The Biodiversity Footprint Database
收藏NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8369649
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资源简介：
The Biodiversity Footprint Database contains global consumption-based, monetary, biodiversity impact factors for 44 countries and five rest of the world regions. The dataset has been compiled by combining information from EXIOBASE and LC-IMPACT databases. In addition, the EXIOBASE database has been analyzed with the pymrio analysis tool to determine the geographical location of the consumption-based biodiversity impacts. The mid-point impact factors from EXIOBASE are based on 2019 data, but the regional analysis with pymrio is based on 2011 data. EXIOBASE version 3.8.2 was used and LC-IMPACT version 1.3. The data is currently non peer-reviewed and under submission. The database will be open access after publication. The preprint of the manuscript can be found from: https://doi.org/10.48550/arXiv.2309.14186
About the units
The unit used in the database is the biodiversity equivalent (BDe). The biodversity equivalent, as we call it, is more commonly known as the global potentially disappeared fraction of species (global PDF, Verones et al., 2020). Thus, the monetary biodiversity impact factors are presented in the form BDe/€.
Prices are in basic prices and the conversion factors to transform purchaser prices (e.g. financial accounting prices) to basic prices are provided for Finland (and later for all regions), based on EXIOBASE supply and use tables (SUT).
Content of files
BiodiversityFootprintDatabase.xlsx
The biodiversity impact factors, regional abbreviations and basic price conversion factors for Finland.
BiodiversityFootprintDatabase_DetailedData.zip
The detailed data used to combine EXIOBASE and LC-IMPACT data after the EXIOBASE data was analyzed with the pymrio tool. Contains folders for each driver of biodiversity loss according to the LC-IMPACT classification.
20220406_Exio3stressorcode _2011.py & 20220406_Exio3StressorAggregationCode_2011.py
The pymrio codes that were used to analyze EXIOBASE and the geographical location of the drivers of biodiversity loss (mid-point indicators).
创建时间：
2024-02-16
