2021•International Journal of Wildland FireRequires access

Spatial accessibility of anthropogenic fire ignition sources of grassland fire in northeast China

Zhengxiang Zhang, Jianjie Li, Shan Yu, Jianjun Zhao

Open publisher page 4 citations

Abstract

Fires can have an enormous impact on grassland systems, affecting their ecology as well as their economic productivity. As most grassland fires are caused by human activities, understanding the relationship between anthropogenic activities that cause fires and where fire ignitions occur is essential in determining where grassland fires pose the greatest risk. Any potential model to predict the spatial distribution and intensity of anthropogenic activities that cause grassland fire ignition needs to take into account the size of residential areas, roads and area of land that is cultivated. The spatial accessibility of human activities that cause grassland fire ignitions was predicted by the model to represent the ability of human driving factors that influence the occurrence of grassland fire ignitions. An index of spatial accessibility of anthropogenic fire ignition sources was overlapped with artificially generated neural networks. Within the index, five categories were created to adequately assess the level of ignition risk to grassland fires: extremely low, low, medium, high and extremely high. The percentages of actual fires in each ignition risk zone from low to high were 2.94%, 18.82%, 20.01%, 22.35% and 35.88%. This methodology provides new insight into how human factors affect the occurrence of wildland fire.

About this research paper

What this paper is about

Fires can have an enormous impact on grassland systems, affecting their ecology as well as their economic productivity. As most grassland fires are caused by human activities, understanding the relationship between anthropogenic activities that cause fires and where fire ignitions occur is essential in determining where grassland fires pose the greatest risk. Any potential model to predict the spatial distribution and intensity of anthropogenic activities that cause grassland fire ignition needs to take into account the size of residential areas, roads and area of land that is cultivated. The spatial accessibility of human activities that cause grassland fire ignitions was predicted by the model to represent the ability of human driving factors that influence the occurrence of grassland fire ignitions. An index of spatial accessibility of anthropogenic fire ignition sources was overlapped with artificially generated neural networks. Within the index, five categories were created to adequately assess the level of ignition risk to grassland fires: extremely low, low, medium, high and extremely high. The percentages of actual fires in each ignition risk zone from low to high were 2.94%, 18.82%, 20.01%, 22.35% and 35.88%. This methodology provides new insight into how human factors affect the occurrence of wildland fire.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Fires can have an enormous impact on grassland systems, affecting their ecology as well as their economic productivity. As most grassland fires are caused by human activities, understanding the relationship between anthropogenic activities that cause fires and where fire ignitions occur is essential in determining where grassland fires pose the greatest risk. Any potential model to predict the spatial distribution and intensity of anthropogenic activities that cause grassland fire ignition needs to take into account the size of residential areas, roads and area of land that is cultivated. The spatial accessibility of human activities that cause grassland fire ignitions was predicted by the model to represent the ability of human driving factors that influence the occurrence of grassland fire ignitions. An index of spatial accessibility of anthropogenic fire ignition sources was overlapped with artificially generated neural networks. Within the index, five categories were created to adequately assess the level of ignition risk to grassland fires: extremely low, low, medium, high and extremely high. The percentages of actual fires in each ignition risk zone from low to high were 2.94%, 18.82%, 20.01%, 22.35% and 35.88%. This methodology provides new insight into how human factors affect the occurrence of wildland fire.

Key concepts: Grassland, Fire regime, Environmental science, Physical geography, Disturbance (geology), Vegetation (pathology), Ecology, Geography

Related papers

Back to paper searchBrowse research topicsOriginal source
Spatial accessibility of anthropogenic fire ignition sources of grassland fire in northeast China — Research Paper | ScholarLens