A national distribution of secondary forest age (SFA) is essential for understanding the forest ecosystem and carbon stock in China. While past studies have mainly used various change detection algorithms to detect forest disturbance, which cannot adequately characterize the entire forest landscape. This study developed a data-driven approach for improving performances of the Vegetation Change Tracker (VCT) and Continuous Change Detection and Classification (CCDC) algorithms for detecting the establishment of forest stands. An ensemble method for mapping national-scale SFA by determining the establishment time of secondary forest stands using change detection algorithms and dense Landsat time series was proposed. A dataset of national secondary forest age for China (SFAC) for 1 to 34 and with a 30-m spatial resolution was produced from the optimal ensemble model. This dataset provides national, continuous spatial SFA information and can improve understanding of secondary forests and the estimation of forest carbon storage in China.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10944476 | PMC |
| http://dx.doi.org/10.1038/s41597-024-03133-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bryophytes as Indicators of Disturbance in One of the Last Remnants of the Mountain Forests of El Oro Province, Ecuador.
Plants (Basel)
January 2025
Departamento de Ciencias Jurídicas, Universidad Técnica Particular de Loja, Loja 1101608, Ecuador.
Epiphytic bryophytes are an important component in terms of the diversity and functioning of montane forests known as biodiversity hotspots. Bryophytes are highly dependent on their external environments because they are sensitive to environmental changes related to disturbance, fragmentation, air pollution, and climate change. The richness and composition of bryophytes in remnants of primary and secondary forests were analyzed, where the richness and cover were recorded on trunk bases of 120 trees.
View Article and Find Full Text PDFInfluence of Environmental Factors on the Aboveground Biomass of Mature and Postmining Forests in Chocó.
Life (Basel)
January 2025
Department of Agroforestry Sciences, Institute of Sustainable Forest Management Research UVa_INIA, E.T.S. (Higher Technical School) of Agrarian Engineering of Palencia, University of Valladolid, 34004 Palencia, Spain.
Environmental factors control the accumulation of aboveground biomass (AB) in tropical forests, along with the role of AB in climate change mitigation. As such, the objective of this study was to evaluate the influence of factors such as forest type, succession, abundance of individuals, species richness, height, diameter, texture, and soil nutrient levels on the AB in mature and postmining forests in Chocó, Colombia. Five plots each were set up in primary and postmining forests with 15 and 30 years of regeneration, in which the amount of AB was measured and related to the environmental factors.
View Article and Find Full Text PDFCharacteristics and Functions of , a Terpenoid Synthesis-Related Gene in Lamb.
Int J Mol Sci
January 2025
State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing 210037, China.
Terpenoids, abundant and structurally diverse secondary metabolites in plants, especially in conifer species, play crucial roles in the plant defense mechanism and plant growth and development. In , terpenoids' biosynthesis relies on both the mevalonate (MVA) pathway and the 2-methyl-D-erythritol-4-phosphate (MEP) pathway, with 1-hydroxy-2-methyl-2-(E)-butenyl-4-diphosphate synthase (HDS) catalyzing the sixth step of the MEP pathway. In this study, we cloned and conducted bioinformatics analysis of the gene from .
View Article and Find Full Text PDFThe Role of Extracts of Edible Parts and Production Wastes of Globe Artichoke ( L. var. (L.)) in Counteracting Oxidative Stress.
Antioxidants (Basel)
January 2025
Department for Innovation in Biological, Agro-Food and Forest Systems, Tuscia University, 01100 Viterbo, Italy.
In addition to the immature edible flower heads, the cultivation of globe artichoke ( L. var. (L.
View Article and Find Full Text PDFMachine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective Observational Study by Using the Common Data Model.
Diagnostics (Basel)
January 2025
Department of Regulatory Science, College of Pharmacy, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
: Earlier detection of severe immune-related hematological adverse events (irHAEs) in cancer patients treated with a PD-1 or PD-L1 inhibitor is critical to improving treatment outcomes. The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. : We utilized the Observational Medical Outcomes Partnership-Common Data Model based on electronic medical records from a tertiary (KHMC) and a secondary (KHNMC) hospital in South Korea.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!