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[1]ZHANG Bao-lei,HU Wen-qiu,FENG Chao-yang,et al.Evaluation on Effect of Snowstorm on Vegetation NPP in the Protected Area of Mangshan Based on Remote Sensing[J].Research of Soil and Water Conservation,2011,18(04):97-100,106.

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Evaluation on Effect of Snowstorm on Vegetation NPP in the Protected Area of Mangshan Based on Remote Sensing

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 04 Page number: 97-100,106 Column: Public date: 2011-08-20

Title:: Evaluation on Effect of Snowstorm on Vegetation NPP in the Protected Area of Mangshan Based on Remote Sensing

Author(s):: ZHANG Bao-lei¹, HU Wen-qiu¹, FENG Chao-yang², ZHENG Zhi-rong², LÜ Shi-hai²; 1. College of Population, Resource and Environment, Shandong Nomal University, Ji’nan 250014, China;
2. Chinese Research Academy of Environmental Sciences, Beijing 100012, China

Keywords:: snowstorm vegetation NPP elevation based on remote sensing Mangshan protected area

CLC:: S718.55⁺6;P426.63

DOI:: -

Abstract:: The effect of snowstorm on plants is expressed not only the external damage, but also the inherent physiological activities. Therefore, the evaluation of the impact of vegetation restoration should be based on a longer period of vegetation changes. Taking the snowstorm in January 2008 as the case, the paper chosed the vegetation net primary productivity (NPP) that reflected the ability of vegetation productivity as indicator and selected Mangshan protected area with less effect by human activities as study area. The paper built light use efficiency model based on the CASA model, estimated the NPP of the year before the snowstorm and two years after it, and elevated the effect of snowstorm on vegetation and changes of plant NPP. The paper also analyzed the effect of snowstorm on vegetation in the aspect of different terrain, different ages and different species, so as to provide data support for the decision-making of post-disaster assessment and reconstruction in Mangshan protected area and even the south disaster area.

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