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Forests
Special Issues
Managing Forest Wildfires in Climate Changes: New Paradigms and Challenges
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Managing Forest Wildfires in Climate Changes: New Paradigms and Challenges

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Natural Hazards and Risk Management".

Deadline for manuscript submissions: 26 September 2024 | Viewed by 1814

Special Issue Editors

Prof. Dr. Rafael Coll Delgado

E-Mail Website
Guest Editor
Center for Biological and Natural Sciences, Federal University of Acre, Rio Branco 69920-900, AC, Brazil
Interests: climate change; forest fires; forest soils; gross primary productivity; carbon emissions; deforestation; remote sensing and fire meteorology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marcos Gervásio Pereira

E-Mail Website
Guest Editor
Department of Soils, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica 23897-000, RJ, Brazil
Interests: climate change; forest fires; forest soils; gross primary productivity; carbon emissions; deforestation; remote sensing and fire meteorology

Special Issue Information

Dear Colleagues,

Climate change has become a central theme of global discussions on environmental issues, in an attempt to ensure that the agreements signed in the past to reduce global emissions of greenhouse gases can be fulfilled. In recent decades, catastrophes arising from anthropic actions and also resulting from natural processes that affect millions of people worldwide have been observed on all continents. Forest fires associated with anthropic issues and the increase in global temperature in recent decades have been the scene of several studies involving numerous researchers. Remote sensing has been gaining new ground and new applications in recent years, being able to generate climate data from natural spaces, such as forest area coverage or fire advances in certain regions. The understanding of the monitoring carried out by remote sensors allows the establishment of observations and accurate analysis of climatic data and natural phenomena. In view of the global panorama of combating climate change, and considering the vulnerability of forests, it is important to understand past events of deforestation and fire outbreaks to understand their effect on the carbon cycle and ecosystem services of the forest.

Submitted manuscripts must be original contributions, not previously published or submitted to other journals.

Prof. Dr. Rafael Coll Delgado
Prof. Dr. Marcos Gervásio Pereira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • forest fires
  • forest soils
  • gross primary productivity
  • carbon emissions
  • deforestation
  • remote sensing
  • fire meteorology

Published Papers (2 papers)

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Research

17 pages, 4439 KiB  
Communication
Functional Diversity of Soil Microorganisms in Taiga Forests in the Middle and Late Stages of Restoration after Forest Fires
by Zhichao Cheng, Mingliang Gao, Hong Pan, Xiaoyu Fu, Dan Wei, Xinming Lu, Song Wu and Libin Yang
Forests 2024, 15(7), 1220; https://doi.org/10.3390/f15071220 - 14 Jul 2024
Viewed by 496
Abstract
Fire can significantly affect the structure and function of forest soil microorganisms. Therefore, it is important to study the effects of different fire intensities on soil microbial carbon source utilization capacity in cold-temperate larch forests to protect and utilize forest ecosystems. In this [...] Read more.
Fire can significantly affect the structure and function of forest soil microorganisms. Therefore, it is important to study the effects of different fire intensities on soil microbial carbon source utilization capacity in cold-temperate larch forests to protect and utilize forest ecosystems. In this study, we investigated the effects of different burning intensities on the carbon utilization capacity of soil microorganisms in fire sites from 2010 and 2000 using Biolog-Eco technology. Our findings revealed that (1) fire significantly increased soil pH, AN (available nitrogen), and AK (available potassium) (p < 0.05); (2) fire significantly increased the average color change rate (AWCD) of soil microorganisms (p < 0.05); (3) the Shannon index of soil microorganisms increased significantly, whereas the Simpson index and the McIntosh index decreased significantly after the fire—however, the McIntosh index in the 10M site was not altered; (4) the metabolic functions of soil microbial communities differed significantly among different fire intensities—MC (moisture content), TN (total nitrogen), and AK were the most influential soil environmental factors in the soil microbial community; and (5) mid-term fire restoration significantly increased microbial responses to carbohydrates, amino acids, esters, alcohols, amines, and acids, while late-fire burn sites significantly increased the microbial utilization intensity of amino acids, esters, and acids. In conclusion, fire significantly altered the functional diversity of soil microorganisms and microbial activities related to carbon source substrate utilization. Additionally, the ability of microorganisms to utilize a single carbon source substrate was also altered. Full article
(This article belongs to the Special Issue Managing Forest Wildfires in Climate Changes: New Paradigms and Challenges)
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39 pages, 9776 KiB  
Article
Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis
by Yee Jian Chew, Shih Yin Ooi, Ying Han Pang and Zheng You Lim
Forests 2024, 15(6), 923; https://doi.org/10.3390/f15060923 - 26 May 2024
Viewed by 587
Abstract
This study developed a comprehensive framework using Google Earth Engine to efficiently generate a forest fire inventory dataset, which enhanced data accessibility without specialized knowledge or access to private datasets. The framework is applicable globally, and the datasets generated are freely accessible and [...] Read more.
This study developed a comprehensive framework using Google Earth Engine to efficiently generate a forest fire inventory dataset, which enhanced data accessibility without specialized knowledge or access to private datasets. The framework is applicable globally, and the datasets generated are freely accessible and shareable. By implementing the framework in Peninsular Malaysia, significant forest fire factors were successfully extracted, including the Keetch–Byram Drought Index (KBDI), soil moisture, temperature, windspeed, land surface temperature (LST), Palmer Drought Severity Index (PDSI), Normalized Vegetation Index (NDVI), landcover, and precipitation, among others. Additionally, this study also adopted large language models, specifically GPT-4 with the Noteable plugin, for preliminary data analysis to assess the dataset’s validity. Although the plugin effectively performed basic statistical analyses and visualizations, it demonstrated limitations, such as selectively dropping or choosing only relevant columns for tests and automatically modifying scales. These behaviors underscore the need for users to perform additional checks on the codes generated to ensure that they accurately reflect the intended analyses. The initial findings indicate that factors such as KBDI, LST, climate water deficit, and precipitation significantly impact forest fire occurrences in Peninsular Malaysia. Future research should explore extending the framework’s application to various regions and further refine it to accommodate a broader range of factors. Embracing and rigorously validating large language model technologies, alongside developing new tools and plugins, are essential for advancing the field of data analysis. Full article
(This article belongs to the Special Issue Managing Forest Wildfires in Climate Changes: New Paradigms and Challenges)
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