Ben Parkes
Biographic Data
| ID | 7993179 |
|---|---|
| NAME | Ben Parkes |
| GIVEN NAMES | Ben |
| FAMILY NAME | Parkes |
| SIGNATURE | BEN PARKES |
| AFFILIATIONS | University of Manchester |
| ORCID | 0000-0002-5936-8331 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Risk of rice production failure in India under climate change
Rice production failure is a major threat to food security and supply chain resilience across India. In this paper, we examine future rice production failure risks across India by integrating down-scaled climate projections with machine learning models that capture complex crop-climate interactions. First, we identify key drivers of historical crop failures and demonstrate the critical role of monthly weather variability. We then use our historic…
Environmental impacts from large-scale offshore renewable-energy deployment
The urgency to mitigate the effects of climate change necessitates an unprecedented global deployment of offshore renewable-energy technologies mainly including offshore wind, tidal stream, wave energy, and floating solar photovoltaic. To achieve the global energy demand for terawatt-hours, the infrastructure for such technologies will require a large spatial footprint. Accommodating this footprint will require rapid landscape evolution, ideally …
Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change
Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide. Statistical or process-based crop models can be used to quantify how yields will respond to these events and future climate change. However, the accuracy of weather-yield relationships derived from crop models, whether statistical or process-based, is dependent on the quality of the underlying input data used to …
Crop failure rates in a geoengineered climate: Impact of climate change and marine cloud brightening
The impact of geoengineering on crops has to date been studied by examining mean yields. We present the first work focusing on the rate of crop failures under a geoengineered climate. We investigate the impact of a future climate and a potential geoengineering scheme on the number of crop failures in two regions, Northeastern China and West Africa. Climate change associated with a doubling of atmospheric carbon dioxide increases the number of cro…
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Crop failure rates in a geoengineered climate: Impact of climate change and marine cloud brightening
The impact of geoengineering on crops has to date been studied by examining mean yields. We present the first work focusing on the rate of crop failures under a geoengineered climate. We investigate the impact of a future climate and a potential geoengineering scheme on the number of crop failures in two regions, Northeastern China and West Africa. Climate change associated with a doubling of atmospheric carbon dioxide increases the number of cro…
Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change
Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide. Statistical or process-based crop models can be used to quantify how yields will respond to these events and future climate change. However, the accuracy of weather-yield relationships derived from crop models, whether statistical or process-based, is dependent on the quality of the underlying input data used to …
Environmental impacts from large-scale offshore renewable-energy deployment
The urgency to mitigate the effects of climate change necessitates an unprecedented global deployment of offshore renewable-energy technologies mainly including offshore wind, tidal stream, wave energy, and floating solar photovoltaic. To achieve the global energy demand for terawatt-hours, the infrastructure for such technologies will require a large spatial footprint. Accommodating this footprint will require rapid landscape evolution, ideally …
Risk of rice production failure in India under climate change
Rice production failure is a major threat to food security and supply chain resilience across India. In this paper, we examine future rice production failure risks across India by integrating down-scaled climate projections with machine learning models that capture complex crop-climate interactions. First, we identify key drivers of historical crop failures and demonstrate the critical role of monthly weather variability. We then use our historic…
Climate change (4 works) · Environmental Science (4 works) · Ecology (3 works) · Geography (3 works) · Agriculture (2 works) · Climate change impacts on agriculture (2 works) · Climate model (2 works) · Climatology (2 works) · Computer Science (2 works) · Crop yield (2 works)