Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling

On the example of the Volga basin, based on the materials of large-scale landscape surveys, predictive empirical-statistical modeling of the carbon balance of boreal and nemoral forest biomes was carried out. One of the types of predictive ecological models is presented – within the framework of exp...

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Main Author: E. G. Kolomyts
Format: Article
Language:English
Published: Russian Academy of Sciences, Siberian Branch Publishing House 2021-06-01
Series:Сибирский лесной журнал
Subjects:
Online Access:https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/324/32465fb997359ddd8db1b8fd43a95635.pdf
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author E. G. Kolomyts
author_facet E. G. Kolomyts
author_sort E. G. Kolomyts
collection DOAJ
description On the example of the Volga basin, based on the materials of large-scale landscape surveys, predictive empirical-statistical modeling of the carbon balance of boreal and nemoral forest biomes was carried out. One of the types of predictive ecological models is presented – within the framework of experimental landscape ecology. Methods for calculating and mapping the volumes of absorption/emission of greenhouse gases by forests under predicted climate changes are discussed. Based on global climate models, predictive estimates of the components of the carbon balance of forest ecosystems as integral formations and their influence on the carbon exchange of the earth’s surface with the atmosphere are given. For two climatic forecast scenarios: moderate and extreme, quantitative indicators of adsorption and emission of СО2 in various local and zonal-regional conditions of the East European subcontinent are given. It has been established that boreal forest ecosystems predominantly carry out cumulative regulation of the carbon cycle, which mitigates warming, while nemoral forests regulate emission regulation. The general softening effect of the forest cover of the Volga basin on climatic changes with the strengthening of the hydrothermal signal was revealed. It is shown that the process of thermal arid transformation of forest ecosystems leads to a general decrease in carbon accumulation in most groups of forest formations. The maps of the carbon content and the projected carbon balance of the main forest formations of the Volga basin for the moderate scenario of global warming allowed by the Paris Agreement on Climate Change (2015) are presented.
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spelling doaj.art-4243702344e44bfaab76f5be24cb2ca82022-12-21T20:33:31ZengRussian Academy of Sciences, Siberian Branch Publishing HouseСибирский лесной журнал2311-14102312-20992021-06-0183567510.15372/SJFS20210306Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modelingE. G. Kolomyts0Institute of Ecology of the Volga River Basin, Russian Academy of SciencesOn the example of the Volga basin, based on the materials of large-scale landscape surveys, predictive empirical-statistical modeling of the carbon balance of boreal and nemoral forest biomes was carried out. One of the types of predictive ecological models is presented – within the framework of experimental landscape ecology. Methods for calculating and mapping the volumes of absorption/emission of greenhouse gases by forests under predicted climate changes are discussed. Based on global climate models, predictive estimates of the components of the carbon balance of forest ecosystems as integral formations and their influence on the carbon exchange of the earth’s surface with the atmosphere are given. For two climatic forecast scenarios: moderate and extreme, quantitative indicators of adsorption and emission of СО2 in various local and zonal-regional conditions of the East European subcontinent are given. It has been established that boreal forest ecosystems predominantly carry out cumulative regulation of the carbon cycle, which mitigates warming, while nemoral forests regulate emission regulation. The general softening effect of the forest cover of the Volga basin on climatic changes with the strengthening of the hydrothermal signal was revealed. It is shown that the process of thermal arid transformation of forest ecosystems leads to a general decrease in carbon accumulation in most groups of forest formations. The maps of the carbon content and the projected carbon balance of the main forest formations of the Volga basin for the moderate scenario of global warming allowed by the Paris Agreement on Climate Change (2015) are presented.https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/324/32465fb997359ddd8db1b8fd43a95635.pdfforestsregulation of carbon cycleclimate changepredictive empirical-statistical models
spellingShingle E. G. Kolomyts
Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
Сибирский лесной журнал
forests
regulation of carbon cycle
climate change
predictive empirical-statistical models
title Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
title_full Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
title_fullStr Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
title_full_unstemmed Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
title_short Carbon balance of forest ecosystems of the Volga river basin due to global warming: forecast landscape-ecological modeling
title_sort carbon balance of forest ecosystems of the volga river basin due to global warming forecast landscape ecological modeling
topic forests
regulation of carbon cycle
climate change
predictive empirical-statistical models
url https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/324/32465fb997359ddd8db1b8fd43a95635.pdf
work_keys_str_mv AT egkolomyts carbonbalanceofforestecosystemsofthevolgariverbasinduetoglobalwarmingforecastlandscapeecologicalmodeling