Ms. Qingling Sun Profile

Qingling Sun

at IGSNRR

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Proceedings Article | 8 November 2014 Paper

Topographical effects of climate dataset and their impacts on the estimation of regional net primary productivity

L. Qing Sun, Feng Feng

Proceedings Volume 9260, 92602R (2014) https://doi.org/10.1117/12.2068642

KEYWORDS: Climatology, Data modeling, Solar radiation models, Temperature metrology, Solar radiation, Humidity, Environmental sensing, Vegetation, Ecosystems, Computer simulations

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In this study, we first built and compared two different climate datasets for Wuling mountainous area in 2010, one of which considered topographical effects during the ANUSPLIN interpolation was referred as terrain-based climate dataset, while the other one did not was called ordinary climate dataset. Then, we quantified the topographical effects of climatic inputs on NPP estimation by inputting two different climate datasets to the same ecosystem model, the Boreal Ecosystem Productivity Simulator (BEPS), to evaluate the importance of considering relief when estimating NPP. Finally, we found the primary contributing variables to the topographical effects through a series of experiments given an overall accuracy of the model output for NPP. The results showed that: (1) The terrain-based climate dataset presented more reliable topographic information and had closer agreements with the station dataset than the ordinary climate dataset at successive time series of 365 days in terms of the daily mean values. (2) On average, ordinary climate dataset underestimated NPP by 12.5% compared with terrain-based climate dataset over the whole study area. (3) The primary climate variables contributing to the topographical effects of climatic inputs for Wuling mountainous area were temperatures, which suggest that it is necessary to correct temperature differences for estimating NPP accurately in such a complex terrain.

Proceedings Article | 8 November 2014 Paper

Spatio-temporal pattern of NPP and related analyses with terrain factors in Wuling mountainous area

L. Qing Sun, Xiao Xiao, Feng Feng

Proceedings Volume 9260, 92602M (2014) https://doi.org/10.1117/12.2068398

KEYWORDS: Vegetation, MODIS, Data conversion, Factor analysis, Data centers, Statistical analysis, Remote sensing, Climatology, Binary data, Spatial resolution

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Based on the MODIS NPP data, terrain data, and land cover map, spatio-temporal pattern of NPP in Wuling mountainous area during 2001-2010 and its relationships with the elevation and slope were analyzed using regression analysis and classification statistics. Results showed that the average annual NPP of the study area from 2001 to 2010 was 590.72 g C m^-2 yr^-1. The mean NPP of forest, shrub/grassland, and cropland were 596.79 g C m^-2 yr^-1, 586.98 g C m^-2 yr^-1, and 563.31 g C m^-2 yr^-1, respectively. During 2001-2010, the average annual total NPP of Wuling mountainous area was 98.90 T g C yr^-1, ranging from 92.79 T g C yr^-1 to 106.99 T g C yr^-1. Besides, the spatial pattern of interannual variability of NPP in the north of our study area presented a significant increase trend while in the south it displayed an opposite tendency. According to the relationships between mean NPP and elevation as well as slope at steps of 30m and 3°, respectively, NPP increased with the altitude and slope first, then decreased slowly, but when the elevation above 1500m or the slope greater than 50°, the mean NPP presented large fluctuations. However, on the whole, mean NPP increased with the altitude and slope first, then decreased again. Additionally, mean NPP within elevation range of 200m-1000m and slope range of 5°-25° were relatively high, but it decreased one after another in the zones above 500m and had a trend of increase when the slope zones greater than 50°, which reflected the erosion intensity was weakened when the slope greater than a certain threshold.

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