Changes in the distribution of simuliid species and their disease transmission pattern may occur in response to climatic and environmental factors. Simuliid larvae were prospected in 34 rivers of Nasarawa State from January 2010 to December 2010. A total of 198,420 simuliid larvae collected were found to belong to six species as follows: S. damnosum s.l. (72.13%), S. adersi (24.31%), S. ruficorne (2.52%), S. cervicornutum (0.69%), S. alcocki (0.68%), and S. schoutedeni (0.17%). The monthly sample indicated continuous breeding throughout the year with peaks in July, August and September. The density of black fly larvae was estimated from samples collected on water plants per 1 dm2 of water plant surface. The study showed that both physicochemical and ecological parameters influenced the density of simuliids. Correlation analysis showed a significant relationship between simuliids density and the environmental factors. Data on prevalence and distribution of simuliids in Nasarawa State are sparse and scanty. Therefore, the result of this study provides additional information on the distribution and density of simuliids in Nasarawa State, Nigeria.
There are about 2072 species of black flies in the world today, with 2060 living and 12 extinct [
Simuliids have been reported breeding throughout the year in Florida, and their distribution is favoured by high temperatures [
Many environmental factors (biotic and abiotic) have been associated with the richness and variation in simuliids species composition. The variations in diversity might originate from differences in environmental factors among sites and niche differences between the different species [
The size of Simulium pupae depends upon the availability of food material during larval development. When plankton is less abundant (e.g. during drought), pupae are smaller [
Nasarawa State habours different species of simuliids [
Nasarawa State falls along the low altitude zones where temperatures are high throughout the year making it suitable for the flies to produce many generations in a given year. The study on some physicochemical parameters of simuliids breeding water is important for the comprehensive understanding of the distribution and ecology of simuliids. This study was initiated to investigate the distribution and the density of simuliid species including the relationship between biotic and abiotic factors influencing simuliid density and environmental preferences in 34 rivers of Nasarawa State. Frequent sampling was therefore, adopted to determine how species distributions respond to climatic and environmental changes.
Nasarawa State is located on latitude 7˚45' and 9˚25'N, longitude 7˚ and 9˚37'E of the Greenwich meridian [
The vegetation type of Nasarawa State is the guinea savanna, which itself is a derivative of the tropical deciduous forest. The vegetation is largely a characteristic of southern guinea savanna and some element of northern guinea savanna with interspersion of thicket grassland, tree savanna, woodlands or gallery forest along the valleys. It is also called woodland savanna or parkland savanna [
This study was conducted in eight [
The rivers from selected L.G.As. of Nasarawa state were divided into temporary and permanent rivers for the purpose of this study. Sampling sites were chosen from each river and rivers were divided into, shaded or forested or open land. Human activities around the river e.g. farming, fishing, washing, bathing, block making or mechanic workshop. Foot paths linking villages across the rivers were also noted. Commercial and other activities around the rivers were noted. The river bed substratum was divided into mud, sand and rubble.
Aquatic stages of simuliids were sampled from 34 rivers covering 8 Local government areas in Nasarawa State. The sampling locations were selected based on rivers crossing only the major roads. Larvae and pupae of simuliids were sampled from all available substrates found in the habitat every month from January to December 2010.
Immature stages of simuliids were found in running water at rapids and rivulets attached to any fixed submerged surface substrates such as water plants, trailing roots and branches and leaves, stones, inclined rock surfaces, cans, bottles, plastics and logs of wood. The immature stages were pick using gold plated fine entomological pins into bijou bottles containing ice cold 1:3 glacial acetic acid and ethanol (carnoys solution) in ice chest. The content was renewed before leaving the river and change before driving away and finally changes again in the laboratory. This is to ensure that water is completely drained away for good preservation. The larvae and pupae were preserved in 1:3 glacial acetic acid and ethanol solution for morphological identifications in the laboratory. Standard procedures were used for morphological identification of simuliids [
Water samples were collected from the 34 rivers (in 250 ml beaker) and analyze using digital Hanna instrument model HI98129. Water parameters such as pH, water temperature, conductivity and total dissolve substances were measured.
Standard sampling protocol for measuring width and depth of the river, water current velocity and river bed bottom were followed [
Data analysis was carried out to determine the relationship between simuliids density and each water parameter using correlation analysis to determine the fitness for the presence of different species of simuliid. Principal component analysis (PCA) followed by Varimax rotation were used to collapse water parameters and physicochemical parameters into smaller number of statistically independent principal components to determine their association with the simuliids distribution and density. Simuliids densities among the various locations in the L.G.As and rivers were compared using one way ANOVA.
Simuliids sampled in Nasarawa State revealed six species as shown on
Seven physicochemical parameters were analyzed and their effect on the breeding pattern of simuliids determined (
Ecological survey revealed that some species of simuliids preferred certain rivers and had preference for
Species | No. sampled | Percentage (%) |
---|---|---|
S. damnosum | 143,125 | 72.13 |
S. alcocki | 1358 | 0.68 |
S. adersi | 47,238 | 24.31 |
S. ruficorne | 5008 | 2.52 |
S. schoutedeni | 331 | 0.17 |
S. cervicornutum | 1360 | 0.69 |
S. damnosum | 143,125 | 72.13 |
Total | 198,420 | 100% |
certain types of substrates and substratum irrespective of the river width and depth at which larvae were found (
Rivers in Nasarawa State are two categories permanent or temporary river. Permanent rivers supported all year round breeding. The present investigation has tried to give a detailed and comprehensive report on the prevalence of simuliid species in relationship to various physicochemical water parameters across 34 rivers in Nasarawa State. S. damnosum s.l. constitutes the most common and the most spread species recorded in almost all the rivers investigated. A total of six species recorded earlier [
Of the 34 rivers investigated for simuliid species only 2 rivers (Idari and Agada) did not record any species. Simuliids were absent probably because the rivers have sandy and muddy bottoms and some areas are swampy and therefore, lack strong water flow. It was observed that more than one species of simuliid larvae coexists in the same river within the same microhabitat.
It was earlier reported that the distribution of immature stages of simuliids is influenced by rainfall [
The simuliid immature stages are usually found attached to trailing roots, leaves, sticks, stems, stone surfaces, twigs and grasses which are usually about 5 cm below the water surface [
The prevalence of aquatic stages of simuliids in rivers acts as biological indicator of the river’s health, which is often considered analogous to human health [
In this study physicochemical parameters including pH, conductivity, total dissolved substances, width, velocity, oxygen concentration and temperature influence in various ways the simuliid density and distribution in rivers. Each species of simuliid prefers different physicochemical parameters which are specific for a particular species [
Rivers | pH | Conductivity (µs) | Dissolved Substances (ppm) | Width (m) | Temperature (˚C) | Velocity (m/s) | Oxygen Saturation (mg/l) | Simullids (immature stages) |
---|---|---|---|---|---|---|---|---|
Mada-Hills | 7.42 | 352.42 | 173.75 | 11.5 | 28.59 | 0.11 | 9.49 | 1303 |
Mada | 7.56 | 69 | 34.75 | 443.8 | 28.53 | 0.13 | 9.97 | 8257 |
Richa | 6.06 | 31.58 | 518.8 | 4.6 | 29.26 | 0.1 | 9.52 | 9767 |
Mada-Station | 7.69 | 113.42 | 57.7 | 476 | 30.13 | 0.21 | 9.20 | 29,028 |
Wewe | 7.25 | 109.67 | 61.33 | 15.7 | 29.37 | 0.15 | 9.15 | 5321 |
Kwase | 7.23 | 57.17 | 26.75 | 13.2 | 28.92 | 0.13 | 8.27 | 5054 |
Ubbe | 7.32 | 99.83 | 43.83 | 12.6 | 28.65 | 0.1 | 9.56 | 5321 |
Lambaga | 7.6 | 50.5 | 34.8 | 7.3 | 30.31 | 0.12 | 8.38 | 3016 |
GadaI | 7.48 | 56.1 | 28.4 | 10.5 | 30.37 | 0.13 | 9.29 | 4009 |
GadaII | 743 | 50.2 | 25.1 | 8.6 | 30.48 | 0.1 | 8.89 | 2046 |
GadaIII | 7.59 | 46.4 | 26.3 | 24.6 | 30.29 | 0.13 | 9.00 | 1254 |
Kuwa | 7.2 | 74.75 | 36.42 | 7.9 | 29.82 | 0.14 | 9.72 | 829 |
Toto | 7.07 | 194 | 97.75 | 10.5 | 30.09 | 0.13 | 9.57 | 1360 |
Nyangi | 7.52 | 97.33 | 48.83 | 56 | 29 | 0.16 | 9.97 | 5748 |
GudunKarya | 7.46 | 138.08 | 63.58 | 7.6 | 28.13 | 0.14 | 9.56 | 4025 |
Nakuse | 7.26 | 725.5 | 299.33 | 6.4 | 28.9 | 0.11 | 9.45 | 1381 |
Gadabuke | 7.53 | 272.5 | 131.5 | 13.5 | 29.24 | 0.12 | 9.97 | 1276 |
Areba | 7.53 | 83.5 | 41.42 | 13.9 | 29.43 | 0.12 | 9.56 | 5969 |
Angwan-Kwara | 7.6 | 257 | 122.92 | 3.2 | 28.93 | 0.13 | 9.78 | 2153 |
NSUK | 7.42 | 379.17 | 136.5 | 1.4 | 28.98 | 0.16 | 9.62 | 29,682 |
Antau | 7.5 | 324 | 137.25 | 21 | 28.64 | 0.1 | 9.49 | 329 |
Mile-5 | 7.54 | 58.42 | 30.92 | 226 | 28.82 | 0.18 | 9.53 | 7937 |
Jarmai | 7.32 | 96.88 | 54.13 | 3.7 | 29.38 | 0.09 | 9.53 | 1400 |
Ando | 7.51 | 67.42 | 33.92 | 48 | 29.44 | 0.13 | 9.09 | 49,434 |
Bakin-Anini | 7.55 | 75.17 | 37.25 | 12.2 | 29.76 | 0.11 | 8.96 | 11,325 |
Kampani | 7.35 | 74.25 | 36.75 | 9.6 | 29.77 | 0.12 | 9.52 | 648 |
Mandara | 7.37 | 112.25 | 51.92 | 12.3 | 30.08 | 0.12 | 9.33 | 214 |
Dam-outlet | 7.49 | 82.33 | 41.25 | 17.8 | 30.48 | 0.14 | 9.30 | 320 |
Prepu | 7.28 | 145.92 | 74.25 | 2.3 | 30.55 | 0.15 | 9.94 | 281 |
Wange | 7.16 | 135.92 | 107.33 | 8.3 | 30.26 | 0.14 | 9.85 | 392 |
Kilima | 7.17 | 510.92 | 232.33 | 4.7 | 30.1 | 0.11 | 9.53 | 283 |
Obi | 7.18 | 92.75 | 44.83 | 3.5 | 30.28 | 0.11 | 9.34 | 58 |
Rivers | Width (m) | Simuliid species | Species density | Substratum | Substrates | Algae growth |
---|---|---|---|---|---|---|
Mada- Hills | 11.5 | S. damnosum | 3903 | Rubble | both dry and wet leaves, roots, rock | Absent |
Mada | 443.8 | S. alcoki | 1358 | Rubble | stones, grasses, sticks and stems | Absent |
S. damnosum | 6849 | |||||
Richa | 4.6 | S. ruficorne | 3804 | Rubble | both dry and wet leaves, grasses | Absent |
S. damnosum | 5963 | |||||
Mada-Station | 476 | S. adersi | 7289 | Rubble | both dry and wet leaves, roots, rock surfaces, stones, grasses, sticks | Absent |
S. damnosum | 21,689 | |||||
Wewe | 15.7 | S. damnosum | 2848 | Rubble | both dry and wet leaves, grasses | Absent |
Kwase | 13.2 | S. damnosum | 3054 | Rubble | both dry and wet leaves, roots, grasses both dry, sticks | Absent |
Ubbe | 12.6 | S. damnosum | 5321 | Rubble | Absent | |
Lambaga | 7.3 | S. damnosum | 2129 | Rubble | Absent | |
S. adersi | 887 | both dry and wet leaves, both dry and wet leaves, grasses, sticks, stems | ||||
Gada I | 10.5 | S. damnosum | 4009 | Rubble | Absent | |
Gada II | 8.6 | S. damnosum | 2146 | Rubble | Absent | |
Gada III | 24.6 | S. damnosum | 1254 | Rubble | Absent | |
Kuwa | 7.9 | S. ruficorne | 498 | Sand | dry and wet leaves | Absent |
S. schoutedeni | 331 | |||||
Toto | 10.5 | S. cervicornutum | 1360 | Sand | dry bamboo leaves, wet and dry grasses | Absent |
Nyangi | 56 | S. damnosum | 5748 | Rubble | both dry and wet leaves, roots, rock surfaces, stones, grasses, sticks and stems | Absent |
Gudun-Karya | 7.6 | S. damnosum | 4025 | Rubble | Absent | |
Nakuse | 6.4 | S. damnosum | 1381 | Rubble | Absent | |
Gadabuke | 13.5 | S. adersi | 1276 | Rubble | leaves and grasses | Absent |
Areba | 13.9 | S. damnosum | 3854 | Rubble | both dry and wet leaves | Absent |
S. adersi | 2115 | |||||
Angwan-Kwara | 3.2 | S. damnosum | 2153 | Rubble | dry and wet grasses, stones | Present |
NSUK | 1.4 | S. damnosum | 29,655 | Mud | dry and wet grasses and sticks | Absent |
Antau | 21 | S. damnosum | 329 | Sand | dry and wet grasses and sticks | present |
Mile-5 | 226 | S. damnosum | 2744 | Rubble | Both dry and wet leaves, roots, rock surfaces, stones, grasses and stems both dry and wet leaves, | Absent |
S. adersi | 5193 | |||||
Jarmai | 3.7 | S. damnosum | 1400 | Rubble | Absent | |
Ando | 48 | S. adersi | 49434 | Rubble | Absent | |
Bakin-Anini | 12.2 | S. damnosum | 11,325 | Sand | dry and wet grasses and sticks | Absent |
Kampani | 9.6 | S. ruficorne | 648 | Sand | dry and wet grasses | Absent |
Mandara | 12.3 | S. damnosum | 214 | Sand | dry and wet grasses and sticks | Absent |
Dam-outlet | 17.8 | S. damnosum | 320 | Rubble | stones, dry and wet grasses and sticks | Absent |
Prepu | 2.3 | S. damnosum | 850 | Sand | Stems, dry leaves | Present |
S. adersi | 431 | |||||
Wange | 8.3 | S. adersi | 392 | Sand | dry and wet grasses and sticks | Present |
Kilima | 4.7 | S. damnosum | 283 | Sand | dry and wet grasses and sticks | Present |
Obi | 3.5 | S. ruficorne | 58 | Mud | dry and wet grasses and sticks | Absent |
It is to be noted that while some of the rivers were temporary and dry up completely, others were perennial and supported breeding of simuliid larvae all year round. It was observed that breeding that was reduced to a few sites in the dry season extended very quickly over larger areas of potential breeding in wet season as they become submerged. This explains the fact that simuliids were capable of long distance movement. They have been reported to fly from10 to 400 km away from their breeding sites [
The density of simuliids larvae was estimated from samples collected on water plants per 1 dm2 of water plant surface. The observation of increase in population density of simuliid larvae in the months of July, August and September in this study differs from the all year breeding reported in Florida [
Previous reports have it that high temperature favours early completion of life cycle, resulting in many generations in a given year. Twenty or more generations has been reported in a year in some hot countries due to high and favourable temperatures [
The presence of algae was found to limit larvae density even on the preferred plants especially in the dry season. Algae colonization of plant surfaces was high in rivers Kilima and Wange in Lafia LGA and river Prepu in Doma LGA. Algae are not likely unconnected to larval migration and these conditions occurred most readily when the water current velocity is slow giving room for algal bloom. This condition was observed between January and June during the dry season when water level was low. This concurs with other reports [
Correlation analysis between the width of the river and the mean density of simuliid larvae in both temporary and permanent rivers showed a significant relationship, r = 0.816 and r = −0.201 respectively. This signified that black fly can breed in both small and large rivers in Nasarawa State. Water current velocity varies from 0.012 m/s to 0.702 m/s in the study sites. Correlation analysis revealed a significant relationship between water current velocity and the density of black fly in the rivers. This supports earlier reports that black flies bred in fast moving streams and they preferred water current velocities of 0.7 - 2 m・s−1 and 0.1 - 2.5 m・s−1 [
The breeding of simuliid larvae in both dry and wet season is an indication of serious risk to man and his animals in Nasarawa State which is known for subsistent agricultural (farming, poultry production, cattle rearing and fishing). The dominance of S. damnosum complex, the vector of human onchocerciasis, in most rivers in Nasarawa State presents potential risk for the area. This is a threat not only to the meat industry which is not enough to feed the ever rising population of Nigerians but also to tourism industry which government is trying to promote. The ability of the insect vector to fly over 400 km from their breeding sites poses a threat to the neighboring States of Benue, Plateau, Taraba, Kaduna and the Federal Capital territory, Abuja, giving the fact that most of the people are rural farmers living in close proximity to the rivers.