Bacterial communities play key roles in maintaining ecosystem multifunctionality. With increasing land use intensity, soil biogeochemical and microbial characteristics change significantly and may affect the multifunctionality of ecosystems. The relationship between soil microbial communities and resistance of multiple ecosystem functions under land-use change has not previously been assessed in the karst regions. Soils from four karst ecosystems (primary forest, secondary forest, abandoned land and cultivated land) were analyzed for microbial communities as predictor of multifunctional resistance to land use change by using high-throughput sequencing, structural equation modeling and random forest modeling. We evaluated the multifunctional resistance of soil ecosystems by measuring indicators related to soil carbon, nitrogen and phosphorus cycling. The resistance of Proteobacteria was the highest in the secondary forest, and that of Verrucomicrobia was the highest in the abandoned and cultivated lands. With increasing land-use intensity, C-cycling functional resistance decreased by 77% and nitrogen functional resistance increased by 17% in the abandoned land, compared with those in the secondary forest. Bacterial communities had the largest direct positive effect on multifunctional resistance and N-related functional resistance. Among bacterial communities, Verrucomicrobia and Chloroflexi were the two most important phyla that affected soil multifunctional resistance. Armatimonadetes_unclassified, Chloroflexia and OPB35_soil_group were the best predictor of total organic carbon, total nitrogen and total phosphorus content, respectively. Our results suggested strong links between microbial community composition and multifunctional resistance in various karst ecosystems, and provided insights into the importance of microbial community composition in the recovery of ecosystems following human intervention.

细菌群落在维持生态系统的多功能性中起关键作用。随着土地利用强度的增加，土壤生物地球化学和微生物特征发生显着变化，并可能影响生态系统的多功能性。喀斯特地区以前尚未评估土壤微生物群落与土地利用变化下多种生态系统功能的抵抗之间的关系。通过使用高通量排序，结构方程建模和随机森林建模，分析了来自四个喀斯特生态系统（原始森林，次生森林，荒地和耕地）的土壤中的微生物群落，以作为多功能抗土地利用变化的指标。我们通过测量与土壤碳相关的指标，评估了土壤生态系统的多功能抵抗力，氮和磷循环。在次生林中，变形杆菌的抵抗力最高，而在荒地和耕地中，维氏微生物菌的抵抗力最高。与次生林相比，随着土地利用强度的增加，荒地的C循环功能抗性降低77％，氮功能抗性提高17％。细菌群落对多功能抗性和N相关功能抗性具有最大的直接正面影响。在细菌群落中，Verrucomicrobia和Chloroflexi是影响土壤多功能抗性的两个最重要的门。未分类的Armatimonadetes，绿反射菌和OPB35_soil_group分别是总有机碳，总氮和总磷含量的最佳预测指标。