Improving Identification of Areas for Ecological Restoration for Conservation by Integrating USLE and MCDA in a GIS-Environment: A Pilot Study in a Priority Region Northern Mexico
| Autor: | Jorge A. Flores-Cano, Liliana Miranda-Aragón, Carlos Arturo Aguirre-Salado, Carlos Soubervielle-Montalvo, Heriberto Méndez-Cortés, Marín Pompa-García, Humberto Reyes-Hernández |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Multi-Criteria Decision Analysis
010504 meteorology & atmospheric sciences cross-tabulation matrix Geography Planning and Development lcsh:G1-922 010501 environmental sciences 01 natural sciences Ecosystem services Forest restoration soil degradation top-of-atmosphere reflectance Soil retrogression and degradation Forest ecology Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Restoration ecology Landsat 8 OLI soil erosion 0105 earth and related environmental sciences business.industry Ecology Environmental resource management Universal Soil Loss Equation Geography Work (electrical) Protected area business lcsh:Geography (General) |
| Zdroj: | ISPRS International Journal of Geo-Information; Volume 6; Issue 9; Pages: 262 ISPRS International Journal of Geo-Information, Vol 6, Iss 9, p 262 (2017) |
| ISSN: | 2220-9964 |
| DOI: | 10.3390/ijgi6090262 |
| Popis: | Nature conservation is critical for securing an adequate supplying of environmental services to humans. Paradoxically, financial resources for conservation are normally scarce and, forest ecosystem restoration activities are expensive. So, a careful and detailed planning is vital for optimizing economic funds when ecosystems restoration practices are implemented. In this work, we developed a methodology to find physically-degraded sites in order to determine both, urgency and feasibility to carry out ecological forest restoration activities in the Priority Region for Conservation Xilitla in the state of San Luis Potosi (Mexico). Both, Universal Soil Loss Equation (USLE) and Multi-Criteria Decision Analysis (MCDA) were integrated together by using climatic, soil, remotely-sensed, and proximity data at a 30 m spatial resolution. The results indicated that, more than 80% of the bare soil land in the protected area is under several conditions that lead to feasible ecosystem restoration. This methodology can be further applied to know about the spatial location of soil degraded sites when planning forest restoration practices in natural protected areas. |
| Databáze: | OpenAIRE |
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