Assessing the response of seasonal variation of net primary productivity to climate using remote sensing data and geographic information system techniques in Xinjiang.

Net primary productivity (NPP) is a key component of energy and matter transformation in the terrestrial ecosystem, and the responses of NPP to global change locally and regionally have been one of the most important aspects in climate-vegetation relationship studies. In order to isolate causal climatic factors, it is very important to assess the response of seasonal variation of NPP to climate. In this paper, NPP in Xinjiang was estimated by NOAA/AVHRR Normalized Difference Vegetation Index (NDVI) data and geographic information system (GIS) techniques. The impact of climatic factors (air temperature, precipitation and sunshine percentage) on seasonal variations of NPP was studied by time lag and serial correlation ageing analysis. The results showed that the NPP for different land cover types have a similar correlation with any one of the three climatic factors, and precipitation is the major climatic factor influencing the seasonal variation of NPP in Xinjiang. It was found that the positive correlation at 0 lag appeared between NPP and precipitation and the serial correlation ageing was 0 d in most areas of Xinjiang, which indicated that the response of NPP to precipitation was immediate. However, NPP of different land cover types showed significant positive correlation at 2 month lag with air temperature, and the impact of which could persist 1 month as a whole. No correlation was found between NPP and sunshine percentage.

[1]  A. Bondeau,et al.  Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light‐use efficiency , 1999 .

[2]  H. Lieth.  Modeling the Primary Productivity of the World , 1975 .

[3]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[4]  Steven E. Franklin,et al.  Landsat TM Derived Forest Covertypes for Modelling Net Primary Production , 1997 .

[5]  Sun Rui,et al.  Distribution and Seasonal Change of Net Primary Productivity in China from April, 1992 to March, 1993 , 2000 .

[6]  Bunkei Matsushita,et al.  Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: How important is the accuracy of climate data? , 2004 .

[7]  Ramakrishna R. Nemani,et al.  A regression strategy for analyzing environmental data generated by spatio-temporal processes , 2005 .

[8]  J. E. Hunt,et al.  Commentary: Carbon Metabolism of the Terrestrial Biosphere: A Multitechnique Approach for Improved Understanding , 2000, Ecosystems.

[9]  S. J. Goetz,et al.  Monitoring primary production from Earth observing satellites , 1995 .

[10]  S. Goetz,et al.  Variability in carbon exchange and light utilization among boreal forest stands: implications for remote sensing of net primary production , 1998, Canadian Journal of Forest Research.

[11]  H. Mooney,et al.  Carbon metabolism of the terrestrial biosphere , 2000 .

[12]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[13]  Warren B. Cohen,et al.  Effects of spatial variability in light use efficiency on satellite-based NPP monitoring , 2002 .

[14]  Changhui Peng,et al.  Modelling the response of net primary productivity (NPP) of boreal forest ecosystems to changes in climate and fire disturbance regimes , 1999 .

[15]  G. Mohren,et al.  Applicability of the radiation-use efficiency concept for simulating growth of forest stands , 1997 .

[16]  Jonathan A. Foley,et al.  Net primary productivity in the terrestrial biosphere: The application of a global model , 1994 .

[17]  J. Randerson,et al.  Global net primary production: Combining ecology and remote sensing , 1995 .

[18]  K. Ohta,et al.  The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP). , 2004, The Science of the total environment.

[19]  J. Randerson,et al.  Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .

[20]  H. Tian,et al.  Effect of interannual climate variability on carbon storage in Amazonian ecosystems , 1998, Nature.

[21]  Christopher Neill,et al.  Nitrogen dynamics in soils of forests and active pastures in the western Brazilian Amazon Basin , 1995 .

[22]  S. T. Gower,et al.  Heterogeneity of light use efficiency in a northern Wisconsin forest: implications for modeling net primary production with remote sensing , 2004 .

[23]  Gérard Dedieu,et al.  Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely‐sensed data , 1995 .

[24]  C. Beijing.  Impacts of Climate Change on Productivity of Forests in China II.Geographic Distribution of Actual Productivity of Forests in China , 1993 .

[25]  Zhu Qi-jiang.  Effect of Climate Change of Terrestrial Net Primary Productivity in China , 2001, National Remote Sensing Bulletin.

[26]  H. Odum,et al.  Primary Productivity of the Biosphere , 1978, Ecological Studies.

[27]  J. Randerson,et al.  Interannual variation in global‐scale net primary production: Testing model estimates , 1997 .

[28]  Berrien Moore,et al.  The response of global terrestrial ecosystems to interannual temperature variability , 1997 .

[29]  Chen Yan-guang.  Derivation and generalization of the urban gravitational model using fractal idea with an application to the spatial cross-correlation between Beijing and Tianjin , 2002 .

[30]  G. Mulligan,et al.  Functional Form and Spatial Interaction Models , 1998 .

[31]  Impacts and lags of global warming on vegetation in Beijing for the last 50 years based on remotely sensed data and phonological information. , 2005 .

[32]  C. Peng,et al.  Interannual variability in net primary production and precipitation. , 2001, Science.

[33]  Franz-W. Badeck,et al.  Interannual variation of carbon exchange fluxes in terrestrial ecosystems , 1996 .