Few old-growth stands remain in the matrix of secondary forests that dominates the eastern North American landscape. These remnant stands offer insight on the potential carbon (C) storage capacity of now-recovering secondary forests. We surveyed the remaining old-growth forests on sites characteristic of the general Mid-Atlantic United States and estimated the size of multiple components of forest C storage. Within and between old-growth stands, variability in C density is high and related to overstory tree species composition. The sites contain 219 ± 46 Mg C/ha (mean ± SD), including live and dead aboveground biomass, leaf litter, and the soil O horizon, with over 20% stored in downed wood and snags. Stands dominated by tulip poplar (Liriodendron tulipifera) store the most live biomass, while the mixed oak (Quercus spp.) stands overall store more dead wood. Total C density is 30% higher (154 Mg C/ha), and dead wood C density is 1800% higher (46 Mg C/ha) in the old-growth forests than in the surrounding younger forests (120 and 5 Mg C/ha, respectively). The high density of dead wood in old growth relative to secondary forests reflects a stark difference in historical land use and, possibly, the legacy of the local disturbance (e.g., disease) history. Our results demonstrate the potential for dead wood to maintain the sink capacity of secondary forests for many decades to come.
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Curr Dev Nutr
October 2024
Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University School of Public Health, Loma Linda, CA, United States.
Background: Avocado intake has been associated with improvements in diet quality. Whether this response is because of avocado intake, , or combined with a food and/or nutrient displacement (D) has yet to be determined.
Objectives: This secondary analysis, conducted using dietary data from the Habitual Diet and Avocado Trial, sought to assess the effect of consuming a large avocado (168 g, 281 kcal) daily in the avocado-supplemented diet (AD) group compared with the habitual diet (HD) group on food and nutrient D.
Front Digit Health
January 2025
Department of Demography & Social Statistics, Federal University, Birnin-Kebbi, Kebbi State, Nigeria.
Background: Fertility preferences refer to the number of children an individual would like to have, regardless of any obstacles that may stand in the way of fulfilling their aspirations. Despite the creation and application of numerous interventions, the overall fertility rate in West African nations, particularly Nigeria, is still high at 5.3% according to 2018 Nigeria Demographic and Health Survey data.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Departamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, MG, 36570-900, Brazil.
The Metropolitan Area of São Paulo (MASP) in southern Brazil is impacted by high ozone levels posing significant threats to its urban forests and the Atlantic Forest remnants. These green areas, covering 540 km and constituting 30% of MASP's territory, necessitate an urgent assessment of air pollution impacts on their flora. Our study investigates the effects of atmospheric pollution on the morphoanatomical and physiological responses of four native tree species (Alchornea sidifolia, Casearia sylvestris, Guarea macrophylla, and Machaerium nyctitans) across two Atlantic Forest remnants in MASP.
View Article and Find Full Text PDFNicotine Tob Res
January 2025
Masonic Cancer Center, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN.
Introduction: Hormonal contraceptives (HCs), which contain synthetic forms of estrogen (i.e., ethinyl estradiol) and/or progesterone (i.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Informatics Science (CIS), School of Information Technology and Computer Science, Nile University, 26th of July Corridor, Sheikh Zayed City, Giza, 12588, Egypt.
Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis and machine learning techniques. We merged datasets from the Molecular Taxonomy of Breast Cancer International Consortium, Memorial Sloan Kettering Cancer Center, Duke University, and the SEER program, creating a comprehensive dataset of 272, 252 rows and 23 columns.
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