Találati lista | Tudóstér

001-es BibID:	BIBFORM075898
035-os BibID:	(cikkazonosító)1613 (Wos)000451736300120 (Scopus)85056238502
Első szerző:	Bertalan László (geográfus)
Cím:	Issues of Meander Development: Land Degradation or Ecological Value? The Example of the Sajó River, Hungary / Bertalan László, Novák Tibor József, Németh Zoltán, Rodrigo-Comino Jesús, Kertész Ádám, Szabó Szilárd
Dátum:	2018
ISSN:	2073-4441
Megjegyzések:	The extensive destruction of arable lands by the process of lateral bank erosion is a major issue for the alluvial meandering type of rivers all around the world. Nowadays, land managers, stakeholders, and scientists are discussing how this process affects the surrounding landscapes. Usually, due to a land mismanagement of agroforestry activities or urbanization plans, river regulations are designed to reduce anthropogenic impacts such as bank erosion, but many of these regulations resulted in a degradation of habitat diversity. Regardless, there is a lack of information about the possible positive effects of meandering from the ecological point of view. Therefore, the main aim of this study was to investigate a 2.12 km long meandering sub-reach of Sajó River, Hungary, in order to evaluate whether the process of meander development can be evaluated as a land degradation processes or whether it can enhance ecological conservation and sustainability. To achieve this goal, an archive of aerial imagery and UAV (Unmanned Aerial Vehicle)-surveys was used to provide a consistent database for a landscape metrics-based analysis to reveal changes in landscape ecological dynamics. Moreover, an ornithological survey was also carried out to assess the composition and diversity of the avifauna. The forest cover was developed in a remarkable pattern, finding a linear relationship between its rate and channel sinuosity. An increase in forest areas did not enhance the rate of landscape diversity since only its distribution became more compact. Eroding riverbanks provided important nesting sites for colonies of protected and regionally declining migratory bird species such as the sand martin. We revealed that almost 70 years were enough to gain a new habitat system along the river as the linear channel formed to a meandering and more natural state.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk bank erosion landscape metrics diversity uav Sajó
Megjelenés:	Water. - 10 : 11 (2018), p. 1-21. -
További szerzők:	Novák Tibor (1973-) (geográfus) Németh Zoltán (1976-) (biológus) Rodrigo-Comino, Jesús Kertész Ádám (1948-) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	EFOP-3.6.1-16-2016-00022 EFOP NKFIH 108755 Egyéb ÚNKP-17-3 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM018826
Első szerző:	Kertész Ádám
Cím:	Biological geotextiles as a tool for soil moisture conservation / Kertész Ádám, Szalai Zoltán, Jakab Gergely, Tóth Adrienn, Szabó Szilárd, Madarász Balázs, Jankauskas Benediktas, Guerra Antonio, Bezerra Fernando, Panomtaranichagul Mattiga, Chau, Dao, Yi Zheng
Dátum:	2011
Megjegyzések:	Geotextiles have an important influence on soil moisture conditions. It is well known that the application of geotextiles increases soil moisture content of the soil, but there is a lack of information on how the different mats keep the soil moisture. The objective of this paper is to present the effect of biological geotextiles on soil moisture dynamics of the topsoil and to compare the effectiveness of various geotextiles in conserving soil moisture as well as comparing their role in soil moisture dynamics in the different climatic zones. Soil moisture measurements were carried out in the framework of the BORASSUS project at six study sites in Brazil, China, Hungary, Lithuania, Thailand, Vietnam. Soil moisture was measured by gravimetric method. All together six different kinds of biological geotextiles (Borassus, Buriti, Bamboo, Jute, Maize and Rice) and one synthetic geotextile were used. To study soil moisture dynamics of the geotextiles applied in Hungary 1000 cm3 soil monoliths were covered by Jute, Buriti and Borassus mats. The effects of natural rainfall events on soils and geotextiles were examined in detail. According to the results of this paper there is not much difference concerning the effect of biological geotextiles made from various materials on soil moisture conservation. There are, however, remarkable differences in conserving soil moisture according to the geographical location of the study sites. The favorable effect of geotextiles on soil moisture conservation could be statistically justified if annual precipitation amount is over 700 mm and the annual temperature range is below 28 °C.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban Biological geotextile Soil moisture BORASSUS Project Soil hydrology
Megjelenés:	Land Degradation & Development. - 22 : 5 (2011), p. 472-479. -
További szerzők:	Szalai Zoltán Jakab Gergely Tóth Adrienn Szabó Szilárd (1974-) (geográfus) Madarász Balázs Jankauskas, Benediktas Guerra, Antonio Bezerra, Fernando Panomtaranichagul, Mattiga Chau, Dao Yi, Zheng
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI Szerző által megadott URL
Borító:
Saját polcon:

001-es BibID:	BIBFORM079559
035-os BibID:	(cikkazonosító)104187
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Dataset for landscape pattern analysis from a climatic perspective / Szilárd Szabó, Balázs Deák, Zoltán Kovács, Ádám Kertész, Boglárka Bertalan-Balázs
Dátum:	2019
ISSN:	2352-3409
Megjegyzések:	Revealing the driving forces of changes in landscape pattern is a key question of landscape ecology and landscape analysis. Temperature and precipitation as climatic variables have a dominant role in triggering vegetation changes; thus, a database, which contain their interaction, can support the understanding of spatio-temporal changes in vegetation patterns even on a large scale. The dataset provided in this article contain the R-squared values of bivariate linear regression analysis between the Normalized Difference Vegetation Index (target variable; as a general quantitative descriptor of surface greenness) of the TERRA satellite's MODIS sensor and the climatic variables of the CarpatClim database (predictor variables; maximum monthly temperature, aridification index, evapotranspiration and precipitation). Environmental variables are also included to support further analysis: terrain height, macro regions, land cover classes. The dataset has a spatial projection (i.e. maps) and covers the area of Hungary. Tabular version provides the possibility of traditional statistical analysis, while maps allow the investigation to involve the spatial characteristics of absolute and relative position of the data points. This data article is related to the paper "NDVI dynamics as reflected in climatic variables: spatial and temporal trends - a case study of Hungary" (Szabo et al., 2019).
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban NDVI Trend Climatic factors R-squared Pattern
Megjelenés:	Data in Brief. - 25 (2019), p. 1-5. -
További szerzők:	Deák Balázs (1978-) (biológus) Kovács Zoltán (1988-) (geográfus) Kertész Ádám (1948-) Balázs Boglárka (1985-) (geográfus)
Pályázati támogatás:	TÁMOP 4.2.4. A/2-11-1-2012-0001 TÁMOP NKFIH 108755 Egyéb TUDFO/51757/2019-IT Thematic Excellence Project of the University of Debrecen Egyéb NKFI KH 130338 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM076537
035-os BibID:	(WoS)000458299900007 (Scopus)85059086542
Első szerző:	Szabó Szilárd (geográfus)
Cím:	NDVI dynamics as reflected in climatic variables: spatial and temporal trends : a case study of Hungary / Szilárd Szabó, László Elemér, Zoltán Kovács, Zoltán Püspöki, Ádám Kertész, Sudhir Kumar Singh, Boglárka Balázs
Dátum:	2019
ISSN:	1548-1603 1943-7226
Megjegyzések:	Understanding climate change and revealing its future paths on a local level is a great challenge for the future. Beside the expanding sets of available climatic data, satellite images provide a valuable source of information. In our study we aimed to reveal whether satellite data are an appropriate way to identify global trends, given their shorter available time range. We used the CARPATCLIM (CC) database (1961-2010) and the MODIS NDVI images (2000-2016) and evaluated the time period covered by both (2000-2010). We performed a regression analysis between the NDVI and CC variables, and a time series analysis for the 1961-2008 and 2000-2008 periods at all data points. The results justified the belief that maximum temperature (TMAX), potential evapotranspiration and aridity all have a strong correlation with the NDVI; furthermore, the short period trend of TMAX can be described with a functional connection with its long period trend. Consequently, TMAX is an appropriate tool as an explanatory variable for NDVI spatial and temporal variance. Spatial pattern analysis revealed that with regression coefficients, macro-regions reflected topography (plains, hills and mountains), while in the case of time series regression slopes, it justified a decreasing trend from western areas (Transdanubia) to eastern ones (The Great Hungarian Plain). This is an important consideration for future agricultural and land use planning; i.e. that western areas have to allow for greater effects of climate change.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk climate change trend CARPATCLIM principal component analysis topographic variables MODIS
Megjelenés:	GIScience & Remote Sensing. - 56 : 4 (2019), p. 624-644. -
További szerzők:	László Elemér (1987-) (meteorológus előrejelző szakiránnyal) Kovács Zoltán (1988-) (geográfus) Püspöki Zoltán (1972-) (geológus) Kertész Ádám (1948-) Singh, Sudhir Kumar (1970-) (geográfus) Balázs Boglárka (1985-) (geográfus)
Pályázati támogatás:	TÁMOP-4.2.4.A/2-11-1-2012-0001 TÁMOP NKFIH 108755 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: