ArticleScientific data2022
A global map of planting years of plantations.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Global impacts of transportation infrastructure on forest degradation and loss.Nature communications · 2026Article
- Global patterns of commodity-driven deforestation and associated carbon emissions.Nature food · 2026Article
- Article
- A dataset of forest regrowth in globally key deforestation regions.Scientific data · 2025Article
- Global planted forest data for timber species.Scientific data · 2024Article
- Road fragment edges enhance wildfire incidence and intensity, while suppressing global burned area.Nature communications · 2024Article
- Charting the future of high forest low deforestation jurisdictions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Mapping of secondary forest age in China using stacked generalization and Landsat time series.Scientific data · 2024Article
- Uncertainties in deforestation emission baseline methodologies and implications for carbon markets.Nature communications · 2023Article
- Article
- Spatial database of planted forests in East Asia.Scientific data · 2023Article
- Toward a roadmap for space-based observations of the land sector for the UNFCCC global stocktake.iScience · 2023Review
- A global map of planting years of plantations.Scientific data · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plantation is an important land use type that differs from natural forests and affects the economy and the environment. Tree age is one of the key factors used to quantify the impact of plantations. However, there is a lack of datasets explicitly documenting the planting years of global plantations. Here we used time-series Landsat archive from 1982 to 2020 and the LandTrendr algorithm to generate global maps of planting years based on the global plantation extent products in Google Earth Engine (GEE) platform. The datasets developed in this study are in a GeoTIFF format with 30-meter spatial resolution by recording gridded specie types and planting years of global plantations. The derived dataset could be used for yield prediction of tree crops and social and ecological cost-benefit analysis of plantations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.