Influence of drought on Chinese terrestrial net primary production from 2002–2010

Author

Juan Gu ; Chunlin Huang

Author_Institution

Lab. of Western China´s Environ. Syst., Lanzhou Univ., Lanzhou, China

fYear

2013

fDate

21-26 July 2013

Firstpage

1752

Lastpage

1755

Abstract

Under global warming condition, how NPP change in China´s terrestrial ecosystems was affected by climate change. In this study, we used a light-use efficiency model and linear regression model to describe and analyze the spatial and temporal patterns of terrestrial net primary productivity (NPP) in China during 2002-2010 and the drought effects as indicated by Palmer Drought Index (PDSI). First, we used the reconstructed 16-day 0.05°MODIS NDVI product (MOD13C1), 0.05°gridded GLDAS (Global Land Data Assimilation System) meteorological data to estimate the NPP in China. Then Based on regression analysis method, we analyzed the influence of drought on NPP change in China during 2002-2010. Our results suggest that NPP shows a significant change during the past decade and PDSI is likely a good indication for the change in china.

Keywords

ecology; global warming; hydrology; rain; regression analysis; AD 2002 to 2010; China terrestrial ecosystems; Chinese terrestrial net primary production; GLDAS; Global Land Data Assimilation System; MOD13C1; MODIS NDVI product; NPP estimation; PDSI; Palmer Drought Index; climate change; drought effect; global warming condition; light-use efficiency model; linear regression model; meteorological data; regression analysis method; spatial pattern analysis; temporal pattern analysis; terrestrial NPP; terrestrial net primary productivity; Biological system modeling; Data assimilation; Indexes; Market research; Meteorology; Temperature; Vegetation mapping; China; Net primary production (NPP); Palmer Drought Index (PDSI);

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723136

Filename

6723136