Introduction
Understanding a pest species' distribution and abundance is crucial for understanding its economic importance and management, and for predicting its future range and impact under climate change scenarios (Baskauf, Reference Baskauf2003; Battisti and Larsson, Reference Battisti, Larsson, Bjorkman and Niemela2015). This information can provide insights into the ecological requirements of the species, the success of an invasive population, the amount of effort required to eradicate or suppress that population, and the effectiveness of management and conservation strategies (Cerritos et al., Reference Cerritos, Wegier, Alavez and Soloneski2012; Dicko et al., Reference Dicko, Lancelot, Seck, Guerrini, Sall, Lo, Vreysen, Lefrançois, Fonta, Peck and Bouyera2014; Macfadyen et al., Reference Macfadyen, Mcdonald and Hill2018).
Stictococcus vayssierei was first reported as an agricultural pest in the early 1980s (Nonveiller, Reference Nonveiller1984). Its development displays neometabolan metamorphosis in males with five developmental stages and incomplete metamorphosis in females with three developmental stages (Richard, Reference Richard1971; Williams et al., Reference Williams, Matile-Ferrero and Miller2010). Males have rudimentary mouthparts and do not feed; consequently, they are tiny and short-lived, and adult males are rarely observed in the field. Females feed by sucking sap from underground shoots, stems, and roots of their host plants; they are much larger and longer-lived than males, are often abundant and conspicuous, and are responsible for all the damage to host plants. The host range of S. vayssierei includes more than 16 plant species belonging to 13 families. Cassava (Manihot esculenta Crantz), aroids (cocoyam Xanthosoma sagittifolium (L.) Schott and taro Colocasia esculentus (L.) Schott) and yams (Dioscorea spp. (L.)), collectively referred to as root and tuber crops (RTs), are the most infested plant species (Tindo et al., Reference Tindo, Hanna, Goergen, Zapfack, Tata-Hangy and Attey2009), hence its common name the African root and tuber scale (ARTS). RTs constitute a staple or subsidiary food for more than a quarter of the world's population. They are produced with very low inputs and they are also used as animal feed and as raw material for processing industries (Scott et al., Reference Scott, Rosegrant and Ringler2000; Janssens, Reference Janssens and Raemaekers2001; Westby, Reference Westby, Hillocks, Thresh and Bellotti2002; Kenyon et al., Reference Kenyon, Anandajayasekeram and Ochieng2006; Graziosi and Wyckhuys, Reference Graziosi, Wyckhuys and Hershey2017). RTs are the second most cultivated agricultural products in tropical countries, after cereals (Lebot, Reference Lebot2009). Most of the world's production occurs in Africa (FAO, 2016) despite continue yield gap widening due to multiple interacting constraints (Fermont et al., Reference Fermont, van Asten, Tittonell, van Wijk and Giller2009; Tittonell and Giller, Reference Tittonell and Giller2013). Together, cassava, aroids and yams represent 92% of total RT production in the Congo basin, with cassava comprising more than half (FAO, 2016).
The pest status of ARTS has been documented in many countries around Central Africa following outbreaks of its populations in the late 1980s, whose causes are still poorly understood. However, recent research has shown that conversion of forest into cropland promotes the dominance of the ant Anoplolepis tenella (Fotso et al., Reference Fotso, Hanna, Tindo, Nanga and Nagel2015a), which is intimately associated with ARTS and contributes to the build-up of its populations (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996; Hanna et al., Reference Hanna, Tindo, Wijnans, Goergen, Tata-Hangy, Lema, Toko, Ngeve, Dixon and Gockowski2004; Tata-Hangy et al., Reference Tata-Hangy, Hanna, Toko, Lema, Solo, Mahungu and Manyong2006; Fotso et al., Reference Fotso, Hanna, Tindo and Nagel2015b; Toko et al., Reference Toko, Neuenschwander, Yaninek, Ortega-Beltran, Fanou, Zinzou, Wydra, Hanna, Fotso, Kpindou, Neuenschwander and Tamo2019). Early bulking stages of the cassava are particularly susceptible to high levels of scale infestation (Ambe et al., Reference Ambe, Ntonifor, Awah and Yaninek1999; Tchuanyo et al., Reference Tchuanyo, Van Huis and Van Lenteren2000; Tata-Hangy et al., Reference Tata-Hangy, Hanna, Toko, Lema, Solo, Mahungu and Manyong2006). Host plant residues in fallow are a scale reservoir and constitute the source for the infestation of newly established fields (Tindo et al., Reference Tindo, Hanna, Goergen, Zapfack, Tata-Hangy and Attey2009). Pest frequency on cassava plants increased from 12.5% in 1990 to 87.5% in 1994. The scale caused puny stems, extensive leaf fall, wilting, tip die-back and plant death. Plants that survived pest infestation yielded small and deformed storage roots, often covered with scales, and therefore unattractive to purchasers. At times, heavy infestation completely prevented bulking of the roots (Ngeve, Reference Ngeve1995; Lutete et al., Reference Lutete, Tata-Hangy and Kasu1997; Ambe et al., Reference Ambe, Ntonifor, Awah and Yaninek1999; Bani et al., Reference Bani, Mapangou Divassa, Nzemba and Magem2003). The pest can cause up to 27% depletion in cassava root yield (Ngeve, Reference Ngeve2003). Details of the impacts on cassava, aroid and yam yields are still to be documented.
Scale insects of the family Stictococcidae are only known from Africa, where they are distributed between 12° North and 20° South latitude (Richard, Reference Richard1971). S. vayssierei was first described by Richard (Reference Richard1971) from specimens collected from Cameroon in 1969 and from Central African Republic (CAR) in 1970. Previous data on its distribution are from an extensive survey in Cameroon (Tchuanyo et al., Reference Tchuanyo, Van Huis and Van Lenteren2000) and from more localized surveys in the Bas-Congo province in Democratic Republic of Congo (Lutete et al., Reference Lutete, Tata-Hangy and Kasu1997; Lema et al., Reference Lema, Tata-Hangy, Bidiaka and Ndambi2000) and the western region of the Republic of Congo (Bani et al., Reference Bani, Mapangou Divassa, Nzemba and Magem2003). The presence of S. vayssierei in Uganda and Equatorial Guinea was documented by Williams et al. (Reference Williams, Matile-Ferrero and Miller2010) based on specimens collected by G. Goergen and one of us (RH). The pest lives in a close relationship (trophobiosis) with many ant species among which A. tenella is the most frequent and is a good indicator of the scale presence (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996). This ant is actively involved in the transport and dissemination of the scale (Fotso et al., Reference Fotso, Hanna, Tindo and Nagel2015b). While the scale is reported from the forest and forest-transition habitat, evidence of its presence in the savannah is not established. Further, there was no record of A. tenella in this area (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996) before the current study.
RTs are mostly propagated through cuttings or tubers. Fresh products are often sold or shared among farmers at a local or regional scale. This may lead to the rapid spread of plant feeding insects, especially pests. The purpose of this study was to update our understanding of ARTS distribution in the Congo basin and to identify some biophysical factors that can affect its distribution and abundance, to facilitate a sustainable and integrated management of the pest. The study was part of a regional food security project focusing on Cameroon and the Democratic Republic of Congo which together accounts for 75% of total cassava production in Central Africa (FAO, 2016), with additional effort made in neighboring countries.
Materials and methods
Study area
Nine countries around west and central Africa were surveyed at different times of year between 2002 and 2015 (table S1, supplementary material). Extensive surveys were carried out in Cameroon and Democratic Republic of Congo (DRC) which together account for 75% of total cassava production in Central Africa (FAO, 2016). More localized surveys were conducted in northern Gabon (Woleu-Ntem province), northern Republic of Congo (Sangha province), southwestern CAR (provinces of Mambere-Kadei and Sangha-Mbaere), and southeastern Nigeria (Cross River State). These surveys were supplemented by casual observation in Chad, Equatorial Guinea, and Uganda, as well as in some localities of the above countries. Some countries (Cameroon, DRC, and Gabon) were visited at least three times, but others (CAR, Chad, Congo, Equatorial Guinea, Nigeria, and Uganda) were visited only once. However, not always the same fields or villages were revisited. Surveyed localities were grouped into 13 ecological regions (Olson and Dinerstein, Reference Olson and Dinerstein1998; WWF, 2010) including forest and savannah vegetation types (table S2, supplementary material). The climate of the surveyed regions is all equatorial or tropical. The seasonal distribution of precipitation is bimodal in areas close to the equator but becomes unimodal further north or south (Godard and Tabeaud, Reference Godard and Tabeaud2009). Cassava is grown in the area mostly in a smallholder system, usually in mixed crop fields with groundnut, maize, cocoyam, taro, and other crops. The number of cropping seasons depends on the rainfall pattern; in areas with bimodal rainfall, there are two cropping seasons. However, farmers usually maintain the plants in the fields for up to 2 years for the continued use of both the cassava roots, eaten for subsistence, and the cassava stems, used as the source of vegetative planting material.
Surveys
Based on the accessibility and the intensity of cassava cultivation of different localities, villages were selected at 20–30 km intervals along transects following major road axes. With the farmer's consent, one cassava field (4–8 months old) was visited in each village. Surveys were conducted between January and May or November and December, corresponding to the period of high scale infestation in cassava fields (Ambe et al., Reference Ambe, Ntonifor, Awah and Yaninek1999; Tchuanyo et al., Reference Tchuanyo, Van Huis and Van Lenteren2000; Tata-Hangy et al., Reference Tata-Hangy, Hanna, Toko, Lema, Solo, Mahungu and Manyong2006).
Sampling procedure
In each field, the global positioning system (GPS) coordinates were recorded. A destructive sampling protocol was applied with the farmer's consent and with financial compensation for the destroyed plants. The inspected plants were selected along the field's two major diagonals and uprooted to assess the presence or absence of the scale; when the scale was present, the number of female scales was recorded. Ten cassava plants were sampled in each field. The distance between two consecutive plants depended on the field size and shape and was chosen to be representative of the field area. When aroids (cocoyam or taro) were present in the field, 5–10 aroid plants were also sampled following the same protocol. Other known host plants of ARTS within the field or in the surrounding vegetation were also checked for the scale occurrence, up to a maximum of 30 plants sampled per field. However, for localized and casual surveys, sampling in some fields usually stopped after the scale presence was confirmed on few plants. The occurrence of A. tenella was evaluated by checking the presence of foraging workers in the field and under the uprooted plants (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996). When the scale was present, specimens were systematically collected for further taxonomic studies.
Data analysis
Occurrence data were pooled into two groups (2002–2008 and 2009–2015) over the survey period to assess the recurrence of the scale. Distribution maps based on the presence and absence data were designed with ArcMap (ArcGIS 10.3) using shape files of the ecological regions of central Africa (WWF, 2010). But further analyses focused on the spatial distribution of the species rather than the temporal distribution. ARTS' incidence (proportion of plants infested) and density (average number of scale insects per infested plants) were calculated from a subset of 99 fields where ARTS was present. The correlation between incidence and density was determined.
One-way analysis of variance was used to test the effect of crop species (cassava, cocoyam/taro) on scale incidence and density in 41 cassava–aroid mixed crop fields with positive ARTS occurrence. Means were separated using Tukey's HSD test. Regression analysis was used to evaluate the effect of altitude on scale density. Due to error in altitude given by GPS devices, elevation data used for analyses were gathered from the NASA SRTM3 worldwide database (90 m resolution) using the ‘best available source’ option of the GPS Visualizer program (www.gpsvisualizer.com). A χ2 test was used to assess the effect of vegetation type and ecological region on ARTS prevalence (proportion of infested fields). The percentage that each variable contributed to the total prevalence was calculated as the number of positive samples per category/total number of positive samples for each variable (Ngo Kanga et al., Reference Ngo Kanga, Waeyenberge, Hauser and Moens2012). A two-tail Fisher's exact test was used to evaluate the effect of A. tenella occurrence on scale prevalence. Principal components analysis (PCA) was used to identify major variation patterns among the sampling sites. PCA was performed with four environmental variables (latitude, longitude, altitude, and vegetation type). Vegetation type was expressed as a binary numeric code (1, savanna; 2, forest), according to vegetation cover. Only significant factor loadings above 0.5 were considered. The PCA was run based on correlations using multivariate methods.
Results
Geographical distribution
Between 2002 and 2015, 720 waypoints corresponding to villages were visited and georeferenced during surveys in the Congo basin (fig. 1a, b). ARTS presence was recorded in 266 localities (36.9%) distributed in seven out of the nine surveyed countries from latitude S5.6863 to N6.6878 and longitude E8.6003 to E30.0383. The scale insect was not found in the surveyed sites in Chad and Nigeria. At a regional scale, pest's occurrence remained constant across all regions surveyed during both the first (2002–2008) and the second period (2009–2015) of observation. Specimens were collected from 14 host plant species across the surveyed area: Cassava (M. esculenta Crantz), cocoyam (X. sagittifolium (L.) Schott), taro (C. esculentus (L.) Schott), yams (Dioscorea spp.), groundnut (Arachis hypogea L.), plantain (Musa spp.), eggplant (Solanum sp.), Amaranthus sp., ginger (Zingiber officinale Roscoe), Costus afer Ker. Gawl., Aframomum daniellii K. Schum., Palisota hirsuta K. Schum., and two unidentified leguminous plant species.
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20200305044846302-0672:S0007485319000658:S0007485319000658_fig1.png?pub-status=live)
Fig. 1. Distribution and density of the ARTS, S. vayssierei, in the Congo basin between 2002 and 2008 (a) and 2009 and 2015 (b). Highlighted points in the blue circle are from GPS coordinates listed in Bani et al. (Reference Bani, Mapangou Divassa, Nzemba and Magem2003).
Scale incidence and density
In ARTS-infested areas, incidence varied across surveyed localities from 13.3 to 100%, average 72.7 ± 2.5 (mean ± SE). Most surveyed localities (83.8%; n = 99) showed more than 40% infested plants. Mean density varied across localities from 1 to 1524 scales per plant, average 153.2 ± 20.1 (mean ± SE). Density significantly increased with incidence (r = 0.371, n = 99, P = 0) with less than 50% incidence at low density (1–50 scales per plant) and almost 90% incidence at high density (>250 scales plant).
Effect of crop plants on scale infestation
Across 41 surveyed cassava–aroid mixed crop fields where ARTS was found, the pest occurred on both cassava and aroids in 26 fields (63.4%), on cassava only in 13 fields (31.7%) and on aroid only in two fields (4.9%). Incidence and density were significantly higher on cassava compared to aroids. However, aroids were more infested than cassava in the savannah area while the opposite was observed in the forest area (table 1).
Table 1. Incidence (%) and density (scales per infested plant) (mean ± SE) of S. vayssierei on different crops in cassava–aroid mixed crop fields in different vegetation types
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Effect of altitude on scale density
ARTS did not occur below 277 m asl. Although there was no significant effect of altitude on scale density, ARTS tends to occur predominantly between 300 and 800 m (fig. 2). Prevalence was very low (4.8%) below 300 m. Lowlands are usually associated with coastal regions. But, although ARTS was scarce in coastal areas, it occurred on Mount Cameroon above 500 m altitude.
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20200305044846302-0672:S0007485319000658:S0007485319000658_fig2.png?pub-status=live)
Fig. 2. Scale density vs. altitude in agroecosystems around the Congo basin.
Effect of vegetation types and ecoregions on scale prevalence
S. vayssierei was present both in the forest and the savannah, but its prevalence was strongly affected by vegetation type and ecological region (table 2). Specifically, ARTS occurred predominantly in the forest (41.1%) and less in the savanna (9.2%). In the savannah habitat, ARTS was restricted to the Cameroonian highland forest where 30.8% of the fields were infested. In the forest habitat, the pest was commonly found in the Western Congolian forest-savanna mosaic (36%), the Albertine Rift montane forest (51.1%), the Northwestern Congolian lowland forest (71.8%) and the Mount Cameroon and Bioko montane forest (100%).
Table 2. Distribution of the ARTS S. vayssierei in the Congo basin in different vegetation types and ecological regions
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AECF, Atlantic Equatorial coastal forest; ARMF, Albertine Rift montane forest; CZMW, Central Zambezian Miombo woodland; CHF, Cameroonian highland forest; CSBCF, Cross-Sanaga Bioko coastal forest; CSF, Congolian swamp forest; ESS, East Sudanian savanna; MCBMF, Mount Cameroon and Bioko montane forest; NCFSM, Northern Congolian forest-savanna mosaic; NECLF, Northeastern Congolian lowland forest; NWCLF, Northwestern Congolian lowland forest; SCFSM, Southern Congolian forest-savanna mosaic; WCFSM, Western Congolian forest-savanna mosaic.
Scale–ant interaction
The presence of S. vayssierei was strongly associated with the occurrence of the ant A. tenella (χ2 = 569.6, n = 720, P < 0.0001). The two trophobionts were both absent in 61.4% of the surveyed fields. In the remaining fields, ARTS usually (87.1% of the sites) co-occurred with A. tenella (fig. 3).
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20200305044846302-0672:S0007485319000658:S0007485319000658_fig3.png?pub-status=live)
Fig. 3. Association between S. vayssierei and A. tenella in agroecosystems around the Congo basin.
Distribution associated with interrelated variables
In the PCA of environmental variables, two factors accounted for 80.22% of variance in the data set (table 3). Factors were a combination of all four explanatory variables tested. Factor 1 (Prin 1) represented a gradient of increasing latitude (0.62) and altitude (0.51) from left to the right. Factor 2 (Prin 2) represented a gradient of increasing latitude (0.52) and vegetation type (−0.65) changing from forest to savannah from bottom to top. ARTS occurred at lower latitude in the mid- and high-altitude in the forest and at northernmost latitude in the mid-altitude savannah (fig. 4).
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20200305044846302-0672:S0007485319000658:S0007485319000658_fig4.png?pub-status=live)
Fig. 4. Projection of sampled localities with ARTS absent (empty diamond) or present (black dot) on the planes defined by the two first factors of the PCA; along the x axis, longitude and altitude increased from left to right; along the y axis, latitude increased and vegetation type changed from forest to savannah from bottom to top.
Table 3. Eigen-vectors and eigen-values of principal components derived from environmental parameters used to characterize sampled localities in the Congo basin
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*p < 0.0001 for bold values.
Discussion
Surveys showed that the ARTS occurs in seven countries of the Congo basin neighborhood, from the Bioko island (Equatorial Guinea) to western Uganda and from northwestern Cameroon to southwestern DRC. In addition to earlier reports of the presence of the scale in Cameroon, CAR, Congo, Equatorial Guinea, DRC, and Uganda, the results of this study provide solid evidence of the scale's presence in new areas such as Gabon, northern Congo, southwestern CAR, southwestern Cameroon at mid-altitude on Mount-Cameroon, western Cameroon highlands, and northeastern DRC. Scale insects belonging to the family Stictococcidae are only known from Africa, where they are distributed between the 12th and 20th parallels respectively north and south latitude (Richard, Reference Richard1971). This distribution is similar to that of the African cassava belt (Williams et al., Reference Williams, Matile-Ferrero and Miller2010). The results of the current study will be useful for enhanced spatial analysis to predict the potential extend of occupancy at the edge of the current range and to highlight zones at risk of invasion in the future. Broadly, given the success of this species in exploiting cassava, we fear that it may expand its range westward, eastward, southward along the African cassava belt.
Overall densities were higher than those recorded in the 1990s (Tchuanyo et al., Reference Tchuanyo, Van Huis and Van Lenteren2000), with remarkably high densities observed in the area around the Cameroon–Gabon border. Factors that have led to the relatively rapid emergence of ARTS include land use pattern and association with ants. Indeed, forest conversion into cropland promotes the dominance of the ant A. tenella (Fotso et al., Reference Fotso, Hanna, Tindo, Nanga and Nagel2015a) which is intimately associated with ARTS and contributes to the build-up of its populations (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996; Fotso et al., Reference Fotso, Hanna, Tindo and Nagel2015b; Toko et al., Reference Toko, Neuenschwander, Yaninek, Ortega-Beltran, Fanou, Zinzou, Wydra, Hanna, Fotso, Kpindou, Neuenschwander and Tamo2019). High densities of sap-feeding insects usually show detrimental effects on crop yields (Nwanze, Reference Nwanze1982; Schulthess et al., Reference Schulthess, Baumgartner, Delucchi and Gutierrez1991). However, moderate infestation has recently been shown to enhance crop yields, with positive implications for biological control (Thancharoen et al., Reference Thancharoen, Lankaew, Moonjuntha, Wongphanuwat, Sangtongpraow and Ngoenklan2018). Studies of crop losses due to ARTS infestations have been very limited to date (Ngeve, Reference Ngeve2003); particularly needed are empirical assessments of the impact of different infestation levels on crop yield, as well as socio-economic studies of its impacts. The latter studies could be of critical importance for the ecologically based management of its populations, with implications on the livelihood of smallholder farmers (Thancharoen et al., Reference Thancharoen, Lankaew, Moonjuntha, Wongphanuwat, Sangtongpraow and Ngoenklan2018).
Considerable effort has been devoted by the International Institute of Tropical Agriculture, in collaboration with national and international partners, to the development of management options based on host plant resistance, cultural, and biological controls (Nanga, Reference Nanga2005; Ngo Kanga et al., 2012; Hanna et al., Reference Hanna, Fotso, Nanga, Tindo and Nagel2015). Unfortunately, very few natural enemies have been identified associated with the scale and these do not contribute much to its mortality. Such enemies include entomopathogenic fungi (Nanga, Reference Nanga2005) and nematodes (Ngo Kanga et al., 2012), both with very low incidence. Further, tending by A. tenella probably provides considerable protection from natural enemies (Delabie, Reference Delabie2001). Experimental reduction of ant density resulted in consequent and significant reduction of the scale infestation and a 16% yield increase in cassava (Hanna et al., Reference Hanna, Fotso, Nanga, Tindo and Nagel2015).
The vegetation type significantly affected ARTS distribution. High prevalence in the forest habitat indicates that this is the most suitable and perhaps the original habitat for the scale, as earlier suggested (Richard, Reference Richard1971). In addition, scale preference – relative incidence and density on a particular host – was shown to change from cassava to aroids depending on the forest or savannah area. Such response could indicate the existence of host biotypes or cryptic species (Xu et al., Reference Xu, Lin and Liu2010). The ability to use different host plants is often associated with the presence of specific endosymbionts (Leonardo and Muiru, Reference Leonardo and Muiru2003; Hansen and Moran, Reference Hansen and Moran2014). Ongoing analysis of the cryptic diversity and endosymbiont profile of S. vayssierei in its geographic range will help clarify this issue.
The pest was previously unknown from the savannah habitat (Lutete et al., Reference Lutete, Tata-Hangy and Kasu1997; Lema et al., Reference Lema, Tata-Hangy, Bidiaka and Ndambi2000; Tchuanyo et al., Reference Tchuanyo, Van Huis and Van Lenteren2000). Our results show that it does occur in these habitats, possibly due to range expansion during the last decade from the human-modified forests to high-altitude moist savannahs (western highlands in Cameroon). Interestingly, the pest's most frequent ant trophobiont, A. tenella, was absent from this zone back in the 1990s (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996). There was strong association in the occurrence of the scale and the ant across the fields, as earlier reported (Dejean and Matile-Ferrero, Reference Dejean and Matile-Ferrero1996; Fotso et al., Reference Fotso, Hanna, Tindo, Doumtsop and Nagel2015c), indicating a likely similar geographic distribution of these trophobionts. However, a negative association between A. tenella and other ants such as Myrmicaria opaciventris (Fotso, Reference Fotso2011) could constitute a limiting factor to their distribution.
Ecological regions in each vegetation type also constrained ARTS distribution. Thus, the humid forest with a monomodal rainfall regime and dry savannahs (Guinean and Sudano-Sahelian) seemed to limit the spread of the pest. Given that ARTS’ hostplants (e.g. cassava, yam) occur in these agroecological zones, we can hypothesize that the combination of abiotic parameters such as temperature variability, annual rainfall, and rainfall distribution over the year are the major factors controlling the distribution of ARTS. The scale occurs at low densities during the rainy season (Ambe et al., Reference Ambe, Ntonifor, Awah and Yaninek1999). Annual rainfall in Northwestern Congolian lowland forest, where the highest ARTS densities occurred, ranges from 1500 to 2000 mm. With 3000–10,000 mm annual rainfall recorded in the coastal regions, high precipitation and soil moisture could constitute limiting factors to the long-term establishment of the scale or its attendant ants. Ant attendance is apparently vital for ARTS survival (Hanna et al., Reference Hanna, Fotso, Nanga, Tindo and Nagel2015; Fotso et al., Reference Fotso, Hanna, Tindo, Doumtsop and Nagel2015c). However, ARTS' occurrence on Mount Cameroon at mid-altitude in the coastal region is a puzzling counterexample. In this case, other factors in relation to altitude are likely involved.
The surveyed area in southeastern Nigeria in the Cross-River state is a coastal area with altitudes below 200 m asl. Since low altitude and high precipitation apparently limit the scale's distribution, this is probably the reason why ARTS was not observed in this region. Yet specimens of the newly described species S. subterreus by Williams et al. (Reference Williams, Matile-Ferrero and Miller2010) were collected in that area at the vicinity (13 km) of Calabar between 1978 and 1981. S. subterreus is only the second known underground species in the family Stictococcidae, after ARTS (S. vayssierei). With poor regulatory measures in African countries, within-country as well as transboundary exchange of plant materials without control is common through trade and human migration. This contributes to rapid expansion and spread of herbivorous insects and especially pests. While additional surveys in Nigeria are needed to better investigate the distribution of both underground species of stictococcids, we can hypothesize a short-lived invasion of the Nigerian southeastern lowland back in late 1970s, with colonizing scales coming from yet-unidentified infested areas in Nigeria or Cameroon.
The continuous occurrence of the scale in the same regions from the first to the second period of observation as well as in regions of previously reported distribution indicates that its geographic range is not collapsing. It is likely that S. vayssierei is expanding its range and invading new habitats across Central Africa. Evidence for this includes the recent discovery of the pest in the savannah highlands and the apparent spread of its main trophobiont, A. tenella. Conditions favoring its spread include the mosaic of areas with high- and low-density populations, the extensive informal trade and movement of cassava and other root crops by humans, and the frequent conversion of forest to cropland. The broad ecological niche of S. vayssierei, including several host taxa, together with the recent discovery of a second subterranean Stictococcus species, hints that cryptic species diversity may be present and may further complicate the picture.
Conclusion
The ARTS S. vayssierei is known to occur in seven countries around the Congo basin. Although it mainly occurs in humid forest, it has recently been discovered in moist savannah highlands and may be expanding its range across the African cassava belt. Surveys in new areas will help clarify the geographic limits of this pest along with those of its most frequently associated ant, A. tenella. ARTS has also increased in density, with the Cameroon–Gabon border showing highest densities. Good regulatory measures within and between countries are required to control transboundary exchange of plant materials and limit the distribution of this challenging pest.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S0007485319000658.
Acknowledgements
The authors are grateful to Jean Bruno Mikissa and Rufin Réo-Ndouba who facilitated surveys in Gabon and Central African Republic, respectively. Two anonymous referees provided valuable comments on the early versions of the manuscript. The work was supported by IITA core and CGIAR Consortium RTB funds, special project funds from the International Fund for Agricultural Development (IFAD), the US Agency for International Development, and a Borlaug-LEAP fellowship #016258-58 granted to A.R.P.F. Doumtsop.