Coupling Spatial Multiattribute Analysis and Optimization to Identify Reforestation Priority Areas
| Autor: | Gustavo Manuel Cruz-Bello, Erasto Domingo Sotelo-Ruiz |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Geospatial analysis
business.industry Computer science Environmental resource management Rank (computer programming) Reforestation Development computer.software_genre Deforestation Forest ecology Environmental Chemistry Remedial education business Human resources computer Integer programming General Environmental Science |
| Zdroj: | Mountain Research and Development. 33:29-39 |
| ISSN: | 1994-7151 0276-4741 |
| DOI: | 10.1659/mrd-journal-d-12-00085.1 |
| Popis: | Reforestation programs have been proposed as a remedial measure to tackle deforestation and forest ecosystems degradation. Because one of the main constraints to the implementation of restoration practices is lack of funding, these programs need to be carefully planned to efficiently use the economic and human resources invested. In this study we present a geospatial decision-making tool to identify suitable areas for restoration. The overall approach entails (1) the use of the simple multiattribute rating technique (SMART) to identify and rank the attributes according to their importance for prioritizing areas for restoration and (2) the implementation of 0–1 integer programming to select the areas that maximize the environmental benefit. The approach is exemplified through a case study in central Mexico's mountainous state of Estado de Mexico, encompassing an area just above 2 million ha. Specialists in different aspects of reforestation selected the following attributes to identify priority areas for r... |
| Databáze: | OpenAIRE |
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