Potential conditions for fire occurrence in vegetation in the Peruvian Andes

2021 ◽  
Author(s):  
Ricardo Zubieta ◽  
Fernando Prudencio ◽  
Yerson Ccanchi ◽  
Miguel Saavedra ◽  
Juan Sulca ◽  
...  
Keyword(s):  
Fire Occurrence ◽  
Peruvian Andes ◽  
Potential Conditions

LATE GLACIAL AND HOLOCENE GLACIER FLUCTUATIONS IN THE CORDILLERA BLANCA, PERUVIAN ANDES

2016 ◽  
Author(s):  
Nathan Stansell ◽  
◽  
Donald T. Rodbell ◽  
Joseph M. Licciardi ◽  
Mark B. Abbott ◽  
...  
Keyword(s):  
Late Glacial ◽  
Cordillera Blanca ◽  
Peruvian Andes ◽  
Glacier Fluctuations ◽  
Late Glacial And Holocene

Optimal Positioning of Power Quality Meters for Monitoring Potential Conditions of Harmonic Resonances in a MV Distribution System

2019 ◽  
Vol 34 (5) ◽  
pp. 1885-1897 ◽  
Author(s):  
Fernando Bambozzi Bottura ◽  
Mario Oleskovicz ◽  
Trung Dung Le ◽  
Marc Petit
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Potential Conditions

scholarly journals ENSO modulates wildfire activity in China

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Keyan Fang ◽  
Qichao Yao ◽  
Zhengtang Guo ◽  
Ben Zheng ◽  
Jianhua Du ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Southern Oscillation ◽  
Fire Suppression ◽  
Winter Season ◽  
Plant Tissues ◽  
Fire Occurrence ◽  
Subtropical China ◽  
Southeastern China ◽  
Temperature Ranges ◽  
Low Precipitation

AbstractChina is a key region for understanding fire activity and the drivers of its variability under strict fire suppression policies. Here, we present a detailed fire occurrence dataset for China, the Wildfire Atlas of China (WFAC; 2005–2018), based on continuous monitoring from multiple satellites and calibrated against field observations. We find that wildfires across China mostly occur in the winter season from January to April and those fire occurrences generally show a decreasing trend after reaching a peak in 2007. Most wildfires (84%) occur in subtropical China, with two distinct clusters in its southwestern and southeastern parts. In southeastern China, wildfires are mainly promoted by low precipitation and high diurnal temperature ranges, the combination of which dries out plant tissue and fuel. In southwestern China, wildfires are mainly promoted by warm conditions that enhance evaporation from litter and dormant plant tissues. We further find a fire occurrence dipole between southwestern and southeastern China that is modulated by the El Niño-Southern Oscillation (ENSO).

scholarly journals Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 392
Author(s):  
Zige Lan ◽  
Zhangwen Su ◽  
Meng Guo ◽  
Ernesto C. Alvarado ◽  
Futao Guo ◽  
...  
Keyword(s):  
Human Factors ◽  
Large Scale ◽  
Fire Occurrence ◽  
Climate Factors ◽  
Wildfire Occurrence ◽  
Prediction And Prevention ◽  
Data Resolution ◽  
Main Driver ◽  
Landscape Factors ◽  
Modelling Approach

Understanding the drivers of wildfire occurrence is of great value for fire prevention and management, but due to the variation in research methods, data sources, and data resolution of those studies, it is challenging to conduct a large-scale comprehensive comparative qualitative analysis on the topic. China has diverse vegetation types and topography, and has undergone rapid economic and social development, but experiences a high frequency of wildfires, making it one of the ideal locations for wildfire research. We applied the Random Forests modelling approach to explore the main types of wildfire drivers (climate factors, landscape factors and human factors) in three high wildfire density regions (Northeast (NE), Southwest (SW), and Southeast (SE)) of China. The results indicate that climate factors were the main driver of wildfire occurrence in the three regions. Precipitation and temperature significantly impacted the fire occurrence in the three regions due to the direct influence on the moisture content of forest fuel. However, wind speed had important influence on fire occurrence in the SE and SW. The explanation power of the landscape and human factors varied significantly between regions. Human factors explained 40% of the fire occurrence in the SE but only explained less than 10% of the fire occurrence in the NE and SW. The density of roads was identified as the most important human factor driving fires in all three regions, but railway density had more explanation power on fire occurrence in the SE than in the other regions. The landscape factors showed nearly no influence on fire occurrence in the NE but explained 46.4% and 20.6% in the SE and SW regions, respectively. Amongst landscape factors, elevation had the highest average explanation power on fire occurrence in the three regions, particularly in the SW. In conclusion, this study provides useful insights into targeted fire prediction and prevention, which should be more precise and effective under climate change and socio-economic development.

scholarly journals Public Perceptions of Climate Change in the Peruvian Andes

2021 ◽  
Vol 13 (5) ◽  
pp. 2677
Author(s):  
Adrian Brügger ◽  
Robert Tobias ◽  
Fredy S. Monge-Rodríguez
Keyword(s):  
Climate Change ◽  
Low Income ◽  
Public Perceptions ◽  
Climate Impacts ◽  
Vulnerable Groups ◽  
Extreme Weather Events ◽  
High Mountain ◽  
Peruvian Andes ◽  
Food Shortages ◽  
Education Levels

How people subjectively perceive climate change strongly influences how they respond to its challenges. To date, relatively little is known about such perceptions in the Global South. This research examines public perceptions of climate change in the Peruvian Andes, a semi-arid high-mountain region that is highly exposed and vulnerable to adverse effects of climate change. Based on questionnaire data collected through face-to-face interviews (N = 1316), we found that respondents identify various climate-related issues as the most important challenges for their country. Many of these issues are related to water. Respondents also noticed more subtle changes and expected them to continue (e.g., extreme temperatures, food shortages). Climate impacts were clearly seen as negative, which was also reflected in the presence of emotions. When compared to previous research, more respondents had personally experienced extreme weather events (80%) and they were more certain that the climate is already changing, is caused by human activity, and is affecting distant and close places similarly. A comparison of the perceptions along different socioeconomic characteristics suggests that more vulnerable groups (e.g., rural, low income and education levels) tended to perceive climate change as more consequential, closer, and as a more natural (vs. anthropogenic) phenomenon than those from less vulnerable groups. The salience of water-related problems and personal experiences of climate-related events, as well as differences between various subgroups, could be used to improve measures to adapt to the consequences of climate change by correcting misconceptions of the population and of decisionmakers.

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