Affiliation:
1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
2. Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
Abstract
SDG15.3 aims to achieve “Land Degradation Neutrality (LDN)”, but its only indicator (SDG15.3.1) is designed for national-level assessment and monitoring, and is not suitable for local-level applications. Thus, taking Inner Mongolia as the study area, this paper provides a localized reform of SDG15.3.1 based on the local context, and assesses the progress of SDG15.3 in the study area (2000-2020) at multiple levels (indicator, specific, and overall). The Moran’I and Standard Deviation Ellipse (SDE) are also utilized to analyze the spatial–temporal change of land degradation. The results show that as of 2020, the proportion of land degradation and improvement areas to the total area was 7.51% and 9.42%, respectively. Inner Mongolia had generally met the goal of SDG15.3, but on the indicator level, water erosion still falls far below the standard of SDG15.3. Additionally, at the spatial level, 3 out of 12 municipalities and 71 out of 103 counties had not achieved LDN, with a pattern of low LDN levels in the southeast and high in the northwest at the county scale. This indicates that the progress of SDG15.3 is extremely uneven both at the indicator and spatial levels. Thus, it is essential to continue to promote land degradation management in Inner Mongolia to achieve LDN in the entire area and across all aspects.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference48 articles.
1. Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15-exploring the potential of data cube;Giuliani;Big Earth Data,2020
2. Sims, N.C.N.G. (2021). SDG Indicator 15.3.1, Proportion of Land That Is Degraded Over Total Land Area, United Nations Convention To Combat Desertification. Version 2.0.
3. Harnessing Big Earth Data to Facilitate Land Degradation Neutrality Goals—Practices and Prospects;Li;Bull. Chin. Acad. Sci.,2021
4. Land in balance: The scientific conceptual framework for Land Degradation Neutrality;Cowie;Environ. Sci. Policy,2018
5. Guo, H. (2021). Big Earth Data in Support of the Sustainable Development Goals (2019), EDP Sciences.