Estimation and Characteristics Analysis of Artificial Vegetation Biomass Based on CASA Models

Abstract

Abstract: Using the improved CASA(Carnegie-Ames-Stanford Approach)model,combining with Landsat TM remote sensing image and meteorological data,the net primary productivity(NPP)of Yulin aerial seeding forest was estimated in July 2010.By use of the measured vegetation biomass,the estimation results of CASA model could be verified.The results indicated that CASA model can be applied to estimation of the NPP in the Yulin aerial seeding forest.The differences of the NPP among different areas which are estimated by CASA model were marked,the highest NPP found at the junction of Henshan and Yuyang,the value is between 233.21 and 414.15gCm^-2;Ecological system of Yulin aerial seeding forest belongs to low productivity ecological system.The level of Salix psammophila NPP is the highest,In the artificial forest land,the planting pattern of biomass of Korshinsk Peashrub,Salix psammophila and Dester Wormwood is the largest.In addition to Salix psammophila,Hedysarum scoparium and Dester Wormwood,there is no significant correlation between plant biomass and water content.There exists close correlation between biomass and the factors which include water content,soil nutrient and climate of the same vegetation in different aerial years.

Key words: biomass, NPP, CASA model, planted forest

CLC Number:

S718.5

SUN Shu, WANG Ranghui. Estimation and Characteristics Analysis of Artificial Vegetation Biomass Based on CASA Models[J]. FOREST RESOURCES WANAGEMENT, 2012, 0(6): 61-66.

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