The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China
Forest fire as a common disturbance has an important role in the terrestrial ecosystem carbon cycling. However, the causes and impacts of longtime burned areas on carbon cycling need further exploration. In this study, we exploit Thematic Mapper (TM) and Moderate Resolution Imaging Spectroradiometer...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/5/1364 |
| _version_ | 1797614473343664128 |
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| author | Lili Feng Wenneng Zhou |
| author_facet | Lili Feng Wenneng Zhou |
| author_sort | Lili Feng |
| collection | DOAJ |
| description | Forest fire as a common disturbance has an important role in the terrestrial ecosystem carbon cycling. However, the causes and impacts of longtime burned areas on carbon cycling need further exploration. In this study, we exploit Thematic Mapper (TM) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to develop a quick and efficient method for large-scale forest fire dynamic monitoring in China. Band 2, band 4, band 6, and band 7 of MOD09A1 were selected as the most sensitive bands for calculating the Normalized Difference Fire Index (NDFI) to effectively estimate fire burned area. The Convergent Cross Mapping (CCM) algorithm was used to analyze the causes of the forest fire. A trend analysis was used to explore the impacts of forest fire on Gross Primary Productivity (GPP). The results show that the burned area has an increased tendency from 2009 to 2018. Forest fire is greatly influenced by natural factors compared with human factors in China. But only 30% of the forest fire causes GPP loss. The loss is mainly concentrated in the northeast forest region. The results of this study have important theoretical significance for vegetation restoration of the burned area. |
| first_indexed | 2024-03-11T07:11:55Z |
| format | Article |
| id | doaj.art-d0abd6e3e1554637b0e35f7c4cb1e08d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T07:11:55Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d0abd6e3e1554637b0e35f7c4cb1e08d2023-11-17T08:32:04ZengMDPI AGRemote Sensing2072-42922023-02-01155136410.3390/rs15051364The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in ChinaLili Feng0Wenneng Zhou1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaGuangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, ChinaForest fire as a common disturbance has an important role in the terrestrial ecosystem carbon cycling. However, the causes and impacts of longtime burned areas on carbon cycling need further exploration. In this study, we exploit Thematic Mapper (TM) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to develop a quick and efficient method for large-scale forest fire dynamic monitoring in China. Band 2, band 4, band 6, and band 7 of MOD09A1 were selected as the most sensitive bands for calculating the Normalized Difference Fire Index (NDFI) to effectively estimate fire burned area. The Convergent Cross Mapping (CCM) algorithm was used to analyze the causes of the forest fire. A trend analysis was used to explore the impacts of forest fire on Gross Primary Productivity (GPP). The results show that the burned area has an increased tendency from 2009 to 2018. Forest fire is greatly influenced by natural factors compared with human factors in China. But only 30% of the forest fire causes GPP loss. The loss is mainly concentrated in the northeast forest region. The results of this study have important theoretical significance for vegetation restoration of the burned area.https://www.mdpi.com/2072-4292/15/5/1364forest fireMOD09A1NDFIGPPChina |
| spellingShingle | Lili Feng Wenneng Zhou The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China Remote Sensing forest fire MOD09A1 NDFI GPP China |
| title | The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China |
| title_full | The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China |
| title_fullStr | The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China |
| title_full_unstemmed | The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China |
| title_short | The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China |
| title_sort | forest fire dynamic change influencing factors and the impacts on gross primary productivity in china |
| topic | forest fire MOD09A1 NDFI GPP China |
| url | https://www.mdpi.com/2072-4292/15/5/1364 |
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