Study on the spatial-temporal differentiation of vegetation productivity in Yili Area and its relationship with terrain factors
ZHANG Zhendong 1,2， ZAN Mei 1
1.School of Geographical Science and Tourism， Xinjiang Normal University， Urumqi 830054，China；2.College of Geography and Environment， Shandong Normal University， Jinan 250358， China
Abstract：Based on MODIS · NDVI data， meteorological data， and land use data， this paper uses the CASA model to quantitatively invert the vegetation NPP in Yili from 2012 to 2014 with a monthly cycle and a spatial resolution of 500 m. The temporal and spatial distribution of vegetation NPP in the study area was analyzed， and the contribution rate of different vegetation types to NPP and the influence of topographic factors on NPP were discussed. The results show that the annual average value of vegetation NPP in Yili region from 2012 to 2014 is 200 gC·m－2·a－1， which shows the characteristics of the eastern part being greater than the western part in space. The NPP of different vegetation types increased from March to July and decreased from July to November. However， the monthly average NPP change rate and transformation range of different vegetation types are quite different. The maximum contribution rate of grassland to the total NPP in the study area is 58.59%， followed by crops， which contribute 31.45%. Thecontribution rate of coniferous and broad-leaved forests is basically the same， which are 3.75% and 3.60%， respectively； the minimum contribution rate of sparse vegetation is only 2.61%； the annual average NPP of the study area increaed first and then decreased with the increase of altitude and slope. The results of using the CASA model to estimate the vegetation NPP in Yili area are in good agreement with the MOD17A3 product.
张振东,昝 梅. 伊犁地区植被生产力的时空分异及其与地形因子关系研究[J]. 华中师范大学学报(自然科学版), 2020, 54(4): 711-720.
ZHANG Zhendong,ZAN Mei . Study on the spatial-temporal differentiation of vegetation productivity in Yili Area and its relationship with terrain factors. journal1, 2020, 54(4): 711-720.
2020, Vol. 54 
