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Characterization factor estimation based on a species-specific extinction risk approach for determining CO2 emission impact on terrestrial biodiversity

Authors :
Longlong Tang
Haruka Ohashi
Tetsuya Matsui
Akiko Hirata
Nobuyuki Tanaka
Norihiro Itsubo
Source :
Ecological Indicators, Vol 154, Iss , Pp 110556- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Species extinction risk is a crucial indicator of the global impact of climate change on biodiversity. In life cycle impact assessment (LCIA), the relationship between the potentially extinct ratio and temperature is used to calculate characterization factors (CFs) that indicate additional biodiversity impact per unit greenhouse gas emissions, using the biodiversity loss indicator termed potentially disappeared fraction (PDF). However, current methods for calculating CFs that focus on terrestrial biodiversity do not show differences among taxa and regions. Here, we estimated taxon-level CFs based on a species-specific extinction risk approach for determining impact of CO2 emission on terrestrial biodiversity. The extinction risk of a species is defined as the reciprocal of the estimated waiting times for extinction caused by climate-derived habitat loss of the species. Based on the approach, CFs for five taxa—birds, reptiles, mammals, amphibians, vascular plants—were estimated as 0.017, 0.017, 0.025, 0.027, and 0.040 (PDF·km2·year·kton−1), respectively. In addition, CFs that use the number of potentially extinct species (species·kton−1) as indicators were also calculated based on the same species-specific extinction risk approach. The proposed method successfully calculates taxon-level CFs and has the potential to show their regional variations, which contributes to the precise impact assessment on climate-derived biodiversity in LCIA.

Details

Language :
English
ISSN :
1470160X
Volume :
154
Issue :
110556-
Database :
Directory of Open Access Journals
Journal :
Ecological Indicators
Publication Type :
Academic Journal
Accession number :
edsdoj.33d26a0c54ce4b4f8597e0f0cd1f7b07
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ecolind.2023.110556