| Abstract: | Aim Data on spatial and temporal turnover in species composition within a region is essential to design regional protected areas. Montane systems are often recognized as biodiversity hotspots. The primary objective of this study is to identify patterns of montane bird diversity across multiple spatial and temporal scales using an additive diversity partitioning framework. Location The Ailao Mountains, central Yunnan Province, China. Methods We used point counts to sample bird communities in four elevational zones, on eastern and western slopes, during both the breeding and the non‐breeding seasons. Diversity (richness and Shannon) was partitioned across space (points, elevational zones and slopes) and time (seasons). We used permutation tests to compare observed values to values expected by random chance. A complementary cluster analysis was also used to evaluate beta diversity. Results Overall, the gamma diversity was attributed to significantly higher beta diversity (relative to that of randomization tests) among elevational zones and, to a lesser extent, between slopes. For Shannon–Wiener Index, beta diversity between seasons was significantly higher than expected and had a similar contribution to the gamma diversity as with beta diversity between slopes. Hierarchical cluster analysis supported the findings for Shannon–Wiener Index. The contribution of beta diversity among points to gamma diversity within each elevational zone generally lessened with increasing elevation. Main conclusions Our results show significantly high levels of beta diversity among elevational zones and between slopes, as well as between seasons for Shannon diversity, in a small area of the Ailao Mountain range. Thus, a regional montane reserve system should cover the entire elevational gradient and multiple slopes, rather than only the montane crest. Furthermore, higher pattern diversity in lower elevational zones suggests that larger areas should be preserved at lower elevational zones. Finally, the design of regional reserve systems require more studies conducted at multiple seasons at a regional scale. |
