Distribution of geographically restricted and evolutionarily unique species and its underlying drivers is key to understand evolutionary patterns and conserve biodiversity. However, few studies have simultaneously tested the associations of biotic interactions, environmental heterogeneity, contemporary and paleo-climate, species traits, and human activities with patterns of bird endemism. Here, we quantified the geographic distribution patterns and drivers of species and phylogenetic endemism of 1127 bird species in China. The results showed that species and phylogenetic endemism of Chinese birds was higher in western China, especially in northwestern and southwestern China. Higher plant species richness, altitudinal range, net primary productivity, and lower temperature seasonality were associated with higher species and phylogenetic endemism. In addition, altitudinal range and net primary productivity can also indirectly influence species and phylogenetic endemism by directly affecting plant species richness. This may be because greater altitudinal range could foster more diverse habitats, and higher net primary productivity could ensure abundant food resources. Notably, species and phylogenetic endemism were also negatively associated with clutch size and cropland area. These findings identify that northwestern and southwestern China have the highest evolutionary and biogeographical uniqueness of bird assemblages, and provide insights into the evolutionary underpinnings of biogeographical patterns in Chinese birds. Meanwhile, it is crucial to conserve plant diversity, focus on groups with specific traits, and reduce human activities to better protect bird diversity.
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Open Access
Research Article
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Waterbirds are vital for wetland ecosystems, but climate change and human activities are harming these habitats globally, reducing biodiversity and threatening waterbird survival. In China, wetlands in humid and arid regions face quite different threats, necessitating targeted conservation strategies. However, few studies have assessed the relative roles of various drivers in determining geographical patterns of alpha and beta diversity of wetland waterbirds in different regions, particularly from the perspectives of taxonomic, phylogenetic and functional diversity. This study aims to connect climate and landscape variables with waterbirds diversity in 71 wetlands across China's humid and arid regions. The results showed that mean annual temperature was negatively associated with taxonomic diversity but positively correlated with phylogenetic structure. Phylogenetic and functional diversity was significantly associated with paleoclimate change. Additionally, patch richness was positively correlated with taxonomic diversity and functional structure, but negatively correlated with phylogenetic diversity and structure. Notably, taxonomic and phylogenetic beta diversity was dominated by turnover, while functional beta diversity was dominated by nestedness-resultant components. Total edge and patch density were significantly correlated with waterbird beta diversity. In addition, arid regions showed higher turnover in taxonomic and phylogenetic diversity compared to humid regions. Compared to arid regions, humid regions had consistently higher nestedness-resultant components in the three diversity dimensions and higher turnover in functional beta diversity. These findings indicated that while climate variables are important for waterbird diversity patterns, wetland's landscape characteristics could also play significant roles. In addition, conservation of Chinese wetland bird diversity should consider unique strategies for different biodiversity dimensions as well as for different regions.
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Biological specimens are fundamental for taxonomy and flora/fauna research. More importantly, they also play crucial roles in recording environmental impacts on morphology and behavior, which is vital for biodiversity research and conservation. However, there are few systematic studies on the patterns and drivers of bird specimen number at regional scales. This study is the first attempt to examine the relationships between bird specimen number and species traits as well as climate niche breadth in China, aiming to answer two questions: 1) how do species' temperature niche breadth and precipitation niche breadth influence specimen number? 2) which trait is most associated with bird specimen number? The associations between bird specimen number and explanatory variables were examined using ordinary least squares, generalized linear models, phylogenetic generalized linear mixed models, and multiple comparisons. The results showed that Muscicapidae was the family with the highest specimen number, and Passeriformes was the order with the highest specimen number. Bird specimen number significantly increased with larger temperature niche breadth and precipitation niche breadth. Specimen number was also positively associated with geographic range size, habitat specificity, hunting vulnerability and clutch size, but negatively associated with body size. These findings suggest that future bird specimen collection should pay more attention to birds with limited ecological niches, large body sizes, and small clutch sizes. This research enhances the use of bird specimen data to study and preserve biodiversity.
Open Access
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Although urbanization is threatening biodiversity worldwide, the increasing green urban spaces could harbor relatively high biodiversity. Therefore, how to maintain the biodiversity in urban ecosystem is crucial for sustainable urban planning and management, especially in arid and semiarid regions with relatively fragile environment and low biodiversity. Here, for the first time we linked species richness, phylogenetic and functional structure of bird assemblages in university campuses in northern China with plant species richness, glacial-interglacial climate change, contemporary climate, and anthropogenic factors to compare their relative roles in shaping urban bird diversity.
Bird surveys were conducted in 20 university campuses across Inner Mongolia, China. Ordinary least squares models and simultaneous autoregressive models were used to assess the relationships between bird species richness, phylogenetic and functional structure with environmental factors. Structural equation models were used to capture the direct and indirect effects of these factors on the three components of bird diversity.
Single-variable simultaneous autoregressive models showed that mean annual precipitation was consistently a significant driver for bird species richness, phylogenetic and functional structure. Meanwhile, mean annual temperature and plant species richness were also significant predictors for bird species richness.
This study suggests that campuses with warmer and wetter climate as well as more woody plant species could harbor more bird species. In addition, wetter campuses tended to sustain over-dispersed phylogenetic and functional structure. Our findings emphasize the dominant effect of precipitation on bird diversity distribution in this arid and semiarid region, even in the urban ecosystem.
Open Access
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Geographical distribution of endemic species and its multiple scale drivers are an important topic in biodiversity conservation, because these species are especially vulnerable to climate change and habitat degradation, and therefore have high conservation priority. Here, for the first time, we simultaneously linked glacial-interglacial climate change, contemporary climate, plant species richness and altitudinal range with endemic bird distribution in China.
Ordinary least squares models and simultaneous autoregressive models were used to assess the associations between endemic bird richness, endemic bird ratio and each explanatory variable. Structural Equation Models were also performed to test the direct and indirect effects of these variables on endemic bird richness and endemic bird ratio.
Higher endemic bird richness and endemic bird ratio occurred in regions with stable glacial-interglacial temperature, i.e., southwest China. Plant species richness and altitudinal range were also positively correlated with endemic bird richness and endemic bird ratio. Glacial-interglacial temperature change, contemporary precipitation, plant species richness and altitudinal range were all included in the best combination of variables for endemic bird richness. Importantly, glacial-interglacial temperature change had strong direct effects on both endemic bird richness and endemic bird ratio, while plant species richness only had a direct effect on endemic bird richness.
Our results indicate that endemic birds in China concentrate in southwest regions where there are stable glacial-interglacial temperature, more plant species and larger altitudinal range. Notably, while stable climate has strong direct effects on both endemic bird richness and endemic bird ratio, plant species may affect endemic bird richness through its effect on overall bird species richness. Importantly, the recent anthropogenic activities have also significantly intensified in this region, which would pose huge challenge for biodiversity conservation in China.
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