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Identifying The Key Variables for Assessing The Reclamation Success on Early Growth Vegetation in Ex-exploration of Oil and Gas Mining Areas.

Authors :
Negara, Tirta
Kusmana, Cecep
Mansur, Irdika
Santi, Nitya Ade
Jaya, I. Nengah Surati
Source :
Journal of Tropical Forest Management / Jurnal Manajemen Hutan Tropika; 2020, Vol. 26 Issue 3, p222-232, 11p
Publication Year :
2020

Abstract

This paper examines the identification of key indicators that could be used to measure the success of reclamation plants in post-exploration oil and gas mining areas. The main objective of this research was to find key indicators or variables for evaluating the level success of reclamation results in the post-mining of oil and gas area. In this study, 44 environmental variables of the physical, biological, soil, water and air indicators were analyzed from 70 field plots of 6 reclamation and 2 natural forest sites. The analysis methods included (1) cluster analysis using the Agglomerative Hierarchical Clustering method with the Ward's method, and (2) quadratic discriminant analysis. The results of the clustering analysis showed that there were some clusters due to variation of biomass, water, soil and air conditions. The three clusters developed based on water and/or air variables provided high cophenetic correlation (0.80) with low within-cluster (14.5%) and high between-cluster variations (85.5%). Based on the multicollinearity analysis, average vector difference test, variance matrix variance test, unidimensional test of each variable and quadratic discriminant function, this study found that there were 3 key indicators determining variations of the quality of the reclamation plantations within the study sites, namely, biological indicator of biomass volume (Bio_B); soil indicator of P content in the soil (Tnh_P), saturation base of soil (Tnh_Kb), Manganese (Mn) content in the soil (Tnh_Mn), Sulfur content in the soil (Tnh_S), percentage of ash in the soil (Tnh_Ab), percentage of clay in the soil (Tnh_Li), and water indicator of chloride content in the surface water (Air_Cl). The examination on four classes of the reclamation quality showed that the classes were successfully classified having excellent crossvalidation error matrix with overall accuracy more than 90%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20870469
Volume :
26
Issue :
3
Database :
Complementary Index
Journal :
Journal of Tropical Forest Management / Jurnal Manajemen Hutan Tropika
Publication Type :
Academic Journal
Accession number :
147614081
Full Text :
https://doi.org/10.7226/jtfm.26.3.222