Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity
文献类型:期刊论文
作者 | Xie, Xinyao2; Li, Ainong1,2 |
刊名 | GEO-SPATIAL INFORMATION SCIENCE |
出版日期 | 2023-11-12 |
页码 | 12 |
ISSN号 | 1009-5020 |
关键词 | Gross primary productivity spatial downscaling scaling errors mountainous areas |
DOI | 10.1080/10095020.2023.2265149 |
英文摘要 | High spatial resolution Gross Primary Productivity (GPP) estimation makes it feasible to better understand the spatial heterogeneity of mountain vegetation photosynthesis. Spatial downscaling is a practical approach to obtaining high resolution GPP estimates, whereas there is almost no attention given to the downscaled biases resulted from the widely reported scaling errors in medium or coarse resolution GPP estimates. To fill the above gap, this study adopted an eco-hydrological model to obtain 960 m resolution distributed GPP estimates (not including scaling errors) and lumped GPP estimates (including scaling errors) over four mountainous watersheds. Then, the distributed and lumped estimates were downscaled from 960 m to 30 m, respectively. Finally, the contribution of reducing scaling errors was characterized by the agreement index (d), BIAS and Root-Mean-Square-Error (RMSE) values between downscaled GPP and referenced GPP (directly generated at the spatial resolution of 30 m). Results showed that a large difference existed between lumped and distributed GPP, with d, BIAS, and RMSE of 0.79, 212, and 334 gC m-2 year-1, demonstrating that the scaling errors should be given enough attention to current coarse resolution GPP estimates. Before considering the scaling errors, large uncertainties were observed in the GPP downscaled from lumped values, with d, BIAS, and RMSE of 0.68, 220, and 480 gC m-2 year-1. After considering the scaling errors, a significant improvement was achieved in the GPP downscaled from distributed values, with an increased d value of 0.81, a decreased BIAS value of 10 gC m-2 year-1, and a decreased RMSE value of 388 gC m-2 year-1, indicating that reducing the medium or coarse resolution scaling errors would effectively improve the spatial downscaling of mountain vegetation GPP. Our study highlights the effect of scaling errors on the spatial downscaling of mountain vegetation productivity, which should be given more attention in the future carbon modeling. |
WOS关键词 | LIGHT-USE EFFICIENCY ; SOIL-MOISTURE ; BOREAL ECOSYSTEM ; MODEL ; CARBON ; FOREST ; EVAPOTRANSPIRATION ; FLUXES ; WATER ; PHOTOSYNTHESIS |
资助项目 | National Natural Science Foundation of China[42201418] ; 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] ; Postdoctoral Science Foundation of China[2023T160627] ; Chinese Academy of Sciences Youth Innovation Promotion Association[2023390] ; Chinese Academy of Sciences Special Research Assistant Program ; National Key Research and Development Program of China[2020YFA0608700] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:001102589800001 |
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 ; National Key Research and Development Program of China |
源URL | [http://ir.imde.ac.cn/handle/131551/57724] |
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 | Xie, Xinyao; Li, Ainong |
作者单位 | 1.Wanglang Mt Remote Sensing Observat & Res Stn Sich, Mianyang, Peoples R China 2.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu, Peoples R China |
推荐引用方式 GB/T 7714 | Xie, Xinyao,Li, Ainong. Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity[J]. GEO-SPATIAL INFORMATION SCIENCE,2023:12. |
APA | Xie, Xinyao,&Li, Ainong.(2023).Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity.GEO-SPATIAL INFORMATION SCIENCE,12. |
MLA | Xie, Xinyao,et al."Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity".GEO-SPATIAL INFORMATION SCIENCE (2023):12. |
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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