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Connotative land degradation mapping: A knowledge-based approach to land degradation assessment
Affiliation:1. Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Ciudad Universitaria, UNAM, Apartado Postal 70275, 04510 México, Distrito Federal, Mexico;2. Instituto de Geología, UNAM, Circuito Exterior, CU, 04510 México DF, Mexico;1. Anna University, Guindy, Chennai 600025, Tamil Nadu, India;2. Centre for Biotechnology, Anna University, Guindy, Chennai 600025, Tamil Nadu, India;1. University of Dayton, Mechanical Engineering Dept., United States;2. MTU Aero Engines North America, United States;3. University of Hartford, Mechanical Engineering Dept., 200 Bloomfield Ave, West Hartford, CT 06117, United States;1. Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, 305-8572, Ibaraki, Japan;2. Department of Plant and Environmental Sciences, School of Natural Resources, Copperbelt University, P.O. Box 21692, Kitwe, 10101, Zambia;3. Department of Environmental Management, Faculty of Social Sciences and Humanities, Rajarata University of Sri Lanka, Mihintale 50300, Sri Lanka;1. Department of Energy, Politecnico di Milano, Milan, Italy;2. Universitat Politècnica de Catalunya, Barcelona, Spain
Abstract:Land degradation mapping is a problem-solving task that aims to provide information for allocating budgets and materials to counter the deterioration of land resources. Typically, it entails the implementation of a set of indicators in a GIS to appraise the severity of land degradation across a territory. Nevertheless, the selection of these indicators has proved to be challenging in practice and often this selection reflects one particular and thus limited perspective of land degradation. Because land degradation is intrinsically complex and involves decisions by many agencies and individuals, land degradation mapping should be used as a learning tool through which managers, experts and stakeholders can re-examine their views within a wider semantic context. In this paper, we introduce an analytical framework, called Connotative Land Degradation Mapping, which aims to depict the meaning of a multiplicity of interacting drivers and effects The CLDM entails the implementation of (1) geographic information systems and multicriteria decision analysis (GIS-MCDA), and (2) geo-visualization. The approach is illustrated through a case study of two urban watersheds in central Mexico. Results showed that the main land degradation drivers in the study area were related to natural processes, which were exacerbated by human activities. The output of the CLDM enabled a better communication of the land degradation issues and concerns in a way relevant for policymakers.
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