In this paper, the risk zone mapping of declining lowland forests belonging to „Morović“, management unit „Varadin-Županja“ (northern Serbia) is performed using geostatistics analysis. Based on the monitoring of groundwater level, the Kriging method has been performed for the spatial distribution of groundwater level for a multiyear period (2010–2013) – reference level and characteristic levels for the wettest and the driest year during the analyzed period. Risk assessment was determined by the variance of characteristics compared to reference levels. Then, multi-criteria decision analysis methods (AHP, PROMETHEE II) were applied to define the rank of each department (smaller forest management units) located in the research area. These analyses are very important because they enable to locate of the area with a high risk of forest decline and to rank departments using criteria: deviation from water level recorded during dry periods, species demand for water, conservation status and purpose of the unit (seed stands or technical wood). The proposed methodology is usable for the determination of the primary localities for the application of management measures conducting on the level of lower planned units (departments) and thus lead to the successful planning and more efficient forest management. Obtained results at the researched area showed that a negative influence on the watering regime has groundwater level decreasing compared to the reference level because it directly affects available water for the plants. Based on multicriteria analysis methods, it was deduced that the most endangered parts are located at the edge, while this risk is much lower in the central part of the management unit. A combination of applied methods (geostatistics and multicriteria analysis) is of great importance for forestry management.
The subject of this paper is the influence of anthropogenic factors on the state of erosion in the rural part of the municipality of Vozdovac. The aim of the research is the analysis of the influence of the local population on land resources, based on the past and present state of erosion and sediment production, the usage of land resources, as well as natural and mechanical population movements. The municipality of Vozdovac is one of the 17 municipalities in Belgrade area, which covers an area of 15,000 ha. The municipal territory includes both urban and rural parts (9216 ha). When it comes to how land resources are used, it is a characteristic example of erosion processes in the mountainous Belgrade area. This paper presents an analysis of the degree of erosion threat to agricultural land in the municipality of Vozdovac, including three periods (1971; 1988; 2012), where the method used is the erosion potential method by professor Gavrilovic. However, the calculation of sediment yield was made by the method of S. Gavrilovic. The analysis of demographic factors pointed to the influence of anthropogenic factors on the state of erosion. Mathematical methods were used - geometric and exponential progression for population projections in 2020 and 2030. The results of this study showed that the intensity of erosion in that area significantly decreased and that it has a tendency of further decline.
Извод: У раду је истраживана висина и број трака лигнума по mm 2 површине код стабала таксодијума на два алувијална станишта у Србији (Велико ратно острво и Бачка Паланка). Укупно 6 стабала (по 3 на оба локалитета) је оборено, а потом су узети попречни пресеци (котурови), из којих су начињени трајни анатомски препарати. На овим препаратима су обављена сва неопходна мерења. Број трака лигнума по mm 2 површине је одређен тако што је у оквиру сваког прстена прираста одабрано по 6 видних поља одређене површине (по 3 у оквиру сваке зоне), а потом је на основу једноставне пропорције израчуната бројност трака лигнума по mm 2. Висина трака дрвета је израчуната бројањем паренхимских ћелија које их сачињавају. Истраживана својства трака лигнума мерена су у зависности од 3 елемента: камбијалне старости, висине дебла и зоне унутар прстена прираста. Што се тиче међусобног односа броја и висине трака дрвета, утврђено је да су у односу инверзије-већа бројност трака дрвета значи њихову мању висину и обратно. Циљ истраживања је да се установи како се висина и број трака лигнума по mm 2 мењају у зависности од три посматрана фактора-старости, висине дебла и зоне унутар прстена прираста.
Climate change has a direct impact on flash floods, and indirectly on the environment, society, and economy, due to the rapid development and difficulty of predicting this hydrological phenomenon. The main objective of this study is to assess the potential flash flood hazard areas in the Likodra watershed (218.62 km2), one of the most vulnerable parts to flash floods in Serbia, using the flash flood potential index (FFPI) and analytic hierarchy process (AHP) method. Recurring events from 1995 to this day and the devastating impact on settlements of the analyzed area show that this territory is extremely vulnerable. The data used include hydrological statistics (maximum daily rainfall) and spatial data on watershed geographical characteristics (slope, soils, land use, vegetation, drainage density) obtained or derived from various sources (maps, satellite images, digital databases) which were integrated into the GIS environment. The results indicate a severe flash flood hazard level, with high flash flood susceptibility classes occupying 76.20%, 87.78%, and 91.73% of the area, depending on the considered criteria and weights assigned to them.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.