People, Institutions, and Pixels

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This book presents an interdisciplinary approach to study the dynamics of grassland social-ecological systems on the Mongolian plateau and social adaptation to environmental change. First, we estimated annual grassland net primary productivity (NPP) on the Mongolian plateau and analyzed the dynamics of grassland NPP in response to climate variability. Second, we analyzed the potential for using hyperspectral remote sensing to detect the quantity and quality of dominant grassland communities across an ecological gradient of Inner Mongolian. The dynamics of grassland productivity was interpreted both qualitatively and quantitatively. We used spatial panel data models to identify the factors driving the interannual variability of grassland NPP. Social adaptations to environmental change was studied at both household and community levels. A household survey was implemented across ecological gradients of Mongolia and Inner Mongolia to study livelihood adaptation practices of herders to environmental change. We also built an agent-based model to explore social-ecological outcomes of pasture use under alternative institutional and climatic scenarios.

Autorentext

I was born in Nanjing, P. R. China in 1978. I received my bachelor degree in 2000 and my master degree in 2004 from department of chemical engineering at Nanjing University of Technology. In Aug. 2010, I received my Ph.D degree from department of chemistry at University of Nebraska-Lincoln, U.S.A. I am interested in classical molecular dynamics.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 204
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 322g
    • Untertitel Linking Remote Sensing and Social Science to Understand Social Adaptation to Environmental Change
    • Autor Jun Wang
    • Titel People, Institutions, and Pixels
    • Veröffentlichung 11.07.2014
    • ISBN 3659510262
    • Format Kartonierter Einband
    • EAN 9783659510267
    • Jahr 2014
    • Größe H220mm x B150mm x T13mm
    • GTIN 09783659510267

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