库车北山植物群落物种系统发育多样性及功能多样性沿海拔梯度的分布格局研究
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1.新疆师范大学 生命科学学院;2.新疆师范大学;3.温宿县林业和草原局(草原工作站);4.新疆维吾尔自治区草原总站

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Phylogenetic and functional diversity patterns of plant communities along the altitude gradient in the Beishan Mountains of Kuqa
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Affiliation:

1.Xinjiang Key Laboratory of Special Species Conservation and Regulatory Biology;2.Grassland Station of Uygur Autonomous Region

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    基于功能多样性和系统发育多样性相结合对群落构建的研究可以揭示植物群落物种生态选择策略、空间分布格局以及多样性维持机制,山区植物群落构建机制的研究有助于山区植物资源及生态环境的保护。以往的研究大多集中于物种多样性和系统发育多样性相结合揭示群落构建机制,而基于功能多样性和系统发育多样性揭示群落构建较少。本研究以库车北山不同海拔植物群落为研究对象,基于功能多样性和系统发育多样性相结合的方法,分析不同海拔梯度植物群落物种系统发育多样性和功能多样性的变化规律,筛选影响系统发育多样性和功能多样性的环境因子,进而揭示库车北山植物群落物种多样性维持机制及其驱动因素。研究结果表明:(1)群落物种功能丰富度指数(FRic)、功能均匀度指数(FEve)均随海拔升高呈“单峰”变化趋势,最高值均出现在海拔2300 m处;功能离散度指数(FDis)随海拔升高呈先下降后上升的“单峰”变化趋势,最高值出现在海拔3100 m处;Rao二次熵指数(Rao,Q)随海拔升高呈单调递减的趋势;系统发育多样性指数(PD)呈先上升后下降的“单峰”变化趋势,系统发育结构逐渐由分散状态转变为聚集状态。总体而言,竞争排斥是低海拔群落构建的主要驱动力,而生境过滤是高海拔群落构建的主要驱动力。(2)研究区样地植物群落物种功能性状指标的系统发育信号K值中,除植物高度外,其他性状的K值均小于1,说明植物群落物种功能性状受环境异质性的影响更多,受进化历史的影响较小。(3)环境因子与植物多样性指数间的冗余分析结果显示,海拔是库车北山植物群落物种分布的主要影响因子,其次为年平均温度、土壤速效钾、土壤铵态氮以及土壤含水量;逐步回归进一步分析表明,年平均温度对PD指数和NRI有显著影响,NTI主要受到海拔和硝态氮的共同影响,而功能性状多样性指数受到海拔、土壤氮和磷以及土壤含水量等的影响。

    Abstract:

    Studying community assembly through the integration of functional and phylogenetic diversity can elucidate the ecological selection strategies, spatial distribution patterns, and mechanisms of diversity maintenance in plant communities. Additionally, investigating the mechanisms of plant community assembly in mountainous regions can aid in the conservation of plant resources and the ecological environment in these areas. Most previous studies have focused on combining species diversity and phylogenetic diversity to reveal community assembly mechanisms, while fewer studies have explored community assembly based on functional and phylogenetic diversity. In this study, the plant communities at varying altitudes in the Beishan mountains of Kuqa were used as the research object. The research analyzed the patterns of phylogenetic and functional diversity across different altitude gradients, using a combination of functional traits and phylogenetic information. Screening environmental factors that influence phylogenetic and functional diversity, thereby elucidating the mechanisms of plant community diversity maintenance and its driving factors in the Beishan mountains of Kuqa. The results of the study showed : (1) The functional richness index (FRic) and functional evenness index (FEve) exhibit a "single-peak" pattern with increasing altitude, reaching their highest values at 2300 m above sea level; The Functional Dispersion Index (FDis) exhibited a "unimodal" trend, initially decreasing and then increasing with altitude, with the highest value observed at 3100 m above sea level; The Rao Quadratic Entropy Index (Rao,Q) showed a monotonic decrease with increasing altitude. The phylogenetic diversity index (PD) exhibit a "single-peak" pattern, initially increasing and then decreasing with altitude. The phylogenetic structure index transitioned from a state of dispersion to a state of aggregation. Overall, competitive exclusion was the primary mechanism driving the assembly of low-altitude communities, whereas habitat filtering was the dominant factor influencing the construction of high-altitude communities. (2) The phylogenetic signal K values of species functional trait indicators in the plant communities of the study area showed that, except for plant height, the K values for all other traits were less than 1. This indicates that environmental heterogeneity has a stronger influence on the functional traits of plant communities than evolutionary history. (3) The results of redundancy analysis indicate that altitude is the primary factor influencing the distribution of plant communities in the Beishan mountains of Kuqa, followed by mean annual temperature, soil quick potassium, soil ammonium nitrogen, and soil water content. Stepwise regression analysis further revealed that mean annual temperature significantly influenced the phylogenetic diversity index (PD) and the net relatedness index (NRI). The net taxonomic index (NTI) was primarily affected by altitude and nitrate nitrogen. Functional trait diversity indices were influenced by altitude, soil nitrogen and phosphorus, as well as soil water content.

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樊晓玲,刘彬,孙庆振,王恩召,钱慧玲,张云玲.库车北山植物群落物种系统发育多样性及功能多样性沿海拔梯度的分布格局研究.生态学报,,(). http://dx. doi. org/[doi]

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