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ZENODO
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License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Deforestation risk embodied in production and consumption of agricultural and forestry commodities 2005-2018

Authors: Pendrill, Florence; Persson, U. Martin; Kastner, Thomas; Richard Wood;

Deforestation risk embodied in production and consumption of agricultural and forestry commodities 2005-2018

Abstract

{"references": ["Pendrill, F., Persson, U. M., Godar, J. and Kastner, T. (2019a) 'Deforestation displaced: trade in forest-risk commodities and the prospects for a global forest transition', Environmental Research Letters, 14(5). https://doi.org/10.1088/1748-9326/ab0d41", "Pendrill, F., Persson, U. M., Godar, J., Kastner, T., Moran, D., Schmidt, S., & Wood, R. (2019b). Agricultural and forestry trade drives large share of tropical deforestation emissions. Global environmental change, 56, 1-10. https://doi.org/10.1016/j.gloenvcha.2019.03.002", "Pendrill, F., Persson, F. & Kastner, T. (2020). 'Deforestation risk embodied in production and consumption of agricultural and forestry commodities 2005-2017'. Chalmers University of Technology, Senckenberg Society for Nature Research, SEI, and Ceres Inc. DOI: 10.5281/zenodo.4250532"]}

This dataset is an update of Pendrill et al. (2020) and contains estimates of tropical deforestation embodied in the production, exports, imports and consumption of agricultural and forestry commodities by country, year, and commodity, in the time period 2005-2018. The data is derived using a land-balance model to attribute deforestation across 135 countries in the tropics to expansion of cropland, pastures and forest plantation and the commodities produced on this land, and tracing these commodities to consumption using a two different trade models: a physical trade model and a multi-regional input-output model. The model and original results are presented in Pendrill et al. (2019a, b).

Keywords

land-use change, deforestation, carbon emissions, agricultural trade

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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