Economic Loss Assessment and Spatial-Temporal Distribution Characteristics of Forest Fires: Empirical Evidence from China

被引:6
|
作者
Han, Zhixuan [1 ]
Geng, Guangjie [2 ,3 ]
Yan, Zhen [1 ,4 ,5 ]
Chen, Xi [6 ]
机构
[1] Guangxi Normal Univ, Sch Math & Stat, Guilin 541006, Peoples R China
[2] Univ Int Business & Econ, Sch Banking & Finance, Beijing 100029, Peoples R China
[3] Xuzhou Univ Technol, Sch Finance, Xuzhou 221018, Peoples R China
[4] Guangxi Normal Univ, Ctr Appl Math Guangxi, Guilin 541006, Peoples R China
[5] Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin 541004, Peoples R China
[6] Guangdong Univ Finance, Finance & Investment, Guangzhou 510521, Peoples R China
来源
FORESTS | 2022年 / 13卷 / 12期
关键词
forest fire; economic damage assessment; loss of forest ecological benefits; loss of forest social benefits; spatial and temporal distribution characteristics; MANAGEMENT; IMPACT;
D O I
10.3390/f13121988
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Forest fires are a type of disaster with both human and natural factors; they differ from other forest disasters, in that they can cause significant damage not only to the ecological environments but also to the economy and society in many irreversible ways. While the risk factor of forest fires has been large, systematic studies on economic losses caused by forest fires have been lacking in recent years, and there is also a lack of analysis on forest fire economic losses in both spatial and temporal dimensions. Therefore, based on the forest fire data from 2006 to 2018, this paper establishes a forest fire economic loss evaluation system to calculate the economic losses in China and analyzes the spatial distribution characteristics and change trends of the forest fire economic losses in each province through thermal mapping. The results show the following. (1) The economic loss from forest fires in China is generally characterized by a fluctuating decline, but anomalous values due to human factors may occur. (2) The spatial heterogeneity of economic loss in China's provinces is limited by many factors, such as the differences in resource endowments, showing the characteristics of "low in the eastern and western regions and high in the central region". (3) Forest fires in China cause the most serious losses to forest ecological benefits. (4) Forest resources and fires are not independent of each other between regions, and areas with similar economic losses related to forest fires are often found in blocks. (5) Although the overall economic losses caused by forest fires in China are fluctuating and decreasing, some provinces are showing signs of increasing economic losses, most notably in Inner Mongolia. Therefore, this paper suggests targeted recommendations based on forest fires in different regions and with reference to the changing trends of economic loss caused by forest fires. For low-loss areas, we can further reduce the economic loss per unit area while ensuring that the losses do not increase any further. For high-loss areas, the main focus should be to find the weak points in the adaptation to forest fires. The right way to permanently reduce the damage caused by forest fires is to improve the adaptive and symbiotic capacity of the ecosystems and residential communities in relation to fires in a targeted manner and to improve the capacity for quick economic recovery after a fire.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Spatial-temporal characteristics of cropland distribution and its landscape fragmentation in China
    Wang, Xing
    Hao, Jia-Qi
    Dai, Zhen-Zhong
    Haider, Shahzad
    Chang, Sen
    Zhu, Zhi-Yuan
    Duan, Jia-jia
    Ren, Guang-Xin
    FARMING SYSTEM, 2024, 2 (02):
  • [2] Spatial and temporal variation of air pollutant emissions from forest fires in China
    Song, Rong
    Wang, Tijian
    Han, Juncai
    Xu, Beiyao
    Ma, Danyang
    Zhang, Ming
    Li, Shu
    Zhuang, Bingliang
    Li, Mengmeng
    Xie, Min
    ATMOSPHERIC ENVIRONMENT, 2022, 281
  • [3] Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data
    Pan, Jinghu
    Wu, Xueting
    Zhou, Lu
    Wei, Shimei
    FIRE-SWITZERLAND, 2022, 5 (06):
  • [4] Spatial-temporal characteristics of haze and vertical distribution of aerosols over the Yangtze River Delta of China
    Cao, Yueqian
    Zhang, Wu
    Wang, Wenjing
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2018, 66 : 12 - 19
  • [5] Economic Effects Assessment of Forest City Construction: Empirical Evidence from the County-Level Areas in China
    Zhang, Rongbo
    Zhong, Changbiao
    FORESTS, 2024, 15 (10):
  • [6] Temporal and Spatial Distribution Characteristics and the Influencing Factors of Lightning Fires in Sichuan
    Chen D.
    Wang M.
    Si L.
    Zhao F.
    Li W.
    Li W.
    Shu L.
    Linye Kexue/Scientia Silvae Sinicae, 2023, 59 (10): : 32 - 40
  • [7] Spatial-Temporal Characteristics and Driving Factors of the Coupling Coordination between Population Health and Economic Development in China
    Tang, Hui
    Chen, Yun
    Ao, Rongjun
    Shen, Xue
    Shi, Guoning
    SUSTAINABILITY, 2022, 14 (17)
  • [8] Decoupling effect and spatial-temporal characteristics of carbon emissions from construction industry in China
    Zhou, Ying
    Hu, Dan
    Wang, Tong
    Tian, Huan
    Gan, Lu
    JOURNAL OF CLEANER PRODUCTION, 2023, 419
  • [9] Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China
    Zeng, Ming
    Du, Jiang
    Zhang, Weike
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (23)
  • [10] SPATIO-TEMPORAL DISTRIBUTION OF FOREST FIRES AND VEGETATION RECOVERY IN THE NORTHEAST OF CHINA
    Yi, Kunpeng
    Tani, Hiroshi
    Wang, Xiufeng
    Guo, Meng
    Zhong, Guosheng
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 6423 - 6426