Year: 2024
Type: data-paper
Abstract: Wildfires result in forest loss or degradation and release substantial emissions into the atmosphere. Forest regrowth following these fires allows for ecosystem repair and carbon replenishment. However, there is a lack of datasets explicitly characterizing the forest regrowth after fires. Here we employed multiple remotely sensed datasets to generate the first global maps of forest structure regrowth including forest height, aboveground biomass (AGB), leaf area index (LAI), and fraction of photosynthetically active radiation (FPAR) following wildfires at a 30 m spatial resolution. The regrowth index for each structural parameter includes regrowth ratio and rate at 5-year intervals, primarily from 2000 to 2020. The dataset developed in this study provides detailed insights into the characteristics of global forest regrowth following forest fires in both spatial and temporal dimensions, contributing to the assessment of forest ecology equilibrium and the quantification of forest carbon dynamics.
Source: Scientific Data
Authors: Jinlong Zang, Feng Qiu, Yongguang Zhang
Institutions: Chinese Academy of Sciences, Ministry of Natural Resources, Aerospace Information Research Institute, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, State Key Laboratory of Remote Sensing Science, Nanjing University, Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences
Language: English
Topic: Fire effects on ecosystems
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: gold
Estimated APC paid: $2,290
Award: G4472750212
OpenAlex ID: W4402901098