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Open AccessJournal ArticleDOI

Land Use in Life Cycle Assessment: Global Characterization Factors Based on Regional and Global Potential Species Extinction

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TLDR
The impacts of land use on biodiversity varied strongly across ecoregions, showing the highest values in regions where most natural habitat had been converted in the past, and how it can be applied to prospective assessments using scenarios of future land use.
Abstract
Land use is one of the main drivers of biodiversity loss. However, many life cycle assessment studies do not yet assess this effect because of the lack of reliable and operational methods. Here, we present an approach to modeling the impacts of regional land use on plants, mammals, birds, amphibians, and reptiles. Our global analysis calculates the total potential damage caused by all land uses within each WWF ecoregion and allocates this total damage to different types of land use per ecoregion. We use an adapted (matrix-calibrated) species-area relationship to model the potential regional extinction of nonendemic species caused by reversible land use and land use change impacts. The potential global extinction of endemic species is used to assess irreversible, permanent impacts. Model uncertainty is assessed using Monte Carlo simulations. The impacts of land use on biodiversity varied strongly across ecoregions, showing the highest values in regions where most natural habitat had been converted in the past. The approach is thus retrospective and was able to highlight the impacts in highly disturbed regions. However, we also illustrate how it can be applied to prospective assessments using scenarios of future land use. Uncertainties, modeling choices, and validity are discussed.

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Citations
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Journal ArticleDOI

Emerging approaches, challenges and opportunities in life cycle assessment

TL;DR: Life Cycle Assessment constitutes a viable screening tool that can pinpoint environmental hotspots in complex value chains, but it is cautioned that completeness in scope comes at the price of simplifications and uncertainties.
Journal ArticleDOI

Quantifying Land Use Impacts on Biodiversity: Combining Species–Area Models and Vulnerability Indicators

TL;DR: This work uses the Countryside species-area relationship (SAR) to quantify regional species loss due to land occupation and transformation for five taxa and six land use types in 804 terrestrial ecoregions and shows that the regions with highest biodiversity impacts differed markedly when the vulnerability of species was included.
Journal ArticleDOI

Life cycle assessment of wastewater treatment in developing countries: A review.

TL;DR: The estimation of more site-specific databases, characterization factors, or normalization and weighting values combined with more affordable access to background databases and LCA software, would deeply increase the accuracy of WWT-related LCAs in developing countries.
Book ChapterDOI

Life Cycle Impact Assessment

TL;DR: It is suggested that based on the results of the LCI assessment, the next steps in the design of LCI methodology should be focused on improving the quality of the analysis and reducing the number of errors.
References
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Journal ArticleDOI

Biodiversity hotspots for conservation priorities

TL;DR: A ‘silver bullet’ strategy on the part of conservation planners, focusing on ‘biodiversity hotspots’ where exceptional concentrations of endemic species are undergoing exceptional loss of habitat, is proposed.
Journal ArticleDOI

Indicators for Monitoring Biodiversity: A Hierarchical Approach

TL;DR: The three primay attributes of biodiversity recognized by Jerry Franklin are expanded into a nested hierarcby that incorporates ele- ments of each attribute at four levels of organization: re- gional landscape, community-ecosystem, population- species, andgenetic.
Journal ArticleDOI

Habitat destruction and the extinction debt

TL;DR: A model is described that explains multispecies coexistence in patchy habitats and which predicts that their abundance may be fleeting, a future ecological cost of current habitat destruction.
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