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001-es BibID:	BIBFORM105340
035-os BibID:	(cikkazonosító)116053 (Scopus)85134681811 (Wos)000847217000013
Első szerző:	Charzynski, Przemyslaw
Cím:	A global perspective on soil science education at third educational level; knowledge, practice, skills and challenges / Przemysław Charzynski, Magdalena Urbanska, Gian Franco Capra, Antonio Ganga, Peter Holmes, Melanie Szulczewski, Undrakh-Od Baatar, Ali Boularbah, Betim Bresilla, Horea Cacovean, Ashim Datta, Helen Gadsby, Kamel Gargouri, Eyob Gebrehiwot Gebregeorgis, Luise Giani, Samantha Grover, Mukhiddin Juliev, Raimonds Kasparinskis, Masayuki Kawahigashi, Liv Anna Kellermann, Kye-Hoon John Kim, Lenka Krotka, Imants Kukul, Ilia Kunchulia, Younes Laaouidi, Pierre Leglize, Dieudonne Mouketou-Tarazewicz, Frank Mugagga, Tibor Jozsef Novak , Juan Ortiz, Veronica Osuna-Vallejo, Vít Penízek, Plamen Tomov, Tatiana Prokofeva, Manuel Pulido, Charles W. Recha, Endla Reintam, Blaz Repe, Salih Sahin, Mohammad Hassan Salehi, Abdourahamane Tankari Dan Badjo, Karoly Teperics, Tiina Tormanen, Viktar Tsyrybka, Rimantas Vaisvalavicius, Fabiane Vezzani
Dátum:	2022
ISSN:	0016-7061
Megjegyzések:	The pivotal role of soil as a resource is not fully appreciated by the general public. Improving education in soil science represents a challenge in a world where soil resources are under serious threat. Today's high school students, the world's future landowners, agriculturalists, and decision makers, have the potential to change society's apathy towards soils issues. This research aimed to compare the level of soil education in high and/or secondary schools in forty-three countries worldwide, together comprising 62% of the world's population. Comparisons were made between soil science content discussed in educationally appropriate textbooks via a newly proposed soil information coefficient (SIC). Interviews with teachers were undertaken to better understand how soil science education is implemented in the classroom. Statistical analyses were investigated using clustering. Results showed that gaps in soil science education were most commonly observed in countries where soil science is a non-compulsory or optional subject. Soil science concepts are predominantly a part of geography or environmental science curricula. Consequently, considerable variability in soil science education systems among investigated countries exists. Soil information coefficient♭s outcomes demonstrated that a methodological approach combining textbooks and the use of modern digitally based strategies in the educational process significantly improved soil education performances. Overall, soil science education is under-represented in schools worldwide. Dynamic new approaches are needed to improve pivotal issues such as: i) promoting collaborations and agreements between high school and universities; ii) encouraging workshops and practical exercises such as field activities; and, iii) implementing technology tools. This, in turn, will prepare the next generation to contribute meaningfully towards solving present and future soil problems.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Soil information coefficient Upper secondary school Geography textbooks Worldwide comparison Soil education High school
Megjelenés:	Geoderma. - 425 (2022), p. 1-16. -
További szerzők:	Urbanska, Magdalena Capra, Gian Franco Ganga, Antonio Holmes, Peter Szulczewski, Melanie Baatar, Undrakh-Od Boularbah, Ali Bresilla, Betim Cacovean, Horea Datta, Ashim Gadsby, Helen Gargouri, Kamel Gebregeorgis, Eyob Gebrehiwot Giani, Luise Grover, Samantha Juliev, Mukhiddin Kasparinskis, Raimonds Kawahigashi, Masayuki Kellermann, Liv Anna Kim, Kye-Hoon John Krótka, Lenka Kukuls, Imants Kunchulia, Ilia Laaouidi, Younes Leglize, Pierre Mouketou-Tarazewicz, Dieudonne Mugagga, Frank Novák Tibor (1973-) (geográfus) Ortiz, Juan Osuna-Vallejo, Veronica Penízek, Vit Tomov, Plamen Prokofeva, Tatiana Pulido, Manuel Recha, Charles W. Reintam, Endla Repe, Blaz Şahin, Salih Salehi,Mohammad Hassan Badjo, Abdourahamane Tankari Dan Teperics Károly (1963-) (geográfus) Tormanen, Tiina Tsyrybka, Viktar Vaisvalavicius, Rimantas Vezzani, Fabiane Zhang, Shugang
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001-es BibID:	BIBFORM119220
035-os BibID:	(Scopus)85180982502 (WoS)001145150700001 (cikkazonosító)116740
Első szerző:	Hateffard, Fatemeh (digital soil mapping)
Cím:	Evaluating the extrapolation potential of random forest digital soil mapping / Fatemeh Hateffard, Luc Steinbuch, Gerard B.M. Heuvelink
Dátum:	2024
ISSN:	0016-7061
Megjegyzések:	Spatial soil information is essential for informed decision-making in a wide range of fields. Digital soil mapping (DSM) using machine learning algorithms has become a popular approach for generating soil maps. DSM capitalises on the relation between environmental variables (i.e., features) and a soil property of interest. It typically needs a training dataset that covers the feature space well. Mapping in areas where there are no training data is challenging, because extrapolation in geographic space often induces extrapolation in feature space and can seriously deteriorate prediction accuracy. The objective of this study was to analyse the extrapolation effects of random forest DSM models by predicting topsoil properties (OC, clay, and pH) in four African countries using soil data from the ISRIC Africa Soil Profiles database. The study was conducted in eight experiments whereby soil data from one or three countries were used to predict in the other countries. We calculated similarities between donor and recipient areas using four measures, including soil type similarity, homosoil, dissimilarity index by area of applicability (AOA), and quantile regression forest (QRF) prediction interval width. The aim was to determine the level of agreement between these four measures and identify the method that had the strongest agreement with common validation metrics. The results indicated a positive correlation between soil type similarity, homosoil and dissimilarity index by AOA. Surprisingly, we observed a negative correlation between dissimilarity index by AOA and QRF prediction interval width. Although the cross-validation results for the trained models were acceptable, the extrapolation results were unsatisfactory, highlighting the risk of extrapolation. Using soil data from three countries instead of one increased the similarities for all measures, but it had a limited effect on improving extrapolation. Also, none of the measures had a strong correlation with the validation metrics. This was particularly disappointing for AOA and QRF, which we had expected to be strong indicators of extrapolation prediction performance. Results showed that homosoil and soil type methods had the strongest correlation with validation metrics. The results for this case study revealed limitations of using AOA and QRF as measures of extrapolation effects, highlighting the importance of not relying on these methods blindly. Further research and more case studies are needed to address the effects of extrapolation of DSM models.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Extrapolation effects Prediction accuracy Similarities Spatial soil information
Megjelenés:	Geoderma. - 441 (2024), p. 1-8. -
További szerzők:	Steinbuch, Luc Heuvelink, Gerard B.M.
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001-es BibID:	BIBFORM099671
035-os BibID:	(cikkazonosító)115666 (WoS)000788786000002 (Scopus)85121733665
Első szerző:	Tóth Tibor
Cím:	Practical evaluation of four classification levels of Soil Taxonomy, Hungarian classification and WRB in terms of biomass production in a salt-affected alluvial plot / Tóth Tibor, Gallai Bence, Novák Tibor, Czigány Szabolcs, Makó András, Kocsis Mihály, Árvai Mátyás, Mészáros János, László Péter, Koós Sándor, Balog Kitti
Dátum:	2022
ISSN:	0016-7061
Megjegyzések:	In a salt-affected alluvial plot, increased biomass is associated with increasing elevation and decreasing salt concentration. All four levels of three classification systems, the Soil Taxonomy (ST), the Hungarian classification (HU) and the WRB were evaluated in a 100 m regular grid of 85 profiles for their applicability for biomass estimation (using 10-year average NDVI as proxy) and their correlation with ground elevation. NDVI values reflecting soil formation chronology (from the least to the most developed soils) were found on the first (least detailed) level of the classification systems. By analyzing the aspects of practical applicability, mainly at the detailed levels 3 and 4, HU performed the best in terms of class separability, WRB showed the most homo-geneous classes, HU provided the closest correlation with elevation; while ST operated with the lowest number of classes, and, consequently, had a lower level of homogeneity and weaker correlation with elevation. Both HU and WRB performed well in most aspects, but the latter showed greater homogeneity. WRB had twice as many classes as HU and four times as many compared to ST; thus, their homogeneity increased accordingly. The implementation of a soil classification without profound tests might result in counterproductive classes in terms of class separability, homogeneity of classes, correlation with environmental parameters, and parsimony of classes.
Tárgyszavak:	Természettudományok Környezettudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Goodness-of-classification criterion Electrical conductivity correlation with environmental parameters soil classification WRB soil classification hierarchy salt affected soils
Megjelenés:	Geoderma. - 410 (2022), p. 1-11. -
További szerzők:	Gallai Bence Novák Tibor (1973-) (geográfus) Czigány Szabolcs Makó András Kocsis Mihály Árvai Mátyás Mészáros János László Péter Koós Sándor (agrár) Balog Kitti
Pályázati támogatás:	K 124290 Egyéb
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