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In the taiga-tundra ecotone (TTE), site-dependent forest structure characteristics can influence the subtle and heterogeneous structural changes that occur across the broad circumpolar extent. Such changes may be related to ecotone form, described by the horizontal and vertical patterns of forest structure (e.g., tree cover, density and height) within TTE forest patches, driven by local site conditions, and linked to ecotone dynamics. The unique circumstance of subtle, variable and widespread vegetation change warrants the application of spaceborne data including high-resolution (< 5m) spaceborne imagery (HRSI) across broad scales for examining TTE form and predicting dynamics. This study analyzes forest structure at the patch-scale in the TTE to provide a means to examine both vertical and horizontal components of ecotone form. We demonstrate the potential of spaceborne data for integrating forest height and density to assess TTE form at the scale of forest patches across the circumpolar biome by (1) mapping forest patches in study sites along the TTE in northern Siberia with a multi-resolution suite of spaceborne data, and (2) examining the uncertainty of forest patch height from this suite of data across sites of primarily diffuse TTE forms. Results demonstrate the opportunities for improving patch-scale spaceborne estimates of forest height, the vertical component of TTE form, with HRSI. The distribution of relative maximum height uncertainty based on prediction intervals is centered at ~40%, constraining the use of height for discerning differences in forest patches. We discuss this uncertainty in light of a conceptual model of general ecotone forms, and highlight how the uncertainty of spaceborne estimates of height can contribute to the uncertainty in identifying TTE forms. A focus on reducing the uncertainty of height estimates in forest patches may improve depiction of TTE form, which may help explain variable forest responses in the TTE to climate change and the vulnerability of portions of the TTE to forest structure change.
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http://dx.doi.org/10.5194/bg-13-3847-2016 | DOI Listing |
Mar Life Sci Technol
August 2025
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48103 USA.
Unlabelled: Habitat fragmentation is a major cause of biodiversity loss. Fragmentation can alter thermal conditions on the remaining patches, especially at habitat edges, but few studies have examined variations in thermal tolerance of species in fragmented habitats. Ants are sensitive to both habitat fragmentation and temperature changes, and are an ideal taxon for studying these impacts.
View Article and Find Full Text PDFOecologia
September 2025
Grupo de Estudios Biofísicos y Ecofisiológicos (GEBEF), Instituto de Biociencias de La Patagonia (INBIOP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Universidad Nacional de La Patagonia San Juan Bosco (UNPSJB), 9000, Comodoro Rivadavia, Argentina.
Under the scenario of global warming, the response of carbon (C) fluxes of arid and semi-arid ecosystems, is still not well understood. A field warming experiment using open top chambers (OTCs) was conducted in a shrub-grass patagonian steppe to evaluate the effects on bare soil respiration (R), and ecosystem respiration (R), gross primary productivity (GPP) and net C exchange (NEE) during the growing season. Air (T) and soil (T) temperature, and soil available phosphorus changed significantly while there were no changes in soil moisture, soil organic carbon, total soil nitrogen and root biomass, after one-year of treatment.
View Article and Find Full Text PDFRespir Med
September 2025
University of Minnesota, Minneapolis, MN, USA.
Background: Heart rate variability (HRV) is a measure of autonomic function that has been associated with worse lung function and worse respiratory health. Using data from a community-based cohort, we aimed to test if HRV is associated with lung function and self-reported chronic lung disease (CLD).
Methods: The Atherosclerosis Risk in Communities (ARIC) study is a community-based cohort that collected HRV measurements from 14-day continuous ECG patches and self-reported CLD at visit 6 (2016-2017).
Genes Genomics
September 2025
Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Background: Muscle-invasive bladder cancer (MIBC) is a clinically aggressive and heterogeneous disease with variable treatment responses. Transcriptome-based classifications, such as the Chemoresistance-Motility (CrM) signature, are valuable for understanding therapeutic resistance, but their clinical use is often hindered by high cost and tissue requirements. This study explores an alternative, scalable approach using deep learning analysis of whole slide images (WSIs).
View Article and Find Full Text PDFMed Sci Sports Exerc
September 2025
University of South Carolina, Department of Exercise Science, Columbia, SC.
Background: Wearable devices that measure energy expenditure are not designed for children. Therefore, we developed the PATCH (Platform for Accurate Tracking of Children's Health), an open-source device to measure children's energy expenditure using heartrate (HR) and acceleration. This study examines three models to estimate children's oxygen consumption using HR and acceleration compared to a criterion of indirect calorimetry.
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