Spatio-Temporal Interactions Between Maize Lepidopteran Stemborer Communities and Possible Implications From the Recent Invasion of Spodoptera frugiperda (Lepidoptera: Noctuidae) in Sub-Saharan Africa

2019 ◽  
Vol 48 (3) ◽  
pp. 573-582 ◽  
Author(s):  
Eric Siaw Ntiri ◽  
Paul-Andre Calatayud ◽  
Johnnie Van den Berg ◽  
Bruno Pierre Le Ru
Keyword(s):  
Spodoptera Frugiperda ◽  
Sub Saharan Africa ◽  
Spatio Temporal ◽  
Sub Saharan ◽  
Temporal Interactions ◽  
Lepidoptera Noctuidae

scholarly journals Experiences and Perspectives on Spodoptera frugiperda (Lepidoptera: Noctuidae) Management in Sub-Saharan Africa

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Elizabeth Njuguna ◽  
Phophi Nethononda ◽  
Karim Maredia ◽  
Ruth Mbabazi ◽  
Paul Kachapulula ◽  
...  
Keyword(s):  
Spodoptera Frugiperda ◽  
New Technologies ◽  
Integrated Management ◽  
Fall Armyworm ◽  
Lessons Learned ◽  
Sub Saharan Africa ◽  
Invasive Pest ◽  
Published Evidence ◽  
Sub Saharan ◽  
Lepidoptera Noctuidae

Abstract It has been over five years since the first report of an outbreak of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) in Africa. The highly invasive pest, native to the Americas, has since spread across the African continent attacking many crops and causing significant yield loss to Africa’s staple crop, maize. From the onset of the outbreak, there have been massive and varied responses from farmers, governments and nongovernmental organizations. This mini-review provides various perspectives on S. frugiperda control in sub-Saharan Africa, building on previously published evidence, and experiences of the authors. It also highlights new technologies and lessons learned so far from the S. frugiperda outbreaks in sub-Saharan Africa, based on which suggestions on possible integrated management approaches are proffered.

scholarly journals Transcriptional differences between the two host strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

2018 ◽  
Author(s):  
Marion Orsucci ◽  
Yves Moné ◽  
Philippe Audiot ◽  
Sylvie Gimenez ◽  
Sandra Nhim ◽  
...  
Keyword(s):  
Spodoptera Frugiperda ◽  
Natural Populations ◽  
Fall Armyworm ◽  
Distinct Species ◽  
Sub Saharan Africa ◽  
Diet Preference ◽  
Rice Strain ◽  
Sub Saharan ◽  
The Impact ◽  
Lepidoptera Noctuidae

AbstractSpodoptera frugiperda, the fall armyworm (FAW), is an important agricultural pest in the Americas and an emerging pest in sub-Saharan Africa, India, East-Asia and Australia, causing damage to major crops such as corn, sorghum and soybean. While FAW larvae are considered polyphagous, differences in diet preference have been described between two genetic variants: the corn strain (sf-C) and the rice strain (sf-R). These two strains are sometimes considered as distinct species, raising the hypothesis that ost plant specialization might have driven their divergence. To test this hypothesis, we irst performed controlled reciprocal transplant (RT) experiments to address the impact of plant diet on several traits linked to the fitness of the sf-C and sf-R strains. The phenotypical data suggest that sf-C is specialized to corn. We then used RNA-Se to identify constitutive transcriptional differences between strains, regardless of diet, in laboratory as well as in natural populations. We found that variations in mitochon rial transcription levels are among the most substantial and consistent differences between the two strains. Since mitochondrial genotypes also vary between the strains, we believe the mitochondria may have a significant role in driving strain divergence.

A multi-state spatio-temporal Markov model for categorized incidence of meningitis in sub-Saharan Africa

2012 ◽  
Vol 141 (8) ◽  
pp. 1764-1771 ◽  
Author(s):  
L. AGIER ◽  
M. STANTON ◽  
G. SOGA ◽  
P. J. DIGGLE
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Public Health Problem ◽  
Incidence Rates ◽  
Sub Saharan Africa ◽  
Major Public Health Problem ◽  
Temporal Dependence ◽  
Spatio Temporal ◽  
Sub Saharan ◽  
Annual Scale

SUMMARYMeningococcal meningitis is a major public health problem in the African Belt. Despite the obvious seasonality of epidemics, the factors driving them are still poorly understood. Here, we provide a first attempt to predict epidemics at the spatio-temporal scale required for in-year response, using a purely empirical approach. District-level weekly incidence rates for Niger (1986–2007) were discretized into latent, alert and epidemic states according to pre-specified epidemiological thresholds. We modelled the probabilities of transition between states, accounting for seasonality and spatio-temporal dependence. One-week-ahead predictions for entering the epidemic state were generated with specificity and negative predictive value >99%, sensitivity and positive predictive value >72%. On the annual scale, we predict the first entry of a district into the epidemic state with sensitivity 65·0%, positive predictive value 49·0%, and an average time gained of 4·6 weeks. These results could inform decisions on preparatory actions.

Subnational violent conflict forecasts for sub-Saharan Africa, 2015–65, using climate-sensitive models

2017 ◽  
Vol 54 (2) ◽  
pp. 175-192 ◽  
Author(s):  
Frank DW Witmer ◽  
Andrew M Linke ◽  
John O’Loughlin ◽  
Andrew Gettelman ◽  
Arlene Laing
Keyword(s):  
Climate Change ◽  
Violent Conflict ◽  
Sub Saharan Africa ◽  
Population Projections ◽  
High Fertility ◽  
Climate Change Scenarios ◽  
Political Rights ◽  
Monthly Data ◽  
Spatio Temporal ◽  
Sub Saharan

How will local violent conflict patterns in sub-Saharan Africa evolve until the middle of the 21st century? Africa is recognized as a particularly vulnerable continent to environmental and climate change since a large portion of its population is poor and reliant on rain-fed agriculture. We use a climate-sensitive approach to model sub-Saharan African violence in the past (geolocated to the nearest settlements) and then forecast future violence using sociopolitical factors such as population size and political rights (governance), coupled with temperature anomalies. Our baseline model is calibrated using 1° gridded monthly data from 1980 to 2012 at a finer spatio-temporal resolution than existing conflict forecasts. We present multiple forecasts of violence under alternative climate change scenarios (optimistic and current global trajectories), of political rights scenarios (improvement and decline), and population projections (low and high fertility). We evaluate alternate shared socio-economic pathways (SSPs) by plotting violence forecasts over time and by detailed mapping of recent and future levels of violence by decade. The forecasts indicate that a growing population and rising temperatures will lead to higher levels of violence in sub-Saharan Africa if political rights do not improve. If political rights continue to improve at the same rate as observed over the last three decades, there is reason for optimism that overall levels of violence will hold steady or even decline in Africa, in spite of projected population increases and rising temperatures.

scholarly journals Managing a Transboundary Pest: The Fall Armyworm on Maize in Africa

2021 ◽  
Author(s):  
Michael Hilary Otim ◽  
Komi Kouma Mokpokpo Fiaboe ◽  
Juliet Akello ◽  
Barnabas Mudde ◽  
Allan Tekkara Obonyom ◽  
...  
Keyword(s):  
Host Range ◽  
Sustainable Management ◽  
Fall Armyworm ◽  
Reproductive Rate ◽  
Sub Saharan Africa ◽  
Migration Ability ◽  
Rapid Spread ◽  
Sub Saharan ◽  
Lepidoptera Noctuidae ◽  
High Migration

The fall armyworm (Spodoptera frugiperda J.E Smith) (Lepidoptera: Noctuidae) invaded Africa in 2016, and has since spread to all countries in sub-Saharan Africa, causing devastating effects on mainly maize and sorghum. The rapid spread of this pest is aided by its high reproductive rate, high migration ability, wide host range and adaptability to different environments, among others. Since its introduction, many governments purchased and distributed pesticides for emergency control, with minimal regard to their efficacy. In this chapter, we review efforts towards managing this pest, highlight key challenges, and provide our thoughts on considerations for sustainable management of the pest.

A spatio-temporal analysis of peri-urbanisation in sub-Saharan Africa: a case study from Lobatse, Botswana

2014 ◽  
Vol 33 (2) ◽  
pp. 174-201 ◽  
Author(s):  
Abiodun Ayooluwa Areola ◽  
Thando D. Gwebu ◽  
Reuben J. Sebego
Keyword(s):  
Temporal Analysis ◽  
Sub Saharan Africa ◽  
Spatio Temporal ◽  
Sub Saharan

Phylogeography and population genetics of the maize stalk borer Busseola fusca (Lepidoptera, Noctuidae) in sub-Saharan Africa

2006 ◽  
Vol 15 (2) ◽  
pp. 407-420 ◽  
Author(s):  
M. SEZONLIN ◽  
S. DUPAS ◽  
B. LE RÜ ◽  
P. LE GALL ◽  
P. MOYAL ◽  
...  
Keyword(s):  
Population Genetics ◽  
Busseola Fusca ◽  
Sub Saharan Africa ◽  
Stalk Borer ◽  
Sub Saharan ◽  
Lepidoptera Noctuidae

scholarly journals Effects of distance from semi-natural habitat on fall armyworm (Spodoptera frugiperda, J. E. Smith) and its potential natural enemies in Ghana

2021 ◽  
pp. 1-11
Author(s):  
Matthew W. Jordon ◽  
Talya D. Hackett ◽  
Fred Aboagye-Antwi ◽  
Vincent Y. Eziah ◽  
Owen T. Lewis
Keyword(s):  
Natural Enemies ◽  
Spodoptera Frugiperda ◽  
Natural Habitat ◽  
Fall Armyworm ◽  
Agricultural Landscapes ◽  
Sub Saharan Africa ◽  
Leaf Damage ◽  
Crop Damage ◽  
Biological Pest Control ◽  
Sub Saharan

Abstract Insect crop pests are a major threat to food security in sub-Saharan Africa. Configuration of semi-natural habitat within agricultural landscapes has the potential to enhance biological pest control, helping to maintain yields whilst minimising the negative effects of pesticide use. Fall armyworm (Spodoptera frugiperda, J. E. Smith) is an increasingly important pest of maize in sub-Saharan Africa, with reports of yield loss between 12 and 45%. We investigated the patterns of fall armyworm leaf damage in maize crops in Ghana, and used pitfall traps and dummy caterpillars to assess the spatial distribution of potential fall armyworm predators. Crop damage from fall armyworm at our study sites increased significantly with distance from the field edge, by up to 4% per m. We found evidence that Araneae activity, richness and diversity correspondingly decreased with distance from semi-natural habitat, although Hymenoptera richness and diversity increased. Our preliminary findings suggest that modifying field configuration to increase the proximity of maize to semi-natural habitat may reduce fall armyworm damage and increase natural enemy activity within crops. Further research is required to determine the level of fall armyworm suppression achievable through natural enemies, and how effectively this could safeguard yields.

scholarly journals Characterization of Spatio-Temporal Trends and Periodicity of Precipitation over Malawi during 1979–2015

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 891
Author(s):  
Edwin Tadeyo ◽  
Dan Chen ◽  
Brian Ayugi ◽  
Chunzhen Yao
Keyword(s):  
Spatial Distribution ◽  
Function Analysis ◽  
Temporal Trends ◽  
Sub Saharan Africa ◽  
Spatial And Temporal Variability ◽  
Wet Season ◽  
Climate Change And Variability ◽  
Spatio Temporal ◽  
Sub Saharan ◽  
Annual Scale

Precipitation remains the key climatic parameter in sub-Saharan Africa, as it drives the economy through rain-fed agricultural production. Malawi is one of the countries most susceptible to the impacts of climate change and variability. This paper presents the characteristics of spatio-temporal trends and periodicity of precipitation in Malawi in the period from 1979 to 2015. The analysis was based on recent rain ground gauge data. In total, 31 out of 36 rainfall stations, which include some key stations from the southeast of Malawi, were selected for the study after robust homogeneity tests were applied to the datasets. Spatial distribution of annual mean precipitation showed that high amounts of rainfall are located in areas along the lake and the southeast part of Malawi. The spatial distribution of the wet season (November to April) precipitation from EOF (Empirical Orthogonal Function) analysis revealed ten wet years (1985, 1986, 1989, 1996, 1997, 1999, 2001, 2006, 2007, and 2015) and ten dry years (1981, 1983, 1987, 1990, 1992, 1994, 1995, 2005, 2011, and 2014). In general, the temporal trends analyses of seasonal (wet season) and annual precipitations both displayed slight decreasing slopes during the 37 years. The trend of precipitation per decade displayed an increase in precipitation during 1980s and 1990s, followed by a decrease in the 21st century. Furthermore, the analysis of the spatial and temporal variability and trends of rainfall showed that northern and central Malawi displayed a clearer variability than southern Malawi. Although the trends of most of the stations are not significant at 95% confidence level, the decreasing rates of rainfall in the last decade and the decreasing trends on wet season and annual scale detected by Mann–Kendall tests require closer monitoring of rainfall changes in the near future. The stations which exhibited significant trends (Naminjiwa and Dedza stations) also call for closer monitoring, since the area relies heavily on rain-fed agriculture for economic sustenance.

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