y ↗
43. 10.1111/gcb.1348910.1111/gcb.13489 ↗
44. 10.1111/gcb.1477710.1111/gcb.14777 ↗
45. 10.1016/j.soilbio.2016.08.00210.1016/j.soilbio.2016.08.002 ↗
46. 10.1016/j.still.2023.10577010.1016/j.still.2023.105770 ↗
47. 10.1016/j.soilbio.2020.10770810.1016/j.soilbio.2020.107708 ↗
48. 10.1016/j.scitotenv.2023.16407110.1016/j.scitotenv.2023.164071 ↗
49. Wang C. · Front. Environ. Sci. · 2021 · 9 · 2021
50. 10.1038/s41396-019-0543-410.1038/s41396-019-0543-4 ↗
51. 10.1016/j.jenvman.2013.05.05810.1016/j.jenvman.2013.05.058 ↗
52. 10.3390/su1203097710.3390/su12030977 ↗
53. 10.5194/soil-11-233-202510.5194/soil-11-233-2025 ↗
54. 10.1002/advs.20230817610.1002/advs.202308176 ↗
55. 10.1007/s13157-018-0992-y10.1007/s13157-018-0992-y ↗
56. IUSS Working Group · 2022
57. Li Y. · Front. Plant Sci. · 2023 · 14 · 2023
58. 10.1371/journal.pone.021697510.1371/journal.pone.0216975 ↗
59. 10.1016/j.jhazmat.2020.12398210.1016/j.jhazmat.2020.123982 ↗
60. 10.1016/j.soilbio.2018.10.01810.1016/j.soilbio.2018.10.018 ↗
61. 10.1016/j.catena.2018.09.01910.1016/j.catena.2018.09.019 ↗
62. 10.1097/00010694-194501000-0001510.1097/00010694-194501000-00015 ↗
63. 10.1097/00010694-193401000-0000310.1097/00010694-193401000-00003 ↗
64. 10.2136/sssaj1992.03615995005600030017x10.2136/sssaj1992.03615995005600030017x ↗
65. 10.1111/gcb.1250810.1111/gcb.12508 ↗
66. 10.1016/0038-0717(85)90144-010.1016/0038-0717(85)90144-0 ↗
67. 10.1016/0038-0717(90)90046-310.1016/0038-0717(90)90046-3 ↗
68. 10.1111/j.1461-0248.2008.01245.x10.1111/j.1461-0248.2008.01245.x ↗
69. 10.1002/ldr.431810.1002/ldr.4318 ↗
70. 10.59717/j.xinn-geo.2024.10004810.59717/j.xinn-geo.2024.100048 ↗
71. 10.1146/annurev-ecolsys-071112-12441410.1146/annurev-ecolsys-071112-124414 ↗
72. 10.1017/CBO978051161779910.1017/CBO9780511617799 ↗