Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes
Food systems face dire challenges, including climate change, biodiversity loss, and resource overuse. To ensure their long-term sustainability and resilience they need urgent transformation, while continuing to support livelihoods and address rising food insecurity. The design and management of mult...
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| Format: | Artículo preliminar |
| Language: | Inglés |
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International Food Policy Research Institute
2025
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| Online Access: | https://hdl.handle.net/10568/175363 |
| _version_ | 1855522815494586368 |
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| author | Cenacchi, Nicola Petsakos, Athanasios Robertson, Richard D. Song, Chun Mishra, Abhijeet |
| author_browse | Cenacchi, Nicola Mishra, Abhijeet Petsakos, Athanasios Robertson, Richard D. Song, Chun |
| author_facet | Cenacchi, Nicola Petsakos, Athanasios Robertson, Richard D. Song, Chun Mishra, Abhijeet |
| author_sort | Cenacchi, Nicola |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Food systems face dire challenges, including climate change, biodiversity loss, and resource overuse. To ensure their long-term sustainability and resilience they need urgent transformation, while continuing to support livelihoods and address rising food insecurity. The design and management of multifunctional agricultural landscapes offer a pathway to address these challenges; and improved understanding of landscape complexity, including a diverse mix of natural and cropland covers, can help advance achievement of multiple food system goals. As land managers and decision makers plan for the future of our landscapes, they need to recognize that powerful forces outside their control will have a strong influence on the final outcome. This study explores the interplay between global drivers—such as population growth, economic trends, climate change—and landscape complexity, using a modeling system linking a global agricultural economic model to a land-use model. Global trends are described, and Kenya serves as a case study, representing broader local dynamics. Results indicate that the majority of agricultural landscapes, globally and in Kenya, are projected to experience increased complexity by 2050, primarily through cropland expansion at the expense of natural habitats. However, there are a few instances where an expansion in cropland may be liked to a decrease in landscape complexity. Patterns also vary under alternative scenarios of agricultural development. Where greater complexity is achieved through policies that further concentrate agricultural land in some areas, this is mainly associated with net gains in natural habitats and a contraction of cropland. Overall, this preliminary research underscores the need for integrated landscape management and more comprehensive scenarios to inform sustainable land-use planning aligned with global food security and environmental objectives. |
| format | Artículo preliminar |
| id | CGSpace175363 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1753632025-11-06T05:58:17Z Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes Cenacchi, Nicola Petsakos, Athanasios Robertson, Richard D. Song, Chun Mishra, Abhijeet landscape socioeconomics climate change agricultural policies land-use change modelling Food systems face dire challenges, including climate change, biodiversity loss, and resource overuse. To ensure their long-term sustainability and resilience they need urgent transformation, while continuing to support livelihoods and address rising food insecurity. The design and management of multifunctional agricultural landscapes offer a pathway to address these challenges; and improved understanding of landscape complexity, including a diverse mix of natural and cropland covers, can help advance achievement of multiple food system goals. As land managers and decision makers plan for the future of our landscapes, they need to recognize that powerful forces outside their control will have a strong influence on the final outcome. This study explores the interplay between global drivers—such as population growth, economic trends, climate change—and landscape complexity, using a modeling system linking a global agricultural economic model to a land-use model. Global trends are described, and Kenya serves as a case study, representing broader local dynamics. Results indicate that the majority of agricultural landscapes, globally and in Kenya, are projected to experience increased complexity by 2050, primarily through cropland expansion at the expense of natural habitats. However, there are a few instances where an expansion in cropland may be liked to a decrease in landscape complexity. Patterns also vary under alternative scenarios of agricultural development. Where greater complexity is achieved through policies that further concentrate agricultural land in some areas, this is mainly associated with net gains in natural habitats and a contraction of cropland. Overall, this preliminary research underscores the need for integrated landscape management and more comprehensive scenarios to inform sustainable land-use planning aligned with global food security and environmental objectives. 2025-06-27 2025-06-27T20:37:20Z 2025-06-27T20:37:20Z Working Paper https://hdl.handle.net/10568/175363 en Open Access application/pdf International Food Policy Research Institute Cenacchi, Nicola; Petsakos, Athanasios; Robertson, Richard D.; Song, Chun; and Mishra, Abhijeet. 2025. Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes. IFPRI Discussion Paper 2343. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/175363 |
| spellingShingle | landscape socioeconomics climate change agricultural policies land-use change modelling Cenacchi, Nicola Petsakos, Athanasios Robertson, Richard D. Song, Chun Mishra, Abhijeet Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title | Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title_full | Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title_fullStr | Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title_full_unstemmed | Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title_short | Landscape complexity as determined by socioeconomic trends, climate change, and broad agricultural policies: A study on multifunctional landscapes |
| title_sort | landscape complexity as determined by socioeconomic trends climate change and broad agricultural policies a study on multifunctional landscapes |
| topic | landscape socioeconomics climate change agricultural policies land-use change modelling |
| url | https://hdl.handle.net/10568/175363 |
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