The global impact of climate change, with the potential to affect agriculture through changes in temperature, rainwater distribution and amount, leads to the need to develop integrated technologies that increase rain use efficiency and support soil and environmental quality, ensuring higher agricultural outputs with lower costs. Soil modeling in interrupted furrows is a very efficient rainwater harvesting system, but has not yet been scientifically assessed for the conditions in Southern Romania as the other soil working systems have been. For this purpose, a soil modeling device consisting of a frame with triangle for coupling to the tractor, wheels for adjusting and limiting the working depth, soil loosening knives, ridge ploughs and furrow compartmenting equipment was compared with the conventional technology for sunflower culture in two localities in Southern Romania: Crânguri in Giurgiu County and Mărculeşti in Calarasi County. The device for soil modeling in interrupted furrows for weeding crops provides a viable option that has positive effects on soil properties and ensures increased crop yields compared to conventional works as well as the opportunity to increase the efficiency of water recovery in agriculture by harvesting rainwater.

Carbon dioxide is one of the greenhouse gases responsible for the effects of climate change. The soil respiration process is an important component of the carbon circuit in nature, through which carbon dioxide returns to the atmosphere. The concentration of CO2 in the atmosphere is directly influenced by any change of carbon flow produced in soil, as the latter is the largest carbon sink in terrestrial ecosystems. The objective of this paper is to present the experimental results obtained using CO2 flow determination with portable GHG analyzer with closed static chamber, and the relation and influence of the main pedoclimatic parameters, namely temperature and humidity. Future research directions will consider the development of a plan to monitor CO2 flow from the soil, for different types of land use, in different climatic conditions. During one month of data collection, has been found that soil CO2 efflux was influenced by soil moisture and soil temperature. Also, the processed data showed how soil respiration rates were dependent on soil moisture.

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One of the worldwide approaches for climate change mitigation is to act on reducing the anthropogenic contribution to the concentration of greenhouse gases (GHGs) in the atmosphere. The terrestrial and aquatic ecosystems are characterized by their natural exchange of GHGs with the atmosphere and also as a result of anthropogenic activities (management). The purpose of this work is to describe two complementary methods for measuring GHGs exchanges between atmosphere and aquatic or terrestrial lands. For this purpose, we conducted comprehensive CO2 field activities along two types of ecosystems. The goal of this study is to demonstrate the reliability of the injection kit for collecting the CO2 samples in order to later deduce EGM-5 values.

Atmospheric CO2 is rising rapidly. As forests cover some 43% of the Earth’s surface, they are considered to be the largest terrestrial carbon sink on Planet Earth. Within this study, calculations of the most abundant tree species were conducted in the study area, which is situated in the Eastern region of Romania. Thus, the forest carbon balance for the Oak (Quercus petraea) and Black Locust (Robinia pseudoacacia) species were projected for the period of 2015 - 2040. Data from management plans were used and analyzed using a forest model that is projecting forest resource development on regional up to European scale, known as The European Forest Information SCENario Model - EFISCEN. This study is aiming to point out the potential of the Oak and Black Locust forests to store carbon within the aforementioned period considering that the same management practices will be applied. The results of the simulation show that the forests accumulate CO2 over time and also their magnitude can be observed. Conclusions can be drawn from the comparative analysis of the input data and the simulation results, considering the limitation of the used data in terms of their precision.