Remote-sensing estimation of vegetation gross primary productivity and its spatiotemporal changes in Qinghai Province from 2000 to 2019

doi:10.11686/cyxb2020354

Abstract

Abstract:

The Qinghai region is the source of the Yangtze， Yellow， and Lancang rivers， and covers an area of 722300 km². Monitoring information on the spatiotemporal variability of local ecosystems is strategically significant for the evolution of sophisticated future ecological management in China. Vegetation gross primary production （GPP） is the key component of the terrestrial ecosystem carbon cycle. A recent study has found that a vegetation index， the near-infrared radiance of vegetation （NIRv）， is a good proxy of GPP. Using MODIS satellite remote sensing data， a soil-adjusted NIRv model， and ground flux observation data for three sites， we estimated the GPP across Qinghai from 2000 to 2019. We also analyzed its spatial and temporal variations and responses to climate change leveraging land cover data and meteorological data. The results indicate that： 1） GPP estimations by the soil-adjusted NIRv model agree well with ground observations （R²=0.91， P<0.001）， and is more suitable than MODIS GPP products for this area. 2） The multi-year averaged GPP across the Qinghai region is 140.5 Tg C·yr^-1， with a significant increasing trend of 1.25 Tg C·yr^-1 （P<0.05）， from 2000 to 2019. 3） The spatial distribution of GPP in Qinghai is characterized by an increase from west to east. Significant difference exists in the interannual variations in GPP， depending on land cover types. 4） Overall， GPP has a higher correlation with temperature than with precipitation， but such correlation also shows substantial spatial variation.

Key words: vegetation gross primary productivity, soil adjusted NIRvmodel, MODIS, Qinghai region

Xiao-ding LIN, Le CHANG, Dan FENG. Remote-sensing estimation of vegetation gross primary productivity and its spatiotemporal changes in Qinghai Province from 2000 to 2019[J]. Acta Prataculturae Sinica, 2021, 30(6): 16-27.

Figures/Tables 9

Fig.1 Location map (a) and land use map (b) of Qinghai Province

Fig.2 Accuracy evaluation of GPP estimation

Fig.3 Average GPP in Qinghai Province for many years

Fig.4 The interannual change of GPP in Qinghai Province

Fig.5 Interannual variation of GPP of different vegetation types in Qinghai Province

Fig.6 The change trend (a) and significance test (b) of GPP in Qinghai Province

Fig.7 The interannual change of annual mean temperature and annual total precipitation in Qinghai Province

Fig.8 Spatiotemporal variation of temperature and precipitation in Qinghai Province

Fig.9 The correlation of GPP with temperature and precipitation

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