| As an important quality indicator of the characterization of terrestrial vegetation dynamic changes,vegetation net primary productivity plays a significant role in the regulation of carbon balance ofterrestrial ecosystems. In recent years, along with the urbanization and the deterioration of the globalclimate,people began to concern on the quality of the ecological environment. Zhejiang,as one of themost economically developed provinces in China, has also put more attention to improve the regionalecological environment. In1999, they began the construction of ecological public welfare forest pilotin21counties in which are the sources of rivers and the major forest areas. In this paper, we estimatesthe net primary productivity of terrestial vegetation in Zhejiang Province of2001and2010based on theCASA model, in order to learn more about the quality of regional vegetation resources in ZhejiangProvince, and provide data support and reference proposal for the ecological construction of ZhejiangProvince.By using the multiple regression and Co-Kriging interpolation method, together with themeteorological data and the MODIS Image Data NDVI, an NPP simulation was performed forZhejiang Province in2001and2010, with results further analyzed by Geographic Information System(GIS)-based software. The main conclusions are as follows：(1) The terrestrial vegetation NPP showed a spatial heterogeneity which lying down within therelief over the study area, the total NPP in2001and2010were about65.262×10~7tC and4.895×10~7tC, and the average annual NPP were about518.423gC/m~2and482.192gC/m~2, NPP ofthe whole province showed a slight decrease, but basically maintained in a relatively stable situation；The NPP also showed a apparently seasonal changes which began increasing fast at Mar. and peaked inJul., and the highest values of NPP in July were about116.578gC/m~2and75.517gC/m~2.(2) NPP of different land use type turned out a similar seasonal change, but the values weredifferent significantly, which taken a order of the forest (574.481gC/m~2)> grasslands (435.728gC/m~2)>farmland (434.529gC/m~2)> waters (223.254gC/m~2)> coastal wetlands (183.803gC/m~2)> bare rock(171.033gC/m~2)> construction land (157.825gC/m~2)； forests and arable land accountted for more than90percent of total NPP the whlole in the procince while less than10percent which was accounted forthe urban land, waters and other land use types.(3) The average value of NPP from different counties and cities of the construction land shows a slightly differences, and were concentrated in themoderately low and the moderately high value area； the average value of NPP of the forest were quitedifferent which concentrated in the high value areas； the average NPP of each city and each countywere both concentrated in high value area； the average of NPP in each counties and cities of differentland use types was distributed generally as follows： NPP was lower in northeast and coastal area ofZhejiang where the economic developed quikly, and was higher in southwest and northwest mountainareas of Zhejiang, while a small number of coastal urban development counties NPP is also higher.(4) The value of the total NPP in each counties and cities of the construction land is mainlyaffected by the construction area； the forest NPP total value is combined effected by the area and theNPP average value； and the NPP total value distribution of each counties and cities was a results of thecombined effects of different land use patterns while the forest total NPP plays a dominant role. Theconstruction also played a very important role in its NPP total value of some cities in which theconstruction land area is large... |
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