The phenomenon of "significant initial effectiveness but gradual decline in later-stage benefits" in soil erosion control constrains the sustainability of integrated soil-water conservation measures. To further improve the effectiveness of regional governance, this study selected Lanping County in the Southwest Alpine Canyon Area as a case study. From a nature-society perspective, an evaluation system incorporating 11 indicators was established. The weights of evidence model, Logistic regression model, and evidence-Logistic regression coupling model were applied to quantitatively assess the suitability of slope terrace measures and economic fruit forest measures in Lanping County, and to investigate their spatial distribution patterns and class interval proportions. To comprehensively and objectively reveal the suitability of integrated soil-water conservation measures at the county scale. Key findings included: (1) Pearson correlation analysis and VIF methods were applied to verify the independence of all 11 indicators in single-model contexts. The driving factor analysis shows that each indicator has a certain explanatory power under the bivariate driving of nature-society. In concrete terms, the suitability of slope terraces measures is dominated by three factors, soil erodibility, slope and distance from water, and the suitability of economic fruit forest measures is primarily co-driven by slope, land use types and distance from water. (2) The impact of natural environmental factors is significantly higher than that social development factors, and the two factors synergistically achieve the mechanism of "natural background constraint-social regulation feedback", together to promote the effective protection of soil-water resources. (3) Model validation demonstrated that all three models effectively reflected the actual suitability of integrated measures. Notably, the evidence-Logistic regression coupling model significantly enhances the accuracy and robustness of model evaluation through multi-source data fusion and multi-dimensional parameter collaborative analysis, and its evaluation results are more in line with the actual situation. (4) The suitability of soil-water conservation measures in Lanping County exhibited distinct spatial clustering of high and low value zones, formed a composite space pattern of gathering-extension. Under all three models, over 90% of the integrated measures met or exceeded the suitability threshold. Specifically, the evidence-Logistic regression coupling model achieved the highest suitability proportion at 95.9%. Moreover, the three models demonstrate consistent suitability evaluation trends, all showing the proportion of suitable zones for integrated soil-water conservation measures increases progressively with rising suitability levels. This research provided novel insights for optimizing county-scale soil-water conservation strategies and scientific support for mitigating regional soil erosion and ecological degradation.