In recent decades, observations have shown unprecedented increases in temperature, changes in precipitation patterns, and increases in frequency and intensity of extreme weather events, such as days with extreme heat, droughts, floods, and wildfires. Projections from numerous climate models suggest that these extreme weather occurrences are likely to continue to exacerbate in the future. Given the crucial role of climatic factors in management of crops, livestock, land, water and biodiversity, any alternations in climatic conditions can, and will, affect the productivity and sustainability of these systems.
To increase resilience of these systems and minimize climate change-related risks, it is important to recognize that different crops, regions, ecosystems, and communities will experience impacts in different ways. Therefore, developing strategies and measures without considering these specificities may provide ineffective results. Assessing impacts on these systems using downscaled future climate projections can be very useful for planning land use and it can help in selecting sites, varieties, and adjusting crop management to minimize negative impacts of the future climate. Yet another, less explored area is extreme weather events adaptation including using artificial intelligence (AI) tools.
However, despite the existence of climate projection information and improvements in the forecasting of extreme events, there is a gap in systematic evaluations of their potentials and limitations for reducing climate risks in agriculture and natural resources under future climate conditions, with a focus on extreme weather events. Such analysis is very important given that warming and extreme weather events are expected to worsen in the future.
This Research Topic welcomes contributions that
1. Assess the impact of climate change on agriculture and natural resources systems at the local, regional, and global scale.
2. Seek to understand the mechanisms behind such impacts, and devise strategies and plans for mitigating and adapting to these impacts at different spatial levels.
3. Provide reviews on potential applicability and limitations of forecasts of extreme weather events from state-of-the-art approaches, such as dynamical climate models and AI-based methods, to reduce climate-risks in agriculture and natural resources.
Keywords:
climate change, agriculture, natural resources, adaptation, extreme weather events
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
In recent decades, observations have shown unprecedented increases in temperature, changes in precipitation patterns, and increases in frequency and intensity of extreme weather events, such as days with extreme heat, droughts, floods, and wildfires. Projections from numerous climate models suggest that these extreme weather occurrences are likely to continue to exacerbate in the future. Given the crucial role of climatic factors in management of crops, livestock, land, water and biodiversity, any alternations in climatic conditions can, and will, affect the productivity and sustainability of these systems.
To increase resilience of these systems and minimize climate change-related risks, it is important to recognize that different crops, regions, ecosystems, and communities will experience impacts in different ways. Therefore, developing strategies and measures without considering these specificities may provide ineffective results. Assessing impacts on these systems using downscaled future climate projections can be very useful for planning land use and it can help in selecting sites, varieties, and adjusting crop management to minimize negative impacts of the future climate. Yet another, less explored area is extreme weather events adaptation including using artificial intelligence (AI) tools.
However, despite the existence of climate projection information and improvements in the forecasting of extreme events, there is a gap in systematic evaluations of their potentials and limitations for reducing climate risks in agriculture and natural resources under future climate conditions, with a focus on extreme weather events. Such analysis is very important given that warming and extreme weather events are expected to worsen in the future.
This Research Topic welcomes contributions that
1. Assess the impact of climate change on agriculture and natural resources systems at the local, regional, and global scale.
2. Seek to understand the mechanisms behind such impacts, and devise strategies and plans for mitigating and adapting to these impacts at different spatial levels.
3. Provide reviews on potential applicability and limitations of forecasts of extreme weather events from state-of-the-art approaches, such as dynamical climate models and AI-based methods, to reduce climate-risks in agriculture and natural resources.
Keywords:
climate change, agriculture, natural resources, adaptation, extreme weather events
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.