Potential global distributions of an important aphid pest, Rhopalosiphum padi: insights from ensemble models with multiple variables DOI
Mingsheng Yang,

Jiayi Yu,

Yongli Wang

и другие.

Journal of Economic Entomology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 8, 2024

Species distribution modeling is extensively used for predicting potential distributions of invasive species. However, an ensemble approach has been less frequently particularly pest The bird cherry-oat aphid Rhopalosiphum padi L. important wheat (Triticum aestivum L.) worldwide and causes 30% yield losses. Here, we developed a series models with multiple variables to predict the habitat suitability this at global scale. current suitable R. mainly distributed in East Asia, South Europe, southern North America, eastern Australia, New Zealand. highly regions are primarily east China, Japan, most southeastern edge Australia. In future scenarios, habitats will undergo significant contraction overall northward, no moderately nor predicted other areas. Our findings indicate that high risk outbreaks currently exists mentioned above, especially cultivation, but capacity cause such weaken future. Climate-associated factors significantly more than land use, elevation host-plant factors, BIO11 (mean temperature coldest quarter), particular, predominated shaping projections padi's distribution. pattern key ecological affecting identified herein could provide guidance developing management policies targeting economically pest.

Язык: Английский

Forecasting Range Shifts in Terrestrial Alpine Insects Under Global Warming DOI Creative Commons
Fabio Leonardo Meza‐Joya, Mary Morgan‐Richards, Steven A. Trewick

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 1, 2025

ABSTRACT Anthropogenic planetary heating is disrupting global alpine systems, but our ability to empirically measure and predict responses in species distributions impaired by a lack of comprehensive data technical limitations. We conducted comprehensive, semi‐quantitative review empirical studies on contemporary range shifts insects driven climate heating, drawing attention methodological issues potential biotic abiotic factors influencing variation responses. highlight case showing how dynamics may affect standing genetic adaptive potential, discuss integration frameworks can improve forecasts. Although influence individual responses, most studied so far are shifting higher elevations. Upslope often accompanied contractions that expected diminish increasing extinction risk. Endemic islands predicted be especially vulnerable. Inferences drawn from the insects, also have relevance other montane habitats. Correlative niche modelling keystone tool its limited consider biological processes underpinning species' complicates interpretation. Alpine exhibit some respond rising temperatures via change or phenotypic plasticity. Thus, future efforts should incorporate using flexible hybrid approaches enhance realism predictions. Boosting scientific capability envisage environments their associated biota imperative given speed intensity high‐mountain ecosystems surpass collect required guide effective conservation planning management decisions.

Язык: Английский

Процитировано

0
Host-parasitoid trophic webs in complex agricultural systems DOI Creative Commons

K. S. Shameer,

Ian C.W. Hardy

Current Opinion in Insect Science, Год журнала: 2024, Номер 65, С. 101253 - 101253

Опубликована: Авг. 15, 2024

The composition and dynamics of ecological communities are complex because the presence large numbers organisms, belonging to many different species, each with their own evolutionary history, numerous interactions. construction analysis trophic webs summarize interactions across levels link community structure properties such as ecosystem services. We focus on agroecological communities, which may be simpler than natural but nonetheless present considerable challenges describe understand. review characteristics study comprised plants, phytophagous insects, insect parasitoids particular regard maintenance sustainable services, especially biological pest control. constrained largely overlook other members these hyperparasitoids, predators, parasites, microbes. draw chiefly recent literature while acknowledging importance advances made during immediately preceding decades. Trophic web can greatly improve understanding role impact herbivores enemies in various species interactions, apparent competition, assists biocontrol strategies. also helps predicting ecology consequences externally driven changes agroecosystems.

Язык: Английский

Процитировано

1
Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs DOI Creative Commons
Naresh Neupane,

Rhea Goswami,

Kyle Robert Harrison

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 7, 2024

Rapid technological advances and growing participation from amateur naturalists have made countless images of insects in their natural habitats available on global web portals. Despite automated species identification, traits like developmental stage or health remain underexplored manually annotated, with limited focus automating these features. As a proof-of-concept, we developed computer vision model utilizing the YOLOv5 algorithm to accurately detect monarch butterfly caterpillars photographs classify them into five stages (instars). The training data were obtained iNaturalist portal, first classified annotated by experts allow supervised models. Our best trained demonstrates excellent performance object detection, achieving mean average precision score 95% across all instars. In terms classification, YOLOv5l version yielded performance, reaching 87% instar classification accuracy for classes test set. approach show promise developing detection models insects, resource that can be used large-scale mechanistic studies. These photos hold valuable untapped information, we've released our collection as an open dataset support replication expansion methods.

Язык: Английский

Процитировано

1
Potential global distributions of an important aphid pest, Rhopalosiphum padi: insights from ensemble models with multiple variables DOI
Mingsheng Yang,

Jiayi Yu,

Yongli Wang

и другие.

Journal of Economic Entomology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 8, 2024

Species distribution modeling is extensively used for predicting potential distributions of invasive species. However, an ensemble approach has been less frequently particularly pest The bird cherry-oat aphid Rhopalosiphum padi L. important wheat (Triticum aestivum L.) worldwide and causes 30% yield losses. Here, we developed a series models with multiple variables to predict the habitat suitability this at global scale. current suitable R. mainly distributed in East Asia, South Europe, southern North America, eastern Australia, New Zealand. highly regions are primarily east China, Japan, most southeastern edge Australia. In future scenarios, habitats will undergo significant contraction overall northward, no moderately nor predicted other areas. Our findings indicate that high risk outbreaks currently exists mentioned above, especially cultivation, but capacity cause such weaken future. Climate-associated factors significantly more than land use, elevation host-plant factors, BIO11 (mean temperature coldest quarter), particular, predominated shaping projections padi's distribution. pattern key ecological affecting identified herein could provide guidance developing management policies targeting economically pest.

Язык: Английский

Процитировано

0