Land use change (LUC) alters the global carbon (C) stock, but our estimation of the alteration remains uncertain and is a major impediment to predicting the global C cycle. The uncertainty is partly due to the limited number and geographical bias of observations, and limited exploration of its predictors. Here we generated a comprehensive global database of 5,980 observations from 790 articles. The number of sites evaluated is at least seven times larger than in previous meta‐analyses. Our constrained estimates of different LUC's effects on soil organic C (SOC) and their variations across global climates reveal underestimation/overestimation in previous estimates. Converting forests and grasslands to croplands reduced SOC by 24.5% ± 1.53% (−11.03 ± 1.06 Mg ha⁻¹) and 22.7% ± 1.22% (−8.09 ± 0.67 Mg ha⁻¹), while 28.0% ± 1.56% (4.46 ± 0.42 Mg ha⁻¹) and 33.5% ± 1.68% (5.8 ± 0.38 Mg ha⁻¹) increases, respectively, were obtained in the reverse processes. Converting forests to grasslands decreased SOC by 2.1% ± 1.22% (−1.13 ± 0.44 Mg ha⁻¹), while the reverse process increased SOC by 18.6% ± 1.73% (3.31 ± 0.51 Mg ha⁻¹). Modeled relative importance of 10 drivers of LUC's impact on SOC revealed that higher initial SOC (iSOC) does not solely determine SOC loss in SOC‐negative LUC scenarios as previously proposed. Across four decades, reconverting croplands to forests and grasslands recovered only 49.5% (6.1 ± 0.51 Mg ha⁻¹) and 75.3% (7.0 ± 0.38 Mg ha⁻¹) of the iSOC, respectively, indicating the need for protecting C‐rich ecosystems. Our global data set advances information on LUC's effect on SOC and can be valuable to constrain Earth system models to reliably estimate global SOC stocks and plan climate change mitigation strategies.

Investigations on the density, diversity, and distribution of endophytic bacterial community associated with leaves of Cinnamomum camphora (L.) Presl. were carried out during three seasons using 16s rDNA high-throughput sequencing technology. Samples were collected from five species in Nanping (A, B, C, D, and E) and one from Fuqin (F) in the Fujian province, China in the months of April, July, and October (represented by 1, 2 and 3), indicating spring, summer, and early winter, respectively. Results from 16s rDNA sequences revealed 10,844,124 effective sequences. The highest OTUs (Operational taxonomic units) was highest in the A1 sample (1086), while the lowest was in C2 (509). Our observations showed that samples taken in October had the highest diversity of endophytes as indicated by the Shannon index (B3 = 5.3337), Chao1 (E3 = 1233.10), abundance-based coverage estimator (ACE) (A3 = 1764.72), and the Simpson indices of diversity (C3 = 0.1655) irrespective of the species. The order of the endophytes richness in the samples was April > July > October. The Ribosomal Database Project (RDP) classifier showed that the obtained sequences belonged to nine major phyla: Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Gemmatimonadetes, Acidobacteria, Planctomycetes, Chloroflexi, and Fusobacteria. Proteobacteria accounted for the highest proportion in each sample, ranging from 35.15% to 89.72%. These sequences belonged mainly to 10 orders: Rhizobiales, Clostridiales, Peseudomonadales, Burkholderiales, Bacteroidales, Enterobacteriales, Rhodocyclales, Sphingomonadales, Lactobacillales, and Bacillales. Also, other taxa with possible taxonomic statuses, which were unclassified, were present.