This paper studied the soil physical- properties under Populus davidiana, Quercus liaotungensis, and Populus davidiana--Quercus liaotungensis mixed forest in the Ziwuling forest area of Loess Plateau, and the leaf photosysthetic characteristics of these three types of forests. The results showed that soil moisture content in 0 - 300 cm layer was the highest under P. davidiana forest, and obviously increased below 200 cm in depth under P. davidiana--Q. liaotungensis mixed forest, which was 10.5% - 19.76% higher than that under Q. liaotungensis forest. In 0 - 60 cm layer, P. davidiana forest showed the highest soil bulk density and the lowest soil porosity, while P. davidiana--Q. liaotungensis mixed forest presented the lowest soil bulk density and the highest soil porosity, and both of these indices surpassed their corresponding values under pure forests, which indicated that the mixed forest could make effective use of water in deep soil, and obviously improved soil physical and chemical properties. P. davidiana and Q. liaotungensis had a higher content of leaf chlorophyll than P. davidiana--Q. liaotungensis mixed forest, and Q. liaotungensis presented the highest leaf chlorophyll content. Q. liaotungensis had the highest photosynthetic rate and stomatal conductance, followed by P. davidiana, and by P. davidiana--Q. liaotungensis mixed forest. The water use efficiency of the forests ranked in the decreasing order of Q. liaotungensis in pure forest, Q. liaotungensis in mixed forest, P. davidiana in mixed forest, and P. davidiana in pure forest. Q. liaotungensis in mixed forest presented the highest F(v)/F(m) and F(v)/F(o), and did not remarkably differ from those in pure forest, but in the mixed forest, the F(v)/F(m) and F(v)/F(o) of P. davidiana were markedly lower than those of P. davidiana in pure forest. Both the q(p) and NPQ of P. davidiana and Q. liaotungensis in pure forests were higher than those in mixed forest, respectively. In Ziwuling forest area, Q. liaotungensis in Q. liaotungensis--dominant climax community tended to be more stable, and grew better than Q. liaotungensis in P. davidiana--Q. liaotungensis mixed forest, and P. davidiana would be gradually replaced. Compared with P. davidiana in pure forest, P. davidiana in its mixed forest was at a disadvantage in its growth.
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RSC Adv
January 2025
National Centre of Excellence in Physical Chemistry, University of Peshawar Peshawar Pakistan.
In this study, a binary composite adsorbent based on activated carbon and phosphoric acid geopolymer foam (ACP) was prepared by combining phosphoric acid geopolymer (PAGP) with activated carbon (AC) and applied for the removal of methylene blue (MB). Activated carbon was thoroughly mixed with a mixture of fly ash and metakaolin in varying ratios, followed by phosphoric acid activation and thermal curing. The ACP adsorbent was characterized using scanning electron microscope (SEM), Fourier transform infrared (FTIR) spectrophotometer, X-ray diffractometer (XRD), surface area analyser (SAP), and thermogravimetric analyser (TGA).
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Psychology, The Ohio State University, Columbus, OH, United States.
Background: Personalized approaches to behavior change to improve mental and physical health outcomes are needed. Reducing the intensity, duration, and frequency of stress responses is a mechanism for interventions to improve health behaviors. We developed an ambulatory, dynamic stress measurement approach that can identify personalized stress responses in the moments and contexts in which they occur; we propose that intervening in these stress responses as they arise (ie, just in time; JIT) will result in positive impacts on health behaviors.
View Article and Find Full Text PDFEnviron Pollut
January 2025
College of Environmental Sciences and Engineering, Peking University, Beijing, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing, China.
Association between long-term exposure to ambient fine particulate matter (PM) and lung cancer incidence is well-documented. However, the role of different PM constituents [black carbon (BC), ammonium (NH), nitrate (NO), organic matter (OM), and inorganic sulfate (SO)] remain unclear. The study aimed to specify the associations between PM constituents and lung cancer incidence.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Environment and Forest Resources, College of Agriculture and Life Sciences, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea. Electronic address:
Enhancing the strength of forest carbon sinks is critical in the wake of the accelerating global climate change and intensifying greenhouse effect. However, the regional patterns and environmental controls of forest litter, a major carbon pool and entry pathway from tree-to-soil systems, remain uncertain. Herein, we consolidated up to a decade of data from six ecological studies (totaling 28 stands) conducted across South Korea between 1999 and 2022 (spanning 23 years) to examine variations in total and component-based litterfall with geo-topography and climate.
View Article and Find Full Text PDFJ Proteome Res
January 2025
Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, 69120 Heidelberg, Germany.
The first step in bottom-up proteomics is the assignment of measured fragmentation mass spectra to peptide sequences, also known as peptide spectrum matches. In recent years novel algorithms have pushed the assignment to new heights; unfortunately, different algorithms come with different strengths and weaknesses and choosing the appropriate algorithm poses a challenge for the user. Here we introduce PeptideForest, a semisupervised machine learning approach that integrates the assignments of multiple algorithms to train a random forest classifier to alleviate that issue.
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