Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T11:15:12.183Z Has data issue: false hasContentIssue false

The use of path analysis to determine effects of environmental factors on the adult seasonality of Culicoides (Diptera: Ceratopogonidae) vector species in Spain

Published online by Cambridge University Press:  13 March 2023

Carlos Barceló*
Affiliation:
Applied Zoology and Animal Conservation Research Group, Department of Biology, University of the Balearic Islands (UIB), Ctra. Valldemossa Km 7.5, 07122 Palma de Mallorca, Spain
Kate R. Searle
Affiliation:
UK Centre for Ecology and Hydrology, Bush Estate, EH26 0QB Edinburgh, UK
Rosa Estrada
Affiliation:
Department of Animal Pathology, Faculty of Veterinary, University of Zaragoza, Zaragoza, Spain
Javier Lucientes
Affiliation:
Department of Animal Pathology, Faculty of Veterinary, University of Zaragoza, Zaragoza, Spain
Miguel Á. Miranda
Affiliation:
Applied Zoology and Animal Conservation Research Group, Department of Biology, University of the Balearic Islands (UIB), Ctra. Valldemossa Km 7.5, 07122 Palma de Mallorca, Spain
Bethan V. Purse
Affiliation:
UK Centre for Ecology and Hydrology, Oxfordshire OX10 8BB, UK
*
Author for correspondence: Carlos Barceló, Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Culicoides biting midges (Diptera: Ceratopogonidae) are the main vectors of livestock diseases such as bluetongue (BT) which mainly affect sheep and cattle. In Spain, bluetongue virus (BTV) is transmitted by several Culicoides taxa, including Culicoides imicola, Obsoletus complex, Culicoides newsteadi and Culicoides pulicaris that vary in seasonality and distribution, affecting the distribution and dynamics of BT outbreaks. Path analysis is useful for separating direct and indirect, biotic and abiotic determinants of species' population performance and is ideal for understanding the sensitivity of adult Culicoides dynamics to multiple environmental drivers. Start, end of season and length of overwintering of adult Culicoides were analysed across 329 sites in Spain sampled from 2005 to 2010 during the National Entomosurveillance Program for BTV with path analysis, to determine the direct and indirect effects of land use, climate and host factor variables. Culicoides taxa had species-specific responses to environmental variables. While the seasonality of adult C. imicola was strongly affected by topography, temperature, cover of agro-forestry and sclerophyllous vegetation, rainfall, livestock density, photoperiod in autumn and the abundance of Culicoides females, Obsoletus complex species seasonality was affected by land-use variables such as cover of natural grassland and broad-leaved forest. Culicoides female abundance was the most explanatory variable for the seasonality of C. newsteadi, while C. pulicaris showed that temperature during winter and the photoperiod in November had a strong effect on the start of the season and the length of overwinter period of this species. These results indicate that the seasonal vector-free period (SVFP) in Spain will vary between competent vector taxa and geographic locations, dependent on the different responses of each taxa to environmental conditions.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

Culicoides Latreille (Diptera; Ceratopogonidae) midges are a genus of Nematocera insects with medical and veterinary relevance due to their role in pathogen transmission. Bluetongue (BT) is an economically important disease in Europe with direct effects on farms due to animal losses and indirect effects related to disease prevention and control, including trade restrictions (Coetzer et al., Reference Coetzer, Thomson and Tustin1995; Holbrook, Reference Holbrook, Beaty and Marquardt1996; Meiswinkel et al., Reference Meiswinkel, Venter, Nevill, Coetzer and Tustin2004; Gibbens, Reference Gibbens2012). In Spain, bluetongue virus (BTV) is transmitted by the species from the Culicoides imicola, Obsoletus complex, Culicoides newsteadi and Culicoides pulicaris (Purse et al., Reference Purse, Mccormick, Mellor, Baylis, Boorman, Borràs, Burgu, Capela, Caracappa, Collantes, De Liberato, Delgado, Denison, Georgiev, El Harak, De La Rocque, Lhor, Lucientes, Mangana, Miranda, Nedelchev, Nomikou, Ozkul, Patakakis, Pena, Scaramozzino, Torina and Rogers2007; Wilson and Mellor, Reference Wilson and Mellor2009; Ducheyne et al., Reference Ducheyne, Miranda, Lucientes, Calvete, Estrada, Boender, Goossens, De Clercq and Hendrickx2013). The measures to stop the spread of the disease and the mortality and morbidity of livestock account for losses of several millions of euros (Rasve, 2012; Pérez de Diego et al., Reference Pérez de Diego, Sánchez-Cordón and Sánchez-Vizcaíno2014). Sheep develop the most severe clinical signs of the disease (Taylor, Reference Taylor1986; MacLachlan et al., Reference MacLachlan, Drew, Darpel and Worwa2009); however, other domestic species such as cattle as well as wild ruminants may be sub-clinically infected with BTV and act as silent reservoirs (Barnard, Reference Barnard1997) making outbreaks difficult to predict and hindering containment measures.

BT was detected for the first time in Europe in 1943 in Cyprus (Gambles, 1949). However, it was not until 1998 that the virus has been detected regularly in the southern Europe (Calvete et al., Reference Calvete, Miranda, Estrada, Borràs, Sarto i Monteys, Collantes, García de Francisco, Moreno and Lucientes2006; Barros et al., Reference Barros, Ramos, Luís, Vaz, Duarte, Henriques, Cruz and Fevereiro2007), and not until 2006 in northern Europe (Saegerman et al., Reference Saegerman, Berkvens and Mellor2008). When planning control strategies to limit BT disease in a region, it is critical to understand the basic ecology and behaviour of locally competent Culicoides vectors, such as their seasonality, breeding site requirements and environmental requirements for development (reviewed in Purse et al., Reference Purse, Carpenter, Venter, Bellis and Mullens2015).

Geographical and temporal variations in adult Culicoides vector abundance are a key component of the basic reproduction number (i.e. the seasonal vector–host ratios) that measures the likelihood of establishment of arbovirus transmission (Mellor et al., Reference Mellor, Boorman and Baylis2000). This transmission can be calculated by the number of new cases generated from a single case when a pathogen is introduced into a naïve population (Gubbins et al., Reference Gubbins, Carpenter, Baylis, Wood and Mellor2008; Brugger and Rubel, Reference Brugger and Rubel2013). In addition, seasonality of Culicoides also determines the probability that Culicoides-borne virus transmission and disease epidemics will persist between years, and is thus of key interest to health authorities (Bessell et al., Reference Bessell, Auty, Searle, Handel, Purse and de C Bronsvoort2014).

A technique called path analysis is frequently used to explore the indirect and direct effects of interacting predictor variables on dependent variables (Norman and Streiner, Reference Norman, Streiner, Norman and Streiner2003). Path analysis has been used in other studies with large herbivores in Europe and the USA (Mysterud et al., Reference Mysterud, Yoccoz, Langvatn, Pettorelli and Stenseth2008; Searle et al., Reference Searle, Rice, Anderson, Bishop and Hobbs2015) and insects like ants in Argentina (Fergnani et al., Reference Fergnani, Sackmann and Cuezzo2008) to interpret the relationship between abundance and direct and indirect environmental drivers. Since vector populations can be highly sensitive to wide ranging biotic and abiotic drivers (Purse et al., Reference Purse, Mccormick, Mellor, Baylis, Boorman, Borràs, Burgu, Capela, Caracappa, Collantes, De Liberato, Delgado, Denison, Georgiev, El Harak, De La Rocque, Lhor, Lucientes, Mangana, Miranda, Nedelchev, Nomikou, Ozkul, Patakakis, Pena, Scaramozzino, Torina and Rogers2007, Reference Purse, Carpenter, Venter, Bellis and Mullens2015), path analysis could also be useful to understand direct and indirect effects of environmental variables on vector populations, but has rarely been applied in this way.

The development, demographic and activity rates and distribution of Culicoides populations, are not only sensitive to temperature, humidity and rainfall but also to land cover and host availability (Harrup et al., Reference Harrup, Purse, Golding, Mellor and Carpenter2013; Zimmer et al., Reference Zimmer, Brostaux, Haubruge and Francis2014; Purse et al., Reference Purse, Carpenter, Venter, Bellis and Mullens2015). Aside from the impacts on development and survival and breeding site availability, environmental factors have wide ranging impacts on Culicoides populations, including on the presence, abundance and seasonality of adults (Barceló et al., Reference Barceló, Purse, Estrada, Lucientes, Miranda and Searle2021). Therefore, understanding the underlying mechanisms and drivers of these interactions is of great importance for surveillance of Culicoides populations and defining the period of risk for arbovirus transmission (Sanders et al., Reference Sanders, Shortall, Gubbins, Burgin, Gloster, Harrington, Reynolds, Mellor and Carpenter2011). When interpreting relationships between adult seasonality of Culicoides and local environmental conditions, it is important to account for the fact that adults are more likely to be trapped overall and for longer during the season in a large midge population compared to a small population, due to both sampling and environmental effects (Sanders et al., Reference Sanders, Shortall, England, Harrington, Purse, Burgin, Carpenter and Gubbins2019). Cold winters or heavy rain, for example, exert a direct effect on the adult activity period of these insects (Rawlings et al., Reference Rawlings, Capela, Pro, Ortega, Pena, Rubio, Gasca and Mellor1998; Alekseev et al., Reference Alekseev, De Stasio and Gilbert2007), and also an indirect effect via female abundance. Barceló et al. (Reference Barceló, Purse, Estrada, Lucientes, Miranda and Searle2021) already demonstrated through more traditional mixed modelling approaches, that in more abundant Culicoides populations, adult females emerge earlier, and the season lasts longer.

In the current study, we use path analysis for the first time to link changes in seasonal environmental variables and variation in phenology of adult females of Culicoides populations across sites. This is performed separately for different metrics of adult seasonality, namely the seasonal appearance, disappearance and overwinter period of the nulliparous and parous adults of the species from Obsoletus complex, C. imicola, C. newsteadi and C. pulicaris, in order to understand variation in environmental responses between these potential vector species, and between the northern species Obsoletus complex/C. pulicaris and the south-eastern species C. imicola/C. newsteadi.

Materials and methods

To explore the direct and indirect effects of environmental factors on adult Culicoides female seasonality, we selected the following seasonal metrics: start of the season, end of the season and the length of overwinter period. We implemented hierarchical Bayesian structural equation modelling (Searle et al., 2016) using data from 329 Culicoides sites in Spain, spanning the whole Iberian Peninsula and the Balearic Islands, sampled over the period 2005–2010 during the National Entomosurveillance Program for BTV, sponsored by the Spanish Ministry of Rural and Marine Environment.

As described in Barceló et al. (Reference Barceló, Purse, Estrada, Lucientes, Miranda and Searle2021), Miniature Downdraft Black light (UV) traps (John W. Hock®) were set to collect Culicoides from dusk to dawn in a weekly basis (at least 45 weeks per year). The traps were located at 1.7–2.0 m from the floor and between 1 and 30 m from the livestock of domestic animals. The trap collectors were provided with antifreeze and alcohol to prevent the samples from decaying. Samples were transported to the laboratory where they were classified by species according to Mathieu et al. (Reference Mathieu, Cêtre-Sossah, Garros, Chavernac, Balenghien, Carpenter, Setier-Rio, Vignes-Lebbe, Ung, Candolfi and Delécolle2012) taxonomic key and by gonotrophic stage (Dyce, Reference Dyce1969).

We consider the four BT-vector taxa present in Spain: C. imicola, Obsoletus complex species, C. newsteadi and C. pulicaris (Purse et al., Reference Purse, Mccormick, Mellor, Baylis, Boorman, Borràs, Burgu, Capela, Caracappa, Collantes, De Liberato, Delgado, Denison, Georgiev, El Harak, De La Rocque, Lhor, Lucientes, Mangana, Miranda, Nedelchev, Nomikou, Ozkul, Patakakis, Pena, Scaramozzino, Torina and Rogers2007; Vanbinst et al., Reference Vanbinst, Vandenbussche, Vandemeulebroucke, De Leeuw, Deblauwe, De Deken, Madder, Haubruge, Losson and De Clercq2009; Wilson and Mellor, Reference Wilson and Mellor2009; Goffredo et al., Reference Goffredo, Catalani, Federici, Portanti, Marini, Mancini, Quaglia, Santilli, Teodori and Savini2015; Foxi et al., Reference Foxi, Delrio, Falchi, Marche, Satta and Ruiu2016). The female species from Obsoletus complex, Culicoides obsoletus and Culicoides scoticus are two of the most common species in Spain (Pagès and Sarto I Monteys, Reference Pagès and Sarto I Monteys2005) and are usually identified through molecular assays (Garros et al., 2014; Harrup et al., 2015). Since molecular methods were not included in the National Surveillance Programme, C. obsoletus and C. scoticus are modelled together here as the Obsoletus complex.

A threshold of sampling effort required in particular sites each year was established to ensure only well sampled sites were included in the calculated phenology metrics and models. Site-years with at least 45 trapping weeks/year and no more than 3 consecutive weeks with no-sampling were included. Moreover, site-by-year combinations were only included in analyses if at least 2 weeks of trapping had occurred prior to the week identified as ‘start of season’ and after the week identified as ‘end of season’. We also excluded sites where species occurred at low average abundance for those taxa during one or more 2-month periods of the year. These 2-month periods were: January–February (period 1), March–April (period 2), May–June (period 3), July–August (period 4), September–October (period 5) and November–December (period 6).

The abundance thresholds that were used to define ‘low abundance’, and the start and end of seasonal activity were taxa-specific following the seasonal vector-free period (SVFP) criteria defined in Annexe V of Commission Regulation (EC) No. 1266/2007 by the European Union council: for the Obsoletus complex, C. newsteadi and C. pulicaris – using a number more than five individuals per trap catch; in contrast, for C. imicola, we used a number of more than one individual per trap catch.

To examine correlations between adult seasonality and environmental factors, we calculated the following metrics of annual abundance and seasonality for each site-by-year combination in which the above criteria had been found (Searle et al., Reference Searle, Barber, Stubbins, Labuschagne, Carpenter, Butler, Denison, Sanders, Mellor, Wilson, Nelson, Gubbins and Purse2014):

  • Start of the season: the first week of the year (Julian days) in which more than five (Obsoletus complex, C. newsteadi and C. pulicaris) or one (C. imicola) females were collected.

  • End of the season: the last week of the year (Julian days) in which more than five (Obsoletus complex, C. newsteadi and C. pulicaris) or one (C. imicola) females were caught.

  • Length of the overwinter: the difference in weeks between the end of the season in 1 year and the start of the season of the following year.

  • Mean annual female Culicoides abundance for each taxa, site and year (hereafter Culicoides female abundance).

We used hierarchical structural equation models within a Bayesian framework (Clark and Gelfand, Reference Clark and Gelfand2006). This modelling is considered suitable for this kind of analysis because it allows a series of hypothesized cause and effect relationships to be captured within a single model, estimating the magnitude of both direct and indirect (via Culicoides female abundance) effects of the independent variables on dependent variables (seasonal metrics), accounting for the random effects of site and year (Shipley, Reference Shipley2016). The independent variables were: climate (temperature and precipitation), topography (elevation and slope), land cover, host density (cattle and sheep), photoperiod in March, April, September and November and Culicoides female abundance obtained from different sources (Supp. table S1).

In the current study, these models were used to examine links between variation in the seasonal metrics of Culicoides nulliparous (NF) and parous females (PF), Culicoides female abundances and environment variables. NF are adults that have emerged from the pupal stage, but not yet taken a blood meal. PF are those that have emerged from the pupal stage and have already taken a blood meal. We distinguish between NF and PF since PF are the proportion of the population that may carry transmissible infections of BTV. Based on our understanding of the system, we developed a path analysis model for how environmental variables and female abundance directly and indirectly affect the seasonal metric for each four analysed taxa (C. imicola, Obsoletus complex, C. newsteadi and C. pulicaris) incorporating knowledge on drivers of these individual taxa from literature. The models quantified the direct effects of climate, land cover, hosts, topography and photoperiod on the seasonal metrics, and the indirect effects of all of these variables on the seasonal metrics via Culicoides female abundance (Supp. fig. S1). We did not look for indirect effects of photoperiod through female abundance because we considered that availability of daylight hours may only cause an effect on the seasonality of Culicoides species through an overcoming of insect diapause (Tauber and Tauber, Reference Tauber and Tauber1976; Isaev, Reference Isaev1985). In fact, some significant effects of photoperiod on variation in seasonality of Culicoides across sites were found in previous studies using surveillance data such as Searle et al. (Reference Searle, Blackwell, Falconer, Sullivan, Butler and Purse2013, Reference Searle, Barber, Stubbins, Labuschagne, Carpenter, Butler, Denison, Sanders, Mellor, Wilson, Nelson, Gubbins and Purse2014) while in another laboratory study this variable was not significant (Lühken et al., Reference Lühken, Steinke, Hoppe and Kiel2015).

All models were fitted using WinBUGS (Spiegelhalter et al., Reference Spiegelhalter, Thomas and Best2004) software and a Markov chain Monte Carlo procedure for each model run for 10,000 iterations after an initial burn in of 10,000 iterations to ensure convergence of all model parameters.

Results

A total of 12,321 C. imicola PF and 4226 C. imicola NF were included in the path analysis, being the most abundant and observed taxa included in the path analysis, followed by the species from the Obsoletus complex (table 1). Among all taxa, PF abundance was higher than NF and C. pulicaris was the less abundant and observed species.

Table 1. Total and average (av.) number of Culicoides caught by site from 2005 to 2010 used in the path analysis

NF, nulliparous females; PF, parous females; Obs, number of observations; SD, standard deviation.

C. imicola and the species from the Obsoletus complex were the ones with most significant environmental effects on seasonality, including topography, temperature, rainfall, agro-forestry and sclerophyllous vegetation areas, livestock density and photoperiod in autumn. Except for C. pulicaris, the timing metrics of all taxa studied showed significant effect by Culicoides female abundance. In addition, only C. imicola and Obsoletus complex species showed indirect significant effects through Culicoides female abundance.

Effects on start of the season

Accumulated degree days over 10°C in winter, the percentage of agro-forestry areas and the Culicoides female abundance showed a strong negative effect on the start of season of C. imicola NF (more than the 95% of credible intervals (CIs) for the fixed effects lower than zero) (table 2 and Supp. fig. S1A). Conversely, precipitation in spring and cattle density had a strong positive effect on the start of the season (more than the 95% of the CI for the fixed effects greater than zero). Therefore, the season of C. imicola NF tended to start earlier in sites with higher temperature during winter, higher percentage of agro-forestry areas and higher Culicoides abundance in addition to lower precipitation in spring and lower cattle density. For PF, two top models received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S5). The best model for PF start of season showed a strong negative effect of accumulated degree days in winter and Culicoides female abundance, in addition to a weak positive effect of accumulated degree days over 10°C in spring (more than the 90% of the CI for the fixed effects greater than zero) (Supp. fig. S1B). Thus, the season of C. imicola PF tended to start earlier in sites with higher temperature in winter, lower temperature in spring and higher abundance of Culicoides females. The null model received essentially no support in the data in comparison to the best models of C. imicola NF and PF (ΔDIC = 12.86 and 4.64 respectively, Supp. table S5).

Table 2. Summary of the significant environmental parameters for start of the season models of each taxa

NF, nulliparous females; PF, parous females; light grey, variables included in the best model; dark grey, variables with weak effect (90% of CI did not include zero); black, variables with strong effect (95% of CI did not include zero); (+), positive effect; (−), negative effect, (A), indirect effect via Culicoides female abundance.

For both Obsoletus complex NF and PF, elevation and photoperiod in March showed a strong positive effect on the start of the season; conversely, Culicoides female abundance had a strong negative effect also for both NF and PF (table 2 and Supp. fig. S2). Accumulated degree days over 10°C and precipitation in spring showed a strong negative effect on the start of the season for NF (Supp. fig. S2A). In addition, elevation and cattle had a strong and weak positive effect respectively through female abundance on the start of the season of NF. Regarding Obsoletus complex PF, precipitation in winter and percentage of natural-grassland areas showed a strong negative effect on the start of the season (Supp. fig. S2B). The following two top models of PF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S6). Therefore, season of Obsoletus complex NF started earlier in lower elevation sites with higher temperatures and precipitation during spring, higher abundance of Culicoides females, lower cattle density and low number of daylight hours during March. In addition, season of Obsoletus complex PF started earlier in low elevated natural-grassland sites with high precipitation during winter, higher abundance of Culicoides females and low number of daylight hours during March. The null model received essentially no support in the data in comparison to the best models of Obsoletus complex NF and PF (ΔDIC = 25.79 and 5.17 respectively, Supp. table S6).

Regarding C. newsteadi, female abundance showed a strong negative effect on the start of the season of PF (table 2 and Supp. fig. S3). Accumulated degree days over 10°C on winter and sheep livestock had a weak negative and positive effect respectively on the start of season of C. newsteadi PF. On the other hand, precipitation during winter showed a weak negative indirect effect on the season through female abundance. The following two top models of PF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S7). Therefore, sites with higher average female population, higher number of days over 10°C in winter season and lower density of sheep showed an earlier start of C. newsteadi PF season. In addition, sites with higher precipitation in winter were associated with a decrease in the abundance of C. newsteadi females causing an indirect effect on the seasonality of this species. The null model received essentially no support in the data in comparison to the best model of C. newsteadi PF (ΔDIC > 7.49, Supp. table S7). No environmental variables were included in C. newsteadi NF best path model.

Both C. pulicaris NF and PF showed that accumulated degree days over 10°C in winter had a strong negative direct effect on the start of the season for this species (table 2 and Supp. fig. S4). The following top model of NF which is the null model and the following two top models of PF received similar support in the data (ΔDIC < 2; Supp. table S8). Thus, sites with higher temperatures in winter had an earlier start of C. pulicaris season. The null model received essentially no support in the data in comparison to the best model of C. pulicaris PF (ΔDIC = 14.64, Supp. table S8).

Effects on end of the season

Elevation and sclerophyllous vegetation had strong negative effects on the end of the season for both C. imicola NF and PF season, the latter acting through female abundance (table 3 and Supp. fig. S5). Accumulated degree days over 10°C in summer showed also a strong negative effect on the end of season for NF, while Culicoides female abundance had a weak positive effect on the end of season (Supp. fig. S5A). Regarding C. imicola PF, the photoperiod in November had a strong positive effect on the end of season. The following two top models of C. imicola PF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S9). Therefore, sites with higher percentage of sclerophyllous vegetation were associated with an increase in the abundance of C. imicola females causing an indirect effect on the seasonality of this species. Then, the season of C. imicola NF were longer in lower elevation sites with sclerophyllous vegetation, lower temperatures during summer and high abundance of Culicoides females. Conversely, longer season of C. imicola PF were also related to lower elevation sites with sclerophyllous vegetation, and high number of daylight hours during November. The null model received essentially no support in the data in comparison to the best models of C. imicola PF (ΔDIC = 2.40, Supp. table S9).

Table 3. Summary of the significant environmental parameters for end of the season models of each taxa

NF, nulliparous females; PF, parous females; light grey, variables included in the best model; dark grey, variables with weak effect (90% of CI did not include zero); black, variables with strong effect (95% of CI did not include zero); (+), positive effect; (−): negative effect; (A), indirect effect via Culicoides female abundance.

Regarding the Obsoletus complex species, results showed that accumulated degree days over 10°C in summer, precipitation in autumn and elevation had a strong negative effect through Culicoides female abundance on the end of the season of Obsoletus complex NF (table 3 and Supp. fig. S6A); in addition, cattle density showed a weak negative effect through Culicoides female abundance on the end of the season of NF. Broad-leaved forest and mixed forest and Culicoides female abundance had a strong positive effect on the end of the season of Obsoletus complex NF, while cattle density had a weak positive affect on the same timing. Conversely, elevation showed a strong negative effect on the end of season of NF. The following two top models of NF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S10). Regarding Obsoletus complex PF, accumulated degree days over 10°C in autumn, cattle density and Culicoides female abundance had a strong positive effect on the end of season while the percentage of sclerophyllous vegetation showed negative effect on the same timing metric. In addition, precipitation in autumn had a weak positive effect on the end of season of PF of Obsoletus complex (Supp. fig. S6B). Thus, the season of Obsoletus complex NF was longer in low elevated broad-leaved and mixed forest areas with lower temperatures in summer, lower precipitation in autumn, lower cattle density and higher abundance of Culicoides females. Conversely, the season of Obsoletus complex PF was longer in sclerophyllous vegetation sites with higher temperatures and precipitation in autumn, higher cattle density and higher Culicoides female abundance, extending the risk of transmission of BTV to later through the year. The null model received essentially no support in the data in comparison to the best models of Obsoletus complex NF and PF (ΔDIC = 25.18 and 12.12 respectively, Supp. table S10).

The best path models for the end of season of C. newsteadi NF did not include any variables (null model). Conversely, photoperiod in September showed a weak positive effect on the end of PF season (table 3 and Supp. fig. S7). The following two top models of PF received similar support in the data, including the null model and a range of environmental covariates (ΔDIC < 2; Supp. table S11). Therefore the season of C. newsteadi PF was longer in sites with high number of daylight hours in September. However, we must conclude from these results that our analysis was unable to detect any meaningful associations between seasonality and the measured environmental variables for this species.

No environmental variables for the end of season model for both C. pulicaris NF and PF were included in the best model (tables 3, S3 and S12, null model).

Effects on overwintering

The path analysis showed that accumulated degree days over 10°C in winter had a strong positive effect through Culicoides female abundance on the length of overwinter of both C. imicola NF and PF (table 4 and Supp. fig. S8). In addition, accumulated degree days over 10°C in winter and the slope of the land showed a strong negative effect on the length of overwinter of NF (Supp. fig. S8A). Regarding C. imicola PF, sheep density a strong negative effect on the length of overwinter whereas the photoperiod in September showed a weak positive effect (Supp. fig. S8B). The following two top models of both NF and PF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S13). Therefore, sites with high slope having high temperatures in winter had shorter overwintering periods of NF. In addition, sites with high temperatures, high sheep density and low number of daylight hours during September showed shorter overwintering period of C. imicola PF, therefore, longer period of risk of BTV transmission. The null model received essentially no support in the data in comparison to the best models of C. imicola NF and PF (ΔDIC = 7.34 and 19.26 respectively, Supp. table S13).

Table 4. Summary of the significant environmental parameters for length of overwinter period of each taxa

NF, nulliparous females; PF, parous females; light grey, variables included in the best model; dark grey, variables with weak effect (90% of CI did not include zero); black, variables with strong effect (95% of CI did not include zero); (+), positive effect; (−), negative effect; (A), indirect effect via Culicoides female abundance.

Elevation and the photoperiod in November had a significant positive effect on the length of overwinter of Obsoletus complex NF (table 4 and Supp. fig. S9) meaning that the overwinter period of NF was longer in elevated sites with higher number of daylight hours during November. The null model received essentially no support in the data in comparison to the best models of Obsoletus complex NF (ΔDIC = 16.49, Supp. table S14). For PF, the best model did not include any variables (the null model); however, the following top model which included seven variables received similar support in the data (ΔDIC < 2, table S14). From these results, we must conclude that our analysis for PF was unable to detect any significant relationships between the measured environment variables and seasonality.

Female abundance had a strong negative effect on the C. newsteadi NF length of overwinter season (table 4 and Supp. fig. S10A) and a weak negative effect on the length of overwinter of PF (Supp. fig. S10B). In addition, sclerophyllous vegetation and slope had a weak negative and positive effect respectively on the length of overwinter period of NF. The second top model of NF and PF received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S15). Therefore, high female abundance was associated with a decrease in the overwintering period of both NF and PF lengthening the potential BTV transmission period. Meanwhile, sites with higher sclerophyllous vegetation areas and lower slope showed a longer period of activity of C. newsteadi NF. The null models received essentially no support in the data in comparison to the best models of C. newsteadi NF and PF (ΔDIC = 7.93 and 4.89 respectively, Supp. table S15).

Regarding C. pulicaris, photoperiod in November in addition to the precipitation in autumn had a strong and weak positive effect respectively on the C. pulicaris length of overwinter period of NF (table 4 and Supp. fig. S11A). In addition, the combination of pastures and natural grassland areas had a weak negative effect on NF abundance. The following top model of NF, which is the null model, received similar support in the data, including a range of environmental covariates (ΔDIC < 2; Supp. table S16). Therefore, sites with lower precipitation in autumn and a lower number of daylight hours during November were associated with shorter overwintering period and therefore a long period of activity of NF. Also, sites with smaller areas of pastures and natural grasslands were associated with a decrease in the number of NF as an indirect effect on the overwintering period of C. pulicaris NF. Regarding the PF, no variables of the overwintering period model showed strong or weak effects (Supp. fig. S11B). The following top models of PF ad similar support to the data, including a similar range of environmental covariates (ΔDIC < 2; Supp. table S16). The null model received essentially no support in the data in comparison to the best model of C. pulicaris PF (ΔDIC = 11.27, Supp. table S16).

To summarize, it was aforementioned that C. imicola and Obsoletus complex were the species for which most significant environmental effects on seasonality were detected, especially on the timing of the end of season. Culicoides population abundance had significant effects on seasonality of almost all of the species except C. pulicaris. The activity period of NF and PF was found to be longer in populations with high overall abundance for all the taxa studied. The other environmental variables had different effects on start, end and length of overwinter between life stages (NF or PF), especially for Obsoletus complex. In fact, the land cover only had a significant effect on the PF of this species (tables 2 and 3).

The environmental variables showed different effects on the overwinter periods between studied taxa (table 4). C. imicola overwintering was strongly affected by the slope of the land, the density of sheep and the temperature during winter whereas Obsoletus complex was affected by the elevation and the photoperiod in November. For C. newsteadi, length of overwinter was only strongly affected by the abundance of females. Meanwhile, C. pulicaris overwinter was only strongly affected by the photoperiod in November.

The indirect effects via Culicoides female abundance were mainly observed in C. imicola and Obsoletus complex. Five different variables had strong indirect effects: sclerophyllous vegetation and temperature during winter for NF and PF of C. imicola, and elevation, temperature during summer and precipitation in autumn for Obsoletus complex NF (tables 24). In addition, cattle density showed a weak indirect effect on the season of Obsoletus complex NF via Culicoides female abundance (tables 2 and 3). Conversely, precipitation in winter and the photoperiod in September had a weak significant indirect effect on the start and end of season of C. newsteadi PF via female abundance (tables 2 and 3); whereas pastures and natural grassland areas had a weak significant indirect effect on the overwinter period of C. pulicaris NF (table 4).

Discussion

This study develops a novel methods for understanding diverse environmental drivers of metrics of adult seasonality of Culicoides vector taxa in Spain that define the SVFP, used to target surveillance and animal movements in outbreak regions (Brugger and Rubel, Reference Brugger and Rubel2013; Brugger et al., Reference Brugger, Köfer and Rubel2016; Napp et al., Reference Napp, Allepuz, Purse, Casal, García-Bocanegra, Burgin and Searle2016). Larger populations may have longer adult seasons, either due to sampling effects or because the conditions that promote higher populations are those that also favour long adult activity periods. Path analysis helped us to separate environmental effects on female abundance, narrowing down which environmental variables affect seasonality directly opposed to indirectly via their action on population abundance.

Path analysis has shown for the first time the indirect effects of environmental variables on seasonality through the Culicoides female abundance. Strong indirect effects of environmental factors on seasonality, via population abundance, were detected in C. imicola NF and PF and Obsoletus complex NF. Elevation, livestock density, temperature and precipitation were all found to influence seasonality through Culicoides female abundance, highlighting the importance of using an approach like path analysis to separate direct and indirect effects of environment on overall population abundance and seasonality. Future research with richer measures of phenology (e.g. daily rather than weekly trapping), population size and environmental variability (e.g. micro-climate variation) could improve the present results.

Environmental effects were more difficult to detect across taxa on the timing of the end of the adult season, compared to the start of the season or the length of the over-winter period. In fact, L4 instar larvae of Culicoides cease diapause and continue development when temperature increases, thus synchronizing the adult emergence in spring (White et al., Reference White, Sanders, Shortall and Purse2017). Thus while the timing of the start of the season may be quite tightly linked to temperature and photoperiod that was captured in our analysis, the timing of the end of the adult season is more highly variable and sensitive to local unmeasured factors such as movement of livestock away from trap sites.

For northern species from the Obsoletus complex, path analysis showed that temperature and precipitation play an important role on the seasonality of this species. Females were detected as beginning their season earlier when temperature increases in spring, coinciding with its peak of abundance in Spain (Ortega et al., Reference Ortega, Mellor, Rawlings and Pro1998, Reference Ortega, Holbrook and Lloyd1999; Miranda et al., Reference Miranda, Rincón and Borràs2004) and consistent with the modelled population behaviour (White et al., Reference White, Sanders, Shortall and Purse2017). Higher precipitation in winter and spring may increase the moisture levels in breeding sites providing favourable development conditions for the beginning of Obsoletus complex season (Harrup et al., Reference Harrup, Purse, Golding, Mellor and Carpenter2013). Sclerophyllous vegetation had a negative effect on the seasonality of Obsoletus complex species, ending the adult season earlier, possibly because this species prefers natural grassland sites and broad leaved and mixed forests, which are common in the north of Spain (Conte et al., Reference Conte, Goffredo, Ippoliti and Meiswinkel2007; Harrup et al., Reference Harrup, Purse, Golding, Mellor and Carpenter2013). The current results showed that the number of daylight hours in March and November decreased the active season of Obsoletus complex species. The number of daylight hours seemed to be an insignificant parameter in other studies based on results from different treatments combining photoperiod and temperature for rearing Culicoides chiopterus and Culicoides dewulfi under laboratory conditions (Lühken et al., Reference Lühken, Steinke, Hoppe and Kiel2015) or studies using the photoperiod as a predictor in statistical models for C. obsoletus, C. scoticus, C. dewulfi and C. chiopterus (Searle et al., Reference Searle, Barber, Stubbins, Labuschagne, Carpenter, Butler, Denison, Sanders, Mellor, Wilson, Nelson, Gubbins and Purse2014). However, the photoperiod was an important driver for other Culicoides species like C. pulicaris (Searle et al., Reference Searle, Blackwell, Falconer, Sullivan, Butler and Purse2013). A possible explanation remains unclear but could be related to the different latitudes within the sampling sites, since Obsoletus complex species are widespread distributed across the whole country. In fact, March and November are considered cold months in Spain with lower captures of this species, probably coinciding with their overwintering period (Miranda et al., Reference Miranda, Rincón and Borràs2004; Cuéllar et al., Reference Cuéllar, Kjær, Baum, Stockmarr, Skovgard, Nielsen, Andersson, Lindström, Chirico, Lühken, Steinke, Kiel, Gethmann, Conraths, Larska, Smreczak, Orlowska, Hammes, Sviland, Hopp, Brugger, Rubel, Balenghien, Garros, Rokotoarivony, Allène, Lhoir, Chavernac, Delécolle, Mathieu, Delécolle, Setier-Rio, Venail, Scheid, Miranda, Barceló, Lucientes, Estrada, Mathis, Tack and Bødker2018a, Reference Cuellar, Kjær, Kirkeby, Skovgard, Nielsen, Stockmarr, Anderson, Lindstrom, Chirico, Lühken, Steinke, Kiel, Gethmann, Conraths, Larska, Hamnes, Sviland, Hopp, Brugger, Rubel, Balenghien, Garros, Rakotoarivony, Allène, Lhoir, Chavernac, Delécolle, Mathieu, Delécolle, Setier-Rio, Venail, Scheid, Miranda, Barceló, Lucientes, Estrada, Mathis, Tack and Bødker2018b; Barceló et al., Reference Barceló, Estrada, Lucientes and Miranda2020).

Our finding that Obsoletus complex species had longer periods of activity in lower elevation sites is consistent with prior studies (Capela et al., Reference Capela, Purse, Pena, Wittman, Margarita, Capela, Romão, Mellor and Baylis2003; Torina et al., Reference Torina, Caracappa, Mellor, Baylis and Purse2004; Conte et al., Reference Conte, Goffredo, Ippoliti and Meiswinkel2007). Further the finding that Obsoletus complex adult activity periods were longer in sites with high cattle livestock is consistent with this species abundance in livestock farms and mammalophilic behaviour (Talavera et al., Reference Talavera, Muñoz-Muñoz, Durán, Verdún, Soler-Membrives, Oleaga, Arenas, Ruiz-Fons, Estrada and Pagès2015). The Obsoletus complex includes five different species that may have different biotic and abiotic requirements. Further studies including molecular methods to determine the species from the Obsoletus complex must be considered to link environmental parameters to species-level adult phenology (Searle et al., Reference Searle, Barber, Stubbins, Labuschagne, Carpenter, Butler, Denison, Sanders, Mellor, Wilson, Nelson, Gubbins and Purse2014).

Consistent with prior studies, it was more difficult to detect significant environmental effects on seasonality of the other northern species C. pulicaris, aside from the relationship between high winter temperature and an earlier start of the adult season and between photoperiod and the length of the overwinter period. The finding that the length of the adult activity period of NF C. pulicaris is longer in sites with high precipitation during autumn is consistent with previous studies that found positive effects of this variable on the abundance and seasonality of C. pulicaris (Purse et al., Reference Purse, Baylis, Tatem, Rogers, Mellor, Van Ham, Chizov-Ginzburg and Braverman2004a; Ducheyne et al., Reference Ducheyne, Miranda, Lucientes, Calvete, Estrada, Boender, Goossens, De Clercq and Hendrickx2013; Searle et al., Reference Searle, Blackwell, Falconer, Sullivan, Butler and Purse2013).

Regarding the southern species, our finding that the seasonality of C. imicola was sensitive to temperature, altitude, land cover and photoperiod is consistent with prior studies (Acevedo et al., Reference Acevedo, Ruiz-Fons, Estrada, Márquez, Miranda, Gortázar and Lucientes2010). The current study indicated that higher temperatures in winter and lower temperatures during summer prolonged the activity period of this species, aligning with prior findings; C. imicola is more abundant in sites with lower altitudes and extensive plains (Conte et al., Reference Conte, Giovannini, Savini, Goffredo, Calistri and Meiswinkel2003, Reference Conte, Goffredo, Ippoliti and Meiswinkel2007; Torina et al., Reference Torina, Caracappa, Mellor, Baylis and Purse2004). The path analysis indicated the potential importance of land cover for adult seasonality. Contrasting with the Obsoletus complex species, cover of sclerophyllous vegetation indirectly affected seasonality by increasing of Culicoides female abundance during the end of season of this species, possibly linking to this species preference for drier grassland areas in south Europe (Mellor and Pitzolis, Reference Mellor and Pitzolis1979; Acevedo et al., Reference Acevedo, Ruiz-Fons, Estrada, Márquez, Miranda, Gortázar and Lucientes2010; Peters et al., Reference Peters, Conte, Van Doninck, Verhoest, De Clercq, Goffredo, De Baets, Hendrickx and Ducheyne2014). In fact, NF seasonality of that species seems to be negatively affected when the cattle density increases, and the overwintering of PF was shorter in sites with higher sheep abundance. This phenomenon was possibly because of competition with adult traps or because blood meals will be more widely available and NF will be more likely to develop into PF. Otherwise, the period of adult activity of C. imicola was negatively affected by the precipitation in spring, probably due to the lower density of this species during those seasons and preference for dry substrates of the immature stages (Conte et al., Reference Conte, Goffredo, Ippoliti and Meiswinkel2007; Foxi and Del Rio, Reference Foxi and Del Rio2010). Finally, longer PF seasons in sites with longer days in November are aligned with the peak of abundance of this species in autumn (Ortega et al., Reference Ortega, Holbrook and Lloyd1999; Miranda et al., Reference Miranda, Rincón and Borràs2004; Grimaud et al., Reference Grimaud, Guis, Chiroleu, Boucher, Tran, Rakotoarivony, Duhayon, Cêtre-Sossah, Esnault, Cardinale and Garros2019; Barceló et al., Reference Barceló, Purse, Estrada, Lucientes, Miranda and Searle2021); therefore, a longer period of risk of transmission of BTV during this season.

Regarding C. newsteadi, results showed that this species was strongly affected by the abundance of females and, with weak effects, the climate, topography, land cover, photoperiod and livestock. The path analysis suggested that sites with lower slopes had shorter overwinter period, similar than results recorded by Torina et al. (Reference Torina, Caracappa, Mellor, Baylis and Purse2004) where, as well as C. imicola and Obsoletus complex species, C. newsteadi was more abundant in sites with low altitude. The temperature during winter was important for PF of this species which usually appear during seasons with high minimum temperatures, consistent with previous studies that have found a positive effect of high winter temperatures on abundance (Ortega et al., Reference Ortega, Holbrook and Lloyd1999; Purse et al., Reference Purse, Baylis, Tatem, Rogers, Mellor, Van Ham, Chizov-Ginzburg and Braverman2004a). In fact, path analysis results showed that high precipitation in winter had an indirect weak negative effect via female abundance on the start of the season of C. newsteadi NF, coinciding with the dry preferences of the south-western species (Ducheyne et al., Reference Ducheyne, Miranda, Lucientes, Calvete, Estrada, Boender, Goossens, De Clercq and Hendrickx2013). The short overwinter period of C. newsteadi NF on sclerophyllous vegetation could be related to the distribution of this species. As well as C. imicola, higher abundance of C. newsteadi occurs in warmer locations of the south and east of Spain (Ortega et al., Reference Ortega, Holbrook and Lloyd1999; Del Río et al., Reference Del Río, Monerris, Miquel, Borràs, Calvete, Estrada, Lucientes and Miranda2013; Ducheyne et al., Reference Ducheyne, Miranda, Lucientes, Calvete, Estrada, Boender, Goossens, De Clercq and Hendrickx2013), where sclerophyllous vegetation is the aforementioned most common type of vegetation in dry and warm climates such as in the Mediterranean basin. Livestock also played an important role. The season of C. newsteadi PF started later in sites with higher sheep densities. This result was unexpected since C. newsteadi prefers sheep as a host (Garros et al., Reference Garros, Gardes and Allene2011; Calvo et al., Reference Calvo, Berzal, Calvete, Miranda, Estrada and Lucientes2012; Martínez-de la Puente et al., Reference Martínez-de la Puente, Figuerola and Soriguer2015; Slama et al., Reference Slama, Haouas, Mezhoud, Babba and Chaker2015) and early stages of this species breed in sheep livestock holdings (Foxi and Del Rio, Reference Foxi and Del Rio2010; González et al., Reference González, López, Mullens, Baldet and Goldarazena2013). In fact, this result was contradictory to previous studies where C. newsteadi total females started earlier in sites with higher density of sheep (Barceló et al., Reference Barceló, Purse, Estrada, Lucientes, Miranda and Searle2021). A possible explanation was unclear but could probably be related to the distribution of the midges and the livestock across Spain. The number of daylight hours in September increases the abundance of Culicoides females during the end of season of PF of this species. This result was probably related to the coincidence of higher abundance of C. newsteadi PF during summer and autumn (Barceló et al., Reference Barceló, Estrada, Lucientes and Miranda2020). Best models for both NF of C. newsteadi start and end of season did not include any variables, suggesting that other environmental drivers that other variables such as Land Surface Temperature (LST), Enhanced Vegetation Index (EVI) (Purse et al., Reference Purse, Falconer, Sullivan, Carpenter, Mellor, Piertney, Mordue-Luntz, Albon, Gunn and Blackwell2012) or also other remotely sensed imagery data e.g. the normalized difference vegetation index, the middle infra-red reflectance of the land cover and the air temperature a few metres above ground (Purse et al., Reference Purse, Baylis, Tatem, Rogers, Mellor, Van Ham, Chizov-Ginzburg and Braverman2004a, Reference Purse, Tatem, Caracappa, Rogers, Mellor, Baylis and Torina2004b) must be considered in order to point out the role of the environmental effects on the phenology and abundance of PF of this species.

This study provides a generalizable path analysis framework for understanding how environmental drivers modulate the seasonality and the abundance of Culicoides vector species in Spain. It has been demonstrated that the different Culicoides species respond to different environmental variables dependent upon their biological requirements, latitudinal distribution and life stage (NF or PF). Therefore, the significant environmental drivers should be included in the determination of the SVFP of these species.

New unmeasured variables like availability of breeding sites, air temperature and moisture levels within micro-climates for Culicoides (Mullens et al., Reference Mullens, Gerry, Lysyk and Schmidtmann2004) or the aforementioned could be integrated into a more nuanced understanding of direct and indirect environmental impacts on adult Culicoides phenology and statistical approaches can be combined with other empirical lab and field studies (e.g. studies of Culicoides early stages, substrates for oviposition or adult attraction by traps) and mechanistic population modelling approaches (White et al., Reference White, Sanders, Shortall and Purse2017) in order to provide a holistic understanding of seasonal regulation of insect vector populations.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0007485323000068

Acknowledgements

The authors want to thank the farm owners for allowing them to set traps for sampling in their farms. Many thanks for the data provided by the Ministerio de Agricultura, Pesca y Alimentación. This study was realized in agreement with grant serial number 261504 from EDENext project, Biology and control of vector-borne infections in Europe, funded by the European Union.

Conflict of interest

The authors declare none.

References

Acevedo, P, Ruiz-Fons, F, Estrada, R, Márquez, AL, Miranda, MA, Gortázar, C and Lucientes, J (2010) A broad assessment of factors determining Culicoides imicola abundance: modelling the present and forecasting its future in climate change scenarios. PLoS ONE 5, e14236.10.1371/journal.pone.0014236CrossRefGoogle ScholarPubMed
Alekseev, VR, De Stasio, B and Gilbert, JJ (eds) (2007) Diapause in Aquatic Invertebrates: Theory and Human Use. Monographiae Biologicae 84. Switzerland: Springer Science & Business Media.10.1007/978-1-4020-5680-2CrossRefGoogle Scholar
Barceló, C, Estrada, R, Lucientes, J and Miranda, MA (2020) A Mondrian matrix of seasonal patterns of Culicoides nulliparous and parous females at different latitudes in Spain. Research in Veterinary Science 129, 154163.10.1016/j.rvsc.2020.01.017CrossRefGoogle ScholarPubMed
Barceló, C, Purse, BV, Estrada, R, Lucientes, J, Miranda, MA and Searle, KR (2021) Environmental drivers of adult seasonality and abundance of biting midges Culicoides (Diptera: Ceratopogonidae), bluetongue vector species in Spain. Journal of Medical Entomology 58, 350364.Google ScholarPubMed
Barnard, BJH (1997) Some factors governing the entry of Culicoides spp. (Diptera : Ceratopogonidae) into stables. Onderstepoort Journal of Veterinary Research 64, 227233.Google ScholarPubMed
Barros, SC, Ramos, F, Luís, TM, Vaz, A, Duarte, M, Henriques, M, Cruz, B and Fevereiro, M (2007) Molecular epidemiology of bluetongue virus in Portugal during 2004–2006 outbreak. Veterinary Microbiology 124, 2534.10.1016/j.vetmic.2007.04.014CrossRefGoogle ScholarPubMed
Bessell, PR, Auty, HK, Searle, KR, Handel, IG, Purse, BV and de C Bronsvoort, BM (2014) Impact of temperature, feeding preference and vaccination on Schmallenberg virus transmission in Scotland. Scientific Reports 4, 110.10.1038/srep05746CrossRefGoogle ScholarPubMed
Brugger, K and Rubel, F (2013) Bluetongue disease risk assessment based on observed and projected Culicoides obsoletus spp. vector densities. PLoS ONE 8, e60330.10.1371/journal.pone.0060330CrossRefGoogle ScholarPubMed
Brugger, K, Köfer, J and Rubel, F (2016) Outdoor and indoor monitoring of livestock-associated Culicoides spp. to assess vector-free periods and disease risks. Veterinary Research 12, 19.Google ScholarPubMed
Calvete, C, Miranda, MA, Estrada, R, Borràs, D, Sarto i Monteys, V, Collantes, F, García de Francisco, JM, Moreno, N and Lucientes, J (2006) Spatial distribution of Culicoides imicola, the main vector of bluetongue virus, in Spain. The Veterinary Record 158, 130.10.1136/vr.158.4.130CrossRefGoogle ScholarPubMed
Calvo, J, Berzal, B, Calvete, C, Miranda, MA, Estrada, R and Lucientes, J (2012) Host feeding patterns of Culicoides species (Diptera: Ceratopogonidae) within the Picos de Europa National Park in northern Spain. Bulletin of Entomological Research 102, 692697.10.1017/S0007485312000284CrossRefGoogle ScholarPubMed
Capela, R, Purse, BV, Pena, I, Wittman, EJ, Margarita, Y, Capela, M, Romão, L, Mellor, PS and Baylis, M (2003) Spatial distribution of Culicoides species in Portugal in relation to the transmission of African Horse sickness and bluetongue viruses. Medical and Veterinary Entomology 17, 165177.10.1046/j.1365-2915.2003.00419.xCrossRefGoogle Scholar
Clark, JS and Gelfand, AE (2006) Hierarchical Modelling for the Environmental Sciences. Oxford, UK: Oxford University Press.Google Scholar
Coetzer, JAW, Thomson, GR and Tustin, RC (1995) Infectious diseases of livestock with special reference to southern Africa. Journal of the South African Veterinary Association 66, 106.Google Scholar
Conte, A, Giovannini, A, Savini, L, Goffredo, M, Calistri, P and Meiswinkel, R (2003) The effect of climate on the presence of Culicoides imicola in Italy. Journal of Veterinary Medicine, Series B 50, 139147.10.1046/j.1439-0450.2003.00632.xCrossRefGoogle ScholarPubMed
Conte, A, Goffredo, M, Ippoliti, C and Meiswinkel, R (2007) Influence of biotic and abiotic factors on the distribution and abundance of Culicoides imicola and the Obsoletus complex in Italy. Veterinary Parasitology 150, 333344.10.1016/j.vetpar.2007.09.021CrossRefGoogle ScholarPubMed
Cuéllar, AC, Kjær, LJ, Baum, A, Stockmarr, A, Skovgard, H, Nielsen, SA, Andersson, MG, Lindström, A, Chirico, J, Lühken, R, Steinke, S, Kiel, E, Gethmann, J, Conraths, FJ, Larska, M, Smreczak, M, Orlowska, A, Hammes, I, Sviland, S, Hopp, P, Brugger, K, Rubel, F, Balenghien, T, Garros, C, Rokotoarivony, I, Allène, X, Lhoir, J, Chavernac, D, Delécolle, JC, Mathieu, B, Delécolle, D, Setier-Rio, ML, Venail, R, Scheid, B, Miranda, MA, Barceló, C, Lucientes, J, Estrada, R, Mathis, A, Tack, W and Bødker, A (2018a) Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance. Parasites & Vectors 11, 608.10.1186/s13071-018-3182-0CrossRefGoogle ScholarPubMed
Cuellar, AC, Kjær, LJ, Kirkeby, C, Skovgard, H, Nielsen, SA, Stockmarr, A, Anderson, G, Lindstrom, A, Chirico, J, Lühken, R, Steinke, S, Kiel, E, Gethmann, J, Conraths, FJ, Larska, M, Hamnes, I, Sviland, S, Hopp, P, Brugger, K, Rubel, F, Balenghien, T, Garros, C, Rakotoarivony, I, Allène, X, Lhoir, J, Chavernac, D, Delécolle, JC, Mathieu, B, Delécolle, D, Setier-Rio, ML, Venail, R, Scheid, B, Miranda, MA, Barceló, C, Lucientes, J, Estrada, R, Mathis, A, Tack, W and Bødker, R (2018b) Spatial and temporal variation in the abundance of Culicoides biting midges (Diptera: Ceratopogonidae) in nine European countries. Parasites & Vectors 11, 112.10.1186/s13071-018-2706-yCrossRefGoogle ScholarPubMed
Del Río, R, Monerris, M, Miquel, M, Borràs, D, Calvete, C, Estrada, R, Lucientes, J and Miranda, MA (2013) Collection of Culicoides spp. with four light trap models during different seasons in the Balearic Islands. Veterinary Parasitology 195, 150156.10.1016/j.vetpar.2013.02.015CrossRefGoogle ScholarPubMed
Ducheyne, E, Miranda, MA, Lucientes, J, Calvete, C, Estrada, R, Boender, GJ, Goossens, E, De Clercq, EM and Hendrickx, G (2013) Abundance modelling of invasive and indigenous Culicoides species in Spain. Geospatial Health 8, 241254.10.4081/gh.2013.70CrossRefGoogle ScholarPubMed
Dyce, AL (1969) The recognition of nulliparous and parous Culicoides (Diptera: Ceratopogonidae) without dissection. Australian Journal of Entomology 8, 1115.10.1111/j.1440-6055.1969.tb00727.xCrossRefGoogle Scholar
Fergnani, P, Sackmann, P and Cuezzo, F (2008) Environmental determinants of the distribution and abundance of the ants, Lasiophanes picinus and L. valdiviensis, in Argentina. Journal of Insect Science 8, 116.10.1673/031.008.3601CrossRefGoogle Scholar
Foxi, C and Del Rio, G (2010) Larval habitats and seasonal abundance of Culicoides biting midges found in association with sheep in northern Sardinia, Italy. Medical and Veterinary Entomology 24, 199209.10.1111/j.1365-2915.2010.00861.xCrossRefGoogle ScholarPubMed
Foxi, C, Delrio, G, Falchi, G, Marche, MG, Satta, G and Ruiu, L (2016) Role of different Culicoides vectors (Diptera: Ceratopogonidae) in bluetongue virus transmission and overwintering in Sardinia (Italy). Parasites & Vectors 9, 440.10.1186/s13071-016-1733-9CrossRefGoogle ScholarPubMed
Garros, C, Gardes, L and Allene, X (2011) Adaptation of a species-specific multiplex PCR assay for the identification of blood meal source in Culicoides (Ceratopogonidae: Diptera): applications on Palaearctic. Infection, Genetics and Evolution 11, 11031110.10.1016/j.meegid.2011.04.002CrossRefGoogle ScholarPubMed
Gibbens, N (2012) Schmallenberg virus: a novel viral disease in northern Europe. The Veterinary Record 170, 58.10.1136/vr.e292CrossRefGoogle Scholar
Goffredo, M, Catalani, M, Federici, V, Portanti, O, Marini, V, Mancini, G, Quaglia, M, Santilli, A, Teodori, L and Savini, G (2015) Vector species of Culicoides midges implicated in the 2012–2014 bluetongue epidemics in Italy. Veterinaria Italiana 51, 131138.Google ScholarPubMed
González, M, López, S, Mullens, BA, Baldet, T and Goldarazena, A (2013) A survey of Culicoides developmental sites on a farm in northern Spain, with a brief review of immature habitats of European species. Veterinary Parasitology 191, 8193.10.1016/j.vetpar.2012.08.025CrossRefGoogle ScholarPubMed
Grimaud, Y, Guis, H, Chiroleu, F, Boucher, F, Tran, A, Rakotoarivony, I, Duhayon, M, Cêtre-Sossah, C, Esnault, O, Cardinale, E and Garros, C (2019) Modelling temporal dynamics of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean), vectors of viruses of veterinary importance. Parasites & vectors 12, 117.10.1186/s13071-019-3812-1CrossRefGoogle ScholarPubMed
Gubbins, S, Carpenter, S, Baylis, M, Wood, JL and Mellor, PS (2008) Assessing the risk of bluetongue to UK livestock: uncertainty and sensitivity analyses of a temperature-dependent model for the basic reproduction number. Journal of the Royal Society Interface 5, 363371.10.1098/rsif.2007.1110CrossRefGoogle Scholar
Harrup, LE, Purse, BV, Golding, N, Mellor, PS and Carpenter, S (2013) Larval development and emergence sites of farm-associated Culicoides in the United Kingdom. Medical and Veterinary Entomology 27, 441449.10.1111/mve.12006CrossRefGoogle ScholarPubMed
Holbrook, FR (1996) Biting midges and the agents they transmit. In Beaty, BJ and Marquardt, WS (eds), The Biology of Disease Vectors. Niwot: University Press of Colorado, pp. 110116.Google Scholar
Isaev, V (1985) Effect of external factors on the development and overcoming of diapause in larvae of Culicoides odibilis Austen (Diptera, Ceratopogonidae). Agricultural Systems, USA. Available at http://agris.fao.org/agris-search/search.do?recordID=US201300602301.Google Scholar
Lühken, R, Steinke, S, Hoppe, N and Kiel, E (2015) Effects of temperature and photoperiod on the development of overwintering immature Culicoides chiopterus and C. dewulfi. Veterinary Parasitology 214, 195199.10.1016/j.vetpar.2015.10.001CrossRefGoogle ScholarPubMed
MacLachlan, NJ, Drew, CP, Darpel, KE and Worwa, G (2009) The pathology and pathogenesis of bluetongue. Journal of Comparative Pathology 141, 116.CrossRefGoogle ScholarPubMed
Martínez-de la Puente, J, Figuerola, J and Soriguer, R (2015) Fur or feather? Feeding preferences of species of Culicoides biting midges in Europe. Trends in Parasitology 31, 17.10.1016/j.pt.2014.11.002CrossRefGoogle ScholarPubMed
Mathieu, B, Cêtre-Sossah, C, Garros, C, Chavernac, D, Balenghien, T, Carpenter, S, Setier-Rio, ML, Vignes-Lebbe, R, Ung, V, Candolfi, E and Delécolle, J (2012) Development and validation of IIKC: an interactive identification key for Culicoides (Diptera: Ceratopogonidae) females from the western Palaearctic region. Parasites & Vectors 5, 111.10.1186/1756-3305-5-137CrossRefGoogle ScholarPubMed
Meiswinkel, R, Venter, GJ and Nevill, EM (2004) Vectors: Culicoides spp. In Coetzer, JAW and Tustin, RC (eds), Infectious Diseases of Livestock, vol. 1, 2nd Edn. Oxford, UK: Oxford University Press, pp. 93136.Google Scholar
Mellor, PS and Pitzolis, G (1979) Observations on breeding sites and light-trap collections of Culicoides during an outbreak of bluetongue in Cyprus. Bulletin of Entomological Research 69, 229234.CrossRefGoogle Scholar
Mellor, PS, Boorman, J and Baylis, M (2000) Culicoides biting midges: their role as arbovirus vectors. Annual Review of Entomology 45, 307340.10.1146/annurev.ento.45.1.307CrossRefGoogle ScholarPubMed
Miranda, MA, Rincón, C and Borràs, D (2004) Seasonal abundance of Culicoides imicola and C. obsoletus in the Balearic Islands. Veterinaria Italiana 40, 292295.Google Scholar
Mullens, BA, Gerry, AC, Lysyk, TJ and Schmidtmann, ET (2004) Environmental effects on vector competence and virogenesis of bluetongue virus in Culicoides: interpreting laboratory data in a field context. Veterinaria Italiana 40, 160166.Google Scholar
Mysterud, A, Yoccoz, NG, Langvatn, R, Pettorelli, N and Stenseth, NC (2008) Hierarchical path analysis of deer responses to direct and indirect effects of climate in northern forest. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363, 23592368.Google ScholarPubMed
Napp, S, Allepuz, A, Purse, BV, Casal, J, García-Bocanegra, I, Burgin, LE and Searle, KR (2016) Understanding spatio-temporal variability in the reproduction ratio of the bluetongue (BTV-1) epidemic in southern Spain (Andalusia) in 2007 using epidemic trees. PLoS ONE 11, e0151151.10.1371/journal.pone.0151151CrossRefGoogle ScholarPubMed
Norman, GR and Streiner, D (2003) Chapter 17: Path analysis and structural equation modeling. In Norman, GR and Streiner, D (eds), PDQ Statistics, 3rd Edn. London: BC Decker Inc, pp. 211228.Google Scholar
Ortega, MD, Mellor, PS, Rawlings, P and Pro, MJ (1998) The seasonal and geographical distribution of Culicoides imicola, C. pulicaris group and C. obsoletus group biting midges in central and southern Spain. Archives of Virology. Supplement 14, 8591.Google Scholar
Ortega, MD, Holbrook, FR and Lloyd, JE (1999) Seasonal distribution and relationship to temperature and precipitation of the most abundant species of Culicoides in five provinces of Andalusia, Spain. Journal of the American Mosquito Control Association-Mosquito News 15, 391399.Google ScholarPubMed
Pagès, N and Sarto I Monteys, V (2005) Differentiation of Culicoides obsoletus and Culicoides scoticus (Diptera: Ceratopogonidae) based on mitochondrial cytochrome oxidase subunit I. Journal of Medical Entomology 42, 10261034.10.1093/jmedent/42.6.1026CrossRefGoogle ScholarPubMed
Pérez de Diego, AC, Sánchez-Cordón, PJ and Sánchez-Vizcaíno, JM (2014) Bluetongue in Spain: from the first outbreak to 2012. Transboundary and Emerging Diseases 61, e1e11.CrossRefGoogle Scholar
Peters, J, Conte, A, Van Doninck, J, Verhoest, NE, De Clercq, E, Goffredo, M, De Baets, B, Hendrickx, G and Ducheyne, E (2014) On the relation between soil moisture dynamics and the geographical distribution of Culicoides imicola. Ecohydrology: Ecosystems, Land and Water Process Interactions, Ecohydrogeomorphology 7, 622632.CrossRefGoogle Scholar
Purse, BV, Baylis, M, Tatem, AJ, Rogers, DJ, Mellor, PS, Van Ham, M, Chizov-Ginzburg, A and Braverman, Y (2004a) Predicting the risk of bluetongue through time: climate models of temporal patterns of outbreaks in Israel. Revue Scientifique et Technique 23, 761775.CrossRefGoogle ScholarPubMed
Purse, BV, Tatem, AJ, Caracappa, S, Rogers, DJ, Mellor, PS, Baylis, M and Torina, A (2004b) Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite-derived climate variables. Medical and Veterinary Entomology 18, 112.CrossRefGoogle ScholarPubMed
Purse, BV, Mccormick, BJJ, Mellor, PS, Baylis, M, Boorman, JPT, Borràs, D, Burgu, I, Capela, R, Caracappa, S, Collantes, F, De Liberato, C, Delgado, JA, Denison, E, Georgiev, G, El Harak, M, De La Rocque, S, Lhor, Y, Lucientes, J, Mangana, O, Miranda, MA, Nedelchev, N, Nomikou, K, Ozkul, A, Patakakis, M, Pena, I, Scaramozzino, P, Torina, A and Rogers, DJ (2007) Incriminating bluetongue virus vectors with climate envelope models. Journal of Applied Ecology 44, 12311242.10.1111/j.1365-2664.2007.01342.xCrossRefGoogle Scholar
Purse, BV, Falconer, D, Sullivan, MJ, Carpenter, S, Mellor, PS, Piertney, SB, Mordue-Luntz, AJ, Albon, S, Gunn, GJ and Blackwell, A (2012) Impacts of climate, host and landscape factors on Culicoides species in Scotland. Medical and Veterinary Entomology 26, 168177.CrossRefGoogle ScholarPubMed
Purse, BV, Carpenter, S, Venter, GJ, Bellis, G and Mullens, BA (2015) Bionomics of temperate and tropical Culicoides midges: knowledge gaps and consequences for transmission of Culicoides-borne viruses. Annual Review of Entomology 60, 373392.CrossRefGoogle ScholarPubMed
RASVE (Red de Alerta Sanitaria Veterinaria) (2012) Spanish Ministry of the Environment and Rural and Marine Affairs. Available at http://rasve.mapa.es/RASVE_2005/ Publica/ RASVE_ NET_2005/ Rasve. Presentacion/ Modulo. Focos/Consultar_Focos.aspx (Accessed January 2012).Google Scholar
Rawlings, P, Capela, R, Pro, MJ, Ortega, MD, Pena, I, Rubio, C, Gasca, A and Mellor, PS (1998) The relationship between climate and the distribution of Culicoides imicola in Iberia. Archives of Virology. Supplementum 14, 93102.Google ScholarPubMed
Saegerman, C, Berkvens, D and Mellor, PS (2008) Bluetongue epidemiology in the European Union. Emerging Infectious Diseases 14, 539.CrossRefGoogle ScholarPubMed
Sanders, CJ, Shortall, CR, Gubbins, S, Burgin, L, Gloster, J, Harrington, R, Reynolds, DR, Mellor, PS and Carpenter, S (2011) Influence of season and meteorological parameters on flight activity of Culicoides biting midges. Journal of Applied Ecology 48, 13551364.CrossRefGoogle Scholar
Sanders, CJ, Shortall, CR, England, M, Harrington, R, Purse, B, Burgin, L, Carpenter, S and Gubbins, S (2019) Long-term shifts in the seasonal abundance of adult Culicoides biting midges and their impact on potential arbovirus outbreaks. Journal of Applied Ecology 56, 16491660.10.1111/1365-2664.13415CrossRefGoogle ScholarPubMed
Searle, KR, Blackwell, A, Falconer, D, Sullivan, M, Butler, A and Purse, BV (2013) Identifying environmental drivers of insect phenology across space and time: Culicoides in Scotland as a case study. Bulletin of Entomological Research 103, 155170.CrossRefGoogle ScholarPubMed
Searle, KR, Barber, J, Stubbins, F, Labuschagne, K, Carpenter, S, Butler, A, Denison, E, Sanders, C, Mellor, PS, Wilson, A, Nelson, N, Gubbins, S and Purse, BV (2014) Environmental drivers of Culicoides phenology : how important is species-specific variation when determining disease policy? PLoS ONE 9, e111876.10.1371/journal.pone.0111876CrossRefGoogle ScholarPubMed
Searle, KR, Rice, MB, Anderson, CR, Bishop, C and Hobbs, NT (2015) Asynchronous vegetation phenology enhances winter body condition of a large mobile herbivore. Oecologia 179, 377391.CrossRefGoogle ScholarPubMed
Shipley, B (2016) Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Slama, D, Haouas, N, Mezhoud, H, Babba, H and Chaker, E (2015) Blood meal analysis of Culicoides (Diptera: Ceratopogonidae) in central Tunisia. PLoS ONE 10, e0120528.CrossRefGoogle ScholarPubMed
Spiegelhalter, D, Thomas, A and Best, N (2004) WinBUGS version 1.4.1 User Manual. Cambridge, England: MRC Biostatistics Unit. Available at http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/.Google Scholar
Talavera, S, Muñoz-Muñoz, F, Durán, M, Verdún, M, Soler-Membrives, A, Oleaga, Á, Arenas, A, Ruiz-Fons, F, Estrada, R and Pagès, N (2015) Culicoides species communities associated with wild ruminant ecosystems in Spain: tracking the way to determine potential bridge vectors for arboviruses. PLoS ONE 10, e0141667.10.1371/journal.pone.0141667CrossRefGoogle ScholarPubMed
Tauber, MJ and Tauber, CA (1976) Insect seasonality: diapause maintenance, termination, and postdiapause development. Annual Review of Entomology 21, 81107.CrossRefGoogle Scholar
Taylor, WP (1986) The epidemiology of bluetongue. Revue scientifique et technique 5, 351356.CrossRefGoogle ScholarPubMed
Torina, A, Caracappa, S, Mellor, PS, Baylis, M and Purse, BV (2004) Spatial distribution of Bluetongue virus and its Culicoides vectors in Sicily. Medical and Veterinary Entomology 18, 8189.CrossRefGoogle ScholarPubMed
Vanbinst, T, Vandenbussche, F, Vandemeulebroucke, E, De Leeuw, I, Deblauwe, I, De Deken, G, Madder, M, Haubruge, E, Losson, B and De Clercq, K (2009) Bluetongue virus detection by real-time RT-PCR in Culicoides captured during the 2006 epizootic in Belgium and development of an internal control. Transboundary of Emerging Diseases 56, 170177.CrossRefGoogle ScholarPubMed
White, SM, Sanders, CJ, Shortall, CR and Purse, BV (2017) Mechanistic model for predicting the seasonal abundance of Culicoides biting midges and the impacts of insecticide control. Parasites & Vectors 10, 114.CrossRefGoogle ScholarPubMed
Wilson, AJ and Mellor, PS (2009) Bluetongue in Europe: past, present and future. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 364, 26692681.CrossRefGoogle ScholarPubMed
Zimmer, JY, Brostaux, Y, Haubruge, E and Francis, F (2014) Larval development sites of the main Culicoides species (Diptera: Ceratopogonidae) in northern Europe and distribution of coprophilic species larvae in Belgian pastures. Veterinary Parasitology 205, 676686.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Total and average (av.) number of Culicoides caught by site from 2005 to 2010 used in the path analysis

Figure 1

Table 2. Summary of the significant environmental parameters for start of the season models of each taxa

Figure 2

Table 3. Summary of the significant environmental parameters for end of the season models of each taxa

Figure 3

Table 4. Summary of the significant environmental parameters for length of overwinter period of each taxa

Supplementary material: File

Barceló et al. supplementary material

Figures S1-S11 and Tables S1-S16

Download Barceló et al. supplementary material(File)
File 2.4 MB