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 Thomas Ndjomatchoua Richard Olaf James Hamilton Stutt Ritter Atoundem Guimapi Luca Rossini Christopher A GilliganSammendrag
Det er ikke registrert sammendrag
Forfattere
Komi Mensah Agboka Elfatih M. Abdel-Rahman Daisy Salifu Brian Kanji Frank T. Ndjomatchoua Ritter Atoundem Guimapi Sunday Ekesi Landmann TobiasSammendrag
Det er ikke registrert sammendrag
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.
