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ISPRS Int. J. Geo-Inf. 2017, 6(9), 262; doi:10.3390/ijgi6090262

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

1
Faculty of Engineering, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP 78280, Mexico
2
Faculty of Agronomy and Veterinary, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP 78321, Mexico
3
Faculty of Forest Sciences, Universidad Juárez del Estado de Durango, Durango, DGO 34120, Mexico
4
Faculty of Social Sciences and Humanities, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP 78399, Mexico
*
Author to whom correspondence should be addressed.
Received: 20 July 2017 / Revised: 17 August 2017 / Accepted: 20 August 2017 / Published: 25 August 2017
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Abstract

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 Potosí (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. View Full-Text
Keywords: Landsat 8 OLI; soil degradation; soil erosion; top-of-atmosphere reflectance; cross-tabulation matrix; Multi-Criteria Decision Analysis Landsat 8 OLI; soil degradation; soil erosion; top-of-atmosphere reflectance; cross-tabulation matrix; Multi-Criteria Decision Analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Aguirre-Salado, C.A.; Miranda-Aragón, L.; Pompa-García, M.; Reyes-Hernández, H.; Soubervielle-Montalvo, C.; Flores-Cano, J.A.; Méndez-Cortés, H. 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. ISPRS Int. J. Geo-Inf. 2017, 6, 262.

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