This book discusses land degradation in India using statistical tools such as Principal Component Analysis (PCA) and Regression Analysis (RA), and uses statistical analyses and graphical representations of the causal relationship between land degradation and land productivity to determine linkages with deforestation, climate change and agricultural productivity. While most studies of land degradation in India focus on economic outcomes and physical processes at macro and micro levels, this study addresses land degradation at the meso-level to fill in this gap and provide up-to-date information on often overlooked factors associated with land degradation issues using the latest available data. Districts in the study were selected by land degradation intensity, forming an index of the severity of land degradation in the area, with a focus on gullied lands, soil salinity/alkalinity and open and dense scrubs as indicators. Though the study areas are in India, researchers, policy makers and students around the world will be able to learn from these inputs regarding land degradation to address various challenges associated with sustainable land management and agricultural productivity.

Discusses land degradation in India using Principal Component Analysis and Regression Analysis Covers regional classification of land degradation through graphical representation Provides a statistical analysis of the relationship between land degradation and land productivity

Autorentext

Dr. Ratan Priya has specialized experience in land degradation studies in India, and holds a postgraduate degree from the Deen Dayal Upadhyaya, Gorakhpur University and an M.phil [2014] and a Ph.D. degree [2019] from the Center for the Study of Regional Development (CSRD) at the Jawaharlal Nehru University, New Delhi, India. Dr. Priya has published several research papers on land degradation studies and agricultural studies with a special focus on India. [The author has visited Goethe University, Frankfurt, Germany under UGC-DAAD Exchange Program regarding study on Land Degradation].

Klappentext

This book discusses land degradation in India using statistical tools such as Principal Component Analysis (PCA) and Regression Analysis (RA), and uses statistical analyses and graphical representations of the causal relationship between land degradation and land productivity to determine linkages with deforestation, climate change and agricultural productivity. While most studies of land degradation in India focus on economic outcomes and physical processes at macro and micro levels, this study addresses land degradation at the meso-level to fill in this gap and provide up-to-date information on often overlooked factors associated with land degradation issues using the latest available data. Districts in the study were selected by land degradation intensity, forming an index of the severity of land degradation in the area, with a focus on gullied lands, soil salinity/alkalinity and open and dense scrubs as indicators. Though the study areas are in India, researchers, policy makers and students around the world will be able to learn from these inputs regarding land degradation to address various challenges associated with sustainable land management and agricultural productivity.

Inhalt
Chapter1. Introduction.- Chapter2. Land Degradation: Indian Scenario.- Chapter3. Land Degradation in India: Relationship with Deforestation and Population.- Chapter4. Land Degradation in India and Propinquity with Rainfall.- Chapter5. Land Degradation and Agricultural Productivity.- Chapter6. Land Degradation: Reclamation and Policy Adaptation