Integrative Biology Journals
Plant Diversity

Plant Diversity ›› 2018, Vol. 40 ›› Issue (02): 45-49.DOI: 10.1016/j.pld.2017.12.003

• Articles •     Next Articles

Multi-scale analysis on species diversity within a 40-ha old-growth temperate forest

Jie Gaoa, Peng Zhanga, Xing Zhangb, Yanhong Liua   

  1. a Forestry College of Beijing Forestry University, No.35 Qinghua East Road, Beijing 100083, China;
    b Landscape College of Beijing Forestry University, No.35 Qinghua East Road, Beijing 100083, China
  • Received:2017-10-07 Revised:2017-12-05 Online:2018-07-25 Published:2018-04-25
  • Contact: Yanhong Liu
  • Supported by:

    This work was supported by the Beijing Common Construction Project Research and demonstration on the regression technique of the minimum population of wild plants (2016YFC0503106).

Multi-scale analysis on species diversity within a 40-ha old-growth temperate forest

Jie Gaoa, Peng Zhanga, Xing Zhangb, Yanhong Liua   

  1. a Forestry College of Beijing Forestry University, No.35 Qinghua East Road, Beijing 100083, China;
    b Landscape College of Beijing Forestry University, No.35 Qinghua East Road, Beijing 100083, China
  • 通讯作者: Yanhong Liu
  • 基金资助:

    This work was supported by the Beijing Common Construction Project Research and demonstration on the regression technique of the minimum population of wild plants (2016YFC0503106).

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Abstract:

In order to better explore the maintenance mechanisms of biodiversity,data collected from a 40-ha undisturbed Pinus forest were applied to the Individual SpecieseArea Relationship model (ISAR) to determine distribution patterns for species richness.The ecological processes influencing species abundance distribution patterns were assessed by applying the same data set to five models:a LogNormal Model (LNM),a Broken Stick Model (BSM),a Zipf Model (ZM),a Niche Preemption Model (NPM),and a Neutral Model (NM).Each of the five models was used at six different sampling scales (10 m×10 m,20 m×20 m,40 m×40 m,60 m×60 m,80 m×80 m,and 100 m×100 m).Model outputs showed that:(1) Accumulators and neutral species strongly influenced species diversity,but the relative importance of the two types of species varied across spatial scales.(2) Distribution patterns of species abundance were best explained by the NPM at small scales (10 me20 m),whereas the NM was the best fit model at large spatial scales.(3) Species richness and abundance distribution patterns appeared to be driven by similar ecological processes.At small scales,the niche theory could be applied to describe species richness and abundance,while at larger scales the neutral theory was more applicable.

Key words: Species richness, Species abundance, Spatial scales, Niche theory, Neutral theory

摘要：

In order to better explore the maintenance mechanisms of biodiversity,data collected from a 40-ha undisturbed Pinus forest were applied to the Individual SpecieseArea Relationship model (ISAR) to determine distribution patterns for species richness.The ecological processes influencing species abundance distribution patterns were assessed by applying the same data set to five models:a LogNormal Model (LNM),a Broken Stick Model (BSM),a Zipf Model (ZM),a Niche Preemption Model (NPM),and a Neutral Model (NM).Each of the five models was used at six different sampling scales (10 m×10 m,20 m×20 m,40 m×40 m,60 m×60 m,80 m×80 m,and 100 m×100 m).Model outputs showed that:(1) Accumulators and neutral species strongly influenced species diversity,but the relative importance of the two types of species varied across spatial scales.(2) Distribution patterns of species abundance were best explained by the NPM at small scales (10 me20 m),whereas the NM was the best fit model at large spatial scales.(3) Species richness and abundance distribution patterns appeared to be driven by similar ecological processes.At small scales,the niche theory could be applied to describe species richness and abundance,while at larger scales the neutral theory was more applicable.

关键词: Species richness, Species abundance, Spatial scales, Niche theory, Neutral theory

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