The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/44f7b164-d85e-49a5-b0db-64f3f71772fb

Requena Suarez, Daniela; Rozendaal, Danaë M.A.; De Sy, Veronique (Niki); Decuyper, Mathieu; Málaga, Natalia et. al. (2023): Data and Code underlying the article Forest Disturbance and Recovery in Peruvian Amazonia. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/44f7b164-d85e-49a5-b0db-64f3f71772fb.v1

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Categories

• Ecological Applications
• Ecology
• Forestry
• Climate and Climate Change
• Plant Production and Plant Primary Products
• Biological Sciences
• Environmental Sciences
• Environment

Keywords

aboveground biomass (AGB) disturbance intensity National Forest Inventory (NFI) species richness time since disturbance tropical forests

Geolocation

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Daniela Requena Suarez, Danaë M.A. Rozendaal, Veronique (Niki) De Sy, Mathieu Decuyper , Natalia Málaga, Patricia Durán Montesinos, Alexs Arana Olivos, Ricardo De la Cruz Paiva, Christopher Martius , Martin Herold

The data and code in this repository can be used to reproduce the analysis Requena Suarez et al. (2023), "Forest Disturbance and Recovery in Peruvian Amazonia". Spatial datasets used in this study are accessible from the sources cited in Table 1 of the main study. Estimation of disturbance and time since disturbance was done using the AVOCADO algorithm (Decuyper et al, 2022, https://doi.org/10.1016/j.rse.2021.112829), and Landsat imagery downloaded from Google Earth Engine. The underlying code for AVOCADO can be found in the following GitHub repository: https://github.com/MDecuy/AVOCADO, as well as a tutorial: https://www.pucv.cl/uuaa/labgrs/proyectos/avocado. 

History

• 2023-03-20 first online

• 2023-03-22 published, posted

Publisher

4TU.ResearchData

Format

csv files, R scripts, txt file

Organizations

Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research
Plant Production Systems Group, Wageningen University & Research
Centre for Crop Systems Analysis, Wageningen University & Research
Forest Ecology and Forest Management Group, Wageningen University & Research
Centre for International Forestry Research and World Agroforestry (CIFOR-ICRAF)
Servicio Nacional Forestal y de Fauna Silvestre (SERFOR)
Helmholtz Center Potsdam GFZ German Research Centre for Geosciences