{"title":"An Overview of Forest Fire Regimes and Their Constitution Basis","authors":"Kaixuan Zhang, Haihui Wang, Chaopeng Wu, Zhenhai Qin, Zepeng Wu","doi":"10.57237/j.jaf.2023.01.003","DOIUrl":null,"url":null,"abstract":": Prediction of future fire probability and severity lays the foundation for formulating ecological fire prevention and global environmental protection policies. The present work focuses on overview of the fire regimes and their constitution basis to promote the understanding on the fire regime parameters and the related mechanism operated in the ecosystem. Through the application of remote sensing technology and fire models in fire regime research and predictions, research progress and achievements were made in systematically quantifying the fire characteristic parameters, with the emphasis on the influence of forest stand characteristics on fire regimes under climate change. It has been well understood that the fire regimes have obvious spatiotemporal characteristics from regional to global scale, and the fire regimes are closely related to forest stands and climate. The future fire regimes are likely to be dominated by climate changes. For this reason, the future research on fire regimes needs to further study the spatiotemporal fire process and quantify the parameters of fire regimes through constantly exploring the mechanism of the fire regimes driven by climate changes and the control measures; meanwhile, the research on fire regimes will continue to serve as a basis for forest fire management.","PeriodicalId":23365,"journal":{"name":"TURKISH JOURNAL OF AGRICULTURE AND FORESTRY","volume":"13 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TURKISH JOURNAL OF AGRICULTURE AND FORESTRY","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.57237/j.jaf.2023.01.003","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
: Prediction of future fire probability and severity lays the foundation for formulating ecological fire prevention and global environmental protection policies. The present work focuses on overview of the fire regimes and their constitution basis to promote the understanding on the fire regime parameters and the related mechanism operated in the ecosystem. Through the application of remote sensing technology and fire models in fire regime research and predictions, research progress and achievements were made in systematically quantifying the fire characteristic parameters, with the emphasis on the influence of forest stand characteristics on fire regimes under climate change. It has been well understood that the fire regimes have obvious spatiotemporal characteristics from regional to global scale, and the fire regimes are closely related to forest stands and climate. The future fire regimes are likely to be dominated by climate changes. For this reason, the future research on fire regimes needs to further study the spatiotemporal fire process and quantify the parameters of fire regimes through constantly exploring the mechanism of the fire regimes driven by climate changes and the control measures; meanwhile, the research on fire regimes will continue to serve as a basis for forest fire management.
期刊介绍:
The Turkish Journal of Agriculture and Forestry is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK).
It publishes, in English, full-length original research papers and solicited review articles on advances in agronomy, horticulture, plant breeding, plant protection, plant molecular biology and biotechnology, soil science and plant nutrition, bionergy and energy crops, irrigation, agricultural technologies, plant-based food science and technology, forestry, and forest industry products.