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首页> 外文期刊>Avian research >Elevational patterns of bird species richness on the eastern slope of Mt. Gongga, Sichuan Province, China
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Elevational patterns of bird species richness on the eastern slope of Mt. Gongga, Sichuan Province, China

机译：山东坡鸟类物种丰富度的升高模式。中国四川省贡嘎

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Background In biological systems, biological diversity often displays a rapid turn-over across elevations. This defining feature has made mountains classic systems for studying the spatial variation in diversity. Because patterns of elevational diversity can vary among lineages and mountain systems it remains difficult to extrapolate findings from one montane region to another, or among lineages. In this study, we assessed patterns and drivers of avian diversity along an elevational gradient on the eastern slope of Mt. Gongga, the highest peak in the Hengduan Mountain Range in central China, and a mountain where comprehensive studies of avian diversity are still lacking. Methods We surveyed bird species in eight 400-m elevational bands from 1200 to 4400?m a.s.l. between 2012 and 2017. To test the relationship between bird species richness and environmental factors, we examined the relative importance of seven ecological variables on breeding season distribution patterns: land area (LA), mean daily temperature (MDT), seasonal temperature range (STR), the mid-domain effect (MDE), seasonal precipitation (SP), invertebrate biomass (IB) and enhanced vegetation index (EVI). Climate data were obtained from five local meteorological stations and three temperature/relative humidity smart sensors in 2016. Results A total of 219 bird species were recorded in the field, of which 204 were recorded during the breeding season (April–August). Species richness curves (calculated separately for total species, large-ranged species, and small-ranged species) were all hump-shaped. Large-ranged species contributed more to the total species richness pattern than small-ranged species. EVI and IB were positively correlated with total species richness and small-ranged species richness. LA and MDT were positively correlated with small-ranged species richness, while STR and SP were negatively correlated with small-ranged species richness. MDE was positively correlated with large-ranged species richness. When we considered the combination of candidate factors using multiple regression models and model-averaging, total species richness and large-ranged species richness were correlated with STR (negative) and MDE (positive), while small-ranged species richness was correlated with STR (negative) and IB (positive). Conclusions Although no single key factor or suite of factors could explain patterns of diversity, we found that MDE, IB and STR play important but varying roles in shaping the elevational richness patterns of different bird species categories. Model-averaging indicates that small-ranged species appear to be mostly influenced by IB, as opposed to large-ranged species, which exhibit patterns more consistent with the MDE model. Our data also indicate that the species richness varied between seasons, offering a promising direction for future work.
机译：背景技术在生物系统中，生物多样性通常表现出跨海拔的快速变化。这一定义特征使山脉成为研究多样性空间变化的经典系统。由于海拔多样性的模式在谱系和山地系统之间可能会有所不同，因此仍然很难将发现从一个山地地区推断到另一个山地地区或在谱系之间​​。在这项研究中，我们评估了山东坡上沿海拔梯度的鸟类多样性的模式和驱动因素。贡嘎是中国中部横断山脉的最高峰，也是一个尚缺乏鸟类多样性综合研究的山峰。方法我们在海拔1200至4400？m.a.s.l。的八个400米高程带中调查了鸟类。在2012年至2017年之间。为了检验鸟类物种丰富度与环境因素之间的关系，我们研究了七个生态变量对繁殖季节分布模式的相对重要性：土地面积（LA），平均每日温度（MDT），季节性温度范围（STR） ），中域效应（MDE），季节性降水（SP），无脊椎动物生物量（IB）和增强的植被指数（EVI）。 2016年从五个地方气象站和三个温度/相对湿度智能传感器获得了气候数据。结果在田间总共记录了219种鸟类，其中在繁殖季节（4月至8月）记录了204种。物种丰富度曲线（分别针对总物种，大范围物种和小范围物种计算）均为驼峰形。大范围物种比小范围物种对总物种丰富度的贡献更大。 EVI和IB与总物种丰富度和小范围物种丰富度呈正相关。 LA和MDT与小范围物种丰富度呈正相关，而STR和SP与小范围物种丰富度呈负相关。 MDE与大范围物种丰富度呈正相关。当我们使用多元回归模型和模型平均法考虑候选因素的组合时，总物种丰富度和大范围物种丰富度与STR（负）和MDE（正）相关，而小范围物种丰富度与STR（负）和IB（正）。结论尽管没有单一的关键因素或一系列因素可以解释多样性的模式，但我们发现MDE，IB和STR在塑造不同鸟类种类的海拔丰富度模式中发挥着重要但变化的作用。模型平均表明，小范围物种似乎受IB的影响最大，而大范围物种则表现出与MDE模型更一致的模式。我们的数据还表明，物种丰富度随季节变化，为未来的工作提供了有希望的方向。

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