We studied host-plant preference and performance of the leaf beetle, Melasoma lapponica, around Severonikel smelter situated in Monchegorsk, Russia. The breadth of feeding niche (Smith's measure) based on both field counts and preference tests decreased with an increase of ambient SO concentration, but showed no relationship with either metal pollutants or beetle population densities. In heavily polluted plots (mean annual SO concentrations 400-1000 μg/m) the beetles concentrated on Salix borealis, Whereas in moderately and slightly polluted plots they used other willow species as well. No difference in survival was revealed between M. lapponica fed with leaves of S. borealis from heavily and sloghtly polluted plots. However, performance of larvae fed with Salix caprea and S. Phylicifolia was significantly lower when leaves were collected from heavily polluted plots. In these plots beetles clearly preferred S. borealis, the only species assuring high survival of M. lapponica under strong pollution impact. Decrease in preference of two less favourable hosts, S. caprea and S. phylicifolia, with increase in pollution can therefore be considered as an adaptive response of M. lapponica to pollution-induced changes in host-plant quality.
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http://dx.doi.org/10.1007/BF00328368 | DOI Listing |
J Environ Manage
January 2025
School of Energy & Environmental Engineering, Hebei University of Technology, Tianjin, 300401, China. Electronic address:
Photosynthetic bacteria (PSB) excel in wastewater treatment by removing pollutants and generating biomass but are challenging to optimize due to complex operational and environmental interactions. Neural Ordinary Differential Equations, Elastic Net, Stacking, and Categorical Boosting were applied as artificial intelligence methods to predict chemical oxygen demand (COD) removal efficiency, biomass productivity, biomass yield, and energy yield. Among these, the Stacking model demonstrated superior predictive performance across all targets.
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Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran.
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January 2025
Faculty for Chemistry, Department of Physical Chemistry, University of Vienna, Vienna, Austria.
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January 2025
Department of Chemistry, School of Applied Sciences, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar 751024, Odisha, India.
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Department of Geology, Aligarh Muslim University, Aligarh, India.
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