Publications by authors named "Nicu Ciobotaru"
Evaluation of grazing impacts on land degradation processes is a difficult task due to the heterogeneity and complex interacting factors involved. In this paper, we designed a new methodology based on a predictive index of grazing susceptibility to land degradation index (GSLDI) built on artificial intelligence to assess land degradation susceptibility in areas affected by small ruminants (SRs) of sheep and goats grazing. The data for model training, validation, and testing consisted of sampling points (erosion and no-erosion) taken from aerial imagery.
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- * This paper reviews the hydromorphological assessment practices in France, Romania, and Croatia, highlighting the differences in methodologies, data used, and indicators, making comparisons challenging.
- * While France is developing new methodologies, Romania and Croatia have begun practical assessments and improvements, indicating a need for standardization across the EU to enhance river restoration efforts and achieve better ecological statuses.