AmeriFlux US-ABe Archbold Ungrazed Wetland

DOE Lawrence Berkeley National Laboratory (LBNL) Repository · 2026-03-16

This is the AmeriFlux version of the carbon flux data for the site US-ABe Archbold Ungrazed Wetland. Site Description - The studied wetland is embedded within an intensively managed pasture, a common landscape in Florida, with the C4 bahiagrass (Paspalum notatum Flueggé) as forage grass. The wetland is an isolated, seasonal freshwater wetland. Soil was Samsula muck of Samsula Series (hyperthermic Terric Haplosaprists)

AmeriFlux FLUXNET-1F US-UiE University of Illinois Sorghum-Soy

DOE Lawrence Berkeley National Laboratory (LBNL) Repository · 2026-04-04

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-UiE University of Illinois Sorghum-Soy. This is the FLUXNET version of the carbon flux data for the site US-UiE University of Illinois Sorghum-Soy produced by applying the standard ONEFlux (1F) software. Site Description - Agricultural field planted with photoperiod-sensitive ("energy") sorghum bicolor in a three year rotation with soy (sorghum-sorghum-soy). The first soy rotation was in 2019. This field is typically planted in May and harvested for biomass (sorghum) or grain (soy) in October. This site is located at an experimental farm approximately 2 miles south of the University of Illinois at Urbana Champaign and is colocated with (500-1000m distance) all other Us-Ui sites.

AmeriFlux FLUXNET-1F US-UiC University of Illinois Maize-Soy

DOE Lawrence Berkeley National Laboratory (LBNL) Repository · 2026-04-04

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-UiC University of Illinois Maize-Soy. This is the FLUXNET version of the carbon flux data for the site US-UiC University of Illinois Maize-Soy produced by applying the standard ONEFlux (1F) software. Site Description - Agricultural field planted with maize in a three year rotation with soy (maize-maize-soy). The first soy rotation year was 2010. This field is typically planted in May and harvested in October. This site is located at an experimental farm approximately 2 miles south of the University of Illinois at Urbana Champaign and is colocated with (500-1000m distance) all other Us-Ui sites.

Cultivar evolution underpins maize yield sensitivity to adverse climate conditions

Nature Communications · 2026-03-27

Cultivar evolution through plant breeding is a cornerstone of contemporary food security, but the extent to which genetic adaptation to climatic variability and shocks contributes to yield gains is not well known. Here, we compile 48,797 cultivar-site-year observations from 2001 to 2020, covering the four prominent maize production regions in China with differing shifts in climatic conditions. The data shows that cultivar evolution underlies long-term yield gains, with productivity increasing by 0.3–2.8 Mg ha-1 per decade. Yields in Northeast China (NEC) and North China (NC) are most vulnerable to heat stress during July and August, whereas high or insufficient precipitation during the growing season is a foremost constraint to yield gains in Southwest China (SWC) and Northwest China (NWC), respectively. Cultivar evolution has significant impacts on yield sensitivity to climate, with genotypic sensitivities to heat stress amplifying in NEC and diminishing over time in NC, respectively. In contrast, yield sensitivity to precipitation increases in SWC and NWC as a result of breeding. These results underscore the importance of breeding climate-resilient cultivars that account for contextualised in situ environmental constraints and climatic adversities in obtaining high yield. Maize cultivar evolution boosts maize yield, yet the response pattern of maize to extreme climates is unclear. This study clarifies the synergy and trade-off mechanisms underlying the increase of yield per unit area and adaptation to extreme climates.

AmeriFlux FLUXNET-1F US-UiB University of Illinois Miscanthus

DOE Lawrence Berkeley National Laboratory (LBNL) Repository · 2026-04-04

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-UiB University of Illinois Miscanthus. This is the FLUXNET version of the carbon flux data for the site US-UiB University of Illinois Miscanthus produced by applying the standard ONEFlux (1F) software. Site Description - Diammonium phosphate, potash & lime fertilizer applied before planting in 2008. Prowl & 2,4-D herbicide used. 2,4-D & accent herbicide applied in 2009. No fertilizer applied. Bicep herbicide applied in 2010 & 2011. 56 kg/ha nitrogen applied in 2014, 2015 & 2016. 45 kg/ha nitrogen applied in 2017.

AmeriFlux FLUXNET-1F US-UiD University of Illinois Restored Native Prairie

DOE Lawrence Berkeley National Laboratory (LBNL) Repository · 2026-04-04

This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-UiD University of Illinois Restored Native Prairie. This is the FLUXNET version of the carbon flux data for the site US-UiD University of Illinois Restored Native Prairie produced by applying the standard ONEFlux (1F) software. Site Description - Site harvested annually with a mower during winters starting 2009. No fertilizer was applied, and not irrigated. Measurements were paused on March 23, 2016 and resumed in June 2024.

N ₂ Onet: a global collaborative network facilitating advances in measurement, modeling, and mitigation of agricultural soil nitrous oxide emissions

Environmental Research Letters · 2026-02-10 · 1 citations

Abstract Nitrogen (N) fertilizer supports global food production, but its use and overuse drive emissions of nitrous oxide (N 2 O), a potent and long-lived greenhouse gas. Understanding the drivers of N 2 O fluxes remains elusive, making it difficult to predict emissions in time and space and to develop and evaluate ways to lower emissions through management. Major scientific uncertainties underlying the understanding of the drivers of N 2 O fluxes identified in a workshop of N 2 O emissions experts include poor process-based understanding of controls on soil N 2 O emissions in the field; insufficient data to reduce uncertainty in N 2 O budgets from the field to regional scales, including N 2 O emission measurements and importantly, field-scale N balances; and high uncertainty in model predictions of soil N 2 O emissions across environmental and management conditions. To reduce these uncertainties, we present the concept of N 2 Onet, a global collaborative initiative to accelerate advances in N 2 O measurement, analyses, and mitigation. N 2 Onet will serve as an observational network of supersites with multi-scale measurements; a database hub for N 2 O flux and ancillary data; and a catalyst for community building, information sharing, and training. By coalescing and coordinating the global community of researchers, N 2 Onet will provide a roadmap for reducing N 2 O emissions from agriculture worldwide.

Climate-driven divergence in biophysical and economic impacts of agrivoltaics

Proceedings of the National Academy of Sciences · 2026-03-02 · 1 citations

Increasing global demands for food and energy necessitate innovative land-use solutions. Agrivoltaics, colocating solar photovoltaics with agriculture, shows promise, but its widespread adoption faces complex biophysical and economic trade-offs in a changing climate. Here, we develop an integrated biophysical-economic modeling framework to quantify how agrivoltaics affect biophysical and economic impacts across the Midwestern United States under both current and project climate conditions. We find strong regional divergences driven by climate gradients. In the humid eastern Midwest, solar panel shading limits photosynthesis, leading to reduced yields (maize -24%; soybean -16%) and lower farmers' profitability (maize -16%; soybean -2%) compared to conventional agriculture. Conversely, in the semiarid western region, shading alleviates heat and water stress, moderating yield reductions for maize (-12%) and even boosting soybean yields (+6%), resulting in improved economic returns (-6% for maize; +9% for soybean), for a scenario with 33% photovoltaic ground coverage ratio. Although agrivoltaics generate substantial electrical energy across all regions, high upfront installation costs challenge solar developers compared to standalone solar photovoltaics. However, our analysis identifies "win-win" opportunities where soybean-based agrivoltaics in the semiarid region produce economic benefits for both farmers and solar developers, highlighting the necessity for region-specific designs tailored to local climate conditions. Critically, future climate projections indicate eastward expansion of semiarid conditions, broadening areas where agrivoltaics can mitigate crop yield penalties (even boosting yield) and improve overall profitability, especially under high-emission scenarios. The results provide a mechanistic and economically integrated understanding essential for developing evidence-based and region-specific strategies to scale agrivoltaics in a changing climate.

Assessing the Impact of Agrivoltaics on Water, Energy, and Carbon Cycles Using the Community Land Model Version 5

Journal of Advances in Modeling Earth Systems · 2026-01-29 · 4 citations

Abstract Agrivoltaics, combining agriculture with photovoltaic systems, offers a promising solution to address land‐use conflict between food and energy production. However, the complexities of agrivoltaics and its effects on the water‐energy‐carbon interactions remain poorly understood. In this study, we developed a process‐based agrivoltaic model within the Community Land model 5 to assess the impacts of agrivoltaics on water, energy, and carbon cycles. The model was validated using data from agrivoltaic sites in Illinois and Colorado, generally capturing spatiotemporal variations in light conditions, soil moisture, and biomass carbon. Simulation results suggest that agrivoltaics significantly impact water, energy, and carbon budgets at the patch and system levels for maize and soybean in Illinois and grass in Colorado (2000–2014). Our findings show that the impacts of agrivoltaics vary by climate conditions and plant types. In dry climates, rainfall redistribution and shading from agrivoltaics conserve soil moisture and enhance evapotranspiration, promoting greater carbon assimilation and soil carbon storage for C 3 grass. Conversely, in wetter regions, reduced solar radiation from shading becomes the dominant factor, lowering carbon assimilation and sequestration for maize and soybean. These results suggest that agrivoltaics can help mitigate drought impacts in arid environments. Our analysis of land equivalent ratios across different photovoltaic ground coverage ratios (PV GCR) shows that a medium PV GCR (60%) under “AgPV” deployment, where PV and plants share the same land, maximizes land‐use efficiency at the study sites. Our modeling study supports informed decision‐making to promote sustainable management of water, energy, and food resources amid environmental change.

High‐Throughput Screen of <scp>NPQ</scp> in Sorghum Shows Highly Polygenic Architecture of Photoprotection

Plant-Environment Interactions · 2026-01-11

(sorghum) is one of the world's most widely grown crops, yet the genetic basis of photoprotection in sorghum is not well understood. This study examined genetic variation in non-photochemical quenching traits by screening a field-grown panel of 861 genetically diverse natural sorghum accessions across 2 years. Broad-sense heritability ranged between 0.3 and 0.65 across different chlorophyll fluorescence parameters. A combination of genome- and transcriptome-wide (GWAS and TWAS) identification of genetic correlates with the observed trait variation uncovered a complex genetic architecture of many significant small-effect loci. An ensemble approach based on GWAS and TWAS results and the covariance between different fluorescence parameters was used to identify 110 unique candidate genes. The resulting high-confidence candidates reveal novel genetic associations with photoprotection and offer resources for further genetic studies and crop genomic improvement efforts.