Estimation of Spatial-Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China
文献类型:期刊论文
作者 | Zhang, Zhipeng; Wang, Zong4; Zhang, Xiaoyuan3; Yang, Shijie2 |
刊名 | REMOTE SENSING
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出版日期 | 2024-08-01 |
卷号 | 16期号:16页码:3098 |
关键词 | potential afforestation land spatial distribution pattern afforestation quality index dynamic assessment carbon sequestration capacity |
DOI | 10.3390/rs16163098 |
产权排序 | 2 |
文献子类 | Article |
英文摘要 | Afforestation is an important way to effectively reduce carbon emissions from human activities and increase carbon sinks in forest ecosystems. It also plays an important role in climate change mitigation. Currently, few studies have examined the spatiotemporal dynamics of future afforestation areas, which are crucial for assessing future carbon sequestration in forest ecosystems. In order to obtain the dynamic distribution of potential afforestation land over time under future climate change scenarios in China, we utilized the random forest method in this study to calculate weights for the selected influencing factors on potential afforestation land, such as natural vegetation attributes and environmental factors. The weight hierarchy approach was used to calculate the afforestation quality index of different regions in different 5-year intervals from 2021 to 2060 and extract high-quality potential afforestation lands in each period. By dynamically analyzing the distribution and quality of potential afforestation land from 2021 to 2060, we can identify optimal afforestation sites for each period and formulate a progressive afforestation plan. This approach allows for a more accurate application of the FCS model to evaluate the dynamic changes in the carbon sequestration capacity of newly afforested land from 2021 to 2060. The results indicate that the average potential afforestation land area will reach 75 Mha from 2021 to 2060. In the northern region, afforestation areas are mainly distributed on both sides of the Hu Line, while in the southern region, they are primarily distributed in the Yunnan-Guizhou Plateau and some coastal provinces. By 2060, the potential calculated cumulative carbon storage of newly afforested lands was 11.68 Pg C, with a peak carbon sequestration rate during 2056-2060 of 0.166 Pg C per year. Incorporating information on the spatiotemporal dynamics of vegetation succession, climate production potential, and vegetation resilience while quantifying the weights of each influencing factor can enhance the accuracy of predictions for potential afforestation lands. The conclusions of this study can provide a reference for the formulation of future afforestation plans and the assessment of their carbon sequestration capacity. |
WOS关键词 | FOREST ; CLASSIFICATION ; RESILIENCE ; CONVERSION ; STORAGE ; SYSTEM ; STATES ; STOCKS |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001305411900001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/208015] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Wang, Zong |
作者单位 | 1.Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China 2.Beijing Technol & Business Univ, Business Sch, Beijing 100048, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Beijing Forestry Univ, Coll Forestry, Precis Forestry Key Lab Beijing, Beijing 100083, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Zhipeng,Wang, Zong,Zhang, Xiaoyuan,et al. Estimation of Spatial-Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China[J]. REMOTE SENSING,2024,16(16):3098. |
APA | Zhang, Zhipeng,Wang, Zong,Zhang, Xiaoyuan,&Yang, Shijie.(2024).Estimation of Spatial-Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China.REMOTE SENSING,16(16),3098. |
MLA | Zhang, Zhipeng,et al."Estimation of Spatial-Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China".REMOTE SENSING 16.16(2024):3098. |
入库方式: OAI收割
来源:地理科学与资源研究所
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