A dataset of forest regrowth in globally key deforestation regions
Abstract Deforestation-induced forest loss largely affects both the carbon budget and ecosystem services. Subsequent forest regrowth plays a crucial role in ecosystem restoration and carbon replenishment. However, there is an absence of comprehensive datasets explicitly delineating the forest regrow...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04481-3 |
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| author | Jinlong Zang Feng Qiu Yongguang Zhang Rong Shang Yunjian Liang |
| author_facet | Jinlong Zang Feng Qiu Yongguang Zhang Rong Shang Yunjian Liang |
| author_sort | Jinlong Zang |
| collection | DOAJ |
| description | Abstract Deforestation-induced forest loss largely affects both the carbon budget and ecosystem services. Subsequent forest regrowth plays a crucial role in ecosystem restoration and carbon replenishment. However, there is an absence of comprehensive datasets explicitly delineating the forest regrowth following deforestation. Here we employed multiple remotely sensed datasets to generate the first dataset capturing forest structural regrowth, including forest height, aboveground biomass (AGB), leaf area index (LAI), and fraction of photosynthetically active radiation (FPAR), subsequent to deforestation in globally key deforestation regions at a 30 m spatial resolution. The regrowth index for each structural parameter includes regrowth ratios and rates at 5-year intervals spanning primarily from 1985 to 2020. This dataset provides a nuanced understanding of forest regrowth following deforestation across spatial, temporal, and structural scales, thereby facilitating accurate quantification of forest carbon budget and enhancing assessments of forest ecological services. |
| format | Article |
| id | doaj-art-7276184471104512be1fadae0e155780 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-7276184471104512be1fadae0e1557802025-01-26T12:15:02ZengNature PortfolioScientific Data2052-44632025-01-0112111410.1038/s41597-025-04481-3A dataset of forest regrowth in globally key deforestation regionsJinlong Zang0Feng Qiu1Yongguang Zhang2Rong Shang3Yunjian Liang4International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing UniversityNanjing Institute of Environmental Science, Ministry of Ecology and Environment of ChinaInternational Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing UniversityKey Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal UniversityKey Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal UniversityAbstract Deforestation-induced forest loss largely affects both the carbon budget and ecosystem services. Subsequent forest regrowth plays a crucial role in ecosystem restoration and carbon replenishment. However, there is an absence of comprehensive datasets explicitly delineating the forest regrowth following deforestation. Here we employed multiple remotely sensed datasets to generate the first dataset capturing forest structural regrowth, including forest height, aboveground biomass (AGB), leaf area index (LAI), and fraction of photosynthetically active radiation (FPAR), subsequent to deforestation in globally key deforestation regions at a 30 m spatial resolution. The regrowth index for each structural parameter includes regrowth ratios and rates at 5-year intervals spanning primarily from 1985 to 2020. This dataset provides a nuanced understanding of forest regrowth following deforestation across spatial, temporal, and structural scales, thereby facilitating accurate quantification of forest carbon budget and enhancing assessments of forest ecological services.https://doi.org/10.1038/s41597-025-04481-3 |
| spellingShingle | Jinlong Zang Feng Qiu Yongguang Zhang Rong Shang Yunjian Liang A dataset of forest regrowth in globally key deforestation regions Scientific Data |
| title | A dataset of forest regrowth in globally key deforestation regions |
| title_full | A dataset of forest regrowth in globally key deforestation regions |
| title_fullStr | A dataset of forest regrowth in globally key deforestation regions |
| title_full_unstemmed | A dataset of forest regrowth in globally key deforestation regions |
| title_short | A dataset of forest regrowth in globally key deforestation regions |
| title_sort | dataset of forest regrowth in globally key deforestation regions |
| url | https://doi.org/10.1038/s41597-025-04481-3 |
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