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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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Are multiple multimetric indices effective for assessing ecological condition in tropical basins

TL;DR: In this paper, the effectiveness of 17 published benthic macroinvertebrate MMIs for assessing the environmental quality of a tropical anthropogenically least-disturbed river basin in the Neotropical Savanna (Brazilian Cerrado) biome was evaluated.
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Experimental infection of bumblebees with honeybee-associated viruses: no direct fitness costs but potential future threats to novel wild bee hosts

TL;DR: It is shown that three viral types isolated from honey Bees readily replicate within hosts of the bumblebee Bombus terrestris, highlighting the potential threat of viral spillover from honeybees to novel wild bee species and underscore the importance of additional studies under field-realistic conditions to evaluate whether pathogen spillover has a negative impact on wild bee individuals and population fitness.
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The effect of within-crop floral resources on pollination, aphid control and fruit quality in commercial strawberry

TL;DR: Although there were no negative effects on the proportions of marketable fruits with intercropping, the benefits received were limited and it might be that in a different growing season the effect would be more pronounced but this would need to be weighed up against the cost of implementing such interventions.
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Environmental DNA metabarcoding of cow dung reveals taxonomic and functional diversity of invertebrate assemblages.

TL;DR: This study investigates the potential of environmental DNA (eDNA) metabarcoding of cow dung samples for biomonitoring of dung‐associated invertebrates and discusses potential caveats of the method, as well as directions for future study and perspectives for implementation in research and monitoring.
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Arthropods and climate change - arctic challenges and opportunities.

TL;DR: An overview of individual, population, and ecosystem level responses to climate change in Arctic arthropods is provided, focusing on thermal performance, life history variation, population dynamics, community composition, diversity, and biotic interactions.
References
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Journal ArticleDOI

Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
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Inference from Iterative Simulation Using Multiple Sequences

TL;DR: The focus is on applied inference for Bayesian posterior distributions in real problems, which often tend toward normal- ity after transformations and marginalization, and the results are derived as normal-theory approximations to exact Bayesian inference, conditional on the observed simulations.
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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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