Search

Your search keyword '"Juilleret J"' showing total 14 results
Start Over Author "Juilleret J"
14 results on '"Juilleret J"'

2. Soils of the Luxembourg Lias Cuesta Landscape

Author

Cammeraat, L. H., primary, Sevink, J., additional, Hissler, C., additional, Juilleret, J., additional, Jansen, B., additional, Kooijman, A. M., additional, Pfister, L., additional, and Verstraten, J. M., additional

Published
2017
Full Text
View/download PDF

4. Soil legacy data rescue via GlobalSoilMap and other international and national initiatives

Author

Arrouays, D., Leenaars, J., Richer-de-Forges, A., Adhikari, K., Ballabio, C., Greve, M., Grundy, M., Guerrero, E., Hempel, J., Hengl, T., Heuvelink, G., Batjes, N., Carvalho, E., Hartemink, A., Hewitt, A., Hong, S., Krasilnikov, P., Lagacherie, P., Lelyk, G., Libohova, Z., Lilly, A., McBratney, A., McKenzie, N., Vasquez, G., Mulder, V., Minasny, B., Montanarella, L., Odeh, I., Padarian, J., Poggio, L., Roudier, P., Saby, N., Savin, I., Searle, R., Solbovoy, V., Thompson, J., Smith, S., Sulaeman, Y., Vintila, R., Viscarra Rossel, Raphael, Wilson, P., Zhang, G., Swerts, M., Oorts, K., Karklins, A., Feng, L., Ibelles Navarro, A., Levin, A., Laktionova, T., Dell'Acqua, M., Suvannang, N., Ruam, W., Prasad, J., Patil, N., Husnjak, S., Pásztor, L., Okx, J., Hallet, S., Keay, C., Farewell, T., Lilja, H., Juilleret, J., Marx, S., Takata, Y., Kazuyuki, Y., Mansuy, N., Panagos, P., Van Liedekerke, M., Skalsky, R., Sobocka, J., Kobza, J., Eftekhari, K., Alavipanah, S., Moussadek, R., Badraoui, M., Da Silva, M., Paterson, G., Gonçalves, M., Theocharopoulos, S., Yemefack, M., Tedou, S., Vrscaj, B., Grob, U., Kozák, J., Boruvka, L., Dobos, E., Taboada, M., Moretti, L., Rodriguez, D., Arrouays, D., Leenaars, J., Richer-de-Forges, A., Adhikari, K., Ballabio, C., Greve, M., Grundy, M., Guerrero, E., Hempel, J., Hengl, T., Heuvelink, G., Batjes, N., Carvalho, E., Hartemink, A., Hewitt, A., Hong, S., Krasilnikov, P., Lagacherie, P., Lelyk, G., Libohova, Z., Lilly, A., McBratney, A., McKenzie, N., Vasquez, G., Mulder, V., Minasny, B., Montanarella, L., Odeh, I., Padarian, J., Poggio, L., Roudier, P., Saby, N., Savin, I., Searle, R., Solbovoy, V., Thompson, J., Smith, S., Sulaeman, Y., Vintila, R., Viscarra Rossel, Raphael, Wilson, P., Zhang, G., Swerts, M., Oorts, K., Karklins, A., Feng, L., Ibelles Navarro, A., Levin, A., Laktionova, T., Dell'Acqua, M., Suvannang, N., Ruam, W., Prasad, J., Patil, N., Husnjak, S., Pásztor, L., Okx, J., Hallet, S., Keay, C., Farewell, T., Lilja, H., Juilleret, J., Marx, S., Takata, Y., Kazuyuki, Y., Mansuy, N., Panagos, P., Van Liedekerke, M., Skalsky, R., Sobocka, J., Kobza, J., Eftekhari, K., Alavipanah, S., Moussadek, R., Badraoui, M., Da Silva, M., Paterson, G., Gonçalves, M., Theocharopoulos, S., Yemefack, M., Tedou, S., Vrscaj, B., Grob, U., Kozák, J., Boruvka, L., Dobos, E., Taboada, M., Moretti, L., and Rodriguez, D.

Abstract

Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format. To process this legacy data into consistent, spatially explicit and continuous global soil information, data are being rescued and compiled into databases. Thousands of soil survey reports and maps have been scanned and made available online. The soil profile data reported by these data sources have been captured and compiled into databases. The total number of soil profiles rescued in the selected countries is about 800,000. Currently, data for 117, 000 profiles are compiled and harmonized according to GlobalSoilMap specifications in a world level database (WoSIS). The results presented at the country level are likely to be an underestimate. The majority of soil data is still not rescued and this effort should be pursued. The data have been used to produce soil property maps. We discuss the pro and cons of top-down and bottom-up approaches to produce such maps and we stress their complementarity. We give examples of success stories. The first global soil property maps using rescued data were produced by a top-down approach and were released at a limited resolution of 1 km in 2014, followed by an update at a resolution of 250 m in 2017. By the end of 2020, we aim to deliver the first worldwide product that fully meets the GlobalSoilMap specifications.

Published
2017

6. Assessing winter storm flow generation by means of permeability of the lithology and hydrological soil processes

Author

Hellebrand, H., Hoffmann, L., Juilleret, J., Pfister, L., and EGU, Publication

Subjects
[SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

In this study two approaches are used to predict winter storm flow coefficients in meso-scale basins (10 km2 to 1000 km2) with a view to regionalization. The winter storm flow coefficient corresponds to the ratio between rainfall and direct discharge caused by this rainfall. It is basin specific and supposed to give an integrated response to rainfall. The two approaches, which used the permeability of the substratum and soil hydrological processes as basin attributes are compared. The study area is the Rhineland Palatinate and the Grand Duchy of Luxembourg and the study focuses on the Nahe basin and its 16 sub-basins (Rhineland Palatinate). For the comparison, three statistical models were derived by means of regression analysis. The models used the winter storm flow coefficient as the dependent variable in the models; the independent variables were the permeability of the substratum, preliminary derived hydrological soil processes and a combination of both. It is assumed that the permeability and the preliminary derived hydrological soil processes carry different layers of information. Cross-validation and a statistical test were used to determine and evaluate model differences. The cross-validation resulted in a best model performance for the model that used both parameters, followed by the model that used the preliminary hydrological soil processes. From the statistical test it was concluded that the models come from different populations, carrying different information layers. Analysis of the residuals of the models indicated that the permeability and hydrological soil processes did provide complementary information. Simple linear models appeared to perform well in describing the winter storm flow coefficient at the meso-scale when a combination of the permeability of the substratum and soil hydrological processes served as independent parameters.

Published
2007

7. Spatio-temporal variability of behavioral patterns in hydrology in meso-scale basins of the Rhineland Palatinate (1972–2002)

Author

Hellebrand, H. (author), Van den Bos, R. (author), Hoffmann, L. (author), Juilleret, J. (author), Krein, A. (author), Pfister, L. (author), Hellebrand, H. (author), Van den Bos, R. (author), Hoffmann, L. (author), Juilleret, J. (author), Krein, A. (author), and Pfister, L. (author)

Abstract

Changes in spatio-temporal rainfall patterns have an effect on the hydrological behavior of river basins, the magnitude of the effects depending among others on the physiographic basin characteristics. To assess climate and discharge fluctuations, a visualization tool was developed as a contribution to exploratory data analysis. The tool combined statistical tests of hydro-climatological variables with physiographic basin characteristics. Test results agree with previous studies and suggested a relationship between rainfall, discharge and mean date of the annual maximum discharge on the one the hand and lithology, altitude and west to east positioning of the basins on the other hand. The visualization tool capable of combining the statistical test results with the geologic and topographic configuration of the study area and allowed a reflection on the hydro-climatological as well as spatio-temporal behavior of meso-scale basins by means of exploratory data analysis., Watermanagement, Civil Engineering and Geosciences

Published
2008
Full Text
View/download PDF

12. Soil legacy data rescue via GlobalSoilMap and other international and national initiatives

Author

Arrouays D., Leenaars J.G.B., Richer-de-Forges A.C., Adhikari K., Ballabio C., Greve M., Grundy M., Guerrero E., Hempel J., Hengl T., Heuvelink G., Batjes N., Carvalho E., Hartemink A., Hewitt A., Hong S.-Y., Krasilnikov P., Lagacherie P., Lelyk G., Libohova Z., Lilly A., McBratney A., McKenzie N., Vasquez G.M., Mulder V.L., Minasny B., Montanarella L., Odeh I., Padarian J., Poggio L., Roudier P., Saby N., Savin I., Searle R., Solbovoy V., Thompson J., Smith S., Sulaeman Y., Vintila R., Rossel R.V., Wilson P., Zhang G.-L., Swerts M., Oorts K., Karklins A., Feng L., Levin A., Laktionova T., Dell'Acqua M., Suvannang N., Ruam W., Prasad J., Patil N., Husnjak S., Pásztor L., Okx J., Hallet S., Keay C., Farewell T., Lilja H., Juilleret J., Marx S., Takata Y., Kazuyuki Y., Mansuy N., Panagos P., Skalsky R., Sobocka J., Kobza J., Eftekhari K., Alavipanah S.K., Moussadek R., Badraoui M., Paterson G., Gonçalves M.D.C., Theocharopoulos S., Yemefack M., Tedou S., Vrscaj B., Grob U., Kozák J., Boruvka L., Dobos E., Taboada M., Moretti L., Rodriguez D., Ibelles Navarro A.R., Van Liedekerke M., Da Silva M., Arrouays D., Leenaars J.G.B., Richer-de-Forges A.C., Adhikari K., Ballabio C., Greve M., Grundy M., Guerrero E., Hempel J., Hengl T., Heuvelink G., Batjes N., Carvalho E., Hartemink A., Hewitt A., Hong S.-Y., Krasilnikov P., Lagacherie P., Lelyk G., Libohova Z., Lilly A., McBratney A., McKenzie N., Vasquez G.M., Mulder V.L., Minasny B., Montanarella L., Odeh I., Padarian J., Poggio L., Roudier P., Saby N., Savin I., Searle R., Solbovoy V., Thompson J., Smith S., Sulaeman Y., Vintila R., Rossel R.V., Wilson P., Zhang G.-L., Swerts M., Oorts K., Karklins A., Feng L., Levin A., Laktionova T., Dell'Acqua M., Suvannang N., Ruam W., Prasad J., Patil N., Husnjak S., Pásztor L., Okx J., Hallet S., Keay C., Farewell T., Lilja H., Juilleret J., Marx S., Takata Y., Kazuyuki Y., Mansuy N., Panagos P., Skalsky R., Sobocka J., Kobza J., Eftekhari K., Alavipanah S.K., Moussadek R., Badraoui M., Paterson G., Gonçalves M.D.C., Theocharopoulos S., Yemefack M., Tedou S., Vrscaj B., Grob U., Kozák J., Boruvka L., Dobos E., Taboada M., Moretti L., Rodriguez D., Ibelles Navarro A.R., Van Liedekerke M., and Da Silva M.

Abstract

Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format. To process this legacy data into consistent, spatially explicit and continuous global soil information, data are being rescued and compiled into databases. Thousands of soil survey reports and maps have been scanned and made available online. The soil profile data reported by these data sources have been captured and compiled into databases. The total number of soil profiles rescued in the selected countries is about 800,000. Currently, data for 117, 000 profiles are compiled and harmonized according to GlobalSoilMap specifications in a world level database (WoSIS). The results presented at the country level are likely to be an underestimate. The majority of soil data is still not rescued and this effort should be pursued. The data have been used to produce soil property maps. We discuss the pro and cons of top-down and bottom-up approaches to produce such maps and we stress their complementarity. We give examples of success stories. The first global soil property maps using rescued data were produced by a top-down approach and were released at a limited resolution of 1 km in 2014, followed by an update at a resolution of 250 m in 2017. By the end of 2020, we aim to deliver the first worldwide product that fully meets the GlobalSoilMap specifications. © 2017 Elsevier Ltd

13. Soil legacy data rescue via GlobalSoilMap and other international and national initiatives.

Author

Arrouays D, Leenaars JGB, Richer-de-Forges AC, Adhikari K, Ballabio C, Greve M, Grundy M, Guerrero E, Hempel J, Hengl T, Heuvelink G, Batjes N, Carvalho E, Hartemink A, Hewitt A, Hong SY, Krasilnikov P, Lagacherie P, Lelyk G, Libohova Z, Lilly A, McBratney A, McKenzie N, Vasquez GM, Leatitia Mulder V, Minasny B, Luca M, Odeh I, Padarian J, Poggio L, Roudier P, Saby N, Savin I, Searle R, Solbovoy V, Thompson J, Smith S, Sulaeman Y, Vintila R, Rossel RV, Wilson P, Zhang GL, Swerts M, Oorts K, Karklins A, Feng L, Ibelles Navarro AR, Levin A, Laktionova T, Dell'Acqua M, Suvannang N, Ruam W, Prasad J, Patil N, Husnjak S, Pasztor L, Okx J, Hallet S, Keay C, Farewell T, Lilja H, Juilleret J, Marx S, Takata Y, Kazuyuki Y, Mansuy N, Panagos P, Van Liedekerke M, Skalsky R, Sobocka J, Kobza J, Eftekhari K, Kacem Alavipanah S, Moussadek R, Badraoui M, Da Silva M, Paterson G, da Conceicao Gonsalves M, Theocharopoulos S, Yemefack M, Tedou S, Vrscaj B, Grob U, Kozak J, Boruvka L, Dobos E, Taboada M, Moretti L, and Rodriguez D

Abstract

Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format. To process this legacy data into consistent, spatially explicit and continuous global soil information, data are being rescued and compiled into databases. Thousands of soil survey reports and maps have been scanned and made available online. The soil profile data reported by these data sources have been captured and compiled into databases. The total number of soil profiles rescued in the selected countries is about 800,000. Currently, data for 117, 000 profiles are compiled and harmonized according to GlobalSoilMap specifications in a world level database (WoSIS). The results presented at the country level are likely to be an underestimate. The majority of soil data is still not rescued and this effort should be pursued. The data have been used to produce soil property maps. We discuss the pro and cons of top-down and bottom-up approaches to produce such maps and we stress their complementarity. We give examples of success stories. The first global soil property maps using rescued data were produced by a top-down approach and were released at a limited resolution of 1km in 2014, followed by an update at a resolution of 250m in 2017. By the end of 2020, we aim to deliver the first worldwide product that fully meets the GlobalSoilMap specifications., (© 2017.)

Published
2017
Full Text
View/download PDF

14. The Surales, Self-Organized Earth-Mound Landscapes Made by Earthworms in a Seasonal Tropical Wetland.

Author

Zangerlé A, Renard D, Iriarte J, Suarez Jimenez LE, Adame Montoya KL, Juilleret J, and McKey D

Subjects
Animals, Colombia, Photography, Seasons, Venezuela, Oligochaeta physiology, Soil chemistry, Wetlands
Abstract

The formation, functioning and emergent properties of patterned landscapes have recently drawn increased attention, notably in semi-arid ecosystems. We describe and analyze a set of similarly spectacular landforms in seasonal tropical wetlands. Surales landscapes, comprised of densely packed, regularly spaced mounds, cover large areas of the Orinoco Llanos. Although descriptions of surales date back to the 1940's, their ecology is virtually unknown. From data on soil physical and chemical properties, soil macrofauna, vegetation and aerial imagery, we provide evidence of the spatial extent of surales and how they form and develop. Mounds are largely comprised of earthworm casts. Recognizable, recently produced casts account for up to one-half of total soil mass. Locally, mounds are relatively constant in size, but vary greatly across sites in diameter (0.5-5 m) and height (from 0.3 m to over 2 m). This variation appears to reflect a chronosequence of surales formation and growth. Mound shape (round to labyrinth) varies across elevational gradients. Mounds are initiated when large earthworms feed in shallowly flooded soils, depositing casts that form 'towers' above water level. Using permanent galleries, each earthworm returns repeatedly to the same spot to deposit casts and to respire. Over time, the tower becomes a mound. Because each earthworm has a restricted foraging radius, there is net movement of soil to the mound from the surrounding area. As the mound grows, its basin thus becomes deeper, making initiation of a new mound nearby more difficult. When mounds already initiated are situated close together, the basin between them is filled and mounds coalesce to form larger composite mounds. Over time, this process produces mounds up to 5 m in diameter and 2 m tall. Our results suggest that one earthworm species drives self-organizing processes that produce keystone structures determining ecosystem functioning and development.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results