Modeling the dynamics of natural forest ecosystems in the northeast of European Russia under climate change and forest fires

Ecoscience ◽  
2014 ◽  
Vol 21 (3-4) ◽  
pp. 253-264 ◽  
Author(s):  
Alexander Komarov ◽  
Vladimir Shanin ◽  
Aleksey Manov ◽  
Mikhail Kuznetsov ◽  
Andrey Osipov ◽  
...  
2012 ◽  
Vol 9 (6) ◽  
pp. 6829-6855
Author(s):  
A. S. Komarov ◽  
V. N. Shanin

Abstract. An individual-based simulation model, EFIMOD, was used to simulate the response of forest ecosystems to additional nitrogen deposition. The general scheme of the model includes forest growth depending on nitrogen uptake by plants and mineralization of soil organic matter. The mineralization rate is dependent on nitrogen content in litter and forest floor horizons. Three large forest areas in Central European Russia with a total area of about 17 000 km2 in distinct environmental conditions were chosen. Simulations were carried out with two climatic scenarios (stable climate and climate change) and different levels of nitrogen deposition. The simulations showed that increased nitrogen deposition leads to increased productivity of trees, increased organic matter content in organic soil horizons, and an increased portion of deciduous tree species. For the climate change scenario, the same effects on productivity and shifts in species composition were predicted but there was a negative effect on the accumulation of organic matter in soil.


Forests ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 2
Author(s):  
Sholpan Zhumadina ◽  
Jiri Chlachula ◽  
Alina Zhaglovskaya-Faurat ◽  
Jolanta Czerniawska ◽  
Gulmira Satybaldieva ◽  
...  

The ribbon-like pine forests of North Kazakhstan represent the principal territorial intrazonal and azonal biotopes. Integrated bio-geographic studies of the pine forests’ status were performed in the Beskaragai and Chaldai Nature Reserves in the Pri-Irtysh River basin within, at present, the climate–change most susceptible transitional parkland-steppe zone of Central Asia, adjoining the West Siberian Lowland. The investigations followed the regional topographic gradient with a series of mapped sites characterizing the spatial relief patterns of the pristine forest distribution and the associated phytocenoses. The results revealed marked natural arboreal cover restoration differences between the geographically close upland and lowland forest ecosystems. The regional tree growth dynamics show the varying intensity of the pine seedlings’ succession, the tree stands’ biomass productivity and the environmental stability, weakened by the extreme continentality and progressing aridification along with adverse anthropogenic ecological impacts. The specific geomorphic, soil and hydrological conditions are the principal determining factors. The more vital plain and lowland pine forests host the floristically richer fescue-dominated communities compared to the more fragile and precipitation-poorer upland pine settings. The latter forest ecosystems display a higher vulnerability to the current climate change, generating tree drying, forest fires, and to modern human activities such as logging, herding and recreation. The research conclusions provide new insights on the natural ribbon-like pine forests’ sustainability and adaptation to the ongoing continental warming triggering fundamental environmental transformations in Central Asia’s parklands.


2012 ◽  
Vol 163 (12) ◽  
pp. 481-492
Author(s):  
Andreas Rigling ◽  
Ché Elkin ◽  
Matthias Dobbertin ◽  
Britta Eilmann ◽  
Arnaud Giuggiola ◽  
...  

Forest and climate change in the inner-Alpine dry region of Visp Over the past decades, observed increases in temperature have been particularly pronounced in mountain regions. If this trend should continue in the 21st Century, frequency and intensity of droughts will increase, and will pose major challenges for forest management. Under current conditions drought-related tree mortality is already an important factor of forest ecosystems in dry inner-Alpine valleys. Here we assess the sensitivity of forest ecosystems to climate change and evaluate alternative forest management strategies in the Visp region. We integrate data from forest monitoring plots, field experiments and dynamic forests models to evaluate how the forest ecosystem services timber production, protection against natural hazards, carbon storage and biodiver-sity will be impacted. Our results suggest that at dry low elevation sites the drought tolerance of native tree species will be exceeded so that in the longer term a transition to more drought-adapted species should be considered. At medium elevations, drought and insect disturbances as by bark beetles are projected to be important for forest development, while at high elevations forests are projected to expand and grow better. All of the ecosystem services that we considered are projected to be impacted by changing forest conditions, with the specific impacts often being elevation-dependent. In the medium term, forest management that aims to increase the resilience of forests to drought can help maintain forest ecosystem services temporarily. However, our results suggest that relatively rigid management interventions are required to achieve significant effects. By using a combination of environmental monitoring, field experiments and modeling, we are able to gain insight into how forest ecosystem, and the services they provide, will respond to future changes.


2021 ◽  
Vol 13 (14) ◽  
pp. 7892
Author(s):  
Natalia Korcz ◽  
Jacek Koba ◽  
Agata Kobyłka ◽  
Emilia Janeczko ◽  
Joanna Gmitrowicz-Iwan

Climate change affects various aspects of the economy, agriculture, economics, and politics, including forestry. There is more and more talk about the real impact of the effects of climate change. This paper presents the results of a survey on the perceptions of two groups, foresters and recreational forest users, about climate change and its impacts on forested areas; 130 foresters and 146 recreational forest users participated in the survey (total n = 276). The survey was conducted from April to November 2019 and consisted of three parts. The first part included questions about the demographic characteristics of the respondents (gender, age, education, place of residence), the second part focused on the respondents’ views on climate change and its implications for forest ecosystems, and the third part focused on informal forest education and its relationship to climate change. The results of our study indicated that progressive climate change affecting forest ecosystems is clearly felt by the professional group related to forests such as foresters, and to a lesser extent by people using forests for tourism and recreation. According to foresters, the effects of climate change on forest areas include rapid changes in weather patterns and more frequent insect infestations. On the other hand, people resting in forests mainly observe the lack of snow cover and occurrence of drought. Informal forest education insufficiently covers the topic of climate change. Thus, our study can help guide informal education towards topics related to climate change and the need for sustainable forest use.


2019 ◽  
Vol 9 (19) ◽  
pp. 4155
Author(s):  
Pérez-Sánchez ◽  
Jimeno-Sáez ◽  
Senent-Aparicio ◽  
Díaz-Palmero ◽  
de Dios Cabezas-Cerezo

Wildfires in Mediterranean regions have become a serious problem, and it is currently the main cause of forest loss. Numerous prediction methods have been applied worldwide to estimate future fire activity and area burned in order to provide a stable basis for future allocation of fire-fighting resources. The present study investigated the performance of an artificial neural network (ANN) in burned area size prediction and to assess the evolution of future wildfires and the area concerned under climate change in southern Spain. The study area comprised 39.41 km2 of land burned from 2000 to 2014. ANNs were used in two subsequential phases: classifying the size of the wildfires and predicting the burned surface for fires larger than 30,000 m2. Matrix of confusion and 10-fold cross-validations were used to evaluate ANN classification and mean absolute deviation, root mean square error, mean absolute percent error and bias, which were the metrics used for burned area prediction. The success rate achieved was above 60–70% depending on the zone. An average temperature increase of 3 °C and a 20% increase in wind speed during 2071–2100 results in a significant increase of the number of fires, up to triple the current figure, resulting in seven times the average yearly burned surface depending on the zone and the climate change scenario.


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