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Ariel Ortiz-Bobea

Biographic Data

ID6821924
NAMEAriel Ortiz-Bobea
GIVEN NAMESAriel
FAMILY NAMEOrtiz-Bobea
SIGNATUREORTIZ-BOBEA A
AFFILIATIONSCornell University
ORCID0000-0003-4482-6843
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Harnessing satellite data for the next generation of agri-environmental policies

    Open Access•David Wuepper, Jan Dirk Wegner et al.•ARTICLE•Environmental Research Letters•2025

  • A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)

    Open Access•Oz Kira, Jiaming Wen et al.•ARTICLE•Environmental Research Letters•2024

    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

    Open Access•Ariel Ortiz-Bobea, Haoying Wang et al.•ARTICLE•Environmental Research Letters•2019

    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

    Open Access•Ariel Ortiz-Bobea, Jesse Tack•ARTICLE•Environmental Research Letters•2018

    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

    Open Access•Matthew Gammans, Pierre Mérel et al.•ARTICLE•Environmental Research Letters•2017

    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

    Open Access•Jon Strand, Richard T Carson et al.•ARTICLE•Ecological Economics•2017

No prominent works on this page.

  • Negative impacts of climate change on cereal yields

    Open Access•Matthew Gammans, Pierre Mérel et al.•ARTICLE•Environmental Research Letters•2017

    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

    Open Access•Jon Strand, Richard T Carson et al.•ARTICLE•Ecological Economics•2017

  • Is another genetic revolution needed to offset climate change impacts for US maize yields

    Open Access•Ariel Ortiz-Bobea, Jesse Tack•ARTICLE•Environmental Research Letters•2018

    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

    Open Access•Ariel Ortiz-Bobea, Haoying Wang et al.•ARTICLE•Environmental Research Letters•2019

    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)

    Open Access•Oz Kira, Jiaming Wen et al.•ARTICLE•Environmental Research Letters•2024

    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

    Open Access•David Wuepper, Jan Dirk Wegner et al.•ARTICLE•Environmental Research Letters•2025

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)

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