Tracking long-term wetland dynamics based on sample migration and two-stage hierarchical classification: A case study of Jiangsu Province

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jingtai Li , Xiaorou He , Yao Liu , Chenyan Zhang , Xiaowei Wu , Dandan Yan , Zhaoqing Luan
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引用次数: 0

Abstract

Wetlands play crucial ecological roles in carbon sequestration, flood control, and biodiversity preservation. The effective long-term monitoring of wetland dynamics is essential for sustainable management and conservation. However, obtaining wetland samples over multiple years and ensuring high classification accuracy pose unique challenges for precise extraction and spatiotemporal analyses. To address these issues, a sample migration algorithm was used to describe the interannual migration of wetland classification samples. The object-based hierarchical random forest (OBHRF) and object-based hierarchical decision tree (OBHDT) methods were integrated and combined with Landsat time-series data to map 11 wetland types and assess wetland dynamics in Jiangsu Province from 1985 to 2021. Change detection was used to investigate the land-use or landcover factors driving wetland dynamics, and a multivariate linear regression model was used to investigate the factors affecting interannual changes in wetland area. The optimal threshold for the cross-year migration of wetland samples occurred at a Euclidean distance ≤ 0.09, and a spectral angular distance ≥ 0.97. The overall accuracy of the wetland maps exceeded 79.36 %. Spatiotemporal dynamic analysis revealed a decline in the natural wetland area from 41.61 × 103 km2 to 39.12 × 103 km2, with over 68.5 % of the loss attributed to the expansion of aquaculture ponds and dry farmland from 1985 to 2021. Artificial wetlands increased from 31.71 × 103 km2 to 35.38 × 103 km2, with over 78.66 % of the gain attributed to the reduction in dry farmland. Policy-regulated economic development and population size were the main factors affecting changes in wetland areas. This study successfully mapped detailed long-term wetland maps and identified the drivers of wetland dynamics. The findings of this study provide an important reference for accurate wetland classification and contribute to the sustainable utilization and protection of wetlands in Jiangsu and across China.
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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