Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Social-ecological approaches for assessment of healthy diets from sustainable food systems
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-3090-8840
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Stockholm University, 2019.
Keywords [en]
Food, health, environment, sustainability, diet, agriculture, syndromes, trade
National Category
Food Science
Research subject
Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-176306OAI: oai:DiVA.org:su-176306DiVA, id: diva2:1374121
Presentation
2019-12-12, 09:00 (English)
Opponent
Supervisors
Available from: 2020-03-02 Created: 2019-11-28 Last updated: 2020-03-02Bibliographically approved

Open Access in DiVA

abstract(60 kB)0 downloads
File information
File name SUMMARY01.pdfFile size 60 kBChecksum SHA-512
fce179e2ba641d621b07946e043987aa3ac586e1cf5ba54ee295092b497d33ff3a002dfb45c87652967b8d3950202d2ec5212fdbb5b034bdd8b18db47e46ebf5
Type summaryMimetype application/pdf

Search in DiVA

By author/editor
Voss-Schrader Bignet, Victoria
By organisation
Stockholm Resilience Centre
Food Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf