Artificial light at night (ALAN) is a pervasive form of pollution largely affecting wildlife, from individual behaviour to community structure and dynamics. As nocturnal mammals, bats are often adversely affected by ALAN, yet some "light-opportunistic" species exploit it by hunting insects swarming near lights. Here we used two potentially competing pipistrelle species as models, Kuhl's (Pipistrellus kuhlii) and common (Pipistrellus pipistrellus) pipistrelles, both known to forage in artificially illuminated areas. We set our study in a mountainous area of central Italy, where only recently did the two species become syntopic. We applied spatial modelling and radiotracking to contrast potential vs. actual environmental preferences by the two pipistrelles. Species distribution models and niche analysis showed a large interspecific niche overlap, including a preference for illuminated areas, presenting a potential competition scenario. Pipistrellus pipistrellus association with ALAN, however, was weakened by adding P. kuhlii as a biotic variable to the model. Radiotracking showed that the two species segregated habitats at a small spatial scale and that P. kuhlii used artificially illuminated sites much more frequently than P. pipistrellus, despite both species potentially being streetlamp foragers. We demonstrate that ALAN influences niche segregation between two potentially competing species, confirming its pervasive effects on species and community dynamics, and provide an example of how light pollution and species' habitat preferences may weave a tapestry of complex ecological interactions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.envpol.2021.117187 | DOI Listing |
mSystems
January 2025
Zoological Institute, Kiel University, Kiel, Germany.
The microbiomes of host organisms and their direct source environments are closely linked and key for shaping microbial community dynamics. The relationship between these linked dynamics is largely unexplored because source substrates are usually unavailable. To address this current knowledge gap, we employed bacteriovorous nematodes as a unique model system, for which source substrates like rotting apples can be easily collected.
View Article and Find Full Text PDFCompr Rev Food Sci Food Saf
January 2025
State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China.
The global food system faces numerous challenges, creating an urgent need for sustainable reform. Functional microbiome assemblies offer transformative potential by endowing microbial foods with diverse, beneficial characteristics. These assemblies can dynamically influence specific food systems, positioning them as a promising approach for reshaping food production.
View Article and Find Full Text PDFYi Chuan
January 2025
Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Being the most magnificent plateau in elevation and size on Earth, the Qinghai-Tibet Plateau has a profound impact on biodiversity due to the unique geographic and climatic conditions. Here we review the speciation patterns and genetic diversity of the birds from the Qinghai-Tibet Plateau in relation to the geological history and climatic changes. First, the uplift of the Qinghai-Tibet Plateau forms a geographic barrier and promotes interspecific and intraspecific genetic differentiation.
View Article and Find Full Text PDFBBA Adv
December 2024
Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Chemical-nose/tongue technologies are emerging as promising analytical tools for glycan analysis. After briefly introducing the importance of glycans and their analytical methods, including the lectin microarray (LMA) as one of the gold standards, the fundamental principles underlying chemical noses/tongues are explained and various applications for monosaccharides and glycans are introduced. Then, the similarities and differences of these two approaches are discussed.
View Article and Find Full Text PDFJ Cancer Prev
December 2024
Cancer and Translational Research Lab, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India.
Given the evolutionary nature of tumor complexities and heterogeneity, the early diagnosis of cancer encounters various challenges. Complexities at the level of metabolite reprogramming are compelling in the background of invasiveness, metastasis, drug- and radiation-induced metabolic alterations, immunotherapy-influenced changes, and pro-tumor niche including microbiome. Therefore, it is crucial to examine both current and future obstacles associated with early cancer detection specifically in the context of tumor metabolite biomarkers at preclinical and clinical levels.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!