Journal of Climate Research

Journal of Climate Research

Determination of biomass of the plant in vegetative stages after count the count with using temperature characteristic

Document Type : Original Article

Authors
Sajjad Babaei 1
Javad Torkaman 2
Tooba Abedi 3
1 Ph.d Student in Management of Forest Sciences, Faculty of Natural Resources, University of Guilan, Sowmeh sara, Iran
2 Group of Forestry, Faculty of Natural resources, University of Guilan, Someh sara, Iran
3 Academic Center for Education, Culture and Research, Environmental Research Institute, Rasht, 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.



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Keywords
Temperature
humidity
dry weight
allometric models. wet weight
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Journal of Climate Research
Volume 1402, Issue 55 - Serial Number 55
Vol. 14 , No. 55, Autumn 2023
Winter 2024
Pages 227-235