One Way of Expressing Bio-diversity based on Simpson and Fisher Indexes

DOI
  • IKAWA AYA
    Research Center, Institute of Environment Rehabilitation and Conservation
  • MIHARA MACHITO
    Faculty of Regional Environment Science, Tokyo University of Agriculture Institute of Environment Rehabilitation and Conservation
  • KOMAMURA MASAHARU
    Professer Emeritus at Tokyo Univercity of Agriculuture

Abstract

<p>For making out soil lives in upland field and field properties clearly, micro- arthropods living in farmland soils were picked up, and population, genera, diversity index of Simpson (1/λ) and that of Fisher (α+1) were employed for evaluating soil micro- arthropods under different management were investigated in this study. Also soil physical and chemical properties were measured. Soil samples were gathered from the fields at Hachioji, Tama and Machida in Tokyo, Japan. Planting and fertilized types were collected. And for making out of relationships in diversity of soil micro-arthropods and soil moisture conditions, soil micro-arthropods in some types of drip irrigation fields and tube irrigation fields in green house were observed. The fields in this study were categorized into two groups based on the history of dressing or land degradation. There was no certain difference in population, number of genera and two types of diversity indices between decollated and not-decollated fields. Fisher’s diversity index seemed to be larger than Simpson’s in soil dressed fields, while Simpson’s diversity index seemed to be larger than Fisher’s in non-dressed fields. The difference in types of diversity may be caused by years of cultivation in those fields. Also, based on the results of multiple regression analysis, population, number of genera and Simpson’s diversity index were related with macro porosity. So, it was concluded that those two types of diversity indices are useful for making clear difference of bio-diversities in upland field’s soils.</p>

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Details 詳細情報について

  • CRID
    1390010292487271296
  • NII Article ID
    130008166494
  • DOI
    10.32115/ijerd.4.1_7
  • ISSN
    24333700
    2185159X
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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