Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohamed Mouafik"'
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2283-2305 (2024)
In this study, we explored the efficacy of random forest algorithms in downscaling CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) precipitation data to predict Argane stand traits. Nonparametric regression integrated original
Externí odkaz:
https://doaj.org/article/871e3f27dc2148b3822e76f5bd6eec45
Publikováno v:
Geographies, Vol 4, Iss 3, Pp 441-461 (2024)
This comprehensive review explores the ecological significance of the Argane stands (Argania spinosa) in southwestern Morocco and the pivotal role of remote sensing technology in monitoring forest ecosystems. Argane stands, known for their resilience
Externí odkaz:
https://doaj.org/article/6c565fc904f34852aae8b0070c5236bb
Publikováno v:
Environmental Sciences Proceedings, Vol 22, Iss 1, p 52 (2022)
Forest degradation has been accentuated in recent years by climate change and drought. This study consists of producing quality plants and understanding their ecophysiological behavior in the face of water stress. The plants of two broadleaves (Querc
Externí odkaz:
https://doaj.org/article/7c08d84c32a4437b9054f854b7b37236
Autor:
Mohamed Mouafik, Abdelghani Chakhchar, Mohamed Ouajdi, Salwa El Antry, Ismail Ettaleb, Jalila Aoujdad, Ahmed El Aboudi
Publikováno v:
Environmental Sciences Proceedings, Vol 16, Iss 1, p 25 (2022)
The Argane tree (Argania spinosa (L.) Skeels) is an endemic species of Morocco, widely adapted to the arid and semi-arid climate of the southwest. The Argane may serve as an oilseed crop in desert areas threatened by drought and salinity. Its domesti
Externí odkaz:
https://doaj.org/article/819809bfef764172b6fa27df5a41f64d