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Questions: Increasingly, studies have demonstrated that not only environmental factors but also socioeconomic factors are important in determining species richness patterns. However, few studies have explored their effects on beta diversity. Here, we aimed to answer two questions based on woody species composition in a number of geographical administrative divisions: (1) how does beta diversity change with socioeconomic and environmental factors; and (2) what is the relative importance of socioeconomic and environmental factors in driving beta diversity of woody species? Location: Eastern China. Methods: We used abundance‐based beta diversity (Bray–Curtis) and species accumulation rate to quantify beta diversity of woody species of 20 counties in eastern China. Linear regression models were used to test the relationships between beta diversity and socioeconomic and environmental factors. The relative importance of socioeconomic and environmental factors in driving beta diversity was investigated using the variation partitioning method. Results: We found that elevation, annual precipitation, and location significantly affected species composition. Species accumulation rate increased significantly with Gross Domestic Product (GDP), GDP per capita and human population density, and decreased with forest cover, topographic and climatic heterogeneity. In addition, abundance‐based beta diversity increased significantly with human population density. Moreover, socioeconomic factors, topographic and climatic heterogeneity independently explained 25%, 15%, and 1% of abundance‐based beta diversity separately. Conclusion: Socioeconomic factors may have significant effects on beta diversity patterns of woody plants. Our study highlights the urgent need to consider socioeconomic factors when exploring large‐scale biodiversity patterns in human‐dominated landscapes and formulating related forest management strategies. [ABSTRACT FROM AUTHOR]

Non-commercial forests represent important habitats for the maintenance of biodiversity and ecosystem function in China, yet no studies have explored the patterns and determinants of plant biodiversity in these human dominated landscapes. Here we test the influence of (1) forest type (pine, mixed, and broad-leaved), (2) disturbance history, and (3) environmental factors, on tree species richness and composition in 600 study plots in eastern China. In total, we found 143 species in 53 families of woody plants, with a number of species rare and endemic in the study region. Species richness in mixed forest and broad-leaved forest was higher than that in pine forest, and was higher in forests with less disturbance. Species composition was influenced by environment factors in different ways in different forest types, with important variables including elevation, soil depth and aspect. Surprisingly, we found little effect of forest age after disturbance on species composition. Most non-commercial forests in this region are dominated by species poor pine forests and mixed young forests. As such, our results highlight the importance of broad-leaved forests for regional plant biodiversity conservation. To increase the representation of broad-leaved non-commercial forests, specific management practices such as thinning of pine trees could be undertaken. [ABSTRACT FROM AUTHOR]