Expanding agroforestry can increase nitrate retention and mitigate the global impact of a leaky nitrogen cycle in croplands.

The internal soil nitrogen (N) cycle supplies N to plants and microorganisms but may induce N pollution in the environment. Understanding the variability of gross N cycling rates resulting from the global spatial heterogeneity of climatic and edaphic variables is essential for estimating the potential risk of N loss. Here we compiled 4,032 observations from 398 published N pool dilution and tracing studies to analyse the interactions between soil internal potential N cycling and environmental effects.

Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt.

Limited water resources are one of the major challenges facing Egypt during the current stage. The agricultural drainage water is an important water resource which can be reused for agriculture. Thus, the current study aims to assess the quality of drainage water for irrigation purpose through monitoring and predicting its suitability for irrigation.