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Studying on Biomass and Distribution Pattern of Herbaceous Plants in Desert Region of Inner Mongolia
Author: ShuYang
Tutor: LiuZhaoGang
School: Northeast Forestry University
Course: Forest Management
Keywords: Herb Model Biomass Distribution pattern Aerial photographs
CLC: S812
Type: Master's thesis
Year: 2008
Downloads: 85
Quote: 0
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Abstract
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Desertification has become the world's concerns, and the herb has an irreplaceable role in the sand sand work. Inner Mongolia is the most extensive area of ??desertified lands in China provinces, to change this situation, it is necessary to correctly evaluate the proposed solutions productivity. Based on the survey data Inner Mongolia 磴口县 region, direct harvest method for biomass herbs, the use of linear and non-linear regression model was constructed individual biomass model, and predict the survey area population biomass and plots herbaceous biomass; five aggregate indices and the I-wao M , * sup> - (?) regression model, and Taylor power law analysis of a variety of species distribution patterns and for the first time using poly the block index M * sup> / (?) and the aerial photograph extraction herbaceous coverage build herbaceous biomass prediction model. The results show that 1) representative of the results of the large plots, high prediction accuracy; 2) the impact of herbaceous biomass by the study of the study area is mainly affected by the canopy, plant height and diameter at ground factor, the individual biomass of each species The amount of the model are as follows: reed W = 12.4732 0.3459 (D CW) H; Saudi Inula W = 0.3101CW 1.6338 sup>; Salsola W = 0.0360CW 2.3964 sup>; Sand meters W = 0.0087 (D 2 sup> H) 0.7999 sup> (CW 2 sup> D) 1.5857 sup>; Cleistogenes W = 0.4293 (CW 2 sup> H) 0.8037 sup>; Sand whip W = 4.1019 (D 2 sup> H) 0.4592 sup>; frost the quinoa W = 0.1957CW 1.5742 sup>; can be seen from the above to select the optimal biomass model, crown width (CW) is the primary factor of herbaceous biomass; 3) of the study area herb reed populations showed the highest value of 29.98, the Saudi Inula times 18.40; 4) aggregate indices results show the various groups mainly clustered distribution, a small number of low-density plots distributed randomly and evenly distributed; IwaoM * sup> (?) regression confirmed rejection among the reeds, Saudi Inula Salsola and Sand whip populations of plants, of Shami and dasyphylla populations were individual group distribution; Taylor power law of the test results to prove all the greater the population density, the greater the degree of aggregation; 5) aggregation number λ results show more than 90% of the aggregate distribution is caused by external factors and species characteristics; 6) poly block index and aerial photograph method to draw the region herbaceous biomass model: W * sup> = 9.6907 0.0022 [N * sup> x, Ms] and W * sup> = -6.3370 2.2451C this article about Inner Mongolia individual biomass of the herbaceous model, the total biomass prediction model and analysis of the level of population distribution pattern of the study area, directly reflects the population advantage and made scientific biomass prediction methods apply to the evaluation of the productivity of the region, in order to further research community characteristics, as well as the future, Inner Mongolia, desertification control, revegetation and to propose effective business decisions provide a strong scientific basis and reference.
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CLC: > Agricultural Sciences > Livestock, animal medicine,hunting,silkworm,bee > General Animal Science > Grassland Science,prairie school
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