The Lepidoptera of North America Network, or LepNet, is a digitization effort recently launched to mobilize biodiversity data from 3 million specimens of butterflies and moths in United States natural history collections (http://www.lep-net.org/). LepNet was initially conceived as a North American effort but the project seeks collaborations with museums and other organizations worldwide. The overall goal is to transform Lepidoptera specimen data into readily available digital formats to foster global research in taxonomy, ecology and evolutionary biology.

Download full-text PDF

Source
http://dx.doi.org/10.11646/zootaxa.4247.1.10DOI Listing

Publication Analysis

Top Keywords

lepidoptera north
8
north america
8
america network
8
lepnet lepidoptera
4
network lepidoptera
4
network lepnet
4
lepnet digitization
4
digitization effort
4
effort launched
4
launched mobilize
4

Similar Publications

Butterflies serve as key indicators of climate change impacts such as shifts in emergence timing and shifts in geographic range and distribution. However, the development of commonly used ecological forecasts based on butterfly physiological tolerance of temperature change has lagged behind that of other taxonomic groups. Here, we provide a series of related datasets comprising butterfly thermal physiological traits to enable such forecasts.

View Article and Find Full Text PDF

Weak-form inference for hybrid dynamical systems in ecology.

J R Soc Interface

December 2024

Department of Applied Mathematics, University of Colorado, Boulder, CO, USA.

Species subject to predation and environmental threats commonly exhibit variable periods of population boom and bust over long timescales. Understanding and predicting such behaviour, especially given the inherent heterogeneity and stochasticity of exogenous driving factors over short timescales, is an ongoing challenge. A modelling paradigm gaining popularity in the ecological sciences for such multi-scale effects is to couple short-term continuous dynamics to long-term discrete updates.

View Article and Find Full Text PDF

We assessed the utility of a Bayesian analysis of dose-mortality curves using probit analysis. A Bayesian equivalent of a conventional single population probit analysis using Abbott's correction demonstrated the ability of the Bayesian model to recover parameters from generative data. We then developed a model that removed Abbott's correction and estimated natural survivorship as part of the overall model fitting process.

View Article and Find Full Text PDF

The Utility of Visual and Olfactory Maize Leaf Cues in Host Finding by Adult (Lepidoptera: Noctuidae).

Plants (Basel)

November 2024

Henan Key Laboratory of Agricultural Pest Monitoring and Control, IPM Key Laboratory in Southern Part of North China for Ministry of Agriculture, International Joint Research Laboratory for Crop Protection of Henan, No. 0 Entomological Radar Field Scientific Observation and Research Station of Henan Province, Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.

The fall armyworm, (Lepidoptera: Noctuidae) (FAW), is an invasive and destructive polyphagous pest that poses a significant threat to global agricultural production. The FAW mainly damages maize, with a particular preference for V3-V5 (third to fifth leaf collar) plant stages in northern China. How the FAW moth precisely locates maize plants in the V3-V5 stage at night remains unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!