Trees are an integral part in European landscapes, but only forest resources are systematically assessed by national inventories. The contribution of urban and agricultural trees to national-level carbon stocks remains largely unknown. Here we produced canopy cover, height and above-ground biomass maps from 3-meter resolution nanosatellite imagery across Europe. Our biomass estimates have a systematic bias of 7.6% (overestimation; = 0.98) compared to national inventories of 30 countries, and our dataset is sufficiently highly resolved spatially to support the inclusion of tree biomass outside forests, which we quantify to 0.8 petagrams. Although this represents only 2% of the total tree biomass, large variations between countries are found (10% for UK) and trees in urban areas contribute substantially to national carbon stocks (8% for the Netherlands). The agreement with national inventory data, the scalability, and spatial details across landscapes, including trees outside forests, make our approach attractive for operational implementation to support national carbon stock inventory schemes.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10881069 | PMC |
| http://dx.doi.org/10.1126/sciadv.adh4097 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improved methodology for tracing a pulse of 13C-labelled tree photosynthate carbon to ectomycorrhizal roots, other soil biota and soil processes in the field.
Tree Physiol
December 2024
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå.
Isotopic pulse-labelling of photosynthate allows tracing of carbon (C) from tree canopies to belowground biota and calculations of its turnover in roots and recipient soil microorganisms. A high concentration of label is desirable, but is difficult to achieve in field studies of intact ecosystem patches with trees. Moreover, root systems of trees overlap considerably in most forests, which requires a large labelled area to minimize the impact of C allocated belowground by un-labelled trees.
View Article and Find Full Text PDFComparative transcriptome analysis and heterologous overexpression indicate that the ZjZOG gene may positively regulate the size of jujube fruit.
BMC Plant Biol
December 2024
Henan Province Key Laboratory of Germplasm Innovation and Utilization of Eco- economic Woody Plant, Pingdingshan University, Pingdingshan, Henan, 467000, China.
Background: Fruit size is a crucial economic trait that impacts the quality of jujube (Ziziphus jujuba), however, research in this area remains limited. This study utilized two jujube cultivars with similar genetic backgrounds but differing fruit sizes to investigate the regulatory mechanisms affecting fruit size through cytological observations, transcriptome sequencing, and heterologous overexpression.
Results: The findings reveal that variations in mesocarp cell numbers during early fruit development significantly influence final fruit size.
Clustering and classification for dry bean feature imbalanced data.
Sci Rep
December 2024
School of Big Data, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support vector machine (SVM) have low classification performance. This paper proposes an algorithm for the dry bean dataset and obesity levels dataset that can balance the minority class and the majority class and has a clustering function to improve the traditional machine learning classification accuracy and various performance indicators such as precision, recall, f1-score, and area under curve (AUC) for imbalanced data. The key idea is to use the advantages of borderline-synthetic minority oversampling technique (BLSMOTE) to generate new samples using samples on the boundary of minority class samples to reduce the impact of noise on model building, and the advantages of K-means clustering to divide data into different groups according to similarities or common features.
View Article and Find Full Text PDFStable nutrient utilization of trees promotes community biomass accumulation in Korean pine and broad-leaved mixed forests after logging.
J Environ Manage
December 2024
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China. Electronic address:
The recovery of community productivity in disturbed temperate forests is affected by fluctuating nutrient environments. How plant growth achieves high biomass accumulation in a limited nutrient environment remains unclear but may be attributed to the flexibility of plant nutrient utilization. Nutrient homeostasis (H) reflects the ability of plant tissues to maintain a relatively constant N and P content under nutrient fluctuations and represents flexible or stable plant nutrient utilization.
View Article and Find Full Text PDFMetabolic profiling and antibacterial activity of tree wood extracts obtained under variable extraction conditions.
Metabolomics
December 2024
School of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.
Introduction: Tree bacterial diseases are a threat in forestry due to their increasing incidence and severity. Understanding tree defence mechanisms requires evaluating metabolic changes arising during infection. Metabolite extraction affects the chemical diversity of the samples and, therefore, the biological relevance of the data.
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!