Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)
文献类型：期刊论文
| 作者 | Liu, Ying3,4; Wu, Chaoyang3,4; Tian, Feng2; Wang, Xiaoyue3,4; Gamon, John A.1,10,11; Wong, Christopher Y. S.5,6; Zhang, Xiaoyang7; Gonsamo, Alemu8; Jassal, Rachhpal S.9 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2022-09-15 |
| 卷号 | 324页码:15 |
| 关键词 | Phenology Gross Primary Productivity Photochemical Reflectance Index NDVI EVI |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2022.109095 |
| 通讯作者 | Wu, Chaoyang(wucy@igsnrr.ac.cn) |
| 英文摘要 | Vegetation phenology is a sensitive indicator of ecosystem responses to climate change, and thus the accurate estimation of vegetation phenology is critical to evaluate the impact of climate change on terrestrial ecosystems. Common structural vegetation indices (VIs) such as the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Near-infrared Reflectance of Vegetation (NIRv) and Plant Phenology Index (PPI), are the most widely used indicators of phenology, but they have limited potential in tracking autumn phenology, especially for evergreen species with low seasonal variability of canopy greenness. Given the important role of carotenoid pigments in regulating photosynthetic activity and plant phenology, we hypothesize that satellite-based indicators of leaf pigments derived from MODIS ocean bands could be useful for phenology modeling. Using 624 site-years of flux data at 84 FLUXNET sites and 9979 ground observations at 138 PEP725 sites, we first explored the potential of different forms of scaled photochemical reflectance index (sPRI(ref)) in monitoring photosynthetic activity, and found that band 10 and band 13 were more suitable for tracking gross primary productivity (GPP) than other reference bands. By comparing with canopy photosynthetic phenology, sPRI(10) and sPRI(13) showed improved representation of phenological transitions (the start and end of growing season, SOS and EOS, respectively) than structural VIs. In spring, all VIs exhibited comparable performances for estimating SOS at deciduous broadleaf forests (DBF) and grasslands (GRA) sites; however, sPRI(10) and sPRI(13) were better predictors of SOS than structural VIs at evergreen needleleaf forests (ENF) and mixed forests (MF) sites. In autumn, sPRI(10) and sPRI(13) showed improved predictive strength of EOS than structural VIs for ENF, MF and GRA sites. Further investigations using the ground observed phenological records also confirmed the improved performances of sPRI(10) and sPRI(13) for both SOS and EOS estimation. We also investigated the spatial patterns of sPRI(10)-derived SOS and EOS over the Northern Hemisphere with respect to different plant functional types. We showed that sPRI(10) reliably tracked plant phenology with 83.0% and 78.8% success in detecting SOS and EOS, respectively. Spatial patterns of SOS exhibited obvious latitudinal gradients, while EOS showed a strong regional heterogeneity. In addition, sPRI(10) predicted an overall earlier SOS (61.8%) and later EOS (51.2%) than the MODIS phenology product (VNP22Q2 v001) estimated from structural VI, suggesting the latter underestimated the greening potential of the Northern Hemisphere. Our results suggest that MODIS PRI could be useful to monitor vegetation phenology, and further reveal the importance of underappreciated carotenoid pigments in tracking plant seasonal changes, particularly in autumn months. |
| WOS关键词 | LIGHT-USE EFFICIENCY ; LAND-SURFACE PHENOLOGY ; RADIATION-USE EFFICIENCY ; GROSS PRIMARY PRODUCTION ; NET ECOSYSTEM PRODUCTIVITY ; AUTUMN-LEAF SENESCENCE ; CARBON-DIOXIDE UPTAKE ; GREEN-UP DATE ; DECIDUOUS FOREST ; VEGETATION PHENOLOGY |
| 资助项目 | National Key R&D program of China[2018YFA0606101] ; National Natural Science Foundation of China[42125101] ; CAS Interdisciplinary Innovation Team[JCTD-2020-05] ; CDIAC ; NASA ABoVE grant[NNX15AT78A] ; ICOS Ecosystem Thematic Center ; OzFlux office ; ChinaFlux office ; AsiaFlux office |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000861218300006 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D program of China ; National Natural Science Foundation of China ; CAS Interdisciplinary Innovation Team ; CDIAC ; NASA ABoVE grant ; ICOS Ecosystem Thematic Center ; OzFlux office ; ChinaFlux office ; AsiaFlux office |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185062]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Chaoyang |
| 作者单位 | 1.Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada 2.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China 5.Univ Toronto Mississauga, Dept Biol, Mississauga, ON L5L 1C6, Canada 6.Univ Toronto, Grad Program Ecol & Evolutionary Biol, Toronto, ON M5S 3B2, Canada 7.South Dakota State Univ, Geospatial Sci Ctr Excellence GSCE, Dept Geog, 1021 Medary Ave,Wecota Hall 506B, Brookings, SD 57007 USA 8.McMaster Univ, Sch Earth Environm & Soc, 1280 Main St West, Hamilton, ON L8S 4L8, Canada 9.Univ British Columbia, 136-2357 Main Mall, Vancouver, BC V6T 1Z4, Canada 10.Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2E9, Canada |
| 推荐引用方式 GB/T 7714 | Liu, Ying,Wu, Chaoyang,Tian, Feng,et al. Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)[J]. AGRICULTURAL AND FOREST METEOROLOGY,2022,324:15. |
| APA | Liu, Ying.,Wu, Chaoyang.,Tian, Feng.,Wang, Xiaoyue.,Gamon, John A..,...&Jassal, Rachhpal S..(2022).Modeling plant phenology by MODIS derived photochemical reflectance index (PRI).AGRICULTURAL AND FOREST METEOROLOGY,324,15. |
| MLA | Liu, Ying,et al."Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)".AGRICULTURAL AND FOREST METEOROLOGY 324(2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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