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11 results on '"Fassouli, V."'

1. Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach

Author

Salvati, L., Kosmas, C., Kairis, O., Karavitis, C., Acikalin, S., Belgacem, A., Solé-Benet, A., Chaker, M., Fassouli, V., Gokceoglu, C., Gungor, H., Hessel, R., Khatteli, H., Kounalaki, A., Laouina, A., Ocakoglu, F., Ouessar, M., Ritsema, C., Sghaier, M., Sonmez, H., Taamallah, H., Tezcan, L., de Vente, J., Kelly, C., Colantoni, A., and Carlucci, M.

Published
2016
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2. An exploratory analysis of land abandonment drivers in areas prone to desertification

Author

Kosmas, C., Kairis, O., Karavitis, C., Acikalin, S., Alcalá, M., Alfama, P., Atlhopheng, J., Barrera, J., Belgacem, A., Solé-Benet, A., Brito, J., Chaker, M., Chanda, R., Darkoh, M., Ermolaeva, O., Fassouli, V., Fernandez, F., Gokceoglu, C., Gonzalez, D., Gungor, H., Hessel, R., Khatteli, H., Khitrov, N., Kounalaki, A., Laouina, A., Magole, L., Medina, L., Mendoza, M., Mulale, K., Ocakoglu, F., Ouessar, M., Ovalle, C., Perez, C., Perkins, J., Pozo, A., Prat, C., Ramos, A., Ramos, J., Riquelme, J., Ritsema, C., Romanenkov, V., Sebego, R., Sghaier, M., Silva, N., Sizemskaya, M., Sonmez, H., Taamallah, H., Tezcan, L., de Vente, J., Zagal, E., Zeiliguer, A., and Salvati, L.

Published
2015
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3. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Methodological Approach

Author

Kosmas, C., Kairis, Or., Karavitis, Ch., Ritsema, C., Salvati, L., Acikalin, S., Alcalá, M., Alfama, P., Atlhopheng, J., Barrera, J., Belgacem, A., Solé-Benet, A., Brito, J., Chaker, M., Chanda, R., Coelho, C., Darkoh, M., Diamantis, I., Ermolaeva, O., Fassouli, V., Fei, W., Feng, J., Fernandez, F., Ferreira, A., Gokceoglu, C., Gonzalez, D., Gungor, H., Hessel, R., Juying, J., Khatteli, H., Khitrov, N., Kounalaki, A., Laouina, A., Lollino, P., Lopes, M., Magole, L., Medina, L., Mendoza, M., Morais, P., Mulale, K., Ocakoglu, F., Ouessar, M., Ovalle, C., Perez, C., Perkins, J., Pliakas, F., Polemio, M., Pozo, A., Prat, C., Qinke, Y., Ramos, A., Ramos, J., Riquelme, J., Romanenkov, V., Rui, L., Santaloia, F., Sebego, R., Sghaier, M., Silva, N., Sizemskaya, M., Soares, J., Sonmez, H., Taamallah, H., Tezcan, L., Torri, D., Ungaro, F., Valente, S., de Vente, J., Zagal, E., Zeiliguer, A., Zhonging, W., and Ziogas, A.

Published
2014
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4. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Types of Degradation, Causes, and Implications for Management

Author

Kairis, Or., Kosmas, C., Karavitis, Ch., Ritsema, C., Salvati, L., Acikalin, S., Alcalá, M., Alfama, P., Atlhopheng, J., Barrera, J., Belgacem, A., Solé-Benet, A., Brito, J., Chaker, M., Chanda, R., Coelho, C., Darkoh, M., Diamantis, I., Ermolaeva, O., Fassouli, V., Fei, W., Feng, J., Fernandez, F., Ferreira, A., Gokceoglu, C., Gonzalez, D., Gungor, H., Hessel, R., Juying, J., Khatteli, H., Khitrov, N., Kounalaki, A., Laouina, A., Lollino, P., Lopes, M., Magole, L., Medina, L., Mendoza, M., Morais, P., Mulale, K., Ocakoglu, F., Ouessar, M., Ovalle, C., Perez, C., Perkins, J., Pliakas, F., Polemio, M., Pozo, A., Prat, C., Qinke, Y., Ramos, A., Ramos, J., Riquelme, J., Romanenkov, V., Rui, L., Santaloia, F., Sebego, R., Sghaier, M., Silva, N., Sizemskaya, M., Soares, J., Sonmez, H., Taamallah, H., Tezcan, L., Torri, D., Ungaro, F., Valente, S., de Vente, J., Zagal, E., Zeiliguer, A., Zhonging, W., and Ziogas, A.

Published
2014
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5. The impact of selected climatic factors on the growth of Greek fir on Mount Giona in mainland Greece based on tree ring analysis.

Author

Koulelis, P. P., Fassouli, V. P., Petrakis, P. V., Ioannidis, K. D., and Alexandris, S.

Subjects
*DENDROCHRONOLOGY, *TREE-rings, *DROUGHTS, *TREE growth, *ATMOSPHERIC temperature, *CLIMATE extremes, *FIR
Abstract

Tree ring chronologies are considered critical when investigating important relations between tree growth and climate. In the present study, we studied the impact of precipitation and air temperature on Abies cephalonica, an endemic Greek species, by evaluating radial growth data from tree ring analysis. The two sampled stands had elevations of 988 m and 1.274 m above sea level, respectively, and were located on Mountain Giona in central Greece. The hyperbola two-parameter function was used for fitting a tree growth model and detrending, separetly for the two sites. After detrending, the Average Tree Ring Width Index (ARWI) values were calculated and the averaged values per site were standardized and plotted. Due to the lack of temperature data, during the last 30 years, we used the Standardized Precipitation Index (SPI) based only on precipitation, to investigate the impact of extreme drought on Abies cephalonica growth at the two sites. We tested both a 6-month time step (SPI6) calculated for March to August and a 12-month step (SPI12) calculated for October-September and representing the hydrological year and correlated the results with ARWI. Furthermore, separate correlations between selected average temperatures, precipitation (for period 2009-2019) and radial growth were tested. We found that SPI is useful to reveal negative or positive growth due to extreme climate conditions. The extreme drought event of 1985 (SPI < -2) was followed by an important growth decrease for both stands. In contrast, the extremely wet year of 1971 (SPI > 2) was followed by increased growth in the following year (1972), again for both stands. Less pronounced events, as indicated by the SPI, caused less clear impacts on the measured radial growth. A general decline in growth was observed after 1998 for both elevations and was not connected with SPI. We suggest that this decrease was associated to observed defoliations by Choristoneura murinana, a moth feeding on shoots. [ABSTRACT FROM AUTHOR]

Published
2022

6. CONTRIBUTION OF EMPIRICAL METHODS AND SATELLITE DATA USE FOR ESTIMATING DAILY REFERENCE EVAPOTRANSPIRATION

Author

Alexandris, S., Tsesmelis, D., Proutsos, N., Chatzithomas, C., Skondras, N., Stamatakos, D., Vasilakou, C., Gkotsis, I., Fassouli, V., Vitoratos, E., and Karavitis, C.

Subjects
Εξατμοδιαπνοή αναφοράς, Δορυφορικά δεδομένα, Εμπειρικές μέθοδοι, reference evapotranspiration, satellite data, empirical methods
Abstract

Στην παρούσα εργασία χρησιμοποιούνται επίγεια και δορυφορικά μετεωρολογικά δεδομένα του έτους 2014 από την περιοχή της Βοιωτίας. Τα επίγεια δεδομένα προέρχονται από τον αυτόματο αγρομετεωρολογικό σταθμό (ΑΑΣ) μέτρησης της εξατμισοδιαπνοής αναφοράς (ΕΤο) του Γεωπονικού Πανεπιστημίου Αθηνών (ΓΠΑ). Τα μετεωρολογικά δορυφορικά δεδομένα (SAT) αντιστοιχούν σε πολύγωνο 0.25οΧ0.25ο εντός του οποίου λειτουργεί και ο ΑΑΣ. Χρησιμοποιώντας τα επίγεια αλλά και τα δορυφορικά δεδομένα, υπολογίσθηκε η ΕΤο με τη μέθοδο FAO-56 PM, αλλά και με τρεις εμπειρικές μεθόδους (Copais, Valiantzas και Hargreaves-Samani) και πραγματοποιήθηκαν συγκρίσεις με σκοπό να αξιολογηθεί η αξιοπιστία των μοντέλων. Ως βάση των συγκρίσεων υιοθετήθηκε η μέθοδος FAO-56 PM με χρήση επίγειων δεδομένων. Από την εργασία προκύπτει ότι τόσο για τα επίγεια όσο και για τα δορυφορικά δεδομένα η μέθοδος Copais δίνει τις καλύτερες εκτιμήσεις ακολουθούμενη από την μέθοδο Valiantzas και με σοβαρή υπερεκτίμηση η Hargreaves-Samani., In the present study we used ground and satellite meteorological data of the year 2014 from the region of Viotia-Greece. The ground data were obtained from the automatic grass reference evapotranspiration station (AAS) of the Agricultural University of Athens. The satellite data (SAT) cover an area of 0,25ο x 0,25ο that includes the AAS. By using the ground and the satellite data we calculated the reference evapotranspiration, ΕΤο, with the method FAO-56 PM and with three empirical methods (Copais, Valiantzas and Hargreaves-Samani). The FAO-56 PM was used as a benchmark method to compare and validate the performances of the others methods. The results show that for both the ground and the satellite data, Copais method is the most accurate followed by Valiantzas and Hargreaves-Samani, indicated by serious overestimation.

Published
2016

7. Unveiling soil degradation and desertification risk in the Mediterranean basin: a data mining analysis of the relationships between biophysical and socioeconomic factors in agro-forest landscapes

Author

Salvati, L., primary, Kosmas, C., additional, Kairis, O., additional, Karavitis, C., additional, Acikalin, S., additional, Belgacem, A., additional, Solé-Benet, A., additional, Chaker, M., additional, Fassouli, V., additional, Gokceoglu, C., additional, Gungor, H., additional, Hessel, R., additional, Khatteli, H., additional, Kounalaki, A., additional, Laouina, A., additional, Ocakoglu, F., additional, Ouessar, M., additional, Ritsema, C., additional, Sghaier, M., additional, Sonmez, H., additional, Taamallah, H., additional, Tezcan, L., additional, and de Vente, J., additional

Published
2014
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8. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Types of Degradation, Causes, and Implications for Management

Author

Kairis, Or., primary, Kosmas, C., additional, Karavitis, Ch., additional, Ritsema, C., additional, Salvati, L., additional, Acikalin, S., additional, Alcalá, M., additional, Alfama, P., additional, Atlhopheng, J., additional, Barrera, J., additional, Belgacem, A., additional, Solé-Benet, A., additional, Brito, J., additional, Chaker, M., additional, Chanda, R., additional, Coelho, C., additional, Darkoh, M., additional, Diamantis, I., additional, Ermolaeva, O., additional, Fassouli, V., additional, Fei, W., additional, Feng, J., additional, Fernandez, F., additional, Ferreira, A., additional, Gokceoglu, C., additional, Gonzalez, D., additional, Gungor, H., additional, Hessel, R., additional, Juying, J., additional, Khatteli, H., additional, Khitrov, N., additional, Kounalaki, A., additional, Laouina, A., additional, Lollino, P., additional, Lopes, M., additional, Magole, L., additional, Medina, L., additional, Mendoza, M., additional, Morais, P., additional, Mulale, K., additional, Ocakoglu, F., additional, Ouessar, M., additional, Ovalle, C., additional, Perez, C., additional, Perkins, J., additional, Pliakas, F., additional, Polemio, M., additional, Pozo, A., additional, Prat, C., additional, Qinke, Y., additional, Ramos, A., additional, Ramos, J., additional, Riquelme, J., additional, Romanenkov, V., additional, Rui, L., additional, Santaloia, F., additional, Sebego, R., additional, Sghaier, M., additional, Silva, N., additional, Sizemskaya, M., additional, Soares, J., additional, Sonmez, H., additional, Taamallah, H., additional, Tezcan, L., additional, Torri, D., additional, Ungaro, F., additional, Valente, S., additional, de Vente, J., additional, Zagal, E., additional, Zeiliguer, A., additional, Zhonging, W., additional, and Ziogas, A., additional

Published
2013
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9. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Methodological Approach

Author

Kosmas, C., primary, Kairis, Or., additional, Karavitis, Ch., additional, Ritsema, C., additional, Salvati, L., additional, Acikalin, S., additional, Alcalá, M., additional, Alfama, P., additional, Atlhopheng, J., additional, Barrera, J., additional, Belgacem, A., additional, Solé-Benet, A., additional, Brito, J., additional, Chaker, M., additional, Chanda, R., additional, Coelho, C., additional, Darkoh, M., additional, Diamantis, I., additional, Ermolaeva, O., additional, Fassouli, V., additional, Fei, W., additional, Feng, J., additional, Fernandez, F., additional, Ferreira, A., additional, Gokceoglu, C., additional, Gonzalez, D., additional, Gungor, H., additional, Hessel, R., additional, Juying, J., additional, Khatteli, H., additional, Khitrov, N., additional, Kounalaki, A., additional, Laouina, A., additional, Lollino, P., additional, Lopes, M., additional, Magole, L., additional, Medina, L., additional, Mendoza, M., additional, Morais, P., additional, Mulale, K., additional, Ocakoglu, F., additional, Ouessar, M., additional, Ovalle, C., additional, Perez, C., additional, Perkins, J., additional, Pliakas, F., additional, Polemio, M., additional, Pozo, A., additional, Prat, C., additional, Qinke, Y., additional, Ramos, A., additional, Ramos, J., additional, Riquelme, J., additional, Romanenkov, V., additional, Rui, L., additional, Santaloia, F., additional, Sebego, R., additional, Sghaier, M., additional, Silva, N., additional, Sizemskaya, M., additional, Soares, J., additional, Sonmez, H., additional, Taamallah, H., additional, Tezcan, L., additional, Torri, D., additional, Ungaro, F., additional, Valente, S., additional, de Vente, J., additional, Zagal, E., additional, Zeiliguer, A., additional, Zhonging, W., additional, and Ziogas, A., additional

Published
2013
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10. Unveiling soil degradation and desertification risk in the Mediterranean basin: a data mining analysis of the relationships between biophysical and socioeconomic factors in agro-forest landscapes.

Author

Salvati, L., Kosmas, C., Kairis, O., Karavitis, C., Acikalin, S., Belgacem, A., Solé-Benet, A., Chaker, M., Fassouli, V., Gokceoglu, C., Gungor, H., Hessel, R., Khatteli, H., Kounalaki, A., Laouina, A., Ocakoglu, F., Ouessar, M., Ritsema, C., Sghaier, M., and Sonmez, H.

Subjects
SOIL degradation, SOIL corrosion, ENVIRONMENTAL degradation, DATA analysis, PROBABILITY theory
Abstract

Soil degradation and desertification processes in the Mediterranean basin reflect the interplay between environmental and socioeconomic drivers. An approach to evaluate comparatively the multiple relationships between biophysical variables and socioeconomic factors is illustrated in the present study using the data collected from 586 field sites located in five Mediterranean areas (Spain, Greece, Turkey, Tunisia and Morocco). A total of 47 variables were chosen to illustrate land-use, farm characteristics, population pressure, tourism development, rainfall regime, water availability, soil properties and vegetation cover, among others. A data mining approach incorporating non-parametric inference, principal component analysis and hierarchical clustering was developed to identify candidate syndromes of soil degradation and desertification risk. While field sites in the same study area showed a substantial similarity, the multivariate relationship among variables diverged among study areas. Data mining techniques proved to be a practical tool to identify spatial determinants of soil degradation and desertification risk. Our findings identify the contrasting spatial patterns for biophysical and socioeconomic variables, in turn associated with different responses to land degradation. [ABSTRACT FROM AUTHOR]

Published
2015
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