Abstract

This study aims at presenting a conceptual model for landscape management in the Himalayan region of India, using quantitative/mathematical approach. Keeping in view the requirement, (based on fifteen years empirical field work in the Himalayan region and as well as literature survey) the MODAM (Multiple Objectives Decision Support Tools for Landscape Management) model along with linear programming approach was adopted with a view to presenting additional methodological perspectives on interdisciplinary landscape research. The work has stemmed out from the original research contribution, which tries to integrate interdisciplinary research planning with landscape management related research in the Himalayan region. This biodiversity hotspot has relatively high complexity in terms of sustainable socioeconomic development vis a vis conservation and management of the resources. The concepts and insights presented in this article will provide the basis for a discussion, on decision-making issues among multidisciplinary experts with regard to sustainable socioecological development within complex environments.

Highlights

  • The Himalaya of India is one of the most important ecosystems of the world, harbouring a unique biodiversity and an important part of India’s population

  • More than 10% of the entire Himalayan region has been assigned for biodiversity conservation, natural resource management and development of the local economy and people (Nautiyal 2009)

  • The effectiveness of natural resource management requires a detailed understanding of the patterns and processes that exist within the natural system and the human institutions associated with the use of the resource (Deadman 1999)

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Summary

Introduction

The Himalaya of India is one of the most important ecosystems of the world, harbouring a unique biodiversity and an important part of India’s population. Sustainable landscape management and development are crucial for several hundred million people in India (Ives and Messerli 1989; Singh 2002). More than 10% of the entire Himalayan region has been assigned for biodiversity conservation, natural resource management and development of the local economy and people (Nautiyal 2009). To know the complexity of the system and its behavior under different socioeconomic conditions, a detailed understanding of the system is necessary (Nautiyal and Nayak 2010). This means that the character of the landscape is the result of the interface between man and nature. In the Himalayan context, limited efforts have been made in terms of integrated modeling approaches (Rees et al 2006)

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