Ariel Ortiz-Bobea
Biographic Data
| ID | 6821924 |
|---|---|
| NAME | Ariel Ortiz-Bobea |
| GIVEN NAMES | Ariel |
| FAMILY NAME | Ortiz-Bobea |
| SIGNATURE | ORTIZ-BOBEA A |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0003-4482-6843 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Harnessing satellite data for the next generation of agri-environmental policies
A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
Projected increases in food demand driven by population growth coupled with heightened agricultural vulnerability to climate change jointly pose severe threats to global food security in the coming decades, especially for developing nations. By providing real-time and low-cost observations, satellite remote sensing has been widely employed to estimate crop yield across various scales. Most such efforts are based on statistical approaches that req…
Unpacking the climatic drivers of US agricultural yields
Understanding the climatic drivers of present-day agricultural yields is critical for prioritizing adaptation strategies to climate change. However, unpacking the contribution of different environmental stressors remains elusive in large-scale observational settings in part because of the lack of an extensive long-term network of soil moisture measurements and the common seasonal concurrence of droughts and heat waves. In this study, we link stat…
Is another genetic revolution needed to offset climate change impacts for US maize yields
Predictions of future food supply under climate change rely on projected crop yield trends, which are typically based upon retrospective empirical analyses of historical yield gains. However, the estimation of these trends is difficult given the evolving impact of agricultural technologies and confounding influences such as weather. Here, we evaluate the effect of climate change on United States (US) maize yields in light of the productivity gain…
Negative impacts of climate change on cereal yields
In several world regions, climate change is predicted to negatively affect crop productivity. The recent statistical yield literature emphasizes the importance of flexibly accounting for the distribution of growing-season temperature to better represent the effects of warming on crop yields. We estimate a flexible statistical yield model using a long panel from France to investigate the impacts of temperature and precipitation changes on wheat an…
Using the Delphi method to value protection of the Amazon rainforest
No prominent works on this page.
Negative impacts of climate change on cereal yields
In several world regions, climate change is predicted to negatively affect crop productivity. The recent statistical yield literature emphasizes the importance of flexibly accounting for the distribution of growing-season temperature to better represent the effects of warming on crop yields. We estimate a flexible statistical yield model using a long panel from France to investigate the impacts of temperature and precipitation changes on wheat an…
Using the Delphi method to value protection of the Amazon rainforest
Is another genetic revolution needed to offset climate change impacts for US maize yields
Predictions of future food supply under climate change rely on projected crop yield trends, which are typically based upon retrospective empirical analyses of historical yield gains. However, the estimation of these trends is difficult given the evolving impact of agricultural technologies and confounding influences such as weather. Here, we evaluate the effect of climate change on United States (US) maize yields in light of the productivity gain…
Unpacking the climatic drivers of US agricultural yields
Understanding the climatic drivers of present-day agricultural yields is critical for prioritizing adaptation strategies to climate change. However, unpacking the contribution of different environmental stressors remains elusive in large-scale observational settings in part because of the lack of an extensive long-term network of soil moisture measurements and the common seasonal concurrence of droughts and heat waves. In this study, we link stat…
A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
Projected increases in food demand driven by population growth coupled with heightened agricultural vulnerability to climate change jointly pose severe threats to global food security in the coming decades, especially for developing nations. By providing real-time and low-cost observations, satellite remote sensing has been widely employed to estimate crop yield across various scales. Most such efforts are based on statistical approaches that req…
Harnessing satellite data for the next generation of agri-environmental policies
Climate change impacts on agriculture (5 works) · Ecology (5 works) · Environmental Science (4 works) · Geography (4 works) · Yield (engineering (4 works) · Agriculture (3 works) · Agronomy (3 works) · Biology (3 works) · Climate change (3 works) · Crop yield (3 works)