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Climate Change Impacts on Tropical Forests in Central America: An ecosystem service perspective

Contributor(s): Chiabai, Aline (Editor)

ISBN: 9781138506862

Publisher: Routledge

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$67.99
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Pub Date: June 30, 2017

Dewey: 333.75

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.50" H x 9.21" L x 6.14" W ( 0.75 lbs) 236 pages

Series: Earthscan Forest Library

Descriptions, Reviews, etc.

Description:

This innovative collection utilises both theoretical approaches and empirical results to provide a conceptual framework for an integrated analysis of climate change impacts on forest ecosystems and related economic effects, offering insight into the complex relationship between ecosystem services and benefits to humans. This important contribution to climate change and forestry studies provides invaluable reading for students and scholars in the fields of environmental and ecological economics, environmental science and forestry, natural resource management, agriculture and climate change.

Review Quotes:

"This is the definitive volume of readings on the climate change and ecosystems services in the forests of Central America. The readings provide viable insight and analysis, and should serve as inspiration for researchers not only interested in this problem but also in conducting studies of climate change impacts on ecosystems in other critical regions of the world."-Edward B. Barbier, University of Wyoming, USA

"Tropical forests are among the most valuable ecosystems on earth in terms of their biodiversity and their contribution to sustainable human well-being. This book is a timely and valuable addition to the growing literature on tropical forest ecosystem services."-Robert Costanza, The Australian National University, Australia

"This is a worth reading volume for researchers and policy makers which presents one of the few ecological and economic comprehensive studies of how Climate Change is affecting ecosystem services. The methodological approach and analysis, combining spatially explicit different types of data within using various models and scenarios, should serve as a model for other critical regions."-Maria Jose Sanz Sanchez, Agriculture Organization of the United Nations (FAO), Italy

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