Ritter Atoundem Guimapi
Forsker
Vedlegg
CV 2023Biografi
Jeg har erfaring i matematisk modellering innen plantevern. Min akademiske bakgrunn består av en doktorgrad i informatikk og økologisk modellering, en master i informatikk og en bachelor i matematikk og informatikk.
Jeg har en spesiell interesse for, og mange års erfaring i, bruk av matematisk modellering og datamaskinbasert simulering for å forstå og forutsi effekten av miljø- og klimatiske faktorer på dynamikken til agroøkologiske prosesser i forhold til plantevern.
I mitt arbeid har jeg utviklet ulike mekanistiske og empirisk-baserte modeller for å forutsi risikoen for dynamikken og spredningen av skadeinsekter over det afrikanske og asiatiske kontinentet; å optimalisere tidspunktet for feltimplementering av miljøvennlige løsninger for skadedyrbekjempelse. Mange av disse modellene er integrert i Desisjon Support System som VIPS og brukes til skadedyrovervåking og avlingsbeskyttelse.
Forfattere
Frank T. Ndjomatchoua Ritter Atoundem Guimapi Luca Rossini Byliole S. Djouda Sansao A. PedroSammendrag
Life history traits have been studied under various environmental factors, but the ability to combine them into a simple function to assess pest response to climate is still lacking complete understanding. This study proposed a risk index derived by combining development, mortality, and fertility rates from a stage-structured dynamic mathematical model. The first part presents the theoretical framework behind the risk index. The second part of the study is concerned with the application of the index in two case studies of major economic pest: the brown planthopper (Nilaparvata lugens) and the spotted wing drosophila (Drosophila suzukii), pests of rice crops and soft fruits, respectively. The mathematical calculations provided a single function composed of the main thermal biodemographic rates. This function has a threshold value that determines the possibility of population increase as a function of temperature. The tests carried out on the two pest species showed the capability of the index to describe the range of favourable conditions. With this approach, we were able to identify areas where pests are tolerant to climatic conditions and to project them on a geospatial risk map. The theoretical background developed here provided a tool for understanding the biogeography of Nilaparvata lugens and Drosophila suzukii. It is flexible enough to deal with mathematically simple (N. lugens) and complex (D. Suzukii) case studies of crop insect pests. It produces biologically sound indices that behave like thermal performance curves. These theoretical results also provide a reasonable basis for addressing the challenge of pest management in the context of seasonal weather variations and climate change. This may help to improve monitoring and design management strategies to limit the spread of pests in invaded areas, as some non-invaded areas may be suitable for the species to develop.
Forfattere
Ritter Atoundem Guimapi Berit Nordskog Anne-Grete Roer Hjelkrem Ingeborg Klingen Ghislain Tchoromi Tepa-Yotto Manuele Tamò Karl ThunesSammendrag
The fall armyworm, Spodoptera frugiperda, situation in Africa remains a priority threat despite significant efforts made since the first outbreaks in 2016 to control the pest and thereby reduce yield losses. Field surveys in Benin and Mali reported that approximately one-week post-emergence of maize plants, the presence of fall armyworm (egg/neonates) could be observed in the field. Scouting for fall armyworm eggs and neonates is, however, difficult and time consuming. In this study, we therefore hypothesized that the optimum timeframe for the fall armyworm female arriving to lay eggs in sown maize fields could be predicted. We did this by back-calculating from interval censored data of egg and neonates collected in emerging maize seedlings at young leaf developmental stage. Early time of ovipositing fall armyworm after sowing was recorded in field experiments. By using temperature-based models to predict phenological development for maize and fall armyworm, combined with analytical approaches for time-to-event data with censored status, we estimated that about 210 accumulated Degree Days (DD) is needed for early detection of neonate larvae in the field. This work is meant to provide new insights on timely pest detection and to guide for precise timing of control measures.
Forfattere
Ritter Atoundem GuimapiSammendrag
Det er ikke registrert sammendrag
Sustainable management of Fall armyworm
Sustainable management of the Fall Armyworm (FAW) in Africa coordinated by FAO. NIBIO is one of the implementing partners in Malawi.
Divisjon for bioteknologi og plantehelse
Malawi Digital Plant Health Service (MaDiPHS)
This project will establish a digital agricultural plant health service at the national level in Malawi, based on coordination of internationally developed digital systems.