RUSSIAN JOURNAL OF FOREST SCIENCE, 2020, No. 2, 115–126


THE POTENTIAL ABSORPTION OF CARBON BY TREES’ BIOMASS DURING THE RESTORATION OF RIPARIAN FORESTS
D. G. Zamolodchikov1, V. V. Kaganov1, O. N. Lipka2
1Center of Forest Ecology and Productivity, RAS
Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia
2World Wildlife Fund (WWF Russia)
Nikoloyamskaya st. 19,bldg. 3, Moscow, 109240 Russia
E-mail: dzamolod@mail.ru


Received 28 July 2019
A predictive system was developed for the assessment of carbon absorption by trees phytomass during the restoration of riparian forests in a valley of Ili river (Kazakhstan republic)/ The system comprises the constraint equations between the density of forest stand and their age; mean height and age; mean trees’ diameter and density; it includes the allometric constraint equations between trees phytomass and valuation parameters as well. The system allows to calculate the absorption and sequestration of carbon by the phytomass annually. The system was applied for the description of growth dynamics of desert poplar in three growth class variations, as well as the oleaster (Elaeagnus oxycarpa) and white willow. At the end of 30-years resforestation period the phytomass’ carbon will constitute: up to 50.14 t C ha-1 for the first-class desert poplar, 40.51 for the second-class, 35.79 for the third-class desert poplar, 15.61 for the oleaster 92.52 t C ha-1 for the white willow. The maximum absorption capacity age was different for various forest stands: 9 years for oleaster, 13 for first-class desert poplar, 16 years for second-class desert poplar and the white willow, 23 years for the third-class desert poplar. The system can be applied to predicting the carbon absorption by other species’ stands after finding the necessary parameters using the regression method or based on the assumption on start and maximum values of density and the mean height.
Keywords: reforestation, arid areas, riparian forests, trees phytomass, carbon absorption, forest stands growth, modeling, prediction.
Acknowledgement: The work was carried out with the support from the RSF № 19-77-30015 (forest cultures growth modeling and carbon absorption) and WWF Russia (forest restorative project planning).
DOI: 10.31857/S0024114820020114


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