As the lifetime of regional flux networks approach twenty years, there is a growing number of
papers that have published long term records (5 years or more) of net carbon fluxes …

Limited data, and the requirement to provide science-based advice for exploited
populations, have led to the development of statistical methods that combine several …

This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …

AmeriFlux scientists were early adopters of a network-enabled approach to ecosystem
science that continues to transform the study of land-atmosphere interactions. In the 20 …

Spatially explicit information on crop yields is essential for farmers and agricultural agencies
to make well-informed decisions. One approach to estimate crop yield with remote sensing …

Long‐running eddy covariance flux towers provide insights into how the terrestrial carbon
cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem …

The potential for model–data synthesis is growing in importance as we enter an era of 'big
data', greater connectivity and faster computation. Realizing this potential requires that the …

Biogeochemical models have been developed to account for more and more processes,
making their complex structures difficult to be understood and evaluated. Here, we introduce …

Abstract Model–data fusion is a powerful framework by which to combine models with
various data streams (including observations at different spatial or temporal scales), and …

The response of terrestrial carbon uptake to increasing atmospheric [CO 2], that is the CO 2
fertilization effect (CFE), remains a key area of uncertainty in carbon cycle science. Here we …