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Research Article Open access CC BY 4.0

Assessment of Richness of Diversity between Various Species of Vegetation Type and Their Threat Status in Mukundpur Forest Area, Satna District, Madhya Pradesh, India

P. K. Singh, Prachi Singh, Sherendra Sahu

Journal of Agriculture and Ecology Research International · pp. 1–16 · Published 15 Oct 2018

10.9734/JAERI/2018/44194

Abstract

Mukundpur forest range is situated in Amarpatan Tahsil in Satna district of Madhya Pradesh India. The species of 58 trees, 28 shrubs, 08 lianas, 20 herbs and 19 grasses (total 133) had been found by using vegetation sampling. By evaluating IVI (Important Value Index) for the species of various vegetation types, the threat and conservation status was assessed by Normal Distribution Principle. The richness of species of study area was assessed by taking the two parameters i.e. number of species and their average IVI between various vegetation types and threat and conservation categories. The result of the richness of diversity in numbers and their IVI for different vegetation types were expressed in terms of significant or non-significant. The present study provided the current status of species diversity current diversity and it also designing procedure for optimal species diversity in the study area by developing various alternative strategies to assess the number of species and their IVI between various vegetation types with optimum species diversity and minimising the threat parameters simultaneously. The study area was the forest area of 111.55 km2 of Mukundpur range of Satna Forest division, Madhya Pradesh, India. Field work was carried out during October 2015 to January 2016.The study about the current status reveals that there was a nonsignificant richness of species diversity between various vegetation types and threat and conservation categories when the number of the species was considered as a parameter. The species diversity was in the significant state of threat and conservation categories, but same was insignificant between various vegetation types when average IVI of the species was considered as a other parameter. The optimisation technique was used to find out the number and average IVI of the species between various vegetation types (Trees, Shrubs, Lianas, Herbs and Grasses) by making the variance significant. The same technique is used to reduce the threat status between various threat and conservation categories by making the variance of number and average IVI of the species as non significant. The optimal number species of 58 tree, 28 shrubs, 30 lianas, 20 herbs, 19 grasses (Total 155) and optimal average IVI between threat and conservation category 1 were assessed as 23.073, 19.284, 9.085, 25.321 and 10.067 within trees, shrubs, lianas, herbs and grasses respectively with total of 86.83 were assessed to make the significant diversity and at the same time maintaining the non significant status of threat and conservation status. The number of lianas species should be increased from 8 to 30 which lowered the average IVI of the species from 44.125 to the average value of 9.085.

Analysis of variance frequency class IVI level of significance normal distribution principle optimisation technique significant and non Significant threat and conservation categories

Cited by 1

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