Understanding the complex relationships between humans and the natural world is essential for achieving environmental sustainability and improving human well-being, yet many studies are unable to reveal complex interactions and hidden trends. This is the first book to synthesize the findings and approaches of long-term integrated research in a model coupled human and natural system, and to illustrate their applications to regional, national, and global scales. Itfeatures a classic long-term interdisciplinary research project in the Wolong Nature Reserve of China, which contains one of the largest wild populations of the world-famous endangered giant pandas. Bringing together a team of contributors from both the natural and social sciences, this book exploreshow a long-term interdisciplinary and model system approach is essential to uncover the common patterns and mechanisms of coupled systems, to develop ideas and methods for studying and managing other coupled systems, and ultimately to contribute to the development of theories about coupled systems for sustainability. Pandas and People will be essential reading for scholars interested in the interface of the natural and social sciences, including ecologists, conservation biologists, environmental scientists, sustainability scientists, wildlife biologists, forest scientists, sociologists, anthropologists, economists, and political scientists. It will also be a valuable reference for policy makers, natural resource managers, and graduate students.
Xiaodong Chen & Vanessa Hull
Pandas and People [PDF ebook]
Coupling Human and Natural Systems for Sustainability
Pandas and People [PDF ebook]
Coupling Human and Natural Systems for Sustainability
Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng PDF ● Trang 304 ● ISBN 9780191008580 ● Biên tập viên Xiaodong Chen & Vanessa Hull ● Nhà xuất bản OUP Oxford ● Được phát hành 2016 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 8155826 ● Sao chép bảo vệ Adobe DRM
Yêu cầu trình đọc ebook có khả năng DRM