NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations
文献类型：期刊论文
| 作者 | Chen, Siyuan5,6,7; Sui, Lichun6; Liu, Liangyun1,5,7; Liu, Xinjie5,7; Li, Jonathan4; Huang, Lingxiao2,3; Li, Xing9; Qian, Xiaojin8 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 122页码:11 |
| ISSN号 | 1569-8432 |
| 关键词 | Gross primary production Light use efficiency Near-infrared radiation reflected by vegetation Biomes Climate zones |
| DOI | 10.1016/j.jag.2023.103437 |
| 通讯作者 | Liu, Liangyun(liuly@radi.ac.cn) |
| 英文摘要 | The product of near-infrared radiation reflected by vegetation (NIRv) and PAR (NIRvP) is a promising proxy for the remote estimation of gross primary production (GPP). However, the efficiency of NIRvP in estimating the GPP and its limitations across multiple biomes and climate zones remain unclear. In this study, we aimed to evaluate the performance and limitations of NIRvP in estimating the GPP in comparison to absorbed photosynthetically active radiation (APAR), solar-induced chlorophyll fluorescence (SIF), and the MOD17A2H GPP product. Overall, the correlation between NIRvP and eddy covariance (EC) GPP was stronger than that of APAR, SIF, and MOD17A2H GPP across most biomes with usually similar seasonal variations in radiation, air temperature (TA), and precipitation. The near-infrared (NIR) reflectance (rho(NIR)) and light use efficiency (LUE) exhibited a covarying relationship under these environmental conditions, which suggested that the pNIR contributed positively to the NIRvP-GPP relationship under such climatic conditions. However, the performance of NIRvP was poor in some biomes and climate zones, which exhibited different variations in the seasonal patterns of radiation, TA, and precipitation. The resulting inconsistencies between rho(NIR) and LUE implied that the rho(NIR) contributed negatively to the NIRvP-GPP relationship in these regions. Altogether, the findings demonstrated that the NIRvP-GPP relationship was robust but attained a moderate overall relationship across ecosystems (R-2 < 0.50) in the majority of biomes and climate zones. In addition, this study also elucidated the limitations of NIRvP as a GPP proxy in certain climate zones, which was attributed to the synergistic contributions of APAR and rho(NIR) in the NIRvP-GPP relationship. |
| WOS关键词 | PHOTOSYNTHETICALLY ACTIVE RADIATION ; LIGHT-USE EFFICIENCY ; LEAF-AREA INDEX ; TERRESTRIAL ECOSYSTEM ; CARBON-DIOXIDE ; VEGETATION ; CHLOROPHYLL ; FLUORESCENCE ; FRACTION ; REFLECTANCE |
| 资助项目 | National Key Research and Development Program of China[2022YFB3904801] ; National Natural Science Foundation of China[42071310] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001063711500001 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197914]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Liangyun |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100101, 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.Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada 5.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 6.Changan Univ, Coll Geol Engn & Geomatics, Xian 710054, Peoples R China 7.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China 8.Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Peoples R China 9.Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul 08826, South Korea |
| 推荐引用方式 GB/T 7714 | Chen, Siyuan,Sui, Lichun,Liu, Liangyun,et al. NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2023,122:11. |
| APA | Chen, Siyuan.,Sui, Lichun.,Liu, Liangyun.,Liu, Xinjie.,Li, Jonathan.,...&Qian, Xiaojin.(2023).NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,122,11. |
| MLA | Chen, Siyuan,et al."NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 122(2023):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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