Climatic driving forces in inter-annual variation of global FPAR

Dailiang Peng; Liangyun Liu; Xiaohua Yang; Bin Zhou

doi:10.1117/12.971188

23 October 2012 Climatic driving forces in inter-annual variation of global FPAR

Dailiang Peng, Liangyun Liu, Xiaohua Yang, Bin Zhou

Proceedings Volume 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV; 853121 (2012) https://doi.org/10.1117/12.971188
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

Abstract

Fraction of Absorbed Photosynthetically Active Radiation (FPAR) characterizes vegetation canopy functioning and its energy absorption capacity. In this paper, we focus on climatic driving forces in inter-annual variation of global FPAR from 1982 to 2006 by Global Historical Climatology Network (GHCN-Monthly) data. Using FPAR-Simple Ratio Vegetation Index (SR) relationship, Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) was used to estimate FPAR at the global scale. The correlation between inter-annual variation of FPAR and temperature, precipitation derived from GHCN-Monthly was examined, during the periods of March-May (MAM), June-August (JJA), September-November (SON), and December–February (DJF) over from 1982 to 2006. The analysis of climatic influence on global FPAR revealed the significant correlation with temperature and precipitation in some meteorological stations area, and a more significant correlation with precipitation was found than which with temperature. Some stations in the regions between 30° N and 60° N and around 30° S in South America, where the annual FPAR variation showed a significant positive correlation with temperature (P < 0.01 or P < 0.05) during MAM, SON, and DJF, as well as in Europe during MAM and SON period. A negative correlation for more stations was observed during JJA. For precipitation, there were many stations showed a significant positive correlation with inter-annual variation of global FPAR (P < 0.01 or P < 0.05), especially for the tropical rainfall forest of Africa and Amazon during the dry season of JJA and SON.

Citation Download Citation

Dailiang Peng, Liangyun Liu, Xiaohua Yang, and Bin Zhou "Climatic driving forces in inter-annual variation of global FPAR", Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 853121 (23 October 2012); https://doi.org/10.1117/12.971188

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KEYWORDS

Climatology

Vegetation

Temperature metrology

Data modeling

Data centers

Climate change

Environmental sensing

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