What do we know about the future of agrobiodiversity in relation to food systems?
Key messages - Agrobiodiversity (or agricultural biodiversity) refers to the diversity of living organisms (plants, animals, bacteria, etc.) that underpin agricultural systems (Wood & Lenne’, 1999). It provides numerous critical benefits, from on-farm crop diversity and genetic resources that allow...
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| Formato: | Blog Post |
| Lenguaje: | Inglés |
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CGIAR System Organization
2022
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| Acceso en línea: | https://hdl.handle.net/10568/127094 |
| _version_ | 1855527122935742464 |
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| author | Cenacchi, Nicola Gotor, Elisabetta Petsakos, Athanasios Schiek, Benjamin |
| author_browse | Cenacchi, Nicola Gotor, Elisabetta Petsakos, Athanasios Schiek, Benjamin |
| author_facet | Cenacchi, Nicola Gotor, Elisabetta Petsakos, Athanasios Schiek, Benjamin |
| author_sort | Cenacchi, Nicola |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Key messages
- Agrobiodiversity (or agricultural biodiversity) refers to the diversity of living organisms (plants, animals, bacteria, etc.) that underpin agricultural systems (Wood & Lenne’, 1999). It provides numerous critical benefits, from on-farm crop diversity and genetic resources that allow farmers to adapt crops to changing environments (Fowler & Hodgkin, 2004), to the provision of ecosystem services such as pollination, disease and pest resistance, soil health, and water conservation (Hajjar et al., 2008). These benefits in turn support resilient livelihoods, food security (Waha et al., 2022), and diversified, nutritious diets (Love & Spaner, 2007).
- A number of ex ante theoretical and practical approaches have been used to show how greater agricultural biodiversity is connected to higher production and lower risk exposure, and assess the role that agrobiodiversity plays in supporting resilience of agricultural systems (Di Falco, 2012; Di Falco & Chavas, 2009). But little has been done to integrate the measurement of agrobiodiversity per se into foresight modeling, or to apply foresight tools and methods to study long-term effects of agrobiodiversity on a range of socioeconomic or environmental outcomes.
- The recent development of the Agrobiodiversity Index and advances in integrated modeling systems provide opportunities for improved scenario analysis focused on agrobiodiversity and informed by agroecology and agricultural economics theory. |
| format | Blog Post |
| id | CGSpace127094 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | CGIAR System Organization |
| publisherStr | CGIAR System Organization |
| record_format | dspace |
| spelling | CGSpace1270942025-03-13T19:11:48Z What do we know about the future of agrobiodiversity in relation to food systems? Cenacchi, Nicola Gotor, Elisabetta Petsakos, Athanasios Schiek, Benjamin agrobiodiversity biodiversity agriculture crops pollination diseases pest resistance soil quality water conservation production modeling environment Key messages - Agrobiodiversity (or agricultural biodiversity) refers to the diversity of living organisms (plants, animals, bacteria, etc.) that underpin agricultural systems (Wood & Lenne’, 1999). It provides numerous critical benefits, from on-farm crop diversity and genetic resources that allow farmers to adapt crops to changing environments (Fowler & Hodgkin, 2004), to the provision of ecosystem services such as pollination, disease and pest resistance, soil health, and water conservation (Hajjar et al., 2008). These benefits in turn support resilient livelihoods, food security (Waha et al., 2022), and diversified, nutritious diets (Love & Spaner, 2007). - A number of ex ante theoretical and practical approaches have been used to show how greater agricultural biodiversity is connected to higher production and lower risk exposure, and assess the role that agrobiodiversity plays in supporting resilience of agricultural systems (Di Falco, 2012; Di Falco & Chavas, 2009). But little has been done to integrate the measurement of agrobiodiversity per se into foresight modeling, or to apply foresight tools and methods to study long-term effects of agrobiodiversity on a range of socioeconomic or environmental outcomes. - The recent development of the Agrobiodiversity Index and advances in integrated modeling systems provide opportunities for improved scenario analysis focused on agrobiodiversity and informed by agroecology and agricultural economics theory. 2022-12-15 2023-01-13T21:07:48Z 2023-01-13T21:07:48Z Blog Post https://hdl.handle.net/10568/127094 en Open Access CGIAR System Organization Cenacchi, Nicola; Gotor, Elisabetta; Petsakos, Athanasios; and Schiek, Benjamin. 2022. What do we know about the future of agrobiodiversity in relation to food systems? CGIAR Initiative on Foresight blog post. CGIAR. https://www.cgiar.org/news-events/news/what-do-we-know-about-the-future-of-agrobiodiversity-in-relation-to-food-systems/ |
| spellingShingle | agrobiodiversity biodiversity agriculture crops pollination diseases pest resistance soil quality water conservation production modeling environment Cenacchi, Nicola Gotor, Elisabetta Petsakos, Athanasios Schiek, Benjamin What do we know about the future of agrobiodiversity in relation to food systems? |
| title | What do we know about the future of agrobiodiversity in relation to food systems? |
| title_full | What do we know about the future of agrobiodiversity in relation to food systems? |
| title_fullStr | What do we know about the future of agrobiodiversity in relation to food systems? |
| title_full_unstemmed | What do we know about the future of agrobiodiversity in relation to food systems? |
| title_short | What do we know about the future of agrobiodiversity in relation to food systems? |
| title_sort | what do we know about the future of agrobiodiversity in relation to food systems |
| topic | agrobiodiversity biodiversity agriculture crops pollination diseases pest resistance soil quality water conservation production modeling environment |
| url | https://hdl.handle.net/10568/127094 |
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