Cristin-prosjekt-ID: 531228
Sist endret: 27. september 2017 10:37
Cristin-prosjekt-ID: 531228
Sist endret: 27. september 2017 10:37

Ecosystem footprints: Land Use Impacts and their Socioeconomic Determinants (Footprints 2.0)


Francesca Verones
ved Norges teknisk-naturvitenskapelige universitet

prosjekteier / koordinerende forskningsansvarlig enhet

  • Norges teknisk-naturvitenskapelige universitet


Start: 1. juni 2016 Slutt: 15. september 2019

Beskrivelse Beskrivelse


Ecosystem footprints: Land Use Impacts and their Socioeconomic Determinants (Footprints 2.0)

Populærvitenskapelig sammendrag

Environmental footprints allow consumers, governments and business to
understand the pressure they put on the environment through their supply
chain. Environmental footprints include the calculation of environmental
pressures of, for example, the mines that source the iron ore that is used
to produce steel that ends up in the cars, buildings and computers we purchase. A major development in environmental footprinting in recent years
has been the availability to trace the impacts of goods and services through
trade and across country borders. ?Big data? techniques have been used
to draw together economic and resource use data from many providers
and build up maps of the ?embodied? natural resource flows. These digital
maps trace out connections and flows of resources between consumers and
primary producers through billions of global supply chains.
The goal of this project is to explore how to connect these resource accounts
- as well as the economic models built on top of them - to spatially explicit
environmental data, in particular, remote sensing and satellite-based Earth
observatory data. Satellite observations report in almost real time and with
high spatial accuracy on the health of the environment.
By using high spatial resolution environmental data, we will be able to more
accurately assess impacts not just on resource use, but also on impacts
on different ecosystems, the services they provide and the resilience of the
ecosystems. It will eventually be possible for households, businesses, and
policymakers to see actually where environmental impacts of their decisions
occur. Opportunities thus become available to involve actors all along the
supply chain to participate in remediating our environmental impact. This
way we allow consumers in Norway to link the environmental impact of their
product all the way back to the farmer in Brazil.

Vitenskapelig sammendrag

Historically, land use has been driven by local demand for food and natural
resources. Today, however, globalization means that consumer demand
from around the world drives land use change. Environmental regulation
and policy has focused primarily on reducing the impacts of production
at the point of impact, but ultimately it is consumer demand that drives all
activity. Consumers, and the governments and companies that link them to
primary producers, can be involved in reducing humanity's environmental
footprint and can work toward reducing pressure on biodiversity stemming
from land use change. Footprint accounting links consumers, through global
supply chains, to primary producers. However, current footprint accounts
only provide results based on economic and environmental information at
the national level. There is a need for connecting socioeconomic models to
earth systems models and datasets that provide information at the grid-cell
level. Earth system models and satellite datasets provide consistent global
data across a variety of environmental impact categories including forest
loss, land use change, and biodiversity impacts. The aim of this project is
to link these empirical observations to socio-economic global supply chain
models in order to trace land footprints in ultra-fine detail. As a contribution to
the broader research agenda to comprehensively link earth systems models
and multi-region input-output models (MRIOs), this project will therefore
develop new methods via a series of specific studies that will serve as a
paradigm-shifting starting point for longer-term development in spatially
explicit footprinting.



Francesca Verones

  • Tilknyttet:
    ved Norges teknisk-naturvitenskapelige universitet

Johannes Reinhard Többen

  • Tilknyttet:
    ved Institutt for energi- og prosessteknikk ved Norges teknisk-naturvitenskapelige universitet

Keiichiro Kanemoto

  • Tilknyttet:
    ved Shinshu Daigaku

Daniel Moran

  • Tilknyttet:
    ved Norges teknisk-naturvitenskapelige universitet

Richard Wood

  • Tilknyttet:
    ved Norges teknisk-naturvitenskapelige universitet
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