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| DOI | 10.1016/j.ecoinf.2024.102566 |
| Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains | |
| 发表日期 | 2024 |
| ISSN | 1574-9541 |
| EISSN | 1878-0512 |
| 起始页码 | 81 |
| 卷号 | 81 |
| 英文摘要 | The forest ecosystem plays a pivotal role in the global carbon cycle and is crucial for investigating atmospheric carbon exchanges. Forest biomass, a fundamental quantitative measure of the forest ecosystem, serves as a critical indicator for forest carbon stocks and carbon sequestration capacity. This study utilizes the GIMMS NDVI3g dataset to downscale forest inventory data spanning from 1989 to 2018, creating a 1 km resolution map of forest biomass density in the Qinba Mountains. The density initially decreased but has been increasing since 2004. The northern region of the Qinba Mountains exhibits a high forest biomass density (>100 Mg/hm(2)), while the southern region has relatively lower biomass density. This study provides the longest-term estimation of forest biomass density in the Qinba Mountains to date. It serves as a foundation for regional-scale forest carbon sequestration management and carbonization decision-making. This research is of significant importance for enhancing understanding of regional carbon cycling and supporting sustainable ecological development. |
| 英文关键词 | Forest biomass density; Forest inventories; Carbon storage; NDVI; Qinba Mountains |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Ecology |
| WOS记录号 | WOS:001218778300001 |
| 来源期刊 | ECOLOGICAL INFORMATICS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/293302 |
| 作者单位 | Anhui Normal University; Wuhan University; Northwest University Xi'an |
| 推荐引用方式 GB/T 7714 | . Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains[J],2024,81. |
| APA | (2024).Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains.ECOLOGICAL INFORMATICS,81. |
| MLA | "Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains".ECOLOGICAL INFORMATICS 81(2024). |
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