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Shyam Sunder’s education, in Mangalore and later in Madras, followed a course predestined for entry in to the forest service. In the Madras Presidency of the early 1950s, selection to a Class I government post was highly coveted, as well as restricted by numerous fences of exclusion. However, he succeeded due to several unusual events he narrates vividly in this memoir. One of his early forestry mentors cautioned, “Shyam Sunder, you’ll either go very far or will lose your way. I advise you to be careful.” As a researcher, forest administrator, and later as head of the forest department, he always chose to do what felt right. Inexplicably, that hastened success throughout his career. Except for a short period of two years, when he lost most of his hair thanks to a despondent boss, Shyam Sunder’s career was a ‘dream come true.’ With the affection of 10,000 staff, full support of the chief ministers he served under, and ample confidence of the government, Shyam Sunder made Karnataka a model state for forestry in India. He retired in 1989 as the Principal Chief Conservator of Forests. Shyam Sunder loved Jerome K. Jerome’s Three Men in a Boat (To say nothing of the dog), due to the similarity between the trip depicted in the book, up and down the Thames, and his own career. In both cases, life was interesting while not always smooth whether it was protecting forests in the Western Ghats from insatiable societal demands, working with ministers intent on getting their way, or striving to achieve conservation goals while being part of a labyrinthine bureaucracy. Under his leadership, partnering with a staff of ten thousand officials, the forest department of Karnataka became the envy of departments across the country. Shyam Sunder’s memoir is a series of vignettes, from numerous comedic to a tragic few. The life narrated is varied and never short of excitement – being ten yards from a charging tusker or a foot away from a King Cobra; defying orders of the chief minister; being hauled up for contempt of the high court, and discussing with Indira Gandhi the best way to eat avocados. Possessed of wit and passion, the narration lays bare the hubris of popular discourse on noble forest livelihoods, and unflinchingly narrates neglect of rural communities, as well as of forests, at times by the callous imposition of rules and regulations.
What we now know of as environmentalism began with the establishment of the first empire forest in 1855 in British India, and during the second half of the nineteenth century, over ten per cent of the land surface of the earth became protected as a public trust. Sprawling forest reservations, many of them larger than modern nations, became revenue-producing forests that protected the whole 'household of nature', and Rudyard Kipling and Theodore Roosevelt were among those who celebrated a new class of government foresters as public heroes. Imperial foresters warned of impending catastrophe, desertification and global climate change if the reverse process of deforestation continued. The empire forestry movement spread through India, Africa, Australia, New Zealand, Canada and then the United States to other parts of the globe, and Gregory Barton's study looks at the origins of environmentalism in a global perspective.
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.