Koen Hufkens
Biographic Data
| ID | 6822743 |
|---|---|
| NAME | Koen Hufkens |
| GIVEN NAMES | Koen |
| FAMILY NAME | Hufkens |
| SIGNATURE | HUFKENS K |
| AFFILIATIONS | Boston University |
| ORCID | 0000-0002-5070-8109 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
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 …
A tale of two springs: Using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change
By the end of this century, mean annual temperatures in the Northeastern United States are expected to warm by 3–5 °C, which will have significant impacts on the structure and function of temperate forests in this region. To improve understanding of these impacts, we exploited two recent climate anomalies to explore how the springtime phenology of Northeastern temperate deciduous forests will respond to future climate warming. Specifically, sprin…
No prominent works on this page.
A tale of two springs: Using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change
By the end of this century, mean annual temperatures in the Northeastern United States are expected to warm by 3–5 °C, which will have significant impacts on the structure and function of temperate forests in this region. To improve understanding of these impacts, we exploited two recent climate anomalies to explore how the springtime phenology of Northeastern temperate deciduous forests will respond to future climate warming. Specifically, sprin…
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 …
Climate change (2 works) · Climatology (2 works) · Ecology (2 works) · Environmental Science (2 works) · Geography (2 works) · Agriculture (1 works) · Atmospheric sciences (1 works) · Climate change impacts on agriculture (1 works) · Climate model (1 works) · Climate variability and models (1 works)