Based on digital data on relief, rock, and vegetation, the most significant elements of the internal structure of Slovenian landscapes and at the same time of their external appearance, a geographic information system and verification in the field were used to create several natural landscape typologies of Slovenia with a varying number of types. The most generalized typology is based on the spatial overlap of four relief, seven lithological, and seven vegetation units. It has twenty-four landscape types: four flat, eleven low hilly, six hilly, and three mountainous types.
Abstract. Present is the role of formal education on natural disasters in Europe. To ensure a uniform overview, the study used secondary-school geography textbooks from the collection of textbooks at the Georg Eckert Institute for International Textbook Research in Braunschweig, Germany. Altogether, more than 160 textbooks from 36 European countries were examined in order to investigate how much their content (pages, text, figures) is related to natural-disasters topics, and to find out which types of hazards are presented more often. In the research it was also analyzed which disaster events are frequently used as an example.
The main purpose of this analysis is to identify places in Europe that can be described as very diverse according to various natural landscape types or landscape regions. In order to obtain these »hotspots,« several geographical divisions of Europe were examined. The analysis was performed for most of Europe at 5 km resolution. First, maps of landscape variety were produced based on each division of Europe taken into account. This step was carried out for each cell by counting the number of different unique natural landscape types or regions that are present in a radius of 50 km around the cell. Several maps of landscape diversity were produced using this method. Each of them was then weighted; the cell values were divided by the number of all unique types or regions in a division. In the final stage, all of the maps were synthesized (averaged) into one map showing landscape diversity for Europe. With this data it was possible to determine Europe's landscape hotspots and to define the most naturally heterogeneous countries. Among all of the European countries, Slovenia has the highest average landscape diversity; the highest absolute landscape diversity is located in the Norwegian part of southern Scandinavia.
IZVLE¿EK: Predlagani kazalniki Evropske unije za dolocanje manj primernih obmocij za kmetijstvo v Sloveniji niso povsem primerni, saj bi z njihovim upostevanjem izpadla nekatera izrazito in nedvoumno neugodna obmocja, na primer Suha krajina in Bela krajina, kmetje pa bi bili neupraviceno financno oskodovani. V takem primeru ima vsaka drzava ciánica Evropske unije pravico predlagati dodaten kazalnik, s katerim zmanjsa tovrstna neskladja. Glede na dejanske naravne razmere bi v Sloveniji neupraviceno izpadle predvsem nekatere kraske pokrajine, zato smo kot dodatni kriterij predlagali kazalnik kras, ki sloni na razporeditvi kraskih, to je karbonatnih kamnin. S prostorskim prekrivanjem kraskih kamnin in prsti smo ugotavljali, ali bi ze bolj smiselna in manj toga uporaba evropskih kriterijev iz sklopa prsti lahko zadostovala za boljáe rezultate pri dolocanju manj primernih obmocij za kmetijstvo v Sloveniji. KLJUÓNE BESEDE: Slovenija, Evropska unija, pokrajina, kras, kmetijstvo, kriteriji, manj primerna obmocja, obmocja z omejitvenimi dejavniki Urednistvo je prejelo prispevek 18. maja 2012. NASLOVI: Rok CigUc Geografski institut Antona Melika Znanstvenoraziskovalni center Slovenske akademije znanosti in umetnosti Gosposka ulica 13
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.