From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate Crop Productivity

Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations and process‐based modeling, we find highly linear gross primary production (GPP):SIF relationships for C4 crops, while C3 crops show some saturation of GPP at high light when SIF continues to increase. C4 crops yield higher GPP:SIF ratios (30–50%) primarily because SIF is most sensitive to the light reactions (does not account for photorespiration). Scaling to the satellite, we compare SIF from the TROPOspheric Monitoring Instrument (TROPOMI) against tower‐derived GPP and county‐level crop statistics. Temporally, TROPOMI SIF strongly agrees with GPP observations upscaled across a corn and soybean dominated cropland (R² = 0.89). Spatially, county‐level TROPOMI SIF correlates with crop productivity (R² = 0.72; 0.86 when accounting for planted area and C3/C4 contributions), highlighting the potential of SIF for reliable crop monitoring

Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence : Implications for Remote Sensing of Photosynthesis

Novel satellite measurements of solar-induced chlorophyll fluorescence (SIF) can improve our understanding of global photosynthesis; however, little is known about how to interpret the controls on its spectral variability. To address this, we disentangle simultaneous drivers of fluorescence spectra by coupling active and passive fluorescence measurements with photosynthesis. We show empirical and mechanistic evidence for where, why, and to what extent leaf fluorescence spectra change. Three distinct components explain more than 95% of the variance in leaf fluorescence spectra under both steady-state and changing illumination conditions. A single spectral shape of fluorescence explains 84% of the variance across a wide range of species. The magnitude of this shape responds to absorbed light and photosynthetic up/down regulation; meanwhile, chlorophyll concentration and nonphotochemical quenching control 9% and 3% of the remaining spectral variance, respectively. The spectral shape of fluorescence is remarkably stable where most current satellite retrievals occur (far-red, >740nm), and dynamic downregulation of photosynthesis reduces fluorescence magnitude similarly across the 670- to 850-nm range. We conduct an exploratory analysis of hourly red and far-red canopy SIF in soybean, which shows a subtle change in red:far-red fluorescence coincident with photosynthetic downregulation but is overshadowed by longer-term changes in canopy chlorophyll and structure. Based on our leaf and canopy analysis, caution should be taken when attributing large changes in the spectral shape of remotely sensed SIF to plant stress, particularly if data acquisition is temporally sparse. Ultimately, changes in SIF magnitude at wavelengths greater than 740 nm alone may prove sufficient for tracking photosynthetic dynamics. Plain Language Summary Satellite remote sensing provides a global picture of photosynthetic activity-allowing us to see when, where, and how much CO2 plants are assimilating. To do this, satellites measure a small emission of energy from the plants called chlorophyll fluorescence. However, this measurement is typically made across a narrow wavelength range, while the emission spectrum (650-850 nm) is quite dynamic. We show where, why, and to what extent leaf fluorescence spectra change across a diverse range of species and conditions, ultimately informing canopy remote sensing measurements. Results suggest that wavelengths currently used by satellites are stable enough to track the downregulation of photosynthesis resulting from stress, while spectral shape changes respond more strongly to dynamics in canopy structure and chlorophyll concentration.Peer reviewe

The Somatic Genomic Landscape of Glioblastoma

We describe the landscape of somatic genomic alterations based on multi-dimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors including EGFR and PDGFRA. TERT promoter mutations are shown to correlate with elevated mRNA expression, supporting a role in telomerase reactivation. Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM. Integrative analysis of genomic and proteomic profiles challenges the notion of therapeutic inhibition of a pathway as an alternative to inhibition of the target itself. These data will facilitate the discovery of therapeutic and diagnostic target candidates, the validation of research and clinical observations and the generation of unanticipated hypotheses that can advance our molecular understanding of this lethal cancer

Patterns of Compliance and Noncompliance During Probation: Identifying Pathways to Probation Revocation

Prior research has explored factors associated with probation outcomes, but few studies have examined pathways of noncompliance leading to probation failure. We conducted social sequence analysis to identify trajectories of compliance and noncompliance in a sample of 4,389 probationers in Monroe County, Indiana. Our findings showed full compliance was the most common probation trajectory and a single failure to appear (FTA) the most common pattern of noncompliance. In addition to a new offense during probation, repeated patterns of FTA and substance use noncompliance were associated with higher revocation rates. Recurrent patterns of technical violations, particularly for substance use, may function as an important pathway to revocation. Supervision strategies that intervene to address recurrent noncompliance may help agencies reduce revocation rates

Improving Support Of Breastfeeding At A Baby-Friendly™ Designated Hospital In Albuquerque, New Mexico

Purpose: Breastfeeding has conclusively proven to be the healthiest feeding option for infants. Baby-Friendly™designated hospitals and birthing centers follow the Ten Steps to Successful Breastfeeding, which are considered to be the gold standard for supporting mothers who wish to breastfeed. However, even a Baby-Friendly™designated hospital may have room for improvement. The University of New Mexico Hospital (UNMH) is an urban hospital serving a predominantly Hispanic and Native American population, and the majority of pediatric patients are covered by Medicaid. Despite its Baby-Friendly™ designation, UNMH had low rates of physician documentation of discussing the health impacts of breastfeeding in the postpartum setting and discussion of home visitation prior to discharge. We aimed to improve these measures using the Plan-Do-Study-Act (PDSA) model. Methods: We conducted this study from August 2018 to August 2019 in the UNMH Mother Baby Unit. Providers reviewed 61 to 86 charts for each of four medical record reviews (MRR). Based on the results of the first two MRRs, providers decided to focus on increasing home visitation referrals. After the third MRR, providers worked to increase discussion and documentation of the health impacts of breastfeeding. Changes made included creation of a discharge planning checklist, modifying admission and discharge templates, educating attending and resident physicians via emails, meetings, chart reviews, and bulletin boards in the team room, and adding home visitation referral forms to all patient charts. Results: Over the one year study period, rates of discussing home visitation status increased from 49.2% to 89.2%. The rates of discussing health impacts of breastfeeding increased from 31.1% to 86.5%. Conclusions: Implementation of these quality improvement measures resulted in substantial gains in several key breastfeeding metrics, despite having already earned the designation Baby-Friendly.™ All hospitals, including those that are designated Baby-Friendly™, should consider supporting breastfeeding through ongoing quality improvement initiatives

From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate Crop Productivity

Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations and process‐based modeling, we find highly linear gross primary production (GPP):SIF relationships for C4 crops, while C3 crops show some saturation of GPP at high light when SIF continues to increase. C4 crops yield higher GPP:SIF ratios (30–50%) primarily because SIF is most sensitive to the light reactions (does not account for photorespiration). Scaling to the satellite, we compare SIF from the TROPOspheric Monitoring Instrument (TROPOMI) against tower‐derived GPP and county‐level crop statistics. Temporally, TROPOMI SIF strongly agrees with GPP observations upscaled across a corn and soybean dominated cropland (R² = 0.89). Spatially, county‐level TROPOMI SIF correlates with crop productivity (R² = 0.72; 0.86 when accounting for planted area and C3/C4 contributions), highlighting the potential of SIF for reliable crop monitoring