Research ArticleOpen accessIn the abstractPasture Productivity Depending on the Method of Pasture use in the Steppe Zone of Northern KazakhstanBalzhan Akhylbekova, Nurlan Serekpayev, Adilbek Nogayev, Bakhytbek ZhumabekUnsystematic grazing of animals and continuous use of pastures leads to their degradation and, accordingly, to a shortage of pasture forage for the production of competitive environmentally friendly livestock products. The proportion of productive grasses in grass covers is decreasing; therefore, there is an urgent need to preserve valuable plant species in pasture grass, restore the productivity of natural vegetation … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 3 Nov 2022 · 5,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractRestoration of Biodiversity and EcosystemIgnacio Santa-Regina, M. C. Santa-ReginaSuccession is one of the most studied processes in ecology and succession theory provides strong predictability. However, few attempts have been made to influence the course of succession thereby testing the hypothesis that the passage of one stage is essential to enter a next one. At each stage of succession ecosystem processes may be affected by the diversity of species … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 10 Mar 2013 · 6,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractProduction, Yield and Derivatives of Volatile Oils from Eastern Redcedar (Juniperus Virginiana L.)Elif Semen, Salim HizirogluEastern redcedar (Juniperus virginiana L.) is one of the most widely distributed indigenous conifers in southern states including Oklahoma, Arkansas and Texas. Eastern redcedar is also an important source of the volatile oils. This specie adversely influences the environment resulting in degrading grassland, displacement of native plant population and increasing wildlife hazard. Range-grown eastern redcedar has a poor quality. However, … …American Journal of Environmental Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnergy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural NetworkAssefa M. Melesse, Rodney S. HanleyA multi-ecosystems carbon flux simulation from energy fluxes is presented. A new statistical learning technique based on Artificial Neural Network (ANN) back propagation algorithm and multi-layer perceptron architecture was used in the CO2 simulation. Four input layers (net radiation, soil heat flux, sensible and latent heat flux) were used for training (calibration) and testing (verification) of model outputs. The 15-days … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,347 accessesView PDFCite