Methodology for an integrative assessment of China's ecological restoration programs
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Abstract
While research projects have been conducted to examine the impacts and effectiveness of China's ecological restoration programs, few of them represent integrated, systematic efforts. The objective of this chapter is thus to articulate and outline a methodology for an integrative assessment, which, we believe, should embrace both the environmental and socioeconomic changes and engage investigations at multiple scales. Further, these investigations should be pursued through interdisciplinary collaboration with expertise from ecology, economics, hydrology, and geospatial, climate, and land change sciences. We argue that the deployment of geospatial capability, the use of longitudinal data, and the connection between science and policy should be the hallmarks of an integrative assessment. We also describe our general approach and specific models to quantify the environmental and socioeconomic impacts induced by implementing the restoration programs, and address the issue of how to overcome the challenges in generating the data needed for executing various empirical tasks. We hope that the adoption and application of this methodology will make a valuable contribution to a more robust and timely assessment as well as implementation of the ecological restoration programs in and outside of China.
Study Area
Publication type | Book chapter |
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Publication Subtype | Book Chapter |
Title | Methodology for an integrative assessment of China's ecological restoration programs |
Chapter | 3 |
DOI | 10.1007/978-90-481-2655-2_3 |
Year Published | 2009 |
Language | English |
Publisher | Springer |
Publisher location | Netherlands |
Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
Description | 16 p. |
Larger Work Type | Book |
Larger Work Subtype | Monograph |
Larger Work Title | An integrated assessment of China's ecological restoration programs |
First page | 39 |
Last page | 54 |
Country | China |
Google Analytic Metrics | Metrics page |