Monitoring Effects of Drought on Nitrogen and Phosphorus in Temperate Oak Forests Using Machine Learning Techniques

Abstract

Pedunculate oak (Quercus robur. L) is a European tree species highly sensitive to drought. If declining symptoms appear they are often detectable at the crown (such as dieback) enabling monitoring using aerial images and remote sensing methods. Here, we analyzed the impact of short and long-term drought on oaks located in western Poland, between the years of 2014 and 2017. We used both leaf nitrogen (N) and leaf phosphorus (P) concentrations measured in the laboratory, aerial images collected in the range of 460-880 nm and machine learning techniques to estimate nutrient concentrations on the > 4000 oaks growing on stagnic luvisols in the study area. We determined a negative impact on N and P concentrations during both types of drought stress (-23% and -19% for N concentration in leaves; -27% and -10% for P concentration in leaves). Decreased water availability had inconsiderable impact on N:P values (3% increase of N:P ratio during short and 7% decrease of N:P ratio during long-term drought stress). We found that the long-term drought impact was spatially diverse, possibly depending on the presence of drainage ditches and competing species.

Fertilization of Maize Crops Using Active Sensor

“…ciemnej fazie fotosyntezy, chlorofile, białka otoczek i rybosomów, kwasy nukleinowe oraz RNA [4]. Właściwości absorpcji azotu oraz jego powszechna obecność w najważniejszych komponentach biomasy pozwalają na oszacowanie jego zawartości wykorzystując techniki lotnicze [5] i satelitarne. Szczególnie wartościowych danych w systemach informacji o nawożeniu dostarczają obecnie trzy urządzenia satelitarne obrazujące w zakresach widzialnym i podczerwonym.…”