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16 results on '"Acikalin, S."'

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. Turbidity Currents Can Dictate Organic Carbon Fluxes Across River‐Fed Fjords: An Example From Bute Inlet (BC, Canada)

Author

Hage, S, Galy, VV, Cartigny, MJB, Heerema, C, Heijnen, MS, Acikalin, S, Clare, MA, Giesbrecht, I, Gröcke, DR, Hendry, A, Hilton, RG, Hubbard, SM, Hunt, JE, Lintern, DG, McGhee, C, Parsons, DR, Pope, EL, Stacey, CD, Sumner, EJ, Tank, S, and Talling, PJ

Subjects
fjords, Atmospheric Science, sediment, Ecology, organic carbon, Paleontology, Soil Science, Forestry, carbon burial, Aquatic Science, rivers, submarine channel, Water Science and Technology
Abstract

The delivery and burial of terrestrial particulate organic carbon (OC) in marine sediments is important to quantify, because this OC is a food resource for benthic communities, and if buried it may lower the concentrations of atmospheric CO2 over geologic timescales. Analysis of sediment cores has previously shown that fjords are hotspots for OC burial. Fjords can contain complex networks of submarine channels formed by seafloor sediment flows, called turbidity currents. However, the burial efficiency and distribution of OC by turbidity currents in river-fed fjords had not been investigated previously. Here, we determine OC distribution and burial efficiency across a turbidity current system within Bute Inlet, a fjord in western Canada. We show that 62 ± 10 % of the OC supplied by the two river sources is buried across the fjord surficial (30 to 200 cm) sediment. The sandy sub-environments (channel and lobe) contain 63 ± 14 % of the annual terrestrial OC burial in the fjord. In contrast, the muddy sub-environments (overbank and distal basin) contain the remaining 37 ± 14 %. OC in the channel, lobe and overbank exclusively comprises terrestrial OC sourced from rivers. When normalized by the fjord’s surface area, at least three times more terrestrial OC is buried in Bute Inlet, compared to the muddy parts of other fjords previously studied. Although the long-term (>100 year) preservation of this OC is still to be fully understood, turbidity currents in fjords appear to be efficient at storing OC supplied by rivers in their near-surface deposits. Plain Language Summary Plants on land use CO2 from the atmosphere to produce organic carbon, which promotes their growth. Rivers transport organic carbon to the sea, where it is either eaten by fauna or buried in the seafloor, thus decreasing atmospheric CO2 levels on Earth over thousands to millions of years. Fjords are recognized as global organic carbon sinks; trapping 18 million tons of organic carbon in their seafloor sediments each year. However, the complex morphology of fjord seafloors was not considered in the calculation of this organic carbon flux. In this study we determine the distribution and abundance of terrestrial organic carbon across a fjord (Bute Inlet, Canada), which contains a submarine channel network terminating onto a large accumulation of sand (called a lobe). We show that 62 % of the organic carbon supplied by the two rivers connected to the fjord is buried across the fjord; the majority of this carbon being held in the lobe. In total, Bute Inlet buries at least three times more organic carbon per unit of surface area than other fjords previously studied. Submarine channels in fjords thus appear to promote the storage of land-derived organic carbon in the seafloor, potentially impacting CO2 levels and food resources for marine fauna. Key Points Bute Inlet, a river-fed fjord incised by turbidity currents, has a contemporary terrestrial organic carbon burial efficiency of 62 ± 10 % Sandy surficial deposits are responsible for 63 ± 14 % of the total terrestrial organic carbon burial budget in Bute Inlet, but only cover 17 % of the seafloor area Global estimates based only on the muddy parts of fjords may significantly underestimate organic carbon burial rates by a factor > 3

Published
2022

5. 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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6. 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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9. Efficient preservation of young terrestrial organic carbon in sandy turbidity-current deposits

Author

Hage, S., primary, Galy, V.V., additional, Cartigny, M.J.B., additional, Acikalin, S., additional, Clare, M.A., additional, Gröcke, D.R., additional, Hilton, R.G., additional, Hunt, J.E., additional, Lintern, D.G., additional, McGhee, C.A., additional, Parsons, D.R., additional, Stacey, C.D., additional, Sumner, E.J., additional, and Talling, P.J., additional

Published
2020
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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., 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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11. 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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12. 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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13. 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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