Regional model assessments of forest fire risks in the Asian part of Russia under climate change

2010 ◽  
Vol 31 (2) ◽  
pp. 165-169 ◽  
Author(s):  
I.I. Mokhov ◽  
A.V. Chernokulsky
1999 ◽  
Vol 19 ◽  
pp. 3 ◽  
Author(s):  
Renwick ◽  
Katzfey ◽  
McGregor ◽  
Nguyen

Author(s):  
Felix Victor Münch ◽  
Luca Rossi

Global political developments – such as Brexit, climate change, or forced migration – are entangled with communication that transcends national publics. Meanwhile, the EU’s integrity suffers, also due to polarised online discourses, which are sometimes actively manipulated. Therefore, an overview of online communication beyond language barriers is essential. However, whether and how online media create a global space that sustains deliberation of national and global interests by citizens, remains understudied. We approach this problem by exploring relations between the Italian and German Twittersphere, while asking: 1) What is the macrostructure of this bilingual network? 2) Are there bridges between these language communities in the form of single accounts and how can they be described? 3) Are there bridges in the form of groups and what are they tweeting about? We build on an innovative network crawling strategy for language-based Twitter follow networks. We developed it further to combine strengths of rank degree, snowball, and forest fire sampling. Thereby, we collect a network sample of the most central accounts in the Italian-German Twittersphere. Preliminary results suggest a bridging quality of soccer and connections between political clusters of both languages by EU politicians. Furthermore, larger network clusters connect mainly with one linguistic domain while smaller communities show a bridging behaviour. The final paper will present results of months of data collection, focusing on the relation between topics discussed within clusters and their connectivity. While it focuses on the German-Italian Twittersphere, our methods open up new avenues of enquiry regarding multi-language public spheres.


2021 ◽  
Author(s):  

Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises current knowledge of the occurrence, monitoring, modelling and suppression of forest fires in Fennoscandia. The report also focuses on elaborating the role of forest fires as a source of black carbon (BC) emissions over the Arctic and discussing the importance of international collaboration in tackling forest fires. The report explains the factors regulating fire ignition, spread and intensity in Fennoscandian conditions. It highlights that the climate in Fennoscandia is characterised by large inter-annual variability, which is reflected in forest fire risk. Here, the majority of forest fires are caused by human activities such as careless handling of fire and ignitions related to forest harvesting. In addition to weather and climate, fuel characteristics in forests influence fire ignition, intensity and spread. In the report, long-term fire statistics are presented for Finland, Sweden and the Republic of Karelia. The statistics indicate that the amount of annually burnt forest has decreased in Fennoscandia. However, with the exception of recent large fires in Sweden, during the past 25 years the annually burnt area and number of fires have been fairly stable, which is mainly due to effective fire mitigation. Land surface models were used to investigate how climate change and forest management can influence forest fires in the future. The simulations were conducted using different regional climate models and greenhouse gas emission scenarios. Simulations, extending to 2100, indicate that forest fire risk is likely to increase over the coming decades. The report also highlights that globally, forest fires are a significant source of BC in the Arctic, having adverse health effects and further amplifying climate warming. However, simulations made using an atmospheric dispersion model indicate that the impact of forest fires in Fennoscandia on the environment and air quality is relatively minor and highly seasonal. Efficient forest fire mitigation requires the development of forest fire detection tools including satellites and drones, high spatial resolution modelling of fire risk and fire spreading that account for detailed terrain and weather information. Moreover, increasing the general preparedness and operational efficiency of firefighting is highly important. Forest fires are a large challenge requiring multidisciplinary research and close cooperation between the various administrative operators, e.g. rescue services, weather services, forest organisations and forest owners is required at both the national and international level.


2016 ◽  
Vol 16 (1) ◽  
pp. 239-253 ◽  
Author(s):  
I. Lehtonen ◽  
A. Venäläinen ◽  
M. Kämäräinen ◽  
H. Peltola ◽  
H. Gregow

Abstract. The target of this work was to assess the impact of projected climate change on forest-fire activity in Finland with special emphasis on large-scale fires. In addition, we were particularly interested to examine the inter-model variability of the projected change of fire danger. For this purpose, we utilized fire statistics covering the period 1996–2014 and consisting of almost 20 000 forest fires, as well as daily meteorological data from five global climate models under representative concentration pathway RCP4.5 and RCP8.5 scenarios. The model data were statistically downscaled onto a high-resolution grid using the quantile-mapping method before performing the analysis. In examining the relationship between weather and fire danger, we applied the Canadian fire weather index (FWI) system. Our results suggest that the number of large forest fires may double or even triple during the present century. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to active and efficient fire suppression. However, the results reveal substantial inter-model variability in the rate of the projected increase of forest-fire danger, emphasizing the large uncertainty related to the climate change signal in fire activity. We moreover showed that the majority of large fires in Finland occur within a relatively short period in May and June due to human activities and that FWI correlates poorer with the fire activity during this time of year than later in summer when lightning is a more important cause of fires.


Author(s):  
Brian J. Stocks ◽  
Michael A. Fosberg ◽  
Michael B. Wotton ◽  
Timothy J. Lynham ◽  
Kevin C. Ryan

2014 ◽  
Vol 23 (2) ◽  
pp. 185 ◽  
Author(s):  
Xiao-rui Tian ◽  
Feng-jun Zhao ◽  
Li-fu Shu ◽  
Ming-yu Wang

This paper predicts future changes in fire danger and the fire season in the current century for south-western China under two different climate change scenarios. The fire weather index (FWI) system calculated from daily outputs of a regional climate model with a horizontal resolution of 50×50km was used to assess fire danger. Temperature and precipitation demonstrated a gradually increasing trend for the future. Forest fire statistics for 1987–2011 revealed that the FWI, initial spread index and seasonal severity rating were significantly related to the number of forest fires between 100 and 1000ha in size. Over three future periods, the FWI component indices will increase greatly. The mean FWI value will increase by 0.83–1.85, 1.83–2.91 and 3.33–3.97 in the periods 2011–2040, 2041–2070 and 2071–2100. The regions with predicted FWI increases are mainly in central and south-eastern China. The fire season (including days with high, very high and extreme fire danger ratings) will be prolonged by 9–13, 18–21 and 28–31 days over these periods. This fire season extension will mainly be due to days with an extreme fire danger rating. Considering predicted future changes in the forest fire danger rating and the fire season, it is suggested that climate change adaptation measures be implemented.


2019 ◽  
Vol 159 (1) ◽  
pp. 103-120 ◽  
Author(s):  
Karine Lacroix ◽  
Robert Gifford ◽  
Jonathan Rush

Sign in / Sign up

Export Citation Format

Share Document