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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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Planetary health: from the wellspring of holistic medicine to personal and public health imperative

TL;DR: Mainstream planetary health discourse will be strengthened by inter‐professional healthcare perspectives, and a more sophisticated understanding of the ways in which social dominance orientation and medical authoritarianism compromise the World Health Organization's broad vision of global health.
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Effective Biodiversity Monitoring Needs a Culture of Integration

TL;DR: In this article, the authors propose a framework for aligning different efforts to realize large-scale biodiversity monitoring through a networked design of stakeholders, data, and biodiversity schemes, and emphasize the value of integrating independent biodiversity observations in conjunction with a backbone of structured core monitoring.
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Dung beetle–mammal associations: methods, research trends and future directions

TL;DR: It is suggested that conclusions about the effects of habitat change on dung beetles are based on incomplete knowledge, and recommendations are provided for future work to identify the importance of considering mammal data for dung beetle distributions, composition and their contributions to ecosystem functioning.
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No consistent effects of humans on animal genetic diversity worldwide.

TL;DR: The global effects of land use and human density on the intraspecific genetic diversity of 17 082 species of birds, fishes, insects and mammals between 1980 and 2016 are assessed.
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Economics for the future – Beyond the superorganism

N.J. Hagens
- 01 Mar 2020 - 
TL;DR: In this article, the authors present a cohesive narrative on how human evolved behavior, money, energy, economy and the environment fit together and how humans strive for the same emotional state of our successful ancestors.
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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