Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.9
Journals
Forests
Special Issues
Forest Regeneration and Landscape Resilience after Wildfire
share announcement

Forest Regeneration and Landscape Resilience after Wildfire

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

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 2320

Special Issue Editors

Dr. Meng Guo

E-Mail Website
Guest Editor
Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
Interests: forest fires; fire ecology; fire regimes; pyrogeography; carbon emissions; remote sensing
Dr. Satyam Verma

E-Mail Website
Guest Editor
Department of Environmental Sciences, SRM University-AP, Amravati 522240, Andhra Pradesh, India
Interests: forest fires; fire ecology; ecological modeling; carbon dynamics; climate change; tropical forest ecology; landscape ecology; geospatial technologies
Dr. Ernesto Alvarado

E-Mail Website
Guest Editor
School of Environmental and Forest Sciences, University of Washington, Mailbox 352100, Seattle, WA 98195, USA
Interests: climate change and adaptation; ecosystem science; fire science; landscape ecology; restoration ecology; statistics; spatial analysis and modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaoyi Guo

E-Mail Website
Guest Editor
Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
Interests: fire disturbance; vegetation dynamics; hazard system modeling; spatio-temporal data analysis; remote sensing

Special Issue Information

Dear Colleagues,

Wildfires are one of the most important natural disasters affecting forest ecosystems, with hundreds of thousands of forest fires occurring annually around the world. In addition to causing severe loss of forest resources, they also increase the spatial heterogeneity of the forest environment, alters forest succession and vegetation composition, and reshapes landscape diversity, which have an impact on vegetation regeneration and recovery. Post-fire vegetation recovery is affected by topography, soil and fire intensity, which cause different vegetation succession speeds and directions. Climate change could also affect post-fire recovery processes by impacting seed germination and seedling growth. Therefore, accurate evaluation of post-fire vegetation recovery, especially under different fire severities, provides vital information for forest management and the formulation of forest fire policies. This special issue focuses on the novel techniques for studying vegetation recovery after wildfires and identifying the factors that affect the post-fire vegetation recover processes in different regions. It also proposes new perspectives on understanding the effect of wildfire on landscapes and ecosystems.

Potential topics include, but are not limited to:

  • Post-fire vegetation recovery processes;
  • Factors affect post-fire vegetation recovery;
  • Biodiversity changes of burned regions;
  • Landscape resilience after Wildfire;
  • Effect of wildfire on plants and soil;
  • Novel techniques in identifying post-fire vegetation recovery;
  • Effects of wildfire on permafrost in boreal forest;
  • Accumulation of above-ground biomass after wildfire.
  • Post-fire management practices and forest regeneration
  • Effect of Climate Change on Wildfires and landscape resilience

Dr. Meng Guo
Dr. Satyam Verma
Dr. Ernesto Alvarado
Dr. Xiaoyi Guo
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

  • wildfire
  • fire ecology
  • post-fire vegetation recover
  • post-fire forest regeneration
  • post-fire landscape resilience
  • vegetation succession

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 10256 KiB  
Article
Estimation of Aboveground Biomass of Individual Trees by Backpack LiDAR Based on Parameter-Optimized Quantitative Structural Models (AdQSM)
by A Ruhan, Wala Du, Hong Ying, Baocheng Wei, Yu Shan and Haiyan Dai
Forests 2023, 14(3), 475; https://doi.org/10.3390/f14030475 - 27 Feb 2023
Cited by 4 | Viewed by 1851
Abstract
Forest aboveground biomass (AGB) plays a key role in assessing forest productivity. In this study, we extracted individual tree structural parameters using backpack LiDAR, assessed their accuracy using terrestrial laser scanning (TLS) data and field measurements as reference values, and reconstructed 3D models [...] Read more.
Forest aboveground biomass (AGB) plays a key role in assessing forest productivity. In this study, we extracted individual tree structural parameters using backpack LiDAR, assessed their accuracy using terrestrial laser scanning (TLS) data and field measurements as reference values, and reconstructed 3D models of trees based on parameter-optimized quantitative structural models (AdQSM). The individual tree AGB was estimated based on individual tree volumes obtained from the tree model reconstruction, combined with the basic wood density values of specific tree species. In addition, the AGB calculated using the allometric biomass models was validated to explore the feasibility of nondestructive estimation of individual tree AGB by backpack LiDAR. We found that (1) the backpack LiDAR point cloud extracted individual tree diameter at breast height (DBH) with high accuracy. In contrast, the accuracy of the tree height extraction was low; (2) the optimal parameter values of the AdQSM reconstruction models for Larix gmelinii and Betula platyphylla were HS = 0.4 m and HS = 0.6 m, respectively; (3) the individual tree AGB estimated based on the backpack LiDAR and AdQSM fit well with the reference values. Our study confirms that backpack LiDAR can nondestructively estimate individual tree AGB, which can provide a reliable basis for further forest resource management and carbon stock estimation. Full article
(This article belongs to the Special Issue Forest Regeneration and Landscape Resilience after Wildfire)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop