Publications by authors named "Andy Suyker"
Irrigation water requirements are commonly estimated based on the estimated crop evapotranspiration (ET) as determined by the reference evapotranspiration (ETr) and crop coefficient (K). Recent studies show that, at high evaporative demand (high ETr), K tends to decrease, creating an inverse ETr-K relationship. The focus of this long-term study is to, if at high atmosphere demand, there is the same inverse ETr-K relationship in Nebraska, USA, one of the most intensely irrigated regions in the world, and as a result, propose an adjustment to the Kc-ETr approach.
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- - The study examines the link between collared leaf number and growing degree days (GDD) to improve predictions of maize growth by evaluating two model types (linear and bilinear) and estimating phyllochron values for modern maize hybrids.
- - Researchers analyzed datasets from various locations and years in the U.S. Corn Belt, finding that the bilinear model better represented the relationship, with average phyllochron values of 57.9°C-day for the first phase and 30.9°C-day for the second phase.
- - Results indicated that environmental factors like radiation and photoperiod positively influenced phyllochron values and leaf numbers, suggesting these insights could enhance crop modeling accuracy for maize.
Article Synopsis
- - The FLUXNET2015 dataset encompasses ecosystem-scale data on carbon dioxide, water, and energy exchange, collected from 212 global sites contributing over 1500 site-years of data until 2014.
- - The dataset was systematically quality controlled and processed, facilitating consistency for various applications in ecophysiology, remote sensing, and ecosystem modeling.
- - For the first time, derived data products such as time series, ecosystem respiration, and photosynthesis estimates are included, and 206 sites are made accessible under a Creative Commons license, with the processing methods available as open-source codes.