Interactive effects of climate, land use and soil type on Culex pipiens/torrentium abundance

Krol, Louie; Blom, Rody; Dellar, Martha; Beek, Jordy G. van der; Stroo, Arjan; Bodegom, Peter M. van; Geerling, Gertjan; Koenraadt, Constantianus J. M.; Schrama, Maarten

doi:10.1016/j.onehlt.2023.100589

Cited by 10 publications

(3 citation statements)

References 44 publications

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“…The latter set of measures will likely reduce the number of Cx. pipiens larvae via the reduction of (potential) artificial breeding habitats and increase predation in newly formed permanent water bodies that are linked to well-established ecosystems [ 91 – 94 ]. Our study shows that while Cx.…”

Section: Discussionmentioning

confidence: 99%

Distribution of Culex pipiens life stages across urban green and grey spaces in Leiden, The Netherlands

Krol,

Langezaal,

Budidarma

et al. 2024

Parasites Vectors

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Background There is an urgent need for cities to become more climate resilient; one of the key strategies is to include more green spaces in the urban environment. Currently, there is a worry that increasing green spaces might increase mosquito nuisance. As such, this study explores a comprehensive understanding of how mosquitoes utilise contrasting grey and green habitats at different life stages and which environmental factors could drive these distributions. Methods We used a setup of six paired locations, park (green) vs. residential (grey) areas in a single model city (Leiden, The Netherlands), where we sampled the abundances of different mosquito life stages (eggs, larvae, adults) and the local microclimatic conditions. In this study, we focused on Culex pipiens s.l., which is the most common and abundant mosquito species in The Netherlands. Results Our results show that while Cx. pipiens ovipositioning rates (number of egg rafts) and larval life stages were far more abundant in residential areas, adults were more abundant in parks. These results coincide with differences in the number of suitable larval habitats (higher in residential areas) and differences in microclimatic conditions (more amenable in parks). Conclusions These findings suggest that Cx. pipiens dispersal may be considerably more important than previously thought, where adult Cx. pipiens seek out the most suitable habitat for survival and breeding success. Our findings can inform more targeted and efficient strategies to mitigate and reduce mosquito nuisance while urban green spaces are increased, which make cities more climate resilient. Graphical Abstract

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Section: Discussionmentioning

confidence: 99%

Distribution of Culex pipiens life stages across urban green and grey spaces in Leiden, The Netherlands

Krol,

Langezaal,

Budidarma

et al. 2024

Parasites Vectors

Self Cite

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“…pipiens : firstly, a fine-scale analysis of environmental conditions, as it accurately differentiates and map the mosquito-required environments for each life stage ( 67 ). Secondly, a broader-scale analysis of landscape variability near the sites was investigated, as it provides insights into the patchy territory favouring the mosquito proliferation ( 58 , 68 , 69 ). This study utilized a spatial resolution of 20 metres as reference, aiming to achieve a detailed representation of the landscape surrounding the entomological sites.…”

Section: Discussionmentioning

confidence: 99%

Spotting Culex pipiens from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques

Ippoliti,

Bonicelli,

De Ascentis

et al. 2024

Front. Vet. Sci.

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Culex pipiens, an important vector of many vector borne diseases, is a species capable to feeding on a wide variety of hosts and adapting to different environments. To predict the potential distribution of Cx. pipiens in central Italy, this study integrated presence/absence data from a four-year entomological survey (2019–2022) carried out in the Abruzzo and Molise regions, with a datacube of spectral bands acquired by Sentinel-2 satellites, as patches of 224 × 224 pixels of 20 meters spatial resolution around each site and for each satellite revisit time. We investigated three scenarios: the baseline model, which considers the environmental conditions at the time of collection; the multitemporal model, focusing on conditions in the 2 months preceding the collection; and the MultiAdjacency Graph Attention Network (MAGAT) model, which accounts for similarities in temperature and nearby sites using a graph architecture. For the baseline scenario, a deep convolutional neural network (DCNN) analyzed a single multi-band Sentinel-2 image. The DCNN in the multitemporal model extracted temporal patterns from a sequence of 10 multispectral images; the MAGAT model incorporated spatial and climatic relationships among sites through a graph neural network aggregation method. For all models, we also evaluated temporal lags between the multi-band Earth Observation datacube date of acquisition and the mosquito collection, from 0 to 50 days. The study encompassed a total of 2,555 entomological collections, and 108,064 images (patches) at 20 meters spatial resolution. The baseline model achieved an F1 score higher than 75.8% for any temporal lag, which increased up to 81.4% with the multitemporal model. The MAGAT model recorded the highest F1 score of 80.9%. The study confirms the widespread presence of Cx. pipiens throughout the majority of the surveyed area. Utilizing only Sentinel-2 spectral bands, the models effectively capture early in advance the temporal patterns of the mosquito population, offering valuable insights for directing surveillance activities during the vector season. The methodology developed in this study can be scaled up to the national territory and extended to other vectors, in order to support the Ministry of Health in the surveillance and control strategies for the vectors and the diseases they transmit.

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“…Indeed, Krol et al, show that mosquito ( Cx. pipiens ) abundance and diversity consistently differ among land use- and soil types, depending on rainfall, thus pointing at important landscape covariates [ 15 ]. These findings underscore the notion that disease risk is not homogeneously distributed across the landscape, and that variation in local land use and climate are important determinants of mosquito abundances and thereby also likely determinants for disease risk.…”

Section: The Vector and Ecosystem Component: Critical Factors That De...mentioning

confidence: 99%

A One Health approach to predict, monitor and prevent arbovirus infections, an extensive case study from the Netherlands - Editorial

Sikkema,

Schrama,

Rockx

et al. 2023

One Health

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Interactive effects of climate, land use and soil type on Culex pipiens/torrentium abundance

Cited by 10 publications

References 44 publications

Distribution of Culex pipiens life stages across urban green and grey spaces in Leiden, The Netherlands

Distribution of Culex pipiens life stages across urban green and grey spaces in Leiden, The Netherlands

Spotting Culex pipiens from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques

A One Health approach to predict, monitor and prevent arbovirus infections, an extensive case study from the Netherlands - Editorial

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