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Chlorophyll a fluorescence (ChlF) has been used for decades to study the organization, functioning, and physiology of photosynthesis at the leaf and subcellular levels. ChlF is now measurable from remote sensing platforms. This provides a new optical means to track photosynthesis and gross primary productivity of terrestrial ecosystems. Importantly, the spatiotemporal and methodological context of the new applications is dramatically different compared with most of the available ChlF literature, which raises a number of important considerations. Although we have a good mechanistic understanding of the processes that control the ChlF signal over the short term, the seasonal link between ChlF and photosynthesis remains obscure. Additionally, while the current understanding of in vivo ChlF is based on pulse amplitude-modulated (PAM) measurements, remote sensing applications are based on the measurement of the passive solar-induced chlorophyll fluorescence (SIF), which entails important differences and new challenges that remain to be solved. In this review we introduce and revisit the physical, physiological, and methodological factors that control the leaf-level ChlF signal in the context of the new remote sensing applications. Specifically, we present the basis of photosynthetic acclimation and its optical signals, we introduce the physical and physiological basis of ChlF from the molecular to the leaf level and beyond, and we introduce and compare PAM and SIF methodology. Finally, we evaluate and identify the challenges that still remain to be answered in order to consolidate our mechanistic understanding of the remotely sensed SIF signal.
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http://dx.doi.org/10.1093/jxb/eru191 | DOI Listing |
Environ Monit Assess
September 2025
Department of Forestry Engineering, Federal University of Lavras (UFLA), Lavras, Minas Gerais State, Brazil.
In general, species on our planet are adapted to phenological patterns of vegetation, which are strongly influenced by various climatic and environmental factors that, when altered, can threaten biodiversity. Recent studies have utilized the spatiotemporal variability of vegetation to understand its dynamics, directly affecting biodiversity. Therefore, this research aimed to generate indices of temporal variability considering vegetation phenology and indices of spatial variability of vegetation to subsequently identify priority areas for biodiversity conservation in the Cerrado and Caatinga regions in Minas Gerais State, Brazil.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Sleman, Yogyakarta, DIY, 55281, Indonesia.
Understanding seagrass dynamics is crucial for the effective management and conservation of seagrass meadows. However, such information remains limited for many regions worldwide, including Kuta Mandalika on Lombok Island, Indonesia. This rapidly developing coastal area, which is home to both tourism infrastructure and an international race circuit, hosts extensive seagrass meadows whose condition and dynamics require careful assessment.
View Article and Find Full Text PDFNat Plants
September 2025
Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Increasing leaf area and extending vegetation growing seasons are two primary drivers of global greening, which has emerged as one of the most significant responses to climate change. However, it remains unclear how these two leaf acclimation strategies would vary across forests at a large spatial scale. Here, using multiple satellite-based datasets and field measurements, we analysed the temporal changes (Δ) in maximal leaf area index (LAI) and length of the growing season (LOS) from 2002 to 2021 across deciduous broadleaf forests (DBFs) in the middle to high latitudes.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
Division of Sleep Medicine, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States; Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, United States; Department of Medicine, Case Western Reserve University, Clevelan
Obstructive sleep apnea (OSA) is a pervasive disorder characterized by recurrent airway obstructions during sleep. OSA carries serious health risks, such as cardiovascular and cognitive impairments, and imposes a significant economic burden. This chapter provides a comprehensive overview of various biosensors currently employed for OSA detection, including in-lab polysomnography and flow-based home sleep apnea testing.
View Article and Find Full Text PDFPLoS Negl Trop Dis
September 2025
Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Background: Soil-transmitted helminth (STH) infections remain a public health problem in Uganda despite biannual national deworming campaigns implemented since the early 2000s. Recent surveys have indicated a heterogeneous STH infection prevalence, suggesting that the current blanket deworming strategy may no longer be cost-effective. This study identified infection predictors, estimated the geographic distribution of STH infection prevalence by species, and calculated deworming needs for school-age children (SAC).
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