Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

Abstract

During the last 30 years, the Romanian economy has faced different challenges due to structural readjustments, overcoming crisis and globalization. The share of primary and secondary sectors in the gross domestic product have strongly decreased, while the services have taken off. The main objective for this study is to observe how these economic readjustments can be assessed and measured using the Corine Land Cover datasets from 1990, 2000, 2006, 2012 and 2018 (with special observation on the range 2006 and 2018, after Romania was included in European Union). Despite some of the methodological limitations (like the minimum surface change), the Corine Land Cover turned out to be a powerful tool and it allowed us to detect an intense correlation between the socioeconomic and the structural trends in land use, in specific spatial contexts. The artificial surfaces are constantly increasing and this trend is rather visible as a distance function to the major Romanian cities. The most interesting changes occurred in the case of the agricultural polygons. The main trend emphasized by our analysis regards the redeployment of large farms in areas of agronomic and environmental territorial optimum. Such is the case for vineyards (after a decline during 2000–2006) and for annual cultures. All these changes in land-use patterns are too complex to be encompassed by a single methodology, which is why we used different tools, ranging from spatial analysis to geo-economic modeling, in order to detect how the Corine Land Cover datasets might be used for a better understanding of the Romanian economic readjustments.

Exploring Climate Change Effects on Vegetation Phenology by MOD13Q1 Data: The Piemonte Region Case Study in the Period 2001–2019

“…In particular, pastures decreased of 1521 km 2 between 2006 and 2012, correspondent to about 70% of its value. Similar results were found by Rusu et al in Romania for natural/semi natural areas related to deforestation and urbanization processes [70]. Future investigations could be relevant to discover the nature of this significant change in this particular area.…”

“…Future investigations could be relevant to discover the nature of this significant change in this particular area. Conversely, other classes remained almost unchanged along the entire period as also observed in other works [70]. As previously mentioned, forest and pasture classes were further divided into four sub-classes depending on AZs, whose dimension is reported in Table 6.…”

Multi-scale approach for different type of drought in temperate climatic conditions

“…The North-Eastern part of Romania, with altitudes ranging from 30 to 450 m, is one of the driest and poorest regions in the country. Significantly exposed to continental dry air masses, severe drought events are quite frequent in the area, which contains extensively used agricultural land (Rusu et al 2020). According to European Framework 2000/60/EC, in this area, seven groundwater bodies were identified (six at regional level and one cross-border with Republic of Moldova, in the East): upper flood plain of Prut River and its tributaries (coded ROPR01), middle flood plain of Prut River and its tributaries (ROPR02), flood plain of Bârlad River and its tributaries (ROPR03), Covurlui Plain (ROPR04), Central Moldavian Plateau (ROPR05), Tecuci Plain (ROPR06) and Moldavian Plain (ROPR07) (Fig.…”

Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa

“…There are potential problems associated with CLC data, applicable to this study, due to the misclassification and differences in the classification schemes and resolutions from one period to another [90,[92][93][94][95][96][97][98][99][100][101][156][157][158], but also due to the different resolutions (e.g., the CLC dataset has a minimum mapping unit for status layers of 25 hectares, while, minimum the mapping unit for CLC is 5 hectares). Nevertheless, CLC data have proved their usefulness in analyzing urban sprawl [159] and other LCLU changes in Europe [160,161] and even outside the European Union [162], and even in fostering local development [163]. Obviously, the existence of a GIS-ready data set is important in the research economy and could reduce other sources of errors, but does not make the case studies of Vietnam or Algeria less valuable, since they rely on satellite imagery.…”