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15 November 2023 Spatio-temporal evolution of land use and carbon sink effect of forest ecosystem in Dabie Mountains
Wanfu Feng, Yanxiang Shan, Jingyu Wang, Pengfei Li, Qian Tang, Man Zhang, Xiaojuan Ren, Guodong Li
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Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151A (2023) https://doi.org/10.1117/12.3010637
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
Studying the spatial and temporal variation characteristics of land use and forest carbon sink effect in the Dabie Mountains is of great significance for optimizing the regional land use structure, forest ecosystem restoration and carbon balance. This paper is based on the eddy correlation system of the National Field Scientific Observation and Research Station of Forest Ecosystem in Dabie Mountains, Henan and spatial-temporal distribution model of geographic information system. The spatial-temporal distribution characteristics of land use/cover change and the carbon sink effect of the evergreen deciduous broad-leaved mixed forest ecosystem in Dabie Mountains were revealed by using the method of geo-information map. The results show that: from 1980 to 2020, the balance of land use/cover types showed unbalanced-balanced-balanced-unbalanced, and the fluctuation trend of the annual change ratio was small-big-big-small. Paddy fields, dry land, and construction land change most frequently. On monthly and seasonal scales, the forest ecosystem in the Dabie Mountains generally has a certain carbon sink effect.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Wanfu Feng, Yanxiang Shan, Jingyu Wang, Pengfei Li, Qian Tang, Man Zhang, Xiaojuan Ren, and Guodong Li "Spatio-temporal evolution of land use and carbon sink effect of forest ecosystem in Dabie Mountains", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151A (15 November 2023); https://doi.org/10.1117/12.3010637
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KEYWORDS
Carbon
Ecosystems
Climatology
Geographic information systems
Scientific research
Vegetation
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