Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020
文献类型：期刊论文
| 作者 | Zhu, Mengyao4; Dai, Junhu2,3,4; Wang, Huanjiong4; Alatalo, Juha M.1; Liu, Wei3,4; Hao, Yulong3,4; Ge, Quansheng3,4 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2024-01-11 |
| 卷号 | 16期号:1页码:277-293 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-16-277-2024 |
| 通讯作者 | Dai, Junhu(daijh@igsnrr.ac.cn) ; Ge, Quansheng(geqs@igsnrr.ac.cn) |
| 英文摘要 | Plant phenology refers to cyclic plant growth events, and is one of the most important indicators of climate change. Integration of plant phenology information is crucial for understanding the ecosystem response to global change and modeling the material and energy balance of terrestrial ecosystems. Utilizing 24 552 in situ phenological observations of 24 representative woody plant species from the Chinese Phenology Observation Network (CPON), we have developed maps delineating species phenology (SP) and ground phenology (GP) of forests over China from 1951 to 2020. These maps offer a detailed spatial resolution of 0.1(degrees) and a temporal resolution of 1 d. Our method involves a model-based approach to upscale in situ phenological observations to SP maps, followed by the application of weighted average and quantile methods to derive GP maps from the SP data. The resulting SP maps for the 24 woody plants exhibit a high degree of concordance with in situ observations, manifesting an average deviation of 6.9 d for spring and 10.8 d for autumn phenological events. Moreover, the GP maps demonstrate robust alignment with extant land surface phenology (LSP) products sourced from remote sensing data, particularly within deciduous forests, where the average discrepancy is 8.8 d in spring and 15.1 d in autumn. This dataset provides an independent and reliable phenology data source for China on a long-time scale of 70 years, and contributes to more comprehensive research on plant phenology and climate change at both regional and national scales. The dataset can be accessed at https://doi.org/10.57760/sciencedb.07995 (Zhu and Dai, 2023). |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; AUTUMN-LEAF SENESCENCE ; CLIMATE-CHANGE ; NORTHERN-HEMISPHERE ; TEMPERATE ; PREDICTION ; SATELLITE ; RESPONSES ; TREES ; RESOLUTION |
| 资助项目 | National Key Research and Development Program of China |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001167525900001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203136]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dai, Junhu; Ge, Quansheng |
| 作者单位 | 1.Qatar Univ, Environm Sci Ctr, Doha 2713, Qatar 2.China Pakistan Joint Res Ctr Earth Sci, CAS HEC, Islamabad 45320, Pakistan 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Mengyao,Dai, Junhu,Wang, Huanjiong,et al. Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020[J]. EARTH SYSTEM SCIENCE DATA,2024,16(1):277-293. |
| APA | Zhu, Mengyao.,Dai, Junhu.,Wang, Huanjiong.,Alatalo, Juha M..,Liu, Wei.,...&Ge, Quansheng.(2024).Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020.EARTH SYSTEM SCIENCE DATA,16(1),277-293. |
| MLA | Zhu, Mengyao,et al."Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020".EARTH SYSTEM SCIENCE DATA 16.1(2024):277-293. |
入库方式： OAI收割
来源：地理科学与资源研究所
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