A Practical Algorithm for Correcting Topographical Effects on Global GPP Products
文献类型：期刊论文
| 作者 | Xie, Xinyao5 ; Chen, Jing M.3,4; Yuan, Wenping2; Guan, Xiaobin1; Jin, Huaan5; Leng, Jiye4
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| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
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| 出版日期 | 2023-08-01 |
| 卷号 | 128期号:8页码:21 |
| ISSN号 | 2169-8953 |
| 关键词 | GPP data sets vegetation photosynthesis topographical effect mountainous areas BEPS-TerrainLab |
| DOI | 10.1029/2023JG007553 |
| 通讯作者 | Chen, Jing M.(jing.chen@utoronto.ca) |
| 英文摘要 | Vegetation in mountainous areas contributes about 36% to the global gross primary productivity (GPP). However, the influences of topography on radiation and water redistributions in mountain ecosystems are so far ignored in existing global GPP data sets. Here, an eco-hydrological model was adopted to simulate 30 m resolution mountain and flat GPP over 16 watersheds. Then, a topographical correction index (TCI) was developed based on simulated soil water redistribution (TCIwater), radiation redistribution (TCIrad), and redistribution of climate factors (TCIclim). Finally, the proposed TCI was applied to four GPP data sets. The mean-bias-error (MBE), determination coefficient (R-2), and Root-Mean-Square-Error (RMSE) between mountain GPP and flat GPP (or GPP data sets) were used for evaluation. Results showed that the MBE of flat GPP before correction (194 g C m(-2) yr(-1)) was reduced to 126, 94, and 2 g C m(-2) yr(-1) after the corrections of TCIwater, TCIrad, and TCIclim, highlighting the effectiveness of integrated redistribution information in correcting the topographical effect on GPP estimation. The relationship between mountain and flat GPP after the TCI correction was improved at the 30 m resolution (increasing R-2 by 0.09 and reducing RMSE by 90 g C m(-2) yr(-1)) and 480 m resolution (increasing R-2 by 0.13 and reducing RMSE by 178 g C m(-2) yr(-1)). Regarding the four GPP data sets after the TCI correction, the MBE of 183 g C m(-2) yr(-1) was averagely reduced to 17 g C m(-2) yr(-1), and RMSE was reduced by 118 g C m(-2) yr(-1) at 480 m resolution. This study suggests that integrating topography-induced interactions into current GPP data sets is a feasible way to understand the carbon budget in mountain ecosystems. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTIVITY ; PONDEROSA PINE FOREST ; USE EFFICIENCY MODEL ; CARBON-DIOXIDE ; STOMATAL CONDUCTANCE ; MIXED FOREST ; ECOSYSTEM ; WATER ; EVAPOTRANSPIRATION |
| 资助项目 | National Natural Science Foundation of China[42201418] ; National Natural Science Foundation of China[42071352] ; Science and Technology Research Program of Institute of Mountain Hazards and Environment Chinese Academy of Sciences[IMHE-ZYTS-05] ; Postdoctoral Science Foundation of China[2021M700139] ; Chinese Academy of Sciences Youth Innovation Promotion Association[2023390] ; Chinese Academy of Sciences Special Research Assistant Program |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:001040668400001 |
| 资助机构 | National Natural Science Foundation of China ; Science and Technology Research Program of Institute of Mountain Hazards and Environment Chinese Academy of Sciences ; Postdoctoral Science Foundation of China ; Chinese Academy of Sciences Youth Innovation Promotion Association ; Chinese Academy of Sciences Special Research Assistant Program |
| 源URL | [http://ir.imde.ac.cn/handle/131551/57568]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Chen, Jing M. |
| 作者单位 | 1.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China 2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China 3.Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China 4.Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada 5.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Xinyao,Chen, Jing M.,Yuan, Wenping,et al. A Practical Algorithm for Correcting Topographical Effects on Global GPP Products[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2023,128(8):21. |
| APA | Xie, Xinyao,Chen, Jing M.,Yuan, Wenping,Guan, Xiaobin,Jin, Huaan,&Leng, Jiye.(2023).A Practical Algorithm for Correcting Topographical Effects on Global GPP Products.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,128(8),21. |
| MLA | Xie, Xinyao,et al."A Practical Algorithm for Correcting Topographical Effects on Global GPP Products".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 128.8(2023):21. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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