Full text
72,886 characters
· extracted from
preprint-html
· click to expand
Seasonal and hourly diversity patterns of anthropophagous female mosquito species in a semi-conserved area at the southern Mexico | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Seasonal and hourly diversity patterns of anthropophagous female mosquito species in a semi-conserved area at the southern Mexico View ORCID Profile Julio César Canales-Delgadillo , Nallely Vázquez-Pérez , Vicente Viveros-Santos , Rosela Pérez-Ceballos , José Gilberto Cardoso-Mohedano , Arturo Zaldívar-Jiménez , Omar Celis-Hernández , Alejandro Gómez-Ponce , Martín Merino-Ibarra doi: https://doi.org/10.1101/2024.06.25.600586 Julio César Canales-Delgadillo 1 Investigadoras e Investigadores por México, Consejo Nacional de Humanidades Ciencia y Tenologías (CONAHCyT) , CDMX, México 2 Instituto de Ciencias del Mar y Limnología UNAM , Estación El Carmen. Ciudad del Carmen, Campeche, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Julio César Canales-Delgadillo For correspondence: jccanalesde{at}conahcyt.mx Nallely Vázquez-Pérez 3 Centro de Estudios Tecnológicos del Mar No. 29. Ciudad del Carmen , Campeche. Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Vicente Viveros-Santos 4 Centro Regional de Investigación en Salud Pública-INSP. Tapachula , Chiapas, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Rosela Pérez-Ceballos 1 Investigadoras e Investigadores por México, Consejo Nacional de Humanidades Ciencia y Tenologías (CONAHCyT) , CDMX, México 2 Instituto de Ciencias del Mar y Limnología UNAM , Estación El Carmen. Ciudad del Carmen, Campeche, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site José Gilberto Cardoso-Mohedano 2 Instituto de Ciencias del Mar y Limnología UNAM , Estación El Carmen. Ciudad del Carmen, Campeche, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Arturo Zaldívar-Jiménez 5 Asesoría Técnica y Estudios Costeros (ATEC). Mérida , Yucatán, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Omar Celis-Hernández 1 Investigadoras e Investigadores por México, Consejo Nacional de Humanidades Ciencia y Tenologías (CONAHCyT) , CDMX, México 2 Instituto de Ciencias del Mar y Limnología UNAM , Estación El Carmen. Ciudad del Carmen, Campeche, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Alejandro Gómez-Ponce 2 Instituto de Ciencias del Mar y Limnología UNAM , Estación El Carmen. Ciudad del Carmen, Campeche, Mexico Find this author on Google Scholar Find this author on PubMed Search for this author on this site Martín Merino-Ibarra 6 Ecología y Biodiversidad Acuática, Instituto de Ciencias del Mar y Limnología UNAM , CDMX, México Find this author on Google Scholar Find this author on PubMed Search for this author on this site Abstract Full Text Info/History Metrics Preview PDF Abstract Mosquitoes are the most dangerous organisms on Earth because they spread causal agents of diseases. However, mosquito populations need to be better known in coastal areas of the Yucatan Peninsula to understand and prevent the spread of diseases effectively. To increase the knowledge about the mosquito community in the southern Gulf of Mexico region, we determined the diversity of mosquito species in Isla del Carmen Campeche. We trapped adult mosquitoes using buccal aspirators on monthly surveys (September 2019 to December 2020) in mangrove and low-semideciduous forest patches in three climate seasons. The sampling sessions consisted of 60 minutes of trapping performed every four hours (at 09, 13, 17, 21, 01, and 05 hrs) until a 24-hour cycle was completed. The trapped individuals were identified at the species level. We calculated Hill numbers using incidence data for each season and sampling hour. Abundances were compared through Kruskal-Wallis tests. A literature review determined the diseases associated with the species found. We collected 21,424 mosquito individuals from 11 genera, 26 species and four morphospecies. Seasonally, greater mosquito abundance and richness ( n = 26) occurred during the norte season ( χ2 = 7.23, df = 2, p = 0.026) and between the 09:00 and 13:00 hrs ( χ2 = 15.25, df = 5, p = 0.009). Many species in this study are reported as disease vectors of medical and veterinary relevance. Conclusions: Isla del Carmen contributes to the Yucatan Peninsula’s mosquito diversity, and several of its species are vectors of pathogens to humans and wildlife. Introduction The southeastern Gulf of Mexico (SGoM) is a region that stands out for its marine and terrestrial biodiversity and vast forested areas of ecological importance [ 1 ]. The wetlands, jungles, coastal areas, mangroves, and estuaries in this area provide wildlife shelter, food, and breeding sites [ 2 ]. Moreover, along the SGoM, numerous stopover sites are used for migratory birds as passage or rest areas during the fall and spring [ 3 ] because the Mississippi and Atlantic flyways converge over the Yucatan Peninsula. Unlike mammals, birds are less susceptible to zoonotic agents [ 4 , 5 ]. However, due to their capacity to fly and migrate, they effectively distribute zoonoses of importance to humans and wildlife [ 6 ]. They act as natural hosts, reservoirs, or bridge hosts [ 7 ] to zoonotic agents that are transmitted by arthropod insects such as ticks and mosquitoes [ 8 – 10 ]. According with the last catalog of mosquitoes 3,570 species have been recorded worldwide (Wilkerson et al. 2021), and approximately 6% are present in Mexico [ 11 ]. Mosquitoes are widely regarded as among the most dangerous organisms on Earth, mainly because they can transmit pathogens that cause diseases, spreading them between humans or through zoonoses from animals to humans [ 12 ]. These tiny insects are responsible for transmitting a wide range of diseases such as malaria, dengue fever, chikungunya, yellow fever, and Zika virus [ 13 ]. Mosquito-borne diseases affect millions of people annually, particularly in tropical regions. Therefore, understanding the diversity of mosquito species in these regions is crucial for controlling and preventing the spread of vector- borne diseases (VBDs) [ 14 ]. VBDs are caused by pathogens transmitted to humans and domestic and wild animals through the bite of infected mosquitoes [ 13 , 14 ]. The transmission of VBDs is influenced by various factors, including the abundance and diversity of mosquito species [ 15 ], the density of human and animal populations [ 16 ], and environmental factors such as climate and land use change [ 17 – 20 ]. Southern Mexico is a tropical hotspot area for mosquito-borne diseases [ 21 ]. The region is characterized by high temperatures, high humidity, and abundant water bodies, creating an ideal mosquito breeding environment [ 22 ]. As a result, several mosquito species incriminated in transmitting VBDs inhabit this region [ 21 , 23 ]. For example, Campeche, located in the Yucatan Peninsula (YP), is home to numerous mosquito species that are incriminated in transmitting various VBDs [ 24 ]. According with Talaga et al. (2023), 90 species are recognized as occurring in YP. However, additional studies on the species diversity of mosquitoes are needed because there are still significant gaps in the knowledge on the ecology and distribution of these insects. For instance, Aedes ( Stegomyia ) aegypti Linnaeus, 1762, and Anopheles ( Nyssorhynchus ) albimanus Wiedemann, 1820, are well-known on the YP. Nevertheless, other mosquito species may also be relevant disease vectors [ 25 ], and their distribution and abundance have not yet been studied. Therefore, studies contributing to understanding the region’s full range of mosquito species are crucial for help designing effective disease control and prevention strategies. Isla del Carmen is a small island off the coast of Campeche, Mexico. The island environment is characterized by humid tropical weather, warm temperatures and high levels of rainfall throughout the year. The island is known for its mangrove ecosystem [ 26 , 27 ], which provides an ideal breeding ground for mosquitoes because the mangrove trees and their associated vegetation offer many microhabitats for mosquitoes to breed, feed, and rest [ 28 ]. Despite the importance of the Isla del Carmen environment in supporting mosquito populations, knowledge about its mosquito species diversity could be clearer. Only a few studies have focused on Campeche mosquito species. For example, Bond et al. [ 29 ] focused on species of medical importance distributed in areas of low semievergreen forests and mangroves in continental areas of Campeche, which is far from Isla del Carmen. Others have studied mosquitoes inhabiting primary and secondary low semievergreen forest habitats and fruit tree plantations adjacent to riverine ecosystems [ 24 ]. However, mosquito species diversity and abundance on the island are not well- known. Moreover, there is only one published work from a survey conducted between 1996 and 2006, where the authors reported 14 mosquito species of medical relevance for Isla del Carmen [ 30 ]. Therefore, we aimed to determine the diversity of anthropophagous female mosquito species in Isla del Carmen seasonally and within 24-hour cycles to increase the knowledge about this group of insects in the coastal areas of the southern Mexico region. In addition, because of the environmental characteristics of our study area, we expected the species richness and diversity to be similar to those reported for other areas of the YP. Lastly, our work will provide baseline data for future assessments of how mosquito populations and their associated pathogens could change over time as climate and ecosystem modifications occur. Materials and Methods Study area Isla del Carmen is a sandbar island located southwest of the Mexican state of Campeche, within the YP ( Fig. 1 ). The climate is warm subhumid with minimal and maximal average temperatures ranging from 22°C to 32°C and approximately 1155 mm of rainfall annually. Around the year, the relative moisture content is approximately 74%. The dominant vegetation types are mangroves and semideciduous forests. Download figure Open in new tab Figure 1. Study are and sampling transects. The transects were separated by dominant vegetation: buildings and semideciduos forest (BLDSM), mangorove and semideciduos forest (MGSM), semideciduos forest and mangrove (SMMG). The sampling site (18° 39’ 13’’ N, -91° 45’ 41’’W, Fig. 1 ) is a ten-hectare area, modified by the presence of buildings for academic research and embedded in a changing landscape of growing human settlements located at an approximate average distance of 546 m. Although this human influence is evident, within the sampling area four species of mangrove trees ( Rizophora mangle L., , Laguncularia racemose (L.) C. F. Gaertn , Avicennia germinans (L.) L. , Conocarpus erectus L.), form an ecotone with a vegetation community composed of Metopium brownie (Jacq.) Urb. , Bursera simaruba (L.) Sarg. 1890 , Sabal Mexicana Mart. , Lonchocarpus hondurensis Benth., and Cedrela odorata L., among other plant species typical of tropical semideciduous forests. Therefore, the association between mangroves and the tropical semideciduous forests within our study site represents the typical vegetation community of disturbed and natural habitats in Isla del Carmen. Regional climate seasons are three: nortes or cold front season (NS) from October to February; dry season (DS) from March to May; and rainy season (RS) from June to September [ 31 , 32 ]. Sampling To assess the anthropophagous mosquito species diversity, we carried out monthly samplings, from September 2019 to December 2020 (permit number: SGPA/DGVS/0408019). The sampling included three collectors that used pooters (oral aspirators) to trap live-flying adult mosquitoes on three sampling transects with vegetation dominated by mangrove, semideciduos forest, or semideciduos forest modified by buidings ( Fig. 1 ), through the human landing collection (HLC) method [ECDC and EFSA 33]. The HLC technique is one of the oldest methods to catch mosquitoes and has been widely used for its simplicity in collecting anthropophagous host-seeking females [ECDC and EFSA 33,34]. Before starting the sampling, collectors were informed about the risks related to vector-borne diseases and mosquito biting within the region of the study site. Once collectors agreed with working conditions, the sampling began. To minimize the infection risk from mosquito bites, collectors used denim clothes and latex gloves to protect as much skin as possible. During the study period, collectors did not show any infection symptoms. During the sampling, we covered 16 24-hour cycles consisting of six 60-mins trapping sessions per cycle separated by three hours each: in the mornings at 05 and 09 hrs., in the afternoons at 13 and 17 hrs., and in the night at 21 and 01 hrs., (Montarsi et al. 2015; Santos et al. 2020). In addition, for each sampling session one collector walked on one of the three sampling transects ( Fig. 1 ), to trap mosquito females seeking for a host. Each collector was equipped only with an LED head lamp for secure walking after sunset, one 1-L plastic container for mosquito storage, and a pooter composed of a 30 cm glass tube connected to an 85 cm latex hosepipe with filters at each extreme of the pipe. No UV light or other attractors were used for sampling. Thus, the sampling effort was six hours per transect which summed 18 hours per sampling, for a total of 288 hours of sampling time along the three climate seasons in our study area. Mosquitoes were trapped mainly from the collectors’ bodies, but when possible, also from bodies of domestic dogs. The trapped individuals were stored in 1-L plastic containers until they were transported to the laboratory for sacrifice via thermal shock (-20°C) for 5 to 10 mins. All the trapped individuals were inspected under a stereoscope (Stemi 305, Carl Zeiss Oberkochen, Germany) for taxonomical identification using specialized keys such as Carpenter and LaCasse (1955), Díaz-Nájera [ 35 ], Arnell (1976), Clark-Gil and Darsie [ 36 ], and Wilkerson et al. [ 37 ]. Once separated by species, all the mosquitoes were counted, some specimens were prepared and mounted for a reference collection which was deposited at the Biodiversity and Conservation Genetics laboratory at the Institute of Sea Sciences and Limnology El Carmen UNAM. Data analyses For diversity analyses, the data were grouped according to the seasonal pattern occurring in our study area (DS, RS, NS) and the 24-hours sampling cycle. To evaluate the sampling coverage during different seasons and at different times of the 24-hour cycle, we generated accumulation diversity curves. After the conversion of the abundance data to incidence data, we generated three estimates of Hill numbers of order q : 1) species richness ( q = 0); 2) Shannon diversity, as the exponential of Shannon entropy or common species ( q = 1); and 3) Simpson diversity, calculated as the inverse of Simpson concentration or dominant species ( q = 2), as implemented in the R package iNEXT [ 38 , 39 ]. The seasonal and 24-hour abundances were compared using nonparametric Kruskal-Wallis’ test. To better comprehend the contribution of the Isla del Carmen mosquito species to regional diversity, we compared our data with diversity reports in other areas of the YP. We compiled published works with available abundance data [ 24 , 29 , 40 – 45 ], to estimate species diversity and the relative abundance of each reported species in each state/location as described above. All analyses were performed in R version 4.1.1 [ 46 ]. Results Species richness and abundance During the sampling period, we collected 21,424 mosquito individuals, from which 98.60% ( n = 21,124) were adult females, and 1.40% ( n = 300) were adult males, divided into two subfamilies (Culicinae and Anophelinae), 11 genera, 26 species and four morphospecies ( Table 1 ). About 99% of the captured females showed empty abdomen, 147 individuals were completely engorged, and 64 were partially engorged, showing dark blood within the abdomen, meaning that blood meals were taken less than six hours or between six and 18 hours before being trapped, respectively. No gravid females were collected during the samplings. Collected males belonged to the species Ae. ( Ochlerotatus ) taeniorhynchus Wiedemann, 1821 ( n = 263), Culex ( Culex ) interrogator Dyar & Knab, 1906 ( n = 15), Psorophora ( Janthinosoma ) ferox von Humbolt, 1819 ( n = 10), An. ( Anopheles ) crucians Wiedemann, 1828 ( n = 7), and Ae. ( Ochlerotatus ) angustivittatus Dyar & Knab, 1907 ( n = 5). Most of the females were caught on the collectors’ bodies. However some catches (< 1%) were obtained from domestic dogs’ bodies ( Ae. taeniorhynchus , An. crucians ). Only males were caught mainly from buildings’ windows and walls ( Ae. taeniorhynchus , An. crucians , Cx. interrogator ), and from plant branches and leafs ( Ps. ferox , Ae. angustivittatus ). View this table: View inline View popup Table 1. Species richness and abundance of anthropophagous female mosquitoes in Isla del Carmen during a 24-hour cycle and three sampling seasons: Norte (N), dry (D), and rainy (R). The medical and veterinary relevance of mosquito species was determined by the associated pathogens reported in the literature. All the genera recorded in our study were present in NS, while in DS, less than the 50% of the recorded genera were present ( Anopheles Meigen , Aedes Meigen , Culex Linnaeus , Deinocerites Theobald, and Mansonia Blanchard). However, An. albimanus, Ae. taeniorhynchus, Cx. ( Anoedioporpa ) restrictor Dyar & Knab, 1906, Cx. ( Culex ) coronator Dyar & Knab, 1906, Cx. interrogator , De. pseudes Dyar & Knab, 1909, and Ma. ( Mansonia ) dyari Belkin, Heinemann & Page, 1970, were recorded in all sampling seasons. The highest species richness was recorded during the NS ( n = 26), while it was lower in the RS and DS ( n = 20, and n = 8, respectively, Table 2 ). The black salt marsh mosquito ( Ae. taeniorhynchus ) was the most abundant and dominant species at any time during the 24- hour cycle, sampling seasons and vegetation type, representing 92.3% of our sample ( Fig. 2 ). Download figure Open in new tab Figure 2. Renyi diversity profiles of female mosquitoes in Isla del Carmen by hourly activity (A), season (B), and vegetation type (C). In the plots, α = 0 is the species richness, α = 1 the Shannon-Weiner diversity index, α = 2 the Simpson diversity index, and Inf is the Berger-Parker dominance index. View this table: View inline View popup Download powerpoint Table 2. Seasonal and hourly mosquito species richness ( S ) and diversity ( H’ ) in Isla del Carmen. To show the effect of an eudominant species on the local community, we compared the data including ( H’ 1 ) and excluding ( H’ 2 ) Ae. taeniorhynchus . The genus Aedes was the best represented (94.6%), while genera such as Aedeomyia Theobald , Deinocerites, Limatus Theobald, and Uranotaenia Lynch Arribálzaga, typically had low relative abundances (0.023, 0.284, 0.018, and 0.004%, respectively). Seasonally, a greater number of mosquitoes occurred during the NS. Even when excluding the most abundant species ( Ae. taeniorhynchus ) from the data, the NS had a greater mosquito abundance (Kruskal−Wallis test χ 2 = 7.23, df = 2, p = 0.026). Mosquito abundance also varied with mosquito timing between the 09:00 and 13:00 hrs (Kruskal−Wallis test χ 2 = 15.25, df = 5, p = 0.009). Diversity patterns The diversity analysis revealed values greater than 90% sample coverage in the NS and RS (94.71 and 92.1%, respectively). A lower sample coverage was estimated for the DS (81.48%). In addition, we had sample coverage greater than 80% during each sampling hour (except at 17:00, where sample coverage was 75.5%), indicating that our sampling effort was sufficient to determine the female mosquito species richness in our study area. The Hill numbers showed that the season with the highest diversity of culicids was the NS. We observed that common ( q = 1) and dominant species ( q = 2) were significantly different for all the seasons (because no confidence intervals overlapped). However, for species richness ( q = 0), the differences between RS and NS were not clear, even when we extrapolated our sampling effort twice ( Fig. 3 ), meaning that these two seasons had similar diversity patterns. When we considered the diversity of each season separately, we found that diversity was on average 3.8 and 1.4 times greater in the NS than in the DS and RS seasons, respectively. Moreover, the RS was on average 2.6 times more diverse than DS. Finally, the estimated number of undetected species for each season was NS = 7.5, DS = 3.3, and RS = 7.5 ( Fig. 3 ). Download figure Open in new tab Figure 3. Estimated Hill numbers for species richness ( q = 0), equally common species ( q = 1), and the effective number of dominant species ( q = 2) during the three sampling seasons. No overlap of the confidence intervals (shaded areas) indicates significant differences. The rarefaction analyses showed that the Hill numbers differed significantly among seasons ( Figure 4A ), indicating that the mosquito community of Isla del Carmen has a varying dynamic throughout the year, except for the dominant Ae. taeniorhynchus , which is highly abundant in all seasons. The rest of the species are likely affected by yearly environmental changes. In addition, during the study period, the highest species richness occurred from 17:00 to 05:00 hours, while the lowest number of species occurred between 09:00 and 13:00 ( Figure 4B ). Download figure Open in new tab Figure 4. Rarefied estimates of species richness and diversity patterns in three sampling seasons (A) and six different sampling hours (B) are shown. Estimations are based on the sample maximal coverage (Cmax). Vertical bars represent the 95% lower and upper confidence limits. According to the reviewed literature, Isla del Carmen is among the places with the greatest species richness on the YP, together with Celestún and Calakmul. However, it showed a diversity value similar to that of the urban areas of Merida city. But, when the eudominant Ae. taeniorhynchus was excluded from the dataset, the diversity of the mosquito community in Isla del Carmen was greater than the estimated value for all other locations ( Table 3 ), like the pattern observed locally (see Table 2 ). View this table: View inline View popup Download powerpoint Table 3: Female mosquito species richness ( S r ), and diversity of Isla del Carmen as compared with other localities in the Yucatan Peninsula. Parameters were estimated from data of this study and earlier published works. The estimated Shannon-Wiener diversity index ( H’ ) by locality included ( H’ 1 ) and excluded ( H’ 2 ) Ae. taeniorhynchus data to show the effect of this eudominant species on the communities. Discussion For the first time, we report the 24-hour cycle dynamics of the Culicidae family during the different climate seasons occurring in Campeche, particularly within the Terminos Lagoon region [ 31 ]. By identifying and cataloging the mosquito species present in Isla del Carmen, our study provides crucial data on the local and regional mosquito fauna in the SGoM, particularly in the Yucatan Peninsula. This knowledge is foundational for understanding the pathobiology of mosquito-borne diseases, as different mosquito species can carry different pathogens [ 18 , 47 ]. The mosquito population and disease dynamics are affected by environmental factors such as precipitation, temperature, and relative humidity [ 48 ], by changes in mosquito mortality, and food and breeding site availability [ 49 ]. In our study, the NS was the season with the highest abundance (57.38%) and diversity values as compared to the DS and RS. This result is similar to that reported by Romero-Vega et al. [ 50 ], who reported that mosquito diversity is greater in the wet season than in the dry season. According to Guerra-Santos and Khal [ 51 ], the NS and the RS in our study area have very similar monthly rainfall values. In addition to rainfall, the NS typically experiences temperature decreases because of the occurrence of cold fronts, which may favor bionomic conditions [ 52 , 53 ]. During the NS, the less abundant rainfall helps the immature mosquito phases have more favorable breeding site conditions for developing and increasing the number of emerging adults [ 54 ], in contrast with overflooding and water flow events that naturally eliminate the immature phases during the RS [ 55 ]. Roiz et al. [ 56 ] reported that rainfall accumulation is positively related to the abundance of several species of Anopheles, Psorophora, Uranotaenia , and subgenera Ochlerotatus Lynch Arribálzaga and Aedes , which need large breeding sites at ground level with vegetation and standing water [ 57 – 60 ]. Such conditions are more likely to occur during NS in our study area, increasing mosquito abundance. Likewise, species like An. albimanus and Ae. taeniorhynchus, Cx. interrogator, De. pseudes and Ma. dyari may breed in a broader range of environmental conditions since they were present throughout the study period. Furthermore, during the NS, cooler temperatures allow more species to experience activity during the day because of lower dehydration and rainfall probabilities. For example, Drakou et al. [ 49 ], reported that the optimal temperature for mosquito activity ranges from 15°C to 24°C, while above 28°C, the activity decreases. During the NS season, the average temperature in our study area was two Celsius degrees lower than in RS and DS seasons [ 61 ], which might favored increased mosquito abundance. In our study, we did not find differences in the incidence of mosquitoes for most of the sampling hours, except for 09:00 and 13:00, when the number of species and the number of caught mosquitoes were lower. However, some of the recorded species, such as An. crucians , An. ( Ano. ) gabaldoni Vargas, 1941, and An. ( Ano. ) vestitipennis Dyar & Knab, 1906, were diurnally active, although the genus Anopheles is considered to have mainly nocturnal or crepuscular activity [ 62 ]. These species were inactive only between sunrise and 09:00 hours, a pattern reported for species of medical importance [ 63 ]. Conversely, Ae. angustivittatus , Ae. ( Och. ) scapularis (Rondani, 1848), Ae. ( Och. ) serratus (Theobald, 1901) , Ae. aegypti , and Ps. ferox , considered as diurnal species [ 64 , 65 ], were observed at dusk (21:00, 01:00 and 05:00). Mansonia dyari is also considered a nocturnal species [ 66 , 67 ], however during the RS and NS, this species was recorded at all sampling hours. Throughout the study, the hour at which the highest species richness occurred was 21:00. Although at this time, most of the diurnal species ( Aedes, Psorophora, Haemagogus Williston) exhibited a reduced incidence, some individuals could remain actively searching for a meal, co-occurring with the nocturnal species ( Anopheles, Coquillettidia Dyar, and Mansonia ) that exhibited increased activity [ 68 ]. However, the observed activity patterns could have been influenced by the presence of collectors [ 53 ], and additional studies are needed. Although the sampling coverage was in the range of 81-94%, the analyses revealed a few undetected species (NS and RS = 7 species, DS = 3 species) that can be recorded by using additional catching methods and increasing the sampling effort to overcome the high presence of singletons that usually appear in entomological surveys [ 69 ].Isla del Carmen houses 44% of the mosquito species reported for the entire estate of Campeche [ 24 , 40 , 41 ], 35% of the species reported in Yucatan [ 44 , 45 ], and approximately 30% of the recorded species in Quintana Roo [ 40 , 41 , 43 ]. According to the recently published review of Talaga et al. [ 70 ], the species richness found in our study represents about 29% of the mosquito species recorded within the YP. Thus, the high level of species richness underscores the ecological importance of Isla del Carmen as a regional mosquito diversity hotspot, and its potential role in regional disease dynamics. Although the species richness in Isla del Carmen was similar to that in other studied locations, its species diversity was lower than that in other coastal and inland areas of the YP because of the high numbers of Ae. taeniorhynchus , a eudominant species in our study area comprising approximately 92% of the captured adult females. As Ae. taeniorhynchus oviposits in brackish water [ 71 ], it is expected that the estuarine environment and the mangrove areas surrounding Isla del Carmen provide optimal breeding habitats for this species, favoring its abundance and overcoming the abundance of other mosquito species that need less saline environments for egg eclosion and larval survival, for example, Ae. aegypti [ 72 ] or species of the Culex and Anopheles genera [ 73 ]. In addition, it has been reported that these species can use freshwater natural habitats such as (epiphytes, cenotes, ponds, and swamps) [ 40 ], and artificial habitats (buckets, tires, tanks, and sewage) [ 44 ], as well as rainfall accumulation spots for breeding. Moreover, Ae. taeniorhynchus has been reported as a migratory species able to move within a range of approximately 30-96 km [ 74 ]. Thus, the capacity of females to breed in brackish and freshwater habitats and move long distances contributes to abundance peaks in the coastal and adjacent inland areas of Isla del Carmen and YP during rainfall (June-September) [ 51 ] and estuarine flooding seasons (November-February) [ 27 ]. Aedes taeniorhynchus is implicated in the transmission of several important pathogens that affect humans and animals ( Table 1 ). Therefore, its abundance in Isla del Carmen may pose significant health risks for humans and wildlife populations. Although other less abundant species of Aedes were present in Isla del Carmen, it is important to emphasize that they have been implicated in the transmission of pathogens such as viruses or nematodes ( Table 1 ). It is important to highlight that the species with the highest medical significance in our list was Ae. aegypti , the sixth most abundant species, even though our study area is in a semi- conserved area. The presence and abundance of Ae. Aegypti could be associated to habitat transformations due to the nearby houses and buildings, and to constant human presence in modified habitat fragments around this zone. It is reported that habitat modifications change the community species composition, and that colonization by synanthrope mosquito species responds to deforestation, loss of native animal and plant species, and to human aggregations [ 16 , 47 ] Moreover, despite of being an urban species, Ae. aegypti can survive in heterogeneous landscapes (not fully forested) if it finds the conditions for shelter or breeding [ 75 ]. In our study Ae. Aegypti was recorded only in NS (75.2%) and RS (24.7%), which could indicate that this species exploits both artificial and natural breeding sites for oviposition. The adaptative plasticity to use breeding sites, such as tree holes, during seasons with higher precipitation has been previously reported in Brazil [ 76 ]. Finally, A. aegypti did not show any pattern in the feeding schedule, as it was present in all the sampling hours. It is documented that some factors modifying Ae. aegypti flying activity or biting rate are the food availability and artificial light presence, making it active throughout the day, though in lower abundances at night [ 77 , 78 ]. Our results suggest the need for deeper studies on the activity of this important mosquito as a potential vector of pathogenic agents in enzootic cycles. Earlier studies reported 11 Psorophora species in the YP, three of the four species recorded in Isla del Carmen are implicated in the transmission of pathogens such as Ilheus virus (ILHV) [ 79 ] and potentially VEE [ 47 ]. Since both VEE [ 80 ] and ILHV [ 81 ] may be distributed within or near the region of Isla del Carmen and involve domestic or wild mammals and birds [ 82 ], the presence of numerous migrant bird species [ 83 ] that can act as reservoirs might be important factors of risk for human and wildlife populations. In contrast to the findings of Carpio-Orantes et al. [ 84 ], we found evidence of the presence of four Haemagogus species in the YP [ 41 , 43 – 45 , 70 , 85 , 86 ]. Some Haemagogus species are involved in the transmission of the sylvatic phase of YFV infection, which has been found mainly in Hg. ( Hag. ) janthinomys Dyar, 1921, [ 87 ], Hg. ( Hag. ) equinus Theobald, 1903, and Hg. ( Hag. ) lucifer (Howard, Dyar & Knab 1912), among others [ 88 ]. In Isla del Carmen, we recorded only Hg. ( Hag. ) regalis Dyar & Knab, 1906. Although this species is not related to pathogen transmission, since there are still small populations of wild primates in Isla del Carmen and nearby places, further monitoring of mosquito populations and virologic studies are needed to determine the presence of the wild type YFV and the potential for zoonosis. The Culex genus present in Isla del Carmen included five identified species and two that we cannot identify at the species level using morphological characteristics of females. Mosquito species in this genus are known to be vectors of medical and veterinary relevance. Pathogens such as WNV, St. Louis virus (SLV), ZIK [ 89 – 91 ], and VEE [ 92 ] have been found in wild specimens. For example, Baak-Baak et al. [ 93 ] determined that Cx. coronator , a potential vector of VEE, represents a risk to human health, mainly in rural areas of the YP, including estuarine and mangrove areas similar to those in Isla del Carmen, where people constantly move between villages and the city. Other species in Isla del Carmen, such as Cx. nigripalpus Theobald, 1901, have been related to the transmission of WNV and St. Louis encephalitis (SLE) [ 94 ]. Thus, as a preventive action, local studies to test for the presence of these pathogens are needed. Two reported Coquillettidia species in the YP were found in Isla del Carmen, Cq. ( Rhy. ) nigricans (Coquillet, 1904), and Cq. ( Rhy. ) venezuelensis (Theobald, 1912). Both species were captured during the RS and NS, and no defined activity pattern was observed for any of the species, which were present during daylight and dusk. There is no evidence of medical importance for Cq. nigricans [ 95 ], but Cq. venezuelensis is known to be a natural vector of Flaviviridae, Periburyaviridae, Proxiviridae, and Togaviridae, among other pathogens [ 96 – 98 ], that infect humans, birds, primates and other wild vertebrates. Among the two Mansonia species reported for the YP, only Ma. dyari was found in Isla del Carmen. Even though the medical relevance of this species is uncertain, Ortega-Morales and Nava [ 95 ] stated that it might be involved in the zoonotic processes of WNV. On the other hand, in Florida, this species was found to be a moderately effective vector for Rift Valley fever virus (RVF) [ 99 ], which could be relevant for the rural areas adjacent to Isla del Carmen that are stopover sites for migrant birds, and where cattle and other domestic ruminants are economically important for local inhabitants; however further studies are needed. Finally, four out of the 12 species of Anopheles reported in the YP [ 43 ] were found in Isla del Carmen. Anopheles albimanus and An. vestitipennis , are considered primary malaria vectors in some areas of southern Mexico [ 100 – 102 ], while An. crucians , is implicated in the transmission of Dirofilaria immitis [ 103 ], which infects domestic dogs and cats, cattle [ 104 ], and, although rarely, humans [ 105 , 106 ]. So far, An. gabaldoni , are not considered important disease vectors, but additional studies are needed. Conclusion This study provides valuable insights into the hourly dynamics, abundance, and diversity of mosquito populations, particularly those of the Culicidae family in the Campeche region, focusing on the Terminos Lagoon area. This research emphasizes the influence of seasonal changes on mosquito populations. Our study revealed that the norte season (NS, characterized by rainfall and cooler temperatures due to cold fronts) exhibited greater mosquito abundance and diversity to that did the dry season (DS) and the rainy season (RS). This pattern is consistent with previous findings, suggesting that mosquito diversity tends to increase during wet seasons. The environmental conditions during the NS allow some species to thrive in large breeding sites with vegetation and standing water, increasing abundance and diversity. Isla del Carmen stands out as a location housing a significant proportion of the mosquito species in the Yucatan Peninsula. The dominance of Ae. taeniorhynchus in this area can be attributed to its ability to breed in brackish or freshwater habitats and its migratory nature, which poses potential health risks due to its role in pathogen transmission. This study further highlights the presence of other mosquito species of medical and veterinary relevance, such as those implicated in the transmission of Dengue virus, Ilheus virus, Venezuelan equine encephalitis, West Nile virus, St. Louis virus, Zika virus, and yellow fever virus. This research contributes significantly to understanding mosquito dynamics and the potential health risks associated with specific mosquito species in the Yucatan Peninsula region. Given that there were some undetected species, we emphasize the importance of further monitoring and increased sampling to comprehensively understand mosquito populations in this and other important areas of the coastal southern Gulf of Mexico. Founding This work did not receive institutional founding. Availability of data and materials Databases on seasonal and hourly species abundance are available on request to the authors. Authors’ contribution JCCD, NVP, and VVS conceived and designed the study. JCCD, NVP, and VVS conducted field surveys, sample processing, and species identification and wrote the manuscript. JCCD, VVS, RPC, and AZJ conducted the statistical analyses of the data. JGCM, OCH, AGP, and MMI revised and approved the final manuscript. Competing interests The authors declare that they have no competing interests. Acknowledgements We thank Lourdes Potenciano, Hernán Álvarez and Andrés Reda from ICML-UNAM EL Carmen for supporting the logistics of field work and the sampling sessions. References 1. ↵ Felder DL , Camp DK . Gulf of Mexico origin, waters, and biota . Volume 1 , Biodiversity. Texas A & M University Press ; 2009 . 2. ↵ Koleff P , Urquiza-Haas T , Ruiz-González SP , Hernández-Robles DR , Mastretta-Yanes A , Quintero E , et al. Biodiversity in Mexico: State of knowledge. Global Biodiversity Vol 4: Selected countries in the Americas and Australia . Waretown, NJ : Apple Academic Press Inc .; 2019 . p. 53. 3. ↵ Bayly NJ , Rosenberg K V. , Easton WE , Gómez C , Carlisle J , Ewert DN , et al. Major stopover regions and migratory bottlenecks for Nearctic-Neotropical landbirds within the Neotropics: a review . Bird Conserv Int . 2018 ; 28 : 1 – 26 . doi: 10.1017/S0959270917000296 OpenUrl CrossRef 4. ↵ Cleaveland S , Laurenson MK , Taylor LH . Diseases of humans and their domestic mammals: pathogen characteristics, host range and the risk of emergence. Woolhouse MEJ , Dye C, editors. Philos Trans R Soc London Ser B Biol Sci . 2001 ; 356 : 991 – 999 . doi: 10.1098/rstb.2001.0889 OpenUrl CrossRef PubMed Web of Science 5. ↵ Contreras A , Gómez-Martín A , Paterna A , Tatay-Dualde J , Prats-van der Ham HM, Corrales JC, et al. Papel epidemiológico de las aves en la transmisión y mantenimiento de zoonosis . Rev Sci Tech l’OIE . 2016 ; 35 : 845 – 862 . doi: 10.20506/rst.35.3.2574 OpenUrl CrossRef 6. ↵ Jourdain E , Gauthier-Clerc M , Bicout D , Sabatier P . Bird Migration Routes and Risk for Pathogen Dispersion into Western Mediterranean Wetlands . Emerg Infect Dis . 2007 ; 13 : 365 – 372 . doi: 10.3201/eid1303.060301 OpenUrl CrossRef PubMed 7. ↵ Caron A , Cappelle J , Cumming GS , de Garine-Wichatitsky M , Gaidet N . Bridge hosts, a missing link for disease ecology in multi-host systems . Vet Res . 2015 ; 46 : 83 . doi: 10.1186/s13567-015-0217-9 OpenUrl CrossRef 8. ↵ Manrique-Saide P , Escobedo-Ortegón J , Bolio-González M , Sauri-Arceo C , Dzib-Florez S , Guillermo-May G , et al. Incrimination of the mosquito, Aedes taeniorhynchus, as the primary vector of heartworm, Dirofilaria immitis, in coastal Yucatan, Mexico . Med Vet Entomol . 2010 ; 24 : 456 – 460 . doi: 10.1111/j.1365-2915.2010.00884.x OpenUrl CrossRef PubMed Web of Science 9. Springer YP , Hoekman D , Johnson PTJ , Duffy PA , Hufft RA , Barnett DT , et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network . Ecosphere . 2016 ; 7 . doi: 10.1002/ecs2.1271 OpenUrl CrossRef 10. ↵ Weaver SC . Incrimination of mosquito vectors . Nat Microbiol . 2020 ; 5 : 232 – 233 . doi: 10.1038/s41564-019-0665-5 OpenUrl CrossRef 11. ↵ Espinoza-Gómez F , Ignacio Arredondo-Jiménez J , Maldonado-Rodríguez A , Pérez- Rentería C , Newton-Sánchez ÓA , Chávez-Flores E , et al. Distribución geográfica de mosquitos adultos (Diptera: Culicidae) en áreas selváticas de Colima , México. Rev Mex Biodivers . 2013 ; 84 : 685 – 689 . doi: 10.7550/rmb.27184 OpenUrl CrossRef 12. ↵ WHO. A global brief on vector-borne diseases. Switzerland; 2014 . Available: www.who.int/about/licensing/copyright_form/en/%0Aindex.html 13. ↵ Müller R , Reuss F , Kendrovski V , Montag D . Vector-Borne Diseases . In: Marselle MR , Stadler J , Korn H , Irvine KN , Bonn A , editors. Biodiversity and Health in the Face of Climate Change . Cham : Springer International Publishing ; 2019 . pp. 67 – 90 . doi: 10.1007/978-3-030-02318-8_4 OpenUrl CrossRef 14. ↵ Swei A , Couper LI , Coffey LL , Kapan D , Bennett S . Patterns, drivers, and challenges of vector-borne disease emergence . Vector-Borne Zoonotic Dis . 2020 ; 20 : 159 – 170 . doi: 10.1089/vbz.2018.2432 OpenUrl CrossRef 15. ↵ Burkett-Cadena ND , Vittor AY . Deforestation and vector-borne disease: Forest conversion favors important mosquito vectors of human pathogens . Basic Appl Ecol . 2018 ; 26 : 101 – 110 . doi: 10.1016/j.baae.2017.09.012 OpenUrl CrossRef 16. ↵ Wilke ABB , Benelli G , Beier JC . Anthropogenic changes and associated impacts on vector-borne diseases . Trends Parasitol . 2021 ; 37 : 1027 – 1030 . doi: 10.1016/j.pt.2021.09.013 OpenUrl CrossRef PubMed 17. ↵ Semenza JC , Suk JE . Vector-borne diseases and climate change: a European perspective . FEMS Microbiol Lett . 2018 ; 365 . doi: 10.1093/femsle/fnx244 OpenUrl CrossRef PubMed 18. ↵ Bartlow AW , Manore C , Xu C , Kaufeld KA , Del Valle S , Ziemann A , et al. Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment . Vet Sci . 2019 ; 6 : 40 . doi: 10.3390/vetsci6020040 OpenUrl CrossRef 19. Caminade C , McIntyre KM , Jones AE . Impact of recent and future climate change on vector-borne diseases . Ann N Y Acad Sci . 2019 ; 1436 : 157 – 173 . doi: 10.1111/nyas.13950 OpenUrl CrossRef PubMed 20. ↵ Franklinos LH V , Jones KE , Redding DW , Abubakar I . The effect of global change on mosquito-borne disease . Lancet Infect Dis . 2019 ; 19 : e302 – e312 . doi: 10.1016/S1473-3099(19)30161-6 OpenUrl CrossRef PubMed 21. ↵ Dzul-Manzanilla F , Correa-Morales F , Che-Mendoza A , Palacio-Vargas J , Sánchez- Tejeda G , González-Roldan JF , et al. Identifying urban hotspots of dengue, chikungunya, and Zika transmission in Mexico to support risk stratification efforts: a spatial analysis . Lancet Planet Heal . 2021 ; 5 : e277 – e285 . doi: 10.1016/S2542-5196(21)00030-9 OpenUrl CrossRef 22. ↵ Madzlan F , Dom NC , Tiong CS , Zakaria N . Breeding Characteristics of Aedes Mosquitoes in Dengue Risk Area . Procedia - Soc Behav Sci . 2016 ; 234 : 164 – 172 . doi: 10.1016/j.sbspro.2016.10.231 OpenUrl CrossRef 23. ↵ Hernández–Rodríguez JL , Perez-Pacheco R , Vásquez-López A , Mejenes–Hernández MC, Granados–Echegoyen CA, Arcos-Cordova IDR, et al. Asian Tiger Mosquito in Yucatan Peninsula: First Record of Aedes (Stegomyia) albopictus (Diptera: Culicidae) in Campeche , Mexico. Yee D, editor. J Med Entomol . 2020 ; 57 : 2022 – 2024 . doi: 10.1093/jme/tjaa133 OpenUrl CrossRef 24. ↵ Abella-Medrano CA , Roiz D , Islas CG , Salazar-Juárez CL, Ojeda-Flores R. Assemblage variation of mosquitoes (Diptera: Culicidae) in different land use and activity periods within a lowland tropical forest matrix in Campeche, Mexico . J Vector Ecol . 2020 ; 45 : 188 – 196 . doi: 10.1111/jvec.12389 OpenUrl CrossRef 25. ↵ Dávalos-Becerril E , Correa-Morales F , González-Acosta C , Santos-Luna R , Peralta- Rodríguez J , Pérez-Rentería C , et al. Urban and semi-urban mosquitoes of Mexico City: A risk for endemic mosquito-borne disease transmission. Adelman ZN, editor . PLoS One . 2019 ; 14 : e0212987 . doi: 10.1371/journal.pone.0212987 OpenUrl CrossRef 26. ↵ Zaldivar-Jimenez M a. , Herrera-Silveira J a. , Teutli-Hernandez C , Comin F a., Andrade JL, Molina CC, et al. Conceptual Framework for Mangrove Restoration in the Yucatan Peninsula . Ecol Restor . 2010 ; 28 : 333 – 342 . doi: 10.3368/er.28.3.333 OpenUrl Abstract / FREE Full Text 27. ↵ Pérez-Ceballos R , Zaldívar-Jiménez A , Canales-Delgadillo J , López-Adame H , López- Portillo J , Merino-Ibarra M . Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands. Nóbrega R, editor . PLoS One . 2020 ; 15 : e0227665 . doi: 10.1371/journal.pone.0227665 OpenUrl CrossRef 28. ↵ Siwiendrayanti A , Anggoro S , Nurjazuli N . Literature review: The contribution of mangrove ecosystem condition to mosquito population . Warsito B , Sudarno , Triadi Putranto T , editors. E3S Web Conf . 2020 ;202: 05016. doi: 10.1051/e3sconf/202020205016 OpenUrl CrossRef 29. ↵ Bond JG , Moo-Llanes DA , Ortega-Morales AI , Marina CF , Casas-Martínez M , Danis- Lozano R . Diversity and potential distribution of culicids of medical importance of the Yucatan Peninsula, Mexico . Salud Publica Mex . 2020 ; 62 : 379 – 387 . doi: 10.21149/11208 OpenUrl CrossRef 30. ↵ Ríos López J , Vargas Mendoza MC , García Solís E , Tafoya del Ángel FR . Registros de mosquitos (Diptera; Culicidae) del Estado de Campeche. Investig en Salud Campeche . 2008 ;1: 5–10. 31. ↵ Yañez-Arancibia A , Day JW . Ecological characterization of Termnos Lagoon, a tropical lagoon-estuarine system in the southern Gulf of Mexico . Oceanol Acta . 1982 ; 5 : 431 – 440 . OpenUrl 32. ↵ Guerra-Santos JJ , Kahl JDW . Redefining the Seasons in the Términos Lagoon Region of Southeastern México: May Is a Transition Month, Not a Dry Month . J Coast Res . 2018 ; 34 : 193 – 201 . doi: 10.2112/JCOASTRES-D-16-00114.1 OpenUrl CrossRef 33. European Centre for Disease Prevention and Control (ECDC), European Food Safety Authority (EFSA). Field sampling methods for mosquitoes, sandflies, biting midges and ticks – VectorNet project 2014–2018 . Stockholm; 2018 . doi: 10.2900/416333 OpenUrl CrossRef 34. Service MW . Sampling the Adult Resting Population . Mosquito Ecology Field sampling methods. Dordrecht: Springer Netherlands ; 1993 . pp. 210 – 290 . doi: 10.1007/978-94-011-1868-2_3 OpenUrl CrossRef 35. ↵ Díaz-Nájera A . Claves para indentificar espeices mexicanas de Mansonia y Psorophora (Díptera: Culicidae) . Rev Inst Salubr Enferm Trop . 1965 ; 25 : 127 – 137 . OpenUrl 36. ↵ Clark-Gil S , Darsie RF . The mosquitoes of Guatemala, their identification, distribution and bionomics . Mosq Syst . 1983 ; 15 : 151 – 199 . OpenUrl 37. ↵ Wilkerson RC , Strickman D , Ibáñez-Bernal S. Clave ilustrada para la identificación de las hembras de mosquitos Anofelinos de México y Centroamérica . Mexico, D.F.: lnstituto National de Diagnóstico y Referencia Epidemiologicos (INDRE); 1993 . 38. ↵ Hsieh TC , Ma KH , Chao A. iNEXT: Interpolation and extrapolation for species diversity . 2022 . 39. ↵ Chao A , Gotelli NJ , Hsieh TC , Sander EL , Ma KH , Colwell RK , et al. Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies . Ecol Monogr . 2014 ; 84 : 45 – 67 . doi: 10.1890/13-0133.1 OpenUrl CrossRef Web of Science 40. ↵ Ortega Morales AI , Mis Avila P , Elizondo-Quiroga A , Harbach RE , Siller-Rodríguez QK , Fernández-Salas I . Los mosquitos del estado de Quintana Roo , México (Diptera: Culicidae). ACTA ZOOLÓGICA Mex . 2010 ; 26 . doi: 10.21829/azm.2010.261678 OpenUrl CrossRef 41. ↵ Ordóñez-Sánchez F , Sánchez-Trinidad A , Mis-Ávila P , Canul-Amaro G , Fernández-Salas I , Ortega-Morales AI . Nuevos registros de mosquitos (Diptera: Culicidae) en algunas localidades de Campeche y Quintana Roo . Entomol Mex . 2013 ; 12 : 850 – 854 . OpenUrl 42. Torres-Chable OM , Baak-Baak CM , Cigarroa-Toledo N , Zaragoza-Vera C V. , Arjona- Jimenez G , Moreno-Perez LG , et al. Mosquito Fauna in Home Environments of Tabasco, Mexico . Southwest Entomol . 2017 ; 42 : 969 – 982 . doi: 10.3958/059.042.0416 OpenUrl CrossRef 43. ↵ Chan-Chable RJ , Martínez-Arce A , Ortega-Morales AI , Mis-Ávila PC . New Records and Updated Checklist of Mosquito Species in Quintana Roo, Mexico, Using DNA- Barcoding . J Am Mosq Control Assoc . 2020 ; 36 : 264 – 268 . doi: 10.2987/20-6941.1 OpenUrl CrossRef 44. ↵ Baak-Baak CM , Cigarroa-Toledo N , Cetina-Trejo R , Talavera-Aguilar L , Tzuc-Dzul JC , Torres-Chable O , et al. Surveillance of the Black Salt Marsh Mosquito, Aedes taeniorhynchus, in Merida City, Yucatan, Mexico. Rev Biomédica . 2022 ;33: 79–84. 45. ↵ Contreras-Perera YJ , García-Rejón JE , Briceño-Méndez MA , Puc-Kauil R , Delfín- González H , Martin-Park A , et al. Diversity of mosquitoes (Diptera: Culicidae) in public parks of Merida, Yucatan, Mexico . Int J Trop Insect Sci . 2022 ; 42 : 3263 – 3272 . doi: 10.1007/s42690-022-00809-3 OpenUrl CrossRef 46. ↵ R Development Core Team. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing ; 2021 . Available : https://www.r-project.org/ 47. ↵ Cano-Pérez E , González-Beltrán M , Ampuero JS , Gómez-Camargo D , Morrison AC , Astete H . Prevalence of Mosquito Populations in the Caribbean Region of Colombia with Important Public Health Implications . Trop Med Infect Dis . 2022 ; 8 : 11 . doi: 10.3390/tropicalmed8010011 OpenUrl CrossRef 48. ↵ Tian H-Y , Bi P , Cazelles B , Zhou S , Huang S-Q , Yang J , et al. How environmental conditions impact mosquito ecology and Japanese encephalitis: An eco-epidemiological approach . Environ Int . 2015 ; 79 : 17 – 24 . doi: 10.1016/j.envint.2015.03.002 OpenUrl CrossRef 49. ↵ Drakou K , Nikolaou T , Vasquez M , Petric D , Michaelakis A , Kapranas A , et al. The Effect of Weather Variables on Mosquito Activity: A Snapshot of the Main Point of Entry of Cyprus . Int J Environ Res Public Health . 2020 ; 17 : 1403 . doi: 10.3390/ijerph17041403 OpenUrl CrossRef PubMed 50. ↵ Romero-Vega LM , Piche-Ovares M , Soto-Garita C , Barantes Murillo DF , Chaverri LG , Alfaro-Alarcón A , et al. Seasonal changes in the diversity, host preferences and infectivity of mosquitoes in two arbovirus-endemic regions of Costa Rica . Parasit Vectors . 2023 ; 16 : 34 . doi: 10.1186/s13071-022-05579-y OpenUrl CrossRef 51. ↵ Guerra-Santos JJ , Kahl JDW . Redefining the Seasons in the Términos Lagoon Region of Southeastern México: May Is a Transition Month, Not a Dry Month . J Coast Res . 2018 ; 341 : 193 – 201 . doi: 10.2112/JCOASTRES-D-16-00114.1 OpenUrl CrossRef 52. ↵ Santos EB , Favretto MA , Müller GA . When and what time? On the seasonal and daily patterns of mosquitoes (Diptera: Culicidae) in an Atlantic Forest remnant from Southern Brazil. Austral Entomol . 2020 ; 59 : 337 – 344 . doi: 10.1111/aen.12454 OpenUrl CrossRef 53. ↵ Rund S , O’Donnell A , Gentile J , Reece S . Daily Rhythms in Mosquitoes and Their Consequences for Malaria Transmission . Insects . 2016 ; 7 : 14 . doi: 10.3390/insects7020014 OpenUrl CrossRef 54. ↵ Baril C , Pilling BG , Mikkelsen MJ , Sparrow JM , Duncan CAM , Koloski CW , et al. The influence of weather on the population dynamics of common mosquito vector species in the Canadian Prairies . Parasit Vectors . 2023 ; 16 : 153 . doi: 10.1186/s13071-023-05760-x OpenUrl CrossRef 55. ↵ Paaijmans KP , Wandago MO , Githeko AK , Takken W . Unexpected High Losses of Anopheles gambiae Larvae Due to Rainfall. Carter D, editor . PLoS One . 2007 ; 2 : e1146 . doi: 10.1371/journal.pone.0001146 OpenUrl CrossRef PubMed 56. ↵ Roiz D , Ruiz S , Soriguer R , Figuerola J . Climatic effects on mosquito abundance in Mediterranean wetlands . Parasit Vectors . 2014 ; 7 : 333 . doi: 10.1186/1756-3305-7-333 OpenUrl CrossRef PubMed 57. ↵ Viveros-Santos V , Hernández-Triana LM , Ibáñez-Bernal S , Ortega-Morales AI , Nikolova NI , Pairot P , et al. Integrated Approaches for the Identification of Mosquitoes (Diptera: Culicidae) from the Volcanoes of Central America Physiographic Subprovince of the State of Chiapas , Mexico. Vector-Borne Zoonotic Dis . 2022 ; 22 : 120 – 137 . doi: 10.1089/vbz.2021.0034 OpenUrl CrossRef 58. Arnell JH. Mosquitoes studies (Diptera, Culicidae) XXXIII . A revision of the Scapularis group od Aedes (Ochlerotatus) . Contrib Am Entomol Institute . 1976 ; 13 : 1 – 44 . OpenUrl 59. Mello L de, Martinez-Vazquez J . Climate Change Implications for the Public Finances and Fiscal Policy: An Agenda for Future Research and Filling the Gaps in Scholarly Work . Economics . 2022 ; 16 : 194 – 198 . doi: 10.1515/ECON-2022-0026 OpenUrl CrossRef 60. ↵ Mello CF , Santos-Mallet JR , Tátila-Ferreira A , Alencar J . Comparing the egg ultrastructure of three Psorophora ferox (Diptera: Culicidae) populations . Brazilian J Biol . 2017 ; 78 : 505 – 508 . doi: 10.1590/1519-6984.171829 OpenUrl CrossRef 61. ↵ Nacional SM. Estaciones Meteorológicas Automáticas (EMAS). In: Observando el Tiempo [Internet] . 2023 . Available: https://smn.conagua.gob.mx/es/observando-el-tiempo/estaciones-meteorologicas-automaticas-ema-s 62. ↵ Sinka ME , Rubio-Palis Y , Manguin S , Patil AP , Temperley WH , Gething PW , et al. The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis . Parasit Vectors . 2010 ; 3 : 72 . doi: 10.1186/1756-3305-3-72 OpenUrl CrossRef PubMed 63. ↵ Sardelis MR , Turell MJ , Watts DM , Jones JW , Fernandez R , Reinbold-Wasson DD , et al. Determinants of Anopheles Seasonal Distribution Patterns Across a Forest to Periurban Gradient near Iquitos, Peru . Am J Trop Med Hyg . 2012 ; 86 : 459 – 463 . doi: 10.4269/ajtmh.2012.11-0547 OpenUrl Abstract / FREE Full Text 64. ↵ Loetti V , Burroni N , Vezzani D . Seasonal and daily activity patterns of human-biting mosquitoes in a wetland system in Argentina . J Vector Ecol . 2007 ; 32 : 358 – 365 . doi:10.3376/1081-1710(2007)32[358:sadapo]2.0.co;2 OpenUrl CrossRef PubMed Web of Science 65. ↵ Uelmen JA , Lamcyzk B , Irwin P , Bartlett D , Stone C , Mackay A , et al. Human biting mosquitoes and implications for West Nile virus transmission . Parasit Vectors . 2023 ; 16 : 2 . doi: 10.1186/s13071-022-05603-1 OpenUrl CrossRef 66. ↵ Galardo AKR , Hijjar A V , Falcão LLO , Carvalho DP , Ribeiro KAN , Silveira GA , et al. Seasonality and Biting Behavior of Mansonia (Diptera, Culicidae) in Rural Settlements Near Porto Velho, State of Rondônia , Brazil. Sallum MA, editor. J Med Entomol . 2022 ; 59 : 883 – 890 . doi: 10.1093/jme/tjac016 OpenUrl CrossRef 67. ↵ de Mello CF , Figueiró R , Roque RA , Maia DA, da Costa Ferreira V, Guimarães AÉ, et al. Spatial distribution and interactions between mosquitoes (Diptera: Culicidae) and climatic factors in the Amazon, with emphasis on the tribe Mansoniini . Sci Rep . 2022 ; 12 : 16214 . doi: 10.1038/s41598-022-20637-2 OpenUrl CrossRef 68. ↵ Santos EB , Favretto MA , Müller GA . When and what time? On the seasonal and daily patterns of mosquitoes (Diptera: Culicidae) in an Atlantic Forest remnant from Southern Brazil . Austral Entomol . 2020 ; 59 : 337 – 344 . doi: 10.1111/aen.12454 OpenUrl CrossRef 69. ↵ Coddington JA , Agnarsson I , Miller JA , Kuntner M , Hormiga G . Undersampling bias: the null hypothesis for singleton species in tropical arthropod surveys . J Anim Ecol . 2009 ; 78 : 573 – 584 . doi: 10.1111/j.1365-2656.2009.01525.x OpenUrl CrossRef PubMed Web of Science 70. ↵ Talaga S , le Goff G , Arana-Guardia R , Baak-Baak CM , García-Rejón JE , García-Suárez O , et al. The mosquitoes (Diptera: Culicidae) of the Mexican Yucatan Peninsula: a comprehensive review on the use of taxonomic name s. Wilkerson R, editor. J Med Entomol . 2024 ; 61 : 274–308. doi: 10.1093/jme/tjad168 OpenUrl CrossRef 71. ↵ Asigau S , Salah S , Parker PG . Assessing the blood meal hosts of Culex quinquefasciatus and Aedes taeniorhynchus in Isla Santa Cruz, Galápagos . Parasit Vectors . 2019 ; 12 : 584 . doi: 10.1186/s13071-019-3835-7 OpenUrl CrossRef 72. ↵ Getachew D , Tekie H , Gebre-Michael T , Balkew M , Mesfin A . Breeding Sites of Aedes aegypti : Potential Dengue Vectors in Dire Dawa, East Ethiopia . Interdiscip Perspect Infect Dis . 2015 ; 2015 : 1 – 8 . doi: 10.1155/2015/706276 OpenUrl CrossRef PubMed 73. ↵ Zogo B , Koffi AA , Alou LPA , Fournet F , Dahounto A , Dabiré RK , et al. Identification and characterization of Anopheles spp. breeding habitats in the Korhogo area in northern Côte d’Ivoire: a study prior to a Bti-based larviciding intervention . Parasit Vectors . 2019 ; 12 : 146 . doi: 10.1186/s13071-019-3404-0 OpenUrl CrossRef 74. ↵ Lucas KJ , Watkins A , Phillips N , Appazato DJ , Linn P . The Impact of Hurricane Irma on Population Density of the Black Salt-Marsh Mosquito, Aedes taeniorhynchus, in Collier County, Florida . J Am Mosq Control Assoc . 2019 ; 35 : 71 – 74 . doi: 10.2987/18-6793.1 OpenUrl CrossRef 75. ↵ Câmara DCP , Pinel C da S, Rocha GP, Codeço CT, Honório NA. Diversity of mosquito (Diptera: Culicidae) vectors in a heterogeneous landscape endemic for arboviruses . Acta Trop . 2020 ; 212 : 105715 . doi: 10.1016/j.actatropica.2020.105715 OpenUrl CrossRef 76. ↵ Mangudo C , Aparicio JP , Gleiser RM . Tree holes as larval habitats for Aedes aegypti in urban, suburban and forest habitats in a dengue affected area . Bull Entomol Res . 2015 ; 105 : 679 – 684 . doi: 10.1017/S0007485315000590 OpenUrl CrossRef 77. ↵ Ndenga BA , Mutuku FM , Ngugi HN , Mbakaya JO , Mukoko D , Kitron U , et al. Night Time Extension of Aedes aegypti Human Blood Seeking Activity . Am J Trop Med Hyg . 2022 ; 107 : 208 – 210 . doi: 10.4269/ajtmh.21-0309 OpenUrl CrossRef 78. ↵ Rund SSC , Labb LF , Benefiel OM , Duffield GE . Artificial Light at Night Increases Aedes aegypti Mosquito Biting Behavior with Implications for Arboviral Disease Transmission . Am J Trop Med Hyg . 2020 ; 103 : 2450 – 2452 . doi: 10.4269/ajtmh.20-0885 OpenUrl CrossRef PubMed 79. ↵ Shope RE . Epidemiology of Other Arthropod-Borne Flaviviruses Infecting Humans. In: Chambers TJ, Monath TP, editors. The Flaviviruses: Detection , Diagnosis, and vaccine development. Elsevier ; 2003 . pp. 373 – 391 . doi: 10.1016/S0065-3527(03)61009-2 OpenUrl CrossRef PubMed 80. ↵ Aguilar P V , Estrada-Franco JG , Navarro-Lopez R , Ferro C , Haddow AD , Weaver SC . Endemic Venezuelan equine encephalitis in the Americas: hidden under the dengue umbrella . Future Virol . 2011 ; 6 : 721 – 740 . doi: 10.2217/fvl.11.50 OpenUrl CrossRef PubMed Web of Science 81. ↵ Plante JA , Plante KS , Popov VL , Shinde DP , Widen SG , Buenemann M , et al. Morphologic and Genetic Characterization of Ilheus Virus, a Potential Emergent Flavivirus in the Americas . Viruses . 2023 ; 15 : 195 . doi: 10.3390/v15010195 OpenUrl CrossRef 82. ↵ Weaver SC , Barrett ADT . Transmission cycles, host range, evolution and emergence of arboviral disease . Nat Rev Microbiol . 2004 ; 2 : 789 – 801 . doi: 10.1038/nrmicro1006 OpenUrl CrossRef PubMed Web of Science 83. ↵ Canales-Delgadillo JC , Benítez-Orduña E , Pérez-Ceballos R , Jiménez-Zaldívar A , Gómez-Ponce M , Cardoso-Mohedano JG , et al. Inter-annual diversity of birds in the shoreline of an island in the southern Gulf of Mexico . Huit Rev Mex Ornitol . 2020 ; 21 . doi: 10.28947/hrmo.2020.21.1.433 OpenUrl CrossRef 84. ↵ del Carpio-Orantes L , González-Clemente M del C, Lamothe-Aguilar T. Zika and its vector mosquitoes in Mexico . J Asia-Pacific Biodivers . 2018 ; 11 : 317 – 319 . doi: 10.1016/j.japb.2018.01.002 OpenUrl CrossRef 85. ↵ Abella-Medrano CA , Ibáñez-Bernal S , Carbó-Ramírez P , Santiago-Alarcon D . Blood- meal preferences and avian malaria detection in mosquitoes (Diptera: Culicidae) captured at different land use types within a neotropical montane cloud forest matrix . Parasitol Int . 2018 ; 67 : 313 – 320 . doi: 10.1016/j.parint.2018.01.006 OpenUrl CrossRef 86. ↵ Abella-Medrano CA , Roiz D, Islas CG, Salazar-Juárez CL, Ojeda-Flores R . Assemblage variation of mosquitoes (Diptera: Culicidae) in different land use and activity periods within a lowland tropical forest matrix in Campeche, Mexico . J Vector Ecol . 2020 ; 45 : 188 – 196 . doi: 10.1111/jvec.12389 OpenUrl CrossRef 87. ↵ Abreu FVS de, de Andreazzi CS, Neves MSAS, Meneguete PS, Ribeiro MS, Dias CMG, et al. Ecological and environmental factors affecting transmission of sylvatic yellow fever in the 2017–2019 outbreak in the Atlantic Forest, Brazil . Parasit Vectors . 2022 ; 15 : 23 . doi: 10.1186/s13071-021-05143-0 OpenUrl CrossRef 88. ↵ Monath TP. Yellow Fever. Encyclopedia of Insects. Elsevier ; 2009 . pp. 1064 – 1065 . doi: 10.1016/B978-0-12-374144-8.00279-4 89. ↵ Deardorff ER , Weaver SC . Vector Competence of Culex (Melanoconion) taeniopus for Equine-Virulent Subtype IE Strains of Venezuelan Equine Encephalitis Virus . Am J Trop Med Hyg . 2010 ; 82 : 1047 – 1052 . doi: 10.4269/ajtmh.2010.09-0556 OpenUrl Abstract / FREE Full Text 90. Newman CM , Cerutti F , Anderson TK , Hamer GL , Walker ED , Kitron UD , et al. Culex Flavivirus and West Nile Virus Mosquito Coinfection and Positive Ecological Association in Chicago , United States. Vector-Borne Zoonotic Dis . 2011 ; 11 : 1099 – 1105 . doi: 10.1089/vbz.2010.0144 OpenUrl CrossRef PubMed Web of Science 91. ↵ Sames WJ , Mann JG , Kelly R , Evans CL , Varnado WC , Bosworth AB , et al. Distribution of Culex coronator in the USA . J Am Mosq Control Assoc . 2021 ; 37 : 1 – 9 . doi: 10.2987/21-6995.1 OpenUrl CrossRef 92. ↵ Johnson KM , Antczak DF , Dietz WH , Martin DH , Walton TE . The Crab Hole Mosquito Blues . Emerg Infect Dis . 2011 ; 17 : 923 – 927 . doi: 10.3201/eid1705.101412 OpenUrl CrossRef PubMed 93. ↵ Baak-Baak CM , Moo-Llanes DA , Cigarroa–Toledo N, Puerto FI, Machain-Williams C, Reyes-Solis G, et al. Ecological Niche Model for Predicting Distribution of Disease- Vector Mosquitoes in Yucatán State, México . J Med Entomol . 2017 ; 54 : 854 – 861 . doi: 10.1093/jme/tjw243 OpenUrl CrossRef 94. ↵ Duguma D , Hall MW , Smartt CT , Debboun M , Neufeld JD . Microbiota variations in Culex nigripalpus disease vector mosquito of West Nile virus and Saint Louis Encephalitis from different geographic origins . PeerJ . 2019 ; 6 : e6168 . doi: 10.7717/peerj.6168 OpenUrl CrossRef 95. ↵ Ortega-Morales AI , Nava MR . Mosquito Species of Neighboring States of Mexico. Mosquitoes , Communities, and Public Health in Texas. Elsevier ; 2020 . pp. 279 – 306 . doi: 10.1016/B978-0-12-814545-6.00009-2 OpenUrl CrossRef 96. ↵ Velásquez G. Bionomía, ecología e importancia médica de Coquillettidea Rhynchotaenia venezuelensis Theobald, 1912 (Díptera: Culicidae) . Saber. 2014;26: 105–113. Available: http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1315-01622014000200002&lng=es&nrm=iso&tlng=es 97. Dutra HLC , Caragata EP , Moreira LA . The re-emerging arboviral threat: Hidden enemies . BioEssays . 2017 ; 39 : 1600175 . doi: 10.1002/bies.201600175 OpenUrl CrossRef 98. ↵ Celone M , Okech B , Han BA , Forshey BM , Anyamba A , Dunford J , et al. A systematic review and meta-analysis of the potential non-human animal reservoirs and arthropod vectors of the Mayaro virus. Yakob L, editor . PLoS Negl Trop Dis . 2021 ; 15 : e0010016 . doi: 10.1371/journal.pntd.0010016 OpenUrl CrossRef 99. ↵ Turell MJ , Britch SC , Aldridge RL , Kline DL , Boohene C , Linthicum KJ . Potential for Mosquitoes (Diptera: Culicidae) From Florida to Transmit Rift Valley Fever Virus . J Med Entomol . 2013 ; 50 : 1111 – 1117 . doi: 10.1603/ME13049 OpenUrl CrossRef PubMed 100. ↵ Savage HM , Rejmánková E , Arredondo-Jiménez JI , Roberts DR , Rodríguez MH . Limnological and botanical characterization of larval habitats for two primary malarial vectors, Anopheles albimanus and Anopheles pseudopunctipennis, in coastal areas of Chiapas State, Mexico . J Am Mosq Control Assoc . 1990 ; 6 : 612 – 620 . OpenUrl PubMed Web of Science 101. Vázquez-martínez MG , Rodríguez MH , Arredondo-Jiménez JI , Méndez-Sánchez JD , Bond-Compeán JG , Gold-Morgan M . Cyanobacteria Associated with Anopheles albimanus (Diptera: Culicidae) Larval Habitats in Southern Mexico . J Med Entomol . 2002 ; 39 : 825 – 832 . doi: 10.1603/0022-2585-39.6.825 OpenUrl CrossRef PubMed 102. ↵ Wagman JM , Grieco JP , Bautista K , Polanco J , Briceño I , King R , et al. The field evaluation of a push-pull system to control malaria vectors in Northern Belize, Central America . Malar J . 2015 ; 14 : 184 . doi: 10.1186/s12936-015-0692-5 OpenUrl CrossRef PubMed 103. ↵ Licitra B , Chambers EW , Kelly R , Burkot TR . Detection of Dirofilaria immitis (Nematoda: Filarioidea) by Polymerase Chain Reaction in Aedes albopictus, Anopheles punctipennis, and Anopheles crucians (Diptera: Culicidae) From Georgia, USA . J Med Entomol . 2010 ; 47 : 634 – 638 . doi: 10.1093/jmedent/47.4.634 OpenUrl CrossRef PubMed 104. ↵ Genchi C , Kramer LH . The prevalence of Dirofilaria immitis and D. repens in the Old World . Vet Parasitol . 2020 ; 280 : 108995 . doi: 10.1016/j.vetpar.2019.108995 OpenUrl CrossRef 105. ↵ Mirahmadi H , Maleki A , Hasanzadeh R , Ahoo MB , Mobedi I , Rostami A . Ocular dirofilariasis by Dirofilaria immitis in a child in Iran: A case report and review of the literature . Parasitol Int . 2017 ; 66 : 978 – 981 . doi: 10.1016/j.parint.2016.10.022 OpenUrl CrossRef 106. ↵ Mendoza-Roldan JA , Gabrielli S , Cascio A , Manoj RRS , Bezerra-Santos MA , Benelli G , et al. Zoonotic Dirofilaria immitis and Dirofilaria repens infection in humans and an integrative approach to the diagnosis . Acta Trop . 2021 ; 223 : 106083 . doi: 10.1016/j.actatropica.2021.106083 OpenUrl CrossRef View the discussion thread. Back to top Previous Next Posted June 29, 2024. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Seasonal and hourly diversity patterns of anthropophagous female mosquito species in a semi-conserved area at the southern Mexico Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Seasonal and hourly diversity patterns of anthropophagous female mosquito species in a semi-conserved area at the southern Mexico Julio César Canales-Delgadillo , Nallely Vázquez-Pérez , Vicente Viveros-Santos , Rosela Pérez-Ceballos , José Gilberto Cardoso-Mohedano , Arturo Zaldívar-Jiménez , Omar Celis-Hernández , Alejandro Gómez-Ponce , Martín Merino-Ibarra bioRxiv 2024.06.25.600586; doi: https://doi.org/10.1101/2024.06.25.600586 Share This Article: Copy Citation Tools Seasonal and hourly diversity patterns of anthropophagous female mosquito species in a semi-conserved area at the southern Mexico Julio César Canales-Delgadillo , Nallely Vázquez-Pérez , Vicente Viveros-Santos , Rosela Pérez-Ceballos , José Gilberto Cardoso-Mohedano , Arturo Zaldívar-Jiménez , Omar Celis-Hernández , Alejandro Gómez-Ponce , Martín Merino-Ibarra bioRxiv 2024.06.25.600586; doi: https://doi.org/10.1101/2024.06.25.600586 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Ecology Subject Areas All Articles Animal Behavior and Cognition (7652) Biochemistry (17752) Bioengineering (13936) Bioinformatics (42084) Biophysics (21501) Cancer Biology (18655) Cell Biology (25586) Clinical Trials (138) Developmental Biology (13410) Ecology (19949) Epidemiology (2067) Evolutionary Biology (24378) Genetics (15639) Genomics (22562) Immunology (17779) Microbiology (40505) Molecular Biology (17219) Neuroscience (88825) Paleontology (667) Pathology (2845) Pharmacology and Toxicology (4840) Physiology (7666) Plant Biology (15182) Scientific Communication and Education (2048) Synthetic Biology (4305) Systems Biology (9840) Zoology (2274)
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.