Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age DOI Creative Commons
Rebecca Clement, Hyoseok Lee, Nicholas C. Manoukis

и другие.

Agriculture, Год журнала: 2025, Номер 15(11), С. 1157 - 1157

Опубликована: Май 28, 2025

Big data approaches are rapidly expanding across many fields of science and seeing increasing application, yet the use big in research related to invasive species lags. can play a key role predicting, detecting, preventing, controlling, eradicating biological invasions. Here, we assess terms literature data, invasions, agriculture review sources including museum records, crowdsourcing observations, natural history collections, DNA-based information. These be combined with environmental build models, predict origins species, develop control methods. To harness power for agricultural several action areas recommended streamline processes improve sources.

Язык: Английский

Online Crowdsourced Data from iNaturalist Can Assist Monitoring of Invasive Mosquitoes DOI Creative Commons
Benjamin Cull

Insects, Год журнала: 2025, Номер 16(2), С. 128 - 128

Опубликована: Янв. 28, 2025

Invasive mosquitoes continue to spread, increasing the threat of mosquito-borne disease. Ongoing mosquito surveillance is necessary track introduction and establishment these species in new areas implement appropriate public health vector control measures. Contributions from citizen science initiatives have been an important component detecting, controlling, raising awareness invasive mosquitoes. The open-access biodiversity platform iNaturalist extensive source human observations wildlife, including arthropod vectors, can be a useful supplementary tool for passive surveillance. In this study, utility data support was assessed by examining distribution seasonal on four Aedes (IAS) Europe neighbouring countries. Almost 16,000 were examined across 62 countries; 13% identified as IAS, with further 2% considered probable IAS. These included 16 aegypti, 1582 albopictus, 373 japonicus, 58 koreicus. IAS present most known establishment, but potential regions spread also identified. results use low-cost assist existing

Язык: Английский

Процитировано

0
Automated near real-time monitoring in ecology: Status quo and ways forward DOI Creative Commons
Anna M. Davison, Koen de Koning, Franziska Taubert

и другие.

Ecological Informatics, Год журнала: 2025, Номер 89, С. 103157 - 103157

Опубликована: Апрель 18, 2025

Язык: Английский

Процитировано

0
Ligustrum L. (Oleaceae) in South Africa: Introduction history and invasion ecology DOI Creative Commons

James P. Shepard,

Heath Beckett, Christiaan P. Gildenhuys

и другие.

South African Journal of Botany, Год журнала: 2025, Номер 182, С. 185 - 200

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0
Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age DOI Creative Commons
Rebecca Clement, Hyoseok Lee, Nicholas C. Manoukis

и другие.

Agriculture, Год журнала: 2025, Номер 15(11), С. 1157 - 1157

Опубликована: Май 28, 2025

Big data approaches are rapidly expanding across many fields of science and seeing increasing application, yet the use big in research related to invasive species lags. can play a key role predicting, detecting, preventing, controlling, eradicating biological invasions. Here, we assess terms literature data, invasions, agriculture review sources including museum records, crowdsourcing observations, natural history collections, DNA-based information. These be combined with environmental build models, predict origins species, develop control methods. To harness power for agricultural several action areas recommended streamline processes improve sources.

Язык: Английский

Процитировано

0