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山地土壤动物群落垂直分布格局研究进展 被引量:6

A Review on the Vertical Distribution Patterns of Soil Animal Communities in Mountains
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摘要 生物多样性垂直分布格局及其形成机制是山地生态系统研究的热点问题之一.较之于植物物种垂直分布格局研究,土壤动物垂直分布格局的研究尚处于初期阶段.近年来,随着生态系统研究网络布局的不断完善,山地垂直梯度上土壤动物分布格局的研究得到了较快发展,主要取得了以下成果.(1)土壤动物群落沿山地垂直梯度上的分布模式主要为下降型、上升型、单峰型和无趋势4种;(2)气候、土壤、植被以及坡向和微地形等是影响山地土壤动物多样性、群落结构和垂直分布格局的重要因素;(3)当前对山地垂直梯度上土壤动物群落的微观研究相对不足,未来应加大模型的应用研究(如物种-多度分布模型、生态位分配模型等),着重探究气候变化背景下土壤动物各功能类群的多度分布、建群过程和对全球变化的响应机制. The vertical distribution pattern of biodiversity and its formation mechanism is one of the hot issues in mountain ecosystem research.Compared with the research on vertical distribution pattern of plant species,the research on vertical distribution pattern of soil animals is still in its infancy.In recent years,with the continuous improvement of ecosystem research networks,the study of soil animal distribution pattern on vertical gradient has developed rapidly.The main achievements are as follows:(1)The distribution patterns of soil animals community along the vertical gradient are:descending,ascending,single peak and no trend.(2)Climate,soil,vegetation,slope direction and micro-topography are important factors affecting the diversity,community structure and vertical distribution pattern of soil animal in mountain areas.(3)At present,the study of soil animals community on the elevation gradient is relatively insufficient.In the future,the application of the model(including Species-abundance distribution models,Niche apportionment models)should be strengthened,focusing on the abundance distribution in different functional groups of soil animals under the background of global change,the mechanism in community assembly and its response mechanism to environmental change.
作者 徐帅博 李艳红 朱连奇 李理 XU Shuaibo;LI Yanhong;ZHU Lianqi;LI Li(College of Environment and Planning,Henan University,Henan Kaifeng475004,China)
出处 《河南大学学报(自然科学版)》 CAS 2020年第1期19-28,共10页 Journal of Henan University:Natural Science
基金 国家自然科学基金资助项目(41671090).
关键词 全球变化 土壤动物 垂直分布格局 影响因素 模型应用 global change soil animals vertical distribution pattern influencing factors model application
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