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Abstract
Agricultural reclamation is widely regarded as a primary cause of marshes degradation. However, the process of marshes degradation on different geomorphology has rarely explored, which fail to explain the marshes degradation driven by natural restrictions in detail. The information deficiency unable propounded the targeted suggestions for the sustainable management of marshes. According to the development of China, we quantified the degradation rate of marshes on different geomorphic types from 1954 to 2020 in a typical transect in the Sanjiang Plain. The results indicated that (1) A total of 1633.92 km2 of marshes reduced from 1954 to 2020. And 97% (1582.35 km2) of marshes were converted to crop cultivation. The process of marshes degradation had obvious historical stages characteristics. The marshes degradation rate showed a trend of increasing first and then decreasing. The most serious period was 1995–2005 (6.29%) which was approximately 35 times of the period of before the reform and opening up (1954–1976) a minimal shrunk period. (2) The background of geological tectonic decided the whole trends in marshes degradation process. The degradation occurred first and worst in the meco-scale recent slow ascent region, and then extended to substantially recent slow subsidence region and the small-amplitude recent slow ascent region. (3) Significant location characteristics of marshes degradation reflected in this research. The spatial location of marshes degradation on the sub-regions sequentially consisted of alluvial plain, lower terrace, high floodplain, micro-knoll, low floodplain, and depressions. (4) Most of the existing marshes of the sub-Sanjiang Plain distribution in the national reserves. This study provides important scientific information for restoration and conservation of marshes.
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Details
1 Chinese Academy of Science, Northeast Institute of Geography and Agroecology, Changchun, People’s Republic of China (GRID:grid.453213.2) (ISNI:0000 0004 1793 2912); University of Chinese Academy of Sciences, Beijing, People’s Republic of China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419)
2 Chinese Academy of Science, Northeast Institute of Geography and Agroecology, Changchun, People’s Republic of China (GRID:grid.453213.2) (ISNI:0000 0004 1793 2912)
3 Guilin University of Technology, College of Geomatics and Geoinformation, Guilin, People’s Republic of China (GRID:grid.440725.0) (ISNI:0000 0000 9050 0527)