scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Moth biomass increases and decreases over 50 years in Britain.

TL;DR: Analysing data from the world’s longest-running insect population database, the authors find that recent declines in UK moth biomass were preceded by a larger increase, highlighting the need for long-term data to detect trends and identify their causes robustly.
Journal ArticleDOI

Complex long-term biodiversity change among invertebrates, bryophytes and lichens.

TL;DR: By analysing changes in occupancy among >5,000 species of invertebrate, bryophytes and lichens in the United Kingdom over the past 45 years, the authors find substantial turnover in community composition among all groups, although average declines are evident only among terrestrial non-insect invertebrates.
Journal ArticleDOI

Integrated pest management: good intentions, hard realities. A review

TL;DR: Agroecological Crop Protection is proposed as a concept that captures how agroecology can be optimally put to the service of crop protection, an interdisciplinary scientific field that comprises an orderly strategy at the field, farm, and agricultural landscape level and a dimension of social and organizational ecology.
Journal ArticleDOI

Global Patterns and Drivers of Bee Distribution.

TL;DR: A uniquely comprehensive checklist of bee species distributions and >5,800,000 public bee occurrence records are combined to describe global patterns of bee biodiversity, providing a new baseline and best practices for studies on bees and other understudied invertebrates.
Posted ContentDOI

Deep learning and computer vision will transform entomology

TL;DR: This work connects recent developments in deep learning and computer vision to the urgent demand for more cost-efficient monitoring of insects and other invertebrates and shows how deep learning tools can convert the big data streams into ecological information.
References
More filters
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.
Journal ArticleDOI

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.
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.
Journal ArticleDOI

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.
Related Papers (5)