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The Cystoseira ericaefolia group is conformed by three species: C. tamariscifolia, C. mediterranea and C. amentacea. These species are among the most important habitat forming species of the upper sublittoral rocky shores of the Mediterranean Sea and adjacent Atlantic coast. This species group is sensitive to human pressures and therefore is currently suffering important losses. This study aimed to assess the influence of anthropogenic pressures, oceanographic conditions and local spatial variability in assemblages dominated by C. ericaefolia in the Alboran Sea. The results showed the absence of significant effects of anthropogenic pressures or its interactions with environmental conditions in the Cystoseira assemblages. This fact was attributed to the high spatial variability, which is most probably masking the impact of anthropogenic pressures. The results also showed that most of the variability occurred on at local levels. A relevant spatial variability was observed at regional level, suggesting a key role of oceanographic features in these assemblages.
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http://dx.doi.org/10.1016/j.marpolbul.2016.02.017 | DOI Listing |
Anal Chim Acta
November 2025
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, 313001, PR China; Laboratory for Microwave Spatial Inte
Background: X-ray fluorescence (XRF) technology is a promising method for estimating the metal element content in ores, which helps in understanding ore composition and optimizing mining and processing strategies. However, due to the presence of a large number of redundant features in XRF spectra, traditional quantitative analysis models struggle to effectively capture the nonlinear relationship between element concentration and spectral information of XRF, making it more difficult to accurately predict metal element concentrations. Thus, analyzing ore element concentrations by XRF remains a significant challenge.
View Article and Find Full Text PDFFungal Biol
October 2025
Faculty of Forestry, Karadeniz Technical University, 61080, Trabzon, Turkiye. Electronic address:
The spatial prediction of edible fungi is essential for the conservation and sustainable use of non-wood forest products (NWFPs) and contributes to the understanding of fungal biodiversity in forest ecosystems. This study compares multiple species distribution modeling (SDM) techniques to predict the spatial distribution of Lactarius deliciosus (L.) Gray in the Refahiye and Tekçam Forest Planning Units (FPUs) in Türkiye.
View Article and Find Full Text PDFMar Environ Res
September 2025
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan.
The northern South China Sea (SCS) shelf and southern Taiwan Strait (TS) are dynamic marginal seas influenced by both freshwater discharge from the Pearl River and seasonal coastal upwelling. These interacting hydrological forces shape ecological gradients that affect marine planktonic communities. Planktonic foraminiferal assemblages were analyzed from plankton tow and surface sediment samples collected during three cruises (2018, 2020, and 2022) along a ∼1000 km transect extending from the Pearl River estuary to the southern TS.
View Article and Find Full Text PDFJ Environ Manage
September 2025
College of Water Resources and Architectural Engineering at Northwest Agriculture and Forestry University/Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas at Ministry of Education, Yangling, Shaanxi, 712100, PR China; Academy of Plateau Science and Sustainability,
Alpine ecosystems are critical for water regulation but highly sensitive to climate change. In the Three-River Source Region (TRSR) of the Qinghai-Tibet Plateau, changes in temperature, precipitation, and large-scale ecological restoration have significantly altered vegetation phenology-including the start (SOS), end (EOS), and length (LOS) of the growing season, as well as vegetation growth status (GS). These shifts affect hydrological processes such as evapotranspiration, soil moisture, snowmelt, and runoff.
View Article and Find Full Text PDFRisk Anal
September 2025
Edward J. Bloustein School, Rutgers University, New Brunswick, New Jersey, USA.
This AI-assisted review article offers a dual review: a book review of Living with Risk in the Late Roman World by Cam Grey, and a critical review of the current potential of large language models (LLMs), specifically ChatGPT's DeepResearch mode, to assist in thoughtful and scholarly book reviewing within risk science. Grey's book presents an innovative reconstruction of how communities in the late Roman Empire perceived and adapted to chronic environmental and societal risks, emphasizing spatial variability, cultural interpretation, and the normalization of uncertainty. Drawing on commentary from a human reviewer and a parallel AI-assisted analysis, we compare the distinct strengths and limitations of each approach.
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