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Paying the price for the meat we eat

Authors: Anouschka R. Hof; Anouschka R. Hof; Andrew M. Allen;

Paying the price for the meat we eat

Abstract

An increasingly gloomy picture is painted by research focusing on the environmental challenges faced by our planet. Biodiversity loss is ongoing, landscapes continue to transform, and predictions on the effects of climate change worsen. Calls have been made for urgent action to avoid pushing our planet into a new system state. One of the principal threats to biodiversity is intensive agriculture, and in particular the livestock industry, which is an important driver of greenhouse gas emissions, habitat degradation and habitat loss. Ongoing intensification of agricultural practices mean that farmland no longer provides a habitat for many species. We suggest the use of a growing policy tool, biodiversity offsetting, to tackle these challenges. Biodiversity offsetting, or ecological compensation, assesses the impacts of new development projects and seeks to avoid, minimise and otherwise compensate for the ecological impacts of these development projects. By applying biodiversity offsetting to agriculture, the impacts of progressively intensifying farming practices can be compensated to achieve conservation outcomes by using tools like environmental taxes or agri-environment schemes. Low intensity, traditional, farming systems provide a number of benefits to biodiversity and society, and we suggest that the consumer and the agriculture industry compensate for the devastating ecological impacts of intensive farming so that we can once again preserve biodiversity in our landscapes and attempt to limit global temperature rise below 2°c.

Country
Netherlands
Keywords

Animal Ecology and Physiology, Ecological compensation, Intensive agriculture, Biodiversity offsetting, Climate change, Meat consumption

  • 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).
    40
    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!
40
Top 10%
Top 10%
Top 10%
Green
hybrid