Comparative ecological-economic analysis of growth performance of exotic Eucalyptus tereticornis and indigenous Dalbergia sissoo in mono-culture plantations

In this article I discuss the problem of how we can change our world into a wiser world that is driven by a culture of wisdom inquiry (CWI), i.e., a world that frees humanity from a looming totalitarian catastrophe. How best can we interrogate the traditional wisdom of culture (TWC) that is responsible for the academic institutions of learning, among other kinds of institutions, dogmatically and solely aiming at the acquisition of knowledge and technological prowess (technologisches koennen), instead of the promotion of wisdom and human well-being? What kind of strategic transformations of institutional design, policy and goals within diverse institutions, particularly academic institutions of learning, regionally and globally, are imperative? This paper argues from the principle of universal interconnectedness across nature/universe and the fundamental asymmetry of human well-being interests and nature’s well-being interests. From this, the development of a culture of wisdom inquiry as an overarching (allumfassend) methodology of institutional change from within at two levels of analysis is proposed, viz., (1) at the level of the ecological–economic analysis of safeguarding nature’s abundant ecosystems from human greed; and (2) at the level of the transformation of the educational, academic and political–economic institutions, as well as international institutions, that must be dedicated to human well-being.

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Prediction models for above-ground wood of some fast growing trees of Nepal's eastern Terai

Banko Janakari ◽

10.3126/banko.v9i2.17663 ◽

2017 ◽

Vol 9 (2) ◽

pp. 28-35

Author(s):

H.B. Thapa

Keyword(s):

Prediction Models ◽

Eucalyptus Camaldulensis ◽

Acacia Auriculiformis ◽

Coefficient Of Determination ◽

Biomass Estimation ◽

Eucalyptus Tereticornis ◽

Dalbergia Sissoo ◽

Short Rotation ◽

Acacia Catechu ◽

Wood Model

Biomass study of Acacia auriculiformis, Acacia catechu, Dalbergia sissoo, Eucalyptus camaldulensis and Eucalyptus tereticornis was conducted on a five and half years old 'Fuelwood Species Trial under Short Rotation' through destructive sampling at Tarahara, Sunsari District of Nepal. The lowest Furnival Index (FI) was the main criteria for selecting a model. Among the six models tested, the transformed model Ln W= a + b Ln DBH from a power equation W = a DBHb (W = weights of stem or branch or above-ground wood in kg, DBH= Diameter at breast height in cm) was selected. Selected prediction models of tree components and above-ground wood (green as well as oven dry), and their coefficient of determination (R2) values, regression constant and coefficient, correction factor, precision and bias percent of five species are presented. With the exclusion of branchwood models, R2 is higher in a range of 88.7% for oven dry stemwood of Acacia catechu to 99.3% for above-ground wood model of Dalbergia sissoo. However, R2 is less than 80% in branchwood (green and oven dry) of Acacia auriculiformis, Eucalyptus camaldulensis, and Eucalyptus tereticornis showing moderate relationship between branchwood and DBH. In the case of E. tereticornis, precision is more than 49% which leads to low reliability in biomass estimation resulting in true biomass deviation in a range of about 49.51% to 56.74%, so biomass model's could not be used for estimation of tree components and above-ground wood. Despite it, generally, precision percent of the selected models has been found less than 15%. Bias percent was found quite large for allometric branchwood model comparatively to stemwood and above-ground wood models. D. sissoo had less than 10 % bias. Bias percent was the highest (23.11%) for green branchwood of Acacia auriculiformis. Others had in a range of 0.5% for green aboveground wood model of D. sissoo to 18.4% for green and oven dry branchwood models of E. tereticornis.

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