生态学杂志2024，Vol.43Issue(6)：1859-1869,11.DOI:10.13292/j.1000-4890.202406.006
基于多种遥感产品的青藏高原长时间序列总初级生产力对比分析
Comparative analysis of gross primary productivity in the Qinghai-Tibet Plateau based on long-time series of remote sensing products
摘要
Abstract
The Qinghai-Tibet Plateau is a hotspot in the research of terrestrial carbon cycling.In the context of global climate change,gross primary production(GPP)plays a crucial role in regional carbon cycle.Model simula-tion combined with remote sensing data aids in understanding the changes of ecosystem productivity at the regional scale across the Qinghai-Tibet Plateau and predicts its future trends.With six common remote sensing GPP products(GLASS,MODIS MOD17A2,FLUXCOM,VODCA2,improved EC-LUE data,and VPM data)being validated by eddy covariance flux observation data from three sites(Haibei shrub,Haibei wetland,and Damxung),we used them to analyze the spatial distribution pattern and temporal change trend of GPP in the Qinghai-Tibet Plateau eco-systems from 2001 to 2015.We found significant differences in annual mean GPP,annual total GPP spatial distri-bution pattern,and the trends across different remote sensing GPP datasets.The trends calculated based on the six products are-0.77 g C·m-2·a-1(GLASS),3.63 g C·m-2·a-1(MOD17A2),-1.21 g C·m-2·a-1(FLUX-COM),1.53 g C·m-2·a-1(VODCA2),4.73 g C·m-2·a-1(VPM),and-0.81 g C·m-2·a-1(improved EC-LUE).The overall spatial distribution of multi-year mean GPP generally displays a pattern of higher values in the southeast and lower values in the northwest,with significant regional variations.The GLASS product shows the highest multi-year average annual GPP(827.78 Tg C·a-1),while the MOD17A2 product shows the lowest(484.04 Tg C·a-1).The other products(VODCA2,improved EC-LUE,VPM,and FLUXCOM)report 827.20 Tg C·a-1,714.55 Tg C·a-1,634.00 Tg C·a-1,and 587.86 Tg C·a-1,respectively.Over the 15 years from 2001 to 2015,the regions with the most significant changes in GPP are consistent across the plateau,with the most intense changes in the southeast and the most stable in the west.Site data validation indicates that MOD17A2 per-forms relatively better on an 8-day scale,whereas the FLUXCOM dataset shows superior results on a monthly scale.Combined with its performance at the regional scale,the MOD17A2 dataset is more suitable for the Qinghai-Tibet Plateau region.关键词
光能利用率模型/VPM/VODCA2/FLUXCOM/MODISKey words
eddy covariance-light use efficiency(EC-LUE)model/VPM/VODCA2/FLUXCOM/MODIS引用本文复制引用
廖玮杰,焦悦,李世禧,胡中民,白磊..基于多种遥感产品的青藏高原长时间序列总初级生产力对比分析[J].生态学杂志,2024,43(6):1859-1869,11.基金项目
国家自然科学基金资助项目(32260294)和第二次青藏高原综合科学考察研究项目(2019QZKK0405)资助. （32260294）
