Results 171 to 180 of about 23,298 (298)

AutoPollS: A tool for automated monitoring of pollinators using deep learning

Methods in Ecology and Evolution, EarlyView.
Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith, Olivia M. Bernauer, Grace Melone, Brett Graham, Julia Wiessing, Rafael Salas, Jeremy Hemberger, Abhishek Bhattacharyya, Acacia T. S. Tang, Elena Rojas, Joshua San Miguel, Brian J. Spiesman, Claudio Gratton, James D. Crall   +13 more
wiley   +1 more source

Global Geography of Natural History Museum Specimen Holdings: A Time-Resolved Network Analysis of Mammal Collections, 1900-2020. [PDF]

Biodivers Data J
Mills MW, Lassiter U.
europepmc   +1 more source

Future projection of habitat suitability and potential distribution of main European cereal bugs using MaxEnt modelling

Agricultural and Forest Entomology, EarlyView.
Global climate change will modify the distribution areas of important cereal bugs by changing environmental conditions. Information on their dispersal possibilities can help to clarify their future economic importance and damage potential. In this study, we modelled the current potential and future distribution of four important pests by using the ...
Szilvia Gibicsár, Katalin Somfalvi‐Tóth, Sándor Keszthelyi   +2 more
wiley   +1 more source

Utilizing large language models to construct a dataset of Württemberg's 19th-century fauna from historical records. [PDF]

PLoS One
Teich MC, Escobari B, Rehbein M.
europepmc   +1 more source

Linking NCBI taxonomy to GBIF

, 2012
In response to Rutger Vos's question I've started to add GBIF taxon ids to the iPhylo Linkout website. If you've not come across iPhylo Linkout, it's a Semantic Mediawiki-based site were I maintain links between the NCBI taxonomy and other resources, such as Wikipedia and the BBC Nature Wildlife finder. For more background seePage, R. D. M.
openaire   +1 more source

Multi‐angle, cross‐domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae)

Cladistics, EarlyView.
Abstract Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systematic studies, particularly in an era of declining expertise in insect taxonomy. However, current deep learning approaches often rely on standardized specimen photos from limited‐angles and ...
Xinkai Wang, Huaiyu Liu, Zhuo Chen, Yisheng Zhao, Yingqi Liu, Haoyang Xiong, Yuange Duan, Fang Song, Wanzhi Cai, Xuankun Li, Hu Li   +10 more
wiley   +1 more source

An integrated approach to balance freshwater connectivity restoration and invasion risk

Conservation Biology, EarlyView.
Abstract Habitat fragmentation negatively affects many native migratory fish populations. However, this fragmentation can also prevent the spread and establishment of invasive species. We modified the dendritic connectivity index (DCI), a commonly used freshwater connectivity metric, to account for multiple invasive dispersal pathways in estimates of ...
Alex Arkilanian, David Coté, Yolanda F. Wiersma, Richard Pither   +3 more
wiley   +1 more source

Globally aggregated biodiversity data impact predictive and descriptive research. [PDF]

Proc Natl Acad Sci U S A
Steinke D, Gemeinholzer B, Martínez-Meyer E, Noesgaard D, Young A, Schigel D.   +5 more
europepmc   +1 more source

Harnessing social media data to track species range shifts

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs and citizen science data remain heavily biased toward the Global North. Especially in megadiverse countries with limited biodiversity records, incorporating social media data can help address existing data gaps.
Shawan Chowdhury, Niloy Hawladar, Ripon C. Roy, César Capinha, Phillip Cassey, Ricardo A. Correia, Gideon Gywa Deme, Moreno Di Marco, Enrico Di Minin, Ivan Jarić, Richard J. Ladle, Jonathan Lenoir, Mohammad Momeny, Jooel J. Rinne, Uri Roll, Aletta Bonn   +15 more
wiley   +1 more source

MOVECLIM-AZORES: plot based vascular plant cover along elevational gradients (2013). [PDF]

Biodivers Data J
Andrade R, Gabriel R, Borges PAV, Elias RB.   +3 more
europepmc   +1 more source