Document Type : Original Article
Authors
1
Phd student. Management of Forest Sciences, University of Guilan, Faculty of Natural Resources, Sowmeh sara, Iran
2
Associated professor of Forestry, University of Guilan, Faculty of Natural resources, Somehsara, Iran
Abstract
Temperature changes are an important issue in the present age and it is a new topic for climatologists. The purpose of this research is to monitoring the changes in the biomass of trees during the growth periods of pole, beam, vigorous and old by using temperature characteristics. In this research, 307 parcels were studied. In this research, 30 sample plots were implemented in Parcel 307 using regular random method. Then, using a drone, the temperature of the centers of the samples was measured. In this research, using the mode of the tree mass was measured during the growing period of the trees, the trees, the trees, the stout, and the old trees. In these models, temperature was considered as the main variable and biomass was considered as the dependent variable. The preliminary results of this research showed that F. orientalis trees have a correlation coefficient of 0.96, 0.97, 0.96, and 0.94. The obtained results showed that Q. Castanifolia trees have correlation coefficients of 0.79, 0.81, 0.96 and 0.64. The results of A. glutinosha trees showed that the correlation coefficient of T.subcordata trees was 0.75, 0.99, 0.99 and 0.41. The results obtained from this show that deciduous trees have a correlation coefficient of 0.82, 0.19, 0.19 and 0.19. The results of this research showed that the use of the temperature characteristics of the sample centers has high accuracy in determining the biomass of trees in various vegetative stages.
Temperature changes are an important issue in the present age and it is a new topic for climatologists. The purpose of this research is to monitoring the changes in the biomass of trees during the growth periods of pole, beam, vigorous and old by using temperature characteristics. In this research, 307 parcels were studied. In this research, 30 sample plots were implemented in Parcel 307 using regular random method. Then, using a drone, the temperature of the centers of the samples was measured. In this research, using the mode of the tree mass was measured during the growing period of the trees, the trees, the trees, the stout, and the old trees. In these models, temperature was considered as the main variable and biomass was considered as the dependent variable. The preliminary results of this research showed that F. orientalis trees have a correlation coefficient of 0.96, 0.97, 0.96, and 0.94. The obtained results showed that Q. Castanifolia trees have correlation coefficients of 0.79, 0.81, 0.96 and 0.64. The results of A. glutinosha trees showed that the correlation coefficient of T.subcordata trees was 0.75, 0.99, 0.99 and 0.41. The results obtained from this show that deciduous trees have a correlation coefficient of 0.82, 0.19, 0.19 and 0.19. The results of this research showed that the use of the temperature characteristics of the sample centers has high accuracy in determining the biomass of trees in various vegetative stages.
Temperature changes are an important issue in the present age and it is a new topic for climatologists. The purpose of this research is to monitoring the changes in the biomass of trees during the growth periods of pole, beam, vigorous and old by using temperature characteristics. In this research, 307 parcels were studied. In this research, 30 sample plots were implemented in Parcel 307 using regular random method. Then, using a drone, the temperature of the centers of the samples was measured. In this research, using the mode of the tree mass was measured during the growing period of the trees, the trees, the trees, the stout, and the old trees. In these models, temperature was considered as the main variable and biomass was considered as the dependent variable. The preliminary results of this research showed that F. orientalis trees have a correlation coefficient of 0.96, 0.97, 0.96, and 0.94. The obtained results showed that Q. Castanifolia trees have correlation coefficients of 0.79, 0.81, 0.96 and 0.64. The results of A. glutinosha trees showed that the correlation coefficient of T.subcordata trees was 0.75, 0.99, 0.99 and 0.41. The results obtained from this show that deciduous trees have a correlation coefficient of 0.82, 0.19, 0.19 and 0.19. The results of this research showed that the use of the temperature characteristics of the sample centers has high accuracy in determining the biomass of trees in various vegetative stages.
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