UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH
The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, the effects of such practices are known to depend on environmental conditions, and are therefore expected to ch...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1379/2023/isprs-archives-XLVIII-1-W2-2023-1379-2023.pdf |
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| author | G. Giannarakis I. Tsoumas I. Tsoumas S. Neophytides C. Papoutsa C. Kontoes D. Hadjimitsis D. Hadjimitsis |
| author_facet | G. Giannarakis I. Tsoumas I. Tsoumas S. Neophytides C. Papoutsa C. Kontoes D. Hadjimitsis D. Hadjimitsis |
| author_sort | G. Giannarakis |
| collection | DOAJ |
| description | The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, the effects of such practices are known to depend on environmental conditions, and are therefore expected to change as a result of a changing climate. We study the impact of crop diversification on productivity in the context of climate change. We leverage heterogeneous Earth Observation data and contribute a data-driven approach based on causal machine learning for understanding how crop diversification impacts may change in the future. We apply this method to the country of Cyprus throughout a 4-year period. We find that, on average, crop diversification significantly benefited the net primary productivity of crops, increasing it by 2.8%. The effect generally synergized well with higher maximum temperatures and lower soil moistures. In a warmer and more drought-prone climate, we conclude that crop diversification exhibits promising adaptation potential and is thus a sensible policy choice with regards to agricultural productivity for present and future. |
| first_indexed | 2024-03-08T23:33:21Z |
| format | Article |
| id | doaj.art-fb1f16035619421eb72ca9344f30d021 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-08T23:33:21Z |
| publishDate | 2023-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-fb1f16035619421eb72ca9344f30d0212023-12-14T09:38:26ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-12-01XLVIII-1-W2-20231379138410.5194/isprs-archives-XLVIII-1-W2-2023-1379-2023UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACHG. Giannarakis0I. Tsoumas1I. Tsoumas2S. Neophytides3C. Papoutsa4C. Kontoes5D. Hadjimitsis6D. Hadjimitsis7BEYOND Centre, IAASARS, National Observatory of Athens, GreeceBEYOND Centre, IAASARS, National Observatory of Athens, GreeceWageningen University & Research, The NetherlandsERATOSTHENES Centre of Excellence, CyprusERATOSTHENES Centre of Excellence, CyprusBEYOND Centre, IAASARS, National Observatory of Athens, GreeceERATOSTHENES Centre of Excellence, CyprusCyprus University of Technology, CyprusThe concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, the effects of such practices are known to depend on environmental conditions, and are therefore expected to change as a result of a changing climate. We study the impact of crop diversification on productivity in the context of climate change. We leverage heterogeneous Earth Observation data and contribute a data-driven approach based on causal machine learning for understanding how crop diversification impacts may change in the future. We apply this method to the country of Cyprus throughout a 4-year period. We find that, on average, crop diversification significantly benefited the net primary productivity of crops, increasing it by 2.8%. The effect generally synergized well with higher maximum temperatures and lower soil moistures. In a warmer and more drought-prone climate, we conclude that crop diversification exhibits promising adaptation potential and is thus a sensible policy choice with regards to agricultural productivity for present and future.https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1379/2023/isprs-archives-XLVIII-1-W2-2023-1379-2023.pdf |
| spellingShingle | G. Giannarakis I. Tsoumas I. Tsoumas S. Neophytides C. Papoutsa C. Kontoes D. Hadjimitsis D. Hadjimitsis UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH |
| title_full | UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH |
| title_fullStr | UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH |
| title_full_unstemmed | UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH |
| title_short | UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH |
| title_sort | understanding the impacts of crop diversification in the context of climate change a machine learning approach |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1379/2023/isprs-archives-XLVIII-1-W2-2023-1379-2023.pdf |
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