Plant diversity monitoring is an essential basis for plant conservation and policy making, and is critical to the sustainable use and protection of biological resources. We reviewed the research progress on plant diversity monitoring, and proposed further research direction. Plant diversity monitoring is developing rapidly at a new situation, and enters a new era referring to intelligent, integration of macroscopic and microscopic, networked monitoring, big data, large-scale, multidisciplinary, all-dimensional, from species level to family level, community level or ecosystem level, and even the global level. The construction of biodiversity monitoring network promotes the uniform of essential biodiversity variables and networked monitoring. Internet information and database had become a main data source of plant diversity. There are many new challenges in plant diversity monitoring, including standardization, effective utilization and sharing of the monitoring data, as well as the monitoring for genetic diversity and individuals. Ecological monitoring would be large-scale, automated and standardized. Many things should be addressed in further research, including to improve the monitoring networks, to find innovative ways and build new models, to carry out monitoring at hotspots and give priority to important species as well as community or even larger scale, to pay more attention to the background investigation of plant resource.
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http://dx.doi.org/10.13287/j.1001-9332.202002.003 | DOI Listing |
Crit Rev Anal Chem
January 2025
Chemistry Department, Faculty of Science, Cairo University, Giza, Egypt.
Epilepsy is a serious neurological disease that impacts all facets of a patient's life, including their socioeconomic situation. The failure to identify underlying epileptic signatures in their early stages might result in severe harm to the central nervous system (CNS) and permanent adverse changes to some organs. Therefore, numerous antiepileptic drugs (AEDs are frequently used to control and treat the frequency of seizures.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Olaf Malm Laboratory of Environmental Studies (LEA-OM), Carlos Chagas Filho Biophysics Institute (IBCCF), Federal University of Rio de Janeiro (UFRJ), 21941-902, Rio de Janeiro, Brazil; Laboratory of Oceanology, Freshwater and Oceanic Sciences Unit of Research (FOCUS), University of Liege, Belgium.
This study investigates essential (Mg, Ca, Fe, Mn, Cu, Zn, Se, Ni) and non-essential (Li, Be, Cr, Rb, Sr, Cs, Cd, Sn, Ba, and Pb) element concentrations and stable isotope (δC, δN, δS) compositions in feathers of Brown Boobies (Sula leucogaster) from three distinct Atlantic islands: the Archipelagos of Saint Peter and Saint Paul (SPSP), Abrolhos, and Cagarras. We aimed to investigate the ecological and environmental factors influencing these seabird populations and assess potential variations in contaminant exposure and dietary habits based on location, sex, and maturity stages. Our finding revealed significant geographical differences in trace element concentrations.
View Article and Find Full Text PDFTransplant Cell Ther
January 2025
Dana-Farber Cancer Institute, Division of Transplantation and Cellular Therapy, Boston, MA. Electronic address:
Background: Post-transplant cyclophosphamide (PTCy) is a commonly used graft-vs-host disease (GVHD) prophylaxis, particularly in the setting of haploidentical (haplo) hematopoietic cell transplantation (HCT). The rate of graft failure has been reported to be as high as 12-20% in haplo-HCT recipients using PTCy. The objective of this study was to determine if donor type influenced the risk of late graft failure following RIC HCT using PTCy-based GVHD prophylaxis.
View Article and Find Full Text PDFNat Ecol Evol
January 2025
Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK.
Rapid growth in bio-logging-the use of animal-borne electronic tags to document the movements, behaviour, physiology and environments of wildlife-offers opportunities to mitigate biodiversity threats and expand digital natural history archives. Here we present a vision to achieve such benefits by accounting for the heterogeneity inherent to bio-logging data and the concerns of those who collect and use them. First, we can enable data integration through standard vocabularies, transfer protocols and aggregation protocols, and drive their wide adoption.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Geomorphology and Quaternary Geology, Faculty of Oceanography and Geography, University of Gdańsk, Bażyńskiego 4, 80-952, Gdańsk, Poland.
This study introduces a novel methodology for estimating and analysing coastal cliff degradation, using machine learning and remote sensing data. Degradation refers to both natural abrasive processes and damage to coastal reinforcement structures caused by natural events. We utilized orthophotos and LiDAR data in green and near-infrared wavelengths to identify zones impacted by storms and extreme weather events that initiated mass movement processes.
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