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More than 75 percent decline over 27 years in total flying insect biomass in protected areas.

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TLDR
This analysis estimates a seasonal decline of 76%, and mid-summer decline of 82% in flying insect biomass over the 27 years of study, and shows that this decline is apparent regardless of habitat type, while changes in weather, land use, and habitat characteristics cannot explain this overall decline.
Abstract
Global declines in insects have sparked wide interest among scientists, politicians, and the general public. Loss of insect diversity and abundance is expected to provoke cascading effects on food webs and to jeopardize ecosystem services. Our understanding of the extent and underlying causes of this decline is based on the abundance of single species or taxonomic groups only, rather than changes in insect biomass which is more relevant for ecological functioning. Here, we used a standardized protocol to measure total insect biomass using Malaise traps, deployed over 27 years in 63 nature protection areas in Germany (96 unique location-year combinations) to infer on the status and trend of local entomofauna. Our analysis estimates a seasonal decline of 76%, and mid-summer decline of 82% in flying insect biomass over the 27 years of study. We show that this decline is apparent regardless of habitat type, while changes in weather, land use, and habitat characteristics cannot explain this overall decline. This yet unrecognized loss of insect biomass must be taken into account in evaluating declines in abundance of species depending on insects as a food source, and ecosystem functioning in the European landscape.

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Heatwaves and Novel Host Consumption Increase Overwinter Mortality of an Imperiled Wetland Butterfly

TL;DR: It is shown that warm winter days induced severe mortality, providing a mechanistic explanation of how climate change can trigger population declines in E. phaeton and other insects.
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Resistance is futile: RNA-sequencing reveals differing responses to bat fungal pathogen in Nearctic Myotis lucifugus and Palearctic Myotis myotis

TL;DR: Compared the whole-transcriptome responses in wild bats infected with P. destructans show dramatically different local transcriptional responses to the pathogen between uninfected and infected samples from the two species, promoting tolerance to fungal colonization during hibernation that favors survival.
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Effects of essential amino acid supplementation to promote honey bee gland and muscle development in cages and colonies.

TL;DR: Colonies fed 29 g EAA supplement may have slightly increased individual bee growth and brood rearing, but this effect was not significant, and it is suggested that colony supplementation should target nurse bee nutrition.
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Ultraconserved yet informative for species delimitation: Ultraconserved elements resolve long-standing systematic enigma in Central European bees.

TL;DR: Results provide strong evidence for the suitability of UCEs as a fast method for species delimitation even in recently diverged lineages and provide the first evidence for both mitochondrial introgression among distinct bee species, and mitochondrial paraphyly within a single bee species.
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Biological albedo reduction on ice sheets, glaciers, and snowfields

TL;DR: In this paper, a global synthesis of biological albedo reduction (BAR) in terrestrial snow and ice ecosystems is provided, with an emphasis on the underrepresentation of genomic tools, understudied areas, and a dearth of temporal sampling.
References
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Inference from Iterative Simulation Using Multiple Sequences

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Journal ArticleDOI

Bayesian measures of model complexity and fit

TL;DR: In this paper, the authors consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined and derive a measure pD for the effective number in a model as the difference between the posterior mean of the deviances and the deviance at the posterior means of the parameters of interest, which is related to other information criteria and has an approximate decision theoretic justification.
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Global pollinator declines: trends, impacts and drivers.

TL;DR: The nature and extent of reported declines, and the potential drivers of pollinator loss are described, including habitat loss and fragmentation, agrochemicals, pathogens, alien species, climate change and the interactions between them are reviewed.

JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling

TL;DR: JAGS is a program for Bayesian Graphical modelling which aims for compatibility with Classic BUGS and could eventually be developed as an R package.
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