期刊
LAND
卷 11, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/land11040562
关键词
Land Cover; Soil Organic Carbon; Land Productivity Dynamics; NDVI; change analysis; Sustainable Development Goals
资金
- Consejo Nacional de Ciencia y Tecnologia (CONACYT) [712144]
- Benemerita Universidad Autonoma de Puebla [100408000]
This study assessed the degradation state and trend in Ixtacamaxtitlan, Mexico, by analyzing the changes in land cover, land productivity dynamics, and soil organic carbon indicators from 2000 to 2015. The results showed an increase in croplands, a reduction in grasslands, and significant soil organic carbon losses, with approximately 19% of the total area being classified as degraded land.
Identifying degraded lands and degradation trends is essential to determine measures that contribute to avoiding, reducing, and reversing the rate of deterioration of natural resources. In this study, we assessed the state and trend of degradation in Ixtacamaxtitlan, Puebla, Mexico, by determining the spatial and temporal changes of three indicators, Land Cover (LC), Land Productivity Dynamics (LPD), and Soil Organic Carbon (SOC), during the period 2000-2015, using global data proposed by the Convention to Combat Desertification for the implementation of Land Degradation Neutrality (LDN). The results showed increases in croplands (6.89%) and a reduction in grasslands (9.09%), with this being the transition that presents the most significant extension in the territory. The LPD is the indicator where the most deterioration was observed, and due to negative changes in LC, SOC losses were estimated at more than 7000 tons in the study period. The proportion of degraded land was 19% of approximately 567.68 km(2) of Ixtacamaxtitlan's surface. Although the municipality presents incipient degradation and only a tiny part showed improvement, identifying areas with degradation processes in this work will favor degradation monitoring and the adequate planning and application of restoration measures in the local context to promote the path towards LDN.
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