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Biomass and Bioenergy
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Bridging biofuel sustainability indicators and ecosystem services through stakeholder engagement

Authors: Virginia H. Dale; Keith L. Kline; Tom L. Richard; Douglas L. Karlen; William W. Belden;

Bridging biofuel sustainability indicators and ecosystem services through stakeholder engagement

Abstract

Abstract Continued development of cellulosic-based biofuels is needed to provide renewable energy and strengthen rural investment and development in the United States (US). To ensure biofuel development is sustainable and does not negatively affect ecosystem services, stakeholder input is necessary to identify sensitive and meaningful indicators. A major challenge is that there are substantial differences in terminology, perspectives, and methods used to quantify sustainability and ecosystem services with regard to processes, biodiversity, and socioeconomic effects. Our objectives were to identify relevant indicator categories for both perspectives using a case study from the US state of Iowa. A scientific literature review and engagement with stakeholders were used to identify 11 indicator categories associated with production, harvest, storage, and transport of cellulosic feedstocks. Five categories focus on environmental concerns (soil quality, water quality and quantity, greenhouse gas emissions, biodiversity, and productivity) and six on socioeconomic concerns (social wellbeing, energy security, external trade, profitability, resource conservation, and social acceptability). Although these indicators reflect sustainability concerns of these stakeholders, additional monitoring and stakeholder engagement are needed to support the continual improvement that is part of adaptive management.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
bronze