Long-Term Spatiotemporal Changes and Geo-Information Tupu Characteristics of Qinling Mountains Ecosystem Pattern from 1986 to 2020

The Qinling Mountains ecosystem serves as a vital ecological barrier and geographic demarcation line in China. Monitoring long-term land cover changes in the Qinling Mountains is essential for ecosystem pattern evaluation, environmental protection, and sustainable development. Focusing on the Qinling Mountains in Shaanxi Province, this study aimed to quantify the land cover changes from 1986 to 2020 using remote sensing and GIS technologies. An optimized Support Vector Machine (SVM) classification method was developed using Landsat satellite images and historical field samples. The method was employed to conduct land cover classification across eight discrete time periods: 1986, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. The average overall accuracy (OA) of the classification results for the eight time periods was 96.42%, with a Kappa coefficient (K) of 0.9230, thus confirming the reliability of the mapping results. We subsequently developed a spatiotemporal Geo-information Tupu that facilitated a detailed analysis of land cover changes in the study area across different periods. The results show the following: (1) Forest was the dominant land cover type, followed by cropland. From 1986 to 2020, the forest, impervious surface, and water body areas showed overall increasing trends, although fluctuations were observed over time, and the increase was estimated at 6677.30 km2, 557.57 km2, and 135.71 km2, respectively. In contrast, the areas of cropland, grassland, and bare soil showed a fluctuating decreasing trend, with a decrease in areal coverage of 2790.57 km2, 1528.76 km2, and 3042.66 km2, respectively. During the study period, the forest area experienced the greatest increase but maintained the lowest dynamic degree. In contrast, bare soil showed the largest decrease and the highest dynamic degree. (2) A total of 30.74% of the area underwent dynamic changes during the study period, with the most active transformation occurring after 2010; these changes were mainly manifested in the outflow of cropland (4997.27 km2), the transfer of forest (8557.43 km2), and the expansion of impervious surfaces (771.33 km2). In conclusion, the overall ecological environment is improving. The results demonstrate a land cover reconstruction process that enables the management department to rationally utilize natural resources in the Qinling Mountains.

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Publication Details

Journal
Remote Sensing
Published
2025-10-27
DOI
https://doi.org/10.3390/rs17213551
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

Long-Term Spatiotemporal Changes and Geo-Information Tupu Characteristics of Qinling Mountains Ecosystem Pattern from 1986 to 2020

Jiange Liu, Xinshuang Wang, Junjun Wu, Lei Pan et al.
Remote Sensing
Land Use and Ecosystem Services
article

Long-Term Spatiotemporal Changes and Geo-Information Tupu Characteristics of Qinling Mountains Ecosystem Pattern from 1986 to 2020

Jiange Liu, Xinshuang Wang, Junjun Wu, Lei Pan, Zhen Li, Bai Mu
article en

Abstract

The Qinling Mountains ecosystem serves as a vital ecological barrier and geographic demarcation line in China. Monitoring long-term land cover changes in the Qinling Mountains is essential for ecosystem pattern evaluation, environmental protection, and sustainable development. Focusing on the Qinling Mountains in Shaanxi Province, this study aimed to quantify the land cover changes from 1986 to 2020 using remote sensing and GIS technologies. An optimized Support Vector Machine (SVM) classification method was developed using Landsat satellite images and historical field samples. The method was employed to conduct land cover classification across eight discrete time periods: 1986, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. The average overall accuracy (OA) of the classification results for the eight time periods was 96.42%, with a Kappa coefficient (K) of 0.9230, thus confirming the reliability of the mapping results. We subsequently developed a spatiotemporal Geo-information Tupu that facilitated a detailed analysis of land cover changes in the study area across different periods. The results show the following: (1) Forest was the dominant land cover type, followed by cropland. From 1986 to 2020, the forest, impervious surface, and water body areas showed overall increasing trends, although fluctuations were observed over time, and the increase was estimated at 6677.30 km2, 557.57 km2, and 135.71 km2, respectively. In contrast, the areas of cropland, grassland, and bare soil showed a fluctuating decreasing trend, with a decrease in areal coverage of 2790.57 km2, 1528.76 km2, and 3042.66 km2, respectively. During the study period, the forest area experienced the greatest increase but maintained the lowest dynamic degree. In contrast, bare soil showed the largest decrease and the highest dynamic degree. (2) A total of 30.74% of the area underwent dynamic changes during the study period, with the most active transformation occurring after 2010; these changes were mainly manifested in the outflow of cropland (4997.27 km2), the transfer of forest (8557.43 km2), and the expansion of impervious surfaces (771.33 km2). In conclusion, the overall ecological environment is improving. The results demonstrate a land cover reconstruction process that enables the management department to rationally utilize natural resources in the Qinling Mountains.

Remote SensingVol. 17(21)
Chinese Academy of Sciences (CN), Ministry of Natural Resources (CN), Aerospace Information Research Institute (CN)
Openalex Percentile: Top 71%
Land Use and Ecosystem Services
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