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3. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author

Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., Bates, A., Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., and Bates, A.

Abstract

Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring.

Published
2021

4. sPlotOpen:an environmentally balanced, open-access, global dataset of vegetation plots

Author

Sabatini, F. M. (Francesco Maria), Lenoir, J. (Jonathan), Hattab, T. (Tarek), Arnst, E. A. (Elise Aimee), Chytry, M. (Milan), Dengler, J. (Juergen), De Ruffray, P. (Patrice), Hennekens, S. M. (Stephan M.), Jandt, U. (Ute), Jansen, F. (Florian), Jimenez-Alfaro, B. (Borja), Kattge, J. (Jens), Levesley, A. (Aurora), Pillar, V. D. (Valerio D.), Purschke, O. (Oliver), Sandel, B. (Brody), Sultana, F. (Fahmida), Aavik, T. (Tsipe), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Agrillo, E. (Emiliano), Alvarez, M. (Miguel), Apostolova, I. (Iva), Arfin Khan, M. A. (Mohammed A. S.), Arroyo, L. (Luzmila), Attorre, F. (Fabio), Aubin, I. (Isabelle), Banerjee, A. (Arindam), Bauters, M. (Marijn), Bergeron, Y. (Yves), Bergmeier, E. (Erwin), Biurrun, I. (Idoia), Bjorkman, A. D. (Anne D.), Bonari, G. (Gianmaria), Bondareva, V. (Viktoria), Brunet, J. (Jorg), Carni, A. (Andraz), Casella, L. (Laura), Cayuela, L. (Luis), Cerny, T. (Tomas), Chepinoga, V. (Victor), Csiky, J. (Janos), Custerevska, R. (Renata), De Bie, E. (Els), de Gasper, A. L. (Andre Luis), De Sanctis, M. (Michele), Dimopoulos, P. (Panayotis), Dolezal, J. (Jiri), Dziuba, T. (Tetiana), El-Sheikh, M. A. (Mohamed Abd El-Rouf Mousa), Enquist, B. (Brian), Ewald, J. (Joerg), Fazayeli, F. (Farideh), Field, R. (Richard), Finckh, M. (Manfred), Gachet, S. (Sophie), Galan-de-Mera, A. (Antonio), Garbolino, E. (Emmanuel), Gholizadeh, H. (Hamid), Giorgis, M. (Melisa), Golub, V. (Valentin), Alsos, I. G. (Inger Greve), Grytnes, J.-A. (John-Arvid), Guerin, G. R. (Gregory Richard), Gutierrez, A. G. (Alvaro G.), Haider, S. (Sylvia), Hatim, M. Z. (Mohamed Z.), Herault, B. (Bruno), Hinojos Mendoza, G. (Guillermo), Hoelzel, N. (Norbert), Homeier, J. (Juergen), Hubau, W. (Wannes), Indreica, A. (Adrian), Janssen, J. A. (John A. M.), Jedrzejek, B. (Birgit), Jentsch, A. (Anke), Juergens, N. (Norbert), Kacki, Z. (Zygmunt), Kapfer, J. (Jutta), Karger, D. N. (Dirk Nikolaus), Kavgaci, A. (Ali), Kearsley, E. (Elizabeth), Kessler, M. (Michael), Khanina, L. (Larisa), Killeen, T. (Timothy), Korolyuk, A. (Andrey), Kreft, H. (Holger), Kuehl, H. S. (Hjalmar S.), Kuzemko, A. (Anna), Landucci, F. (Flavia), Lengyel, A. (Attila), Lens, F. (Frederic), Lingner, D. V. (Debora Vanessa), Liu, H. (Hongyan), Lysenko, T. (Tatiana), Mahecha, M. D. (Miguel D.), Marceno, C. (Corrado), Martynenko, V. (Vasiliy), Moeslund, J. E. (Jesper Erenskjold), Monteagudo Mendoza, A. (Abel), Mucina, L. (Ladislav), Muller, J. V. (Jonas V.), Munzinger, J. (Jerome), Naqinezhad, A. (Alireza), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onyshchenko, V. (Viktor), Overbeck, G. E. (Gerhard E.), Partel, M. (Meelis), Pauchard, A. (Anibal), Peet, R. K. (Robert K.), Penuelas, J. (Josep), Perez-Haase, A. (Aaron), Peterka, T. (Tomas), Petrik, P. (Petr), Peyre, G. (Gwendolyn), Phillips, O. L. (Oliver L.), Prokhorov, V. (Vadim), Rasomavicius, V. (Valerijus), Revermann, R. (Rasmus), Rivas-Torres, G. (Gonzalo), Rodwell, J. S. (John S.), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Samimi, C. (Cyrus), Schmidt, M. (Marco), Schrodt, F. (Franziska), Shan, H. (Hanhuai), Shirokikh, P. (Pavel), Sibik, J. (Jozef), Silc, U. (Urban), Sklenar, P. (Petr), Skvorc, Z. (Zeljko), Sparrow, B. (Ben), Sperandii, M. G. (Marta Gaia), Stancic, Z. (Zvjezdana), Svenning, J.-C. (Jens-Christian), Tang, Z. (Zhiyao), Tang, C. Q. (Cindy Q.), Tsiripidis, I. (Ioannis), Vanselow, K. A. (Kim Andre), Vasquez Martinez, R. (Rodolfo), Vassilev, K. (Kiril), Velez-Martin, E. (Eduardo), Venanzoni, R. (Roberto), Vibrans, A. C. (Alexander Christian), Violle, C. (Cyrille), Virtanen, R. (Risto), von Wehrden, H. (Henrik), Wagner, V. (Viktoria), Walker, D. A. (Donald A.), Waller, D. M. (Donald M.), Wang, H.-F. (Hua-Feng), Wesche, K. (Karsten), Whitfeld, T. J. (Timothy J. S.), Willner, W. (Wolfgang), Wiser, S. K. (Susan K.), Wohlgemuth, T. (Thomas), Yamalov, S. (Sergey), Zobel, M. (Martin), Bruelheide, H. (Helge), Sabatini, F. M. (Francesco Maria), Lenoir, J. (Jonathan), Hattab, T. (Tarek), Arnst, E. A. (Elise Aimee), Chytry, M. (Milan), Dengler, J. (Juergen), De Ruffray, P. (Patrice), Hennekens, S. M. (Stephan M.), Jandt, U. (Ute), Jansen, F. (Florian), Jimenez-Alfaro, B. (Borja), Kattge, J. (Jens), Levesley, A. (Aurora), Pillar, V. D. (Valerio D.), Purschke, O. (Oliver), Sandel, B. (Brody), Sultana, F. (Fahmida), Aavik, T. (Tsipe), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Agrillo, E. (Emiliano), Alvarez, M. (Miguel), Apostolova, I. (Iva), Arfin Khan, M. A. (Mohammed A. S.), Arroyo, L. (Luzmila), Attorre, F. (Fabio), Aubin, I. (Isabelle), Banerjee, A. (Arindam), Bauters, M. (Marijn), Bergeron, Y. (Yves), Bergmeier, E. (Erwin), Biurrun, I. (Idoia), Bjorkman, A. D. (Anne D.), Bonari, G. (Gianmaria), Bondareva, V. (Viktoria), Brunet, J. (Jorg), Carni, A. (Andraz), Casella, L. (Laura), Cayuela, L. (Luis), Cerny, T. (Tomas), Chepinoga, V. (Victor), Csiky, J. (Janos), Custerevska, R. (Renata), De Bie, E. (Els), de Gasper, A. L. (Andre Luis), De Sanctis, M. (Michele), Dimopoulos, P. (Panayotis), Dolezal, J. (Jiri), Dziuba, T. (Tetiana), El-Sheikh, M. A. (Mohamed Abd El-Rouf Mousa), Enquist, B. (Brian), Ewald, J. (Joerg), Fazayeli, F. (Farideh), Field, R. (Richard), Finckh, M. (Manfred), Gachet, S. (Sophie), Galan-de-Mera, A. (Antonio), Garbolino, E. (Emmanuel), Gholizadeh, H. (Hamid), Giorgis, M. (Melisa), Golub, V. (Valentin), Alsos, I. G. (Inger Greve), Grytnes, J.-A. (John-Arvid), Guerin, G. R. (Gregory Richard), Gutierrez, A. G. (Alvaro G.), Haider, S. (Sylvia), Hatim, M. Z. (Mohamed Z.), Herault, B. (Bruno), Hinojos Mendoza, G. (Guillermo), Hoelzel, N. (Norbert), Homeier, J. (Juergen), Hubau, W. (Wannes), Indreica, A. (Adrian), Janssen, J. A. (John A. M.), Jedrzejek, B. (Birgit), Jentsch, A. (Anke), Juergens, N. (Norbert), Kacki, Z. (Zygmunt), Kapfer, J. (Jutta), Karger, D. N. (Dirk Nikolaus), Kavgaci, A. (Ali), Kearsley, E. (Elizabeth), Kessler, M. (Michael), Khanina, L. (Larisa), Killeen, T. (Timothy), Korolyuk, A. (Andrey), Kreft, H. (Holger), Kuehl, H. S. (Hjalmar S.), Kuzemko, A. (Anna), Landucci, F. (Flavia), Lengyel, A. (Attila), Lens, F. (Frederic), Lingner, D. V. (Debora Vanessa), Liu, H. (Hongyan), Lysenko, T. (Tatiana), Mahecha, M. D. (Miguel D.), Marceno, C. (Corrado), Martynenko, V. (Vasiliy), Moeslund, J. E. (Jesper Erenskjold), Monteagudo Mendoza, A. (Abel), Mucina, L. (Ladislav), Muller, J. V. (Jonas V.), Munzinger, J. (Jerome), Naqinezhad, A. (Alireza), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onyshchenko, V. (Viktor), Overbeck, G. E. (Gerhard E.), Partel, M. (Meelis), Pauchard, A. (Anibal), Peet, R. K. (Robert K.), Penuelas, J. (Josep), Perez-Haase, A. (Aaron), Peterka, T. (Tomas), Petrik, P. (Petr), Peyre, G. (Gwendolyn), Phillips, O. L. (Oliver L.), Prokhorov, V. (Vadim), Rasomavicius, V. (Valerijus), Revermann, R. (Rasmus), Rivas-Torres, G. (Gonzalo), Rodwell, J. S. (John S.), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Samimi, C. (Cyrus), Schmidt, M. (Marco), Schrodt, F. (Franziska), Shan, H. (Hanhuai), Shirokikh, P. (Pavel), Sibik, J. (Jozef), Silc, U. (Urban), Sklenar, P. (Petr), Skvorc, Z. (Zeljko), Sparrow, B. (Ben), Sperandii, M. G. (Marta Gaia), Stancic, Z. (Zvjezdana), Svenning, J.-C. (Jens-Christian), Tang, Z. (Zhiyao), Tang, C. Q. (Cindy Q.), Tsiripidis, I. (Ioannis), Vanselow, K. A. (Kim Andre), Vasquez Martinez, R. (Rodolfo), Vassilev, K. (Kiril), Velez-Martin, E. (Eduardo), Venanzoni, R. (Roberto), Vibrans, A. C. (Alexander Christian), Violle, C. (Cyrille), Virtanen, R. (Risto), von Wehrden, H. (Henrik), Wagner, V. (Viktoria), Walker, D. A. (Donald A.), Waller, D. M. (Donald M.), Wang, H.-F. (Hua-Feng), Wesche, K. (Karsten), Whitfeld, T. J. (Timothy J. S.), Willner, W. (Wolfgang), Wiser, S. K. (Susan K.), Wohlgemuth, T. (Thomas), Yamalov, S. (Sergey), Zobel, M. (Martin), and Bruelheide, H. (Helge)

Abstract

Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measuremen

Published
2021

8. Potential Impacts of Climate Change on Wood Resources Towards 2050 in two Contrasted Bioclimatic Regions in France

Author

Garbolino, E., Pourbaix, T., Daniel, W., Dieckhoff, L., Rabot-Querci, M.L., and De Ruffray, P.

Subjects
Biomass
Abstract

The development of wood-based collective and industrial energy systems has experienced a significant increase since the end of the 90’s in France, with almost 7,000 power and heating plants currently in operation. Because these systems are built to deliver energy over a long period, it is relevant to assess, for two different bioclimatic regions, the potential impacts of global warming on three tree species that are representative of French forests and account for a large part of wood energy supply. The assessment of the distribution of suitable areas for these species in 2050, by using the IPCC RCP6.0 scenario, shows a potential decrease of suitable areas. The assessment of the Net Primary Productivity (NPP) underlines a potential decrease of NPP for the majority of plots in 2050, and an increase of this parameter in mountainous areas. These results point out the need to assess the potential impacts of climate change on the fitness and growth of tree species by 2050, in order to help stakeholders to adopt resilient biomass supply strategies., Proceedings of the 28th European Biomass Conference and Exhibition, 6-9 July 2020, Virtual, pp. 9-14

Published
2020
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9. Expected Net Primary Productivity Evolution Towards 2100 in Mexico Country: Implications for Wood Energy Supply Chain

Author

Garbolino, E., Hinojos Mendoza, G., Daniel, W., Gutierrez Ramos, C., Heredia Corral, D., and Soto Cruz, R.

Subjects
Biomass
Abstract

Biomass represents in Mexico 5% of energy production and wood represents 3.5% of the total energy supply and around 38% of the renewable energy sources. Wood biomass plays a role in the energy production of the country. IPCC scenarios and results have shown, like other studies that climate change may affect some forest structures in Mexico towards 2100 and thus, the wood supply chain for energy uses. We propose a study in order to assess the potential impacts of climate change on the evolution of the spatial distribution of suitable areas for the development of Pinus forests, Quercus forests and mixed forests. We also apply a model for the assessment of the evolution of Net Primary Productivity (NPP) by 2100. The combination of those two models integrated into CDS (Climate Data Science) toolbox underlines a risk of wood decrease for the selected forest structures by 2100, highlighting the risk of loss of biomass for the energy purpose., Proceedings of the 28th European Biomass Conference and Exhibition, 6-9 July 2020, Virtual, pp. 46-49

Published
2020
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10. Potential Vulnerability of Wood Energy Supply Chain Towards 2050 in the French Mediterranean Area According to the Global Warming and the Evolution of Wildland Fire Hazard

Author

Garbolino, E. and Daniel, W.

Subjects
Biomass
Abstract

Late studies, among them the IPCC reports published in 2014, 2015 and 2018, underlined a potential decrease of forest areas in Mediterranean context due to the global warming. Climate change can generate different phenomena on wood resource like the reduction of Net Primary Productivity (NPP), the increase of trees death-rate or the expansion of wildland fires. All of these events may have a negative impact on the biomass resource used for energy purpose. This assumption, if verified, would have a significant impact on the development of the wood energy supply chain which is usually planned on time range of at least 25 to 30 years. According to this situation, we propose an Ecosystem Based Approach in order to assess the potential areas that are and would be suitable for the development of the wood energy supply chain in all the Mediterranean territories of France. In this frame, we developed two models that are integrated into a Spatial Decision Support System prototype. The results show a possible significant reduction of the suitable areas for the development of the majority of the tree species and a possible increase of the wildland fire areas towards 2050 in many areas., Proceedings of the 27th European Biomass Conference and Exhibition, 27-30 May 2019, Lisbon, Portugal, pp. 23-31

Published
2019
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11. Risk assessment in LPG loading operations by simulation

Author

Gallab, M., Tkiouat, M., Hafida Bouloiz, Garbolino, E., Laboratoire d'Etudes et Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d'Ingénieurs (EMI), Laboratoire du génie industriel et informatique (LG2I), Laboratoire du génie industriel et informatique, Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

Subjects
LPG loading operations, Failure scenarios, AnyLogic platform, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq, Simulation, Risk assessment
Abstract

International audience; The objective of this paper is to assess the risks associated with LPG loading and especially the risks that could undergo the pump. The pump is substantial equipment that ensures and guarantees the LPG loading. A list of failure scenarios related to this equipment was conducted. The most relevance will be simulated. AnyLogic platform based on Multi-Agent Systems is used to assess the safety of this supply chain. This simulation allows the calculation of the criticality of each failure occurrence and specifies the status of the equipment (working, degraded, shutdown). The final goal is orienting responsible to the best assessment decisions.

Published
2017

12. MongoDB-Hadoop Distributed and Scalable Framework for Spatio-Temporal Hazardous Materials Data Warehousing

Author

Boulmakoul, A., Karim, L., Laarabi, M. H., roberto sacile, Garbolino, E., Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Department of Communication, Universita degli studi di Genova, and Daniel P. Ames, Nigel W.T. Quinn and Andrea E. Rizzoli

Subjects
HAZMAT Space Time Path Data Warehouse, Environmental Engineering, Real-time Data Collection, Modeling and Simulation, Time-dependent shortest path, Dangerous Goods Transport, Dangerous goods transport, Fuzzy weighted graph, HAZMAT space time path data warehouse, Real-time data collection, Software, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq
Abstract

International audience; Today the demand for Carriage of Dangerous Goods is experiencing significant increase on Moroccan market. Each year, more than 15 million tons of dangerous goods are transported by road in Morocco. The transport of dangerous goods is regulated by a legal framework in line with international standards; including the European Agreement concerning the International Carriage of Dangerous Goods by Road (ADR) came into effect in Morocco in June 2003. With the aim to facilitate the deployment of some ADR guidelines, this project offers essential IT solutions for its application at the regional and national scale. In this context, the project involves development of software components for calculating safer time-dependent routes, spatial analysis of Voronoi network and establishment of a decisional database to capture HAZMAT (Hazardous Materials) shipments and occurring incidents or accidents. The framework that we propose assumes three major software components. The first is dedicated to the processing of time-dependent routes that considers risk and traffic conditions. The second is developing the transport network partitioning using Voronoi graph diagrams. This component is used for the purposes of management interventions. Finally, the last component provides a NoSQL database for the storage of HAZMAT events and shipping data. Other supports components are provided for collecting and visualizing of data and spatio-temporal events related to HAZMAT. All given components are integrated into an interoperable software infrastructure respecting intelligent transport systems architecture. This infrastructure is distributed and based on a service-oriented architecture. It is also scalable by integration of MongoDB with Hadoop for large-scale distributed data processing. In this work, we also give an assessment of the performance, scalability and fault-tolerance of using MongoDB with Hadoop, towards the goal of identifying the right architecture and software environment for HAZMAT spatio-temporal data analytics.

Published
2014

14. Modélisation dynamique des systèmes industriels à risques

Author

Garbolino, E., Chery, J.P., Guarnieri, F., École des Mines de Paris, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), and Franck GUARNIERI

Subjects
gestion des entreprises, hygiène industrielle, [SDE]Environmental Sciences, Economie, Sécurité, Organisation des entreprises, gestion de production, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq, Qualité, maintenance
Abstract

En France et en Europe, la maîtrise des risques industriels est fondée sur une approche qui intègre l'identification et la hiérarchisation des risques en vue de proposer des moyens techniques, organisationnels et humains de prévention, de protection et d'intervention. Afin d'apporter aux décideurs des éléments de réflexion pour définir un mode d'organisation de la sécurité autour des activités d'une entreprise ou pour vérifier la pertinence des moyens de prévention et de gestion des risques déployés sur un site industriel, il convient de procéder à une analyse des risques et à sa modélisation. L'objectif de cet ouvrage est de proposer une démarche d'analyse des risques d'un système industriel, en s'appuyant sur sa modélisation dynamique pour en simuler son activité, à la fois en mode normal et en mode dégradé. Abordant dans une première partie les notions de systémique et de dynamique des systèmes, cet ouvrage présente ensuite une méthode de raisonnement originale en matière de sécurité industrielle appliquée à l'exemple concret de l'analyse des risques d'une unité de dépotage de chlore dans une usine de production de matières plastiques. Modélisation dynamique des systèmes industriels à risques s'adresse aux professionnels de la maîtrise des risques, aux responsables hygiène, sécurité et maintenance des sites industriels ainsi qu'à tous les décideurs.

Published
2010

15. Modélisation en Dynamique des systèmes pour améliorer l'analyse des risques dans le contexte des industries Seveso

Author

Garbolino, E., Chery, J.P., Guarnieri, F., Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF)

Subjects
[SDE]Environmental Sciences
Abstract

International audience; Industries that fall under the legal requirements of the EU Seveso Directives must produce a safety report principally demonstrating that major-accident hazards have been identified and that the necessary measures have been taken to prevent their consequences. This legal specification involves the choice of a risk analysis approach, usually deterministic or probabilistic. These approaches have been formalized since the early of the 60's for the most of them, and they are based upon the consultation of expert judgments and reliability databases (for technical and human aspects). Due to the complexity of the industrial systems and their own dynamic in time and space, these risk assessment methods need to be supported by a systemic vision of their processes. Based on the systemic theory introduced by Forrester, this paper aims to propose a methodology to modeling and simulate the functioning of a chlorine storage and distribution unit, in order to promote a better risk prevention. This methodology include four complementary steps: i) the modeling of the system using the systemic theory principles and terms; ii) the implementation of this model into a Dynamic System platform for its simulation; iii) the simulation of the system using normal and abnormal scenarios in order to identify and to estimate the consequences of these deviations; iv) the assessment of the proposed barriers efficiency. After the application of this systemic methodology, these results are introduced into a HAZOP analyze to support the experts' risk assessment. As a conclusion, the authors discuss the benefits and limits of the implementation of a systemic approach in the safety reports, and propose some ways to generalize the proposed methodology.

Published
2009

16. A Spatial Decision Support System Prototype for Assessing Road Hazmat Accident Impacts on the Population in a Dense Urban Area: a Case Study of the City of Nice, French Riviera

Author

Garbolino, E., Sacile, Roberto, Olampi, S., Bersani, Chiara, Tomasoni, A., Alexandre, N., Trasforini, E., Benza, Mauro, Giglio, Davide, Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Department of Communication, Universita degli studi di Genova, Dipartimento di Informatica, Sistemistica e Telematica (DIST), Universita degli studi di Genova -Università di Genova, Université Pascal Paoli (UPP), Dipartimento di Informatica Sistemica e Telematica, and Università di Genova

Subjects
Accident, Decision Support, Spatial, Urban Area, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq
Abstract

Icheap-8 conference 24-27 june 2007, Ischia. Available: http://www.aidic.it/cet/07/11/068.pdf; International audience; The authors present a Spatial Decision Support System (SDSS) for assessing the impact of a gas release from a hazmat (Hazardous Material) transportation accident on the population in a dense urbanized area (Nice, French Riviera). The data of hazmat type and routing come from two complementary prototypes: i) a hazmat identification system which recognizes the UN code of hazardous material carried by trucks ii) onboard sensors and GPS monitoring the flows of some hazmat trucks in real time. The Computer-Aided Management of Emergency Operations (CAMEO) is associated to the GIS platform in order to assess the dispersion distances of gas releases in the case of a hazmat accident on the highway that crosses the city of Nice on its northern sector. The SDSS provides maps of the population, infrastructures, environmental and economic stakes potentially affected by the gas release and it estimates the number of targets affected. This SDSS is dedicated to the emergency units and the highway companies in order to help the decision-makers in a context of crisis management. This SDSS is also a means to make the public authorities aware of the importance of the hazmat accident prevention and regulation.

Published
2007

21. Quelles natures voulons-nous ? : pour une approche socio-écologique du champ de l'environnement

Author

Guarnieri, F., Garbolino, E., Houllier, F., Cuq, F., Lévêque, Christian, Weill, A., Matarasso, P., Lévêque, Christian (ed.), Van der Leeuw, S. (ed.), and Reynier, I. (coord.)

Subjects
PROTECTION DE L'ECOSYSTEME, RELATION HOMME NATURE, RESEAU D'INFORMATION, ECOSYSTEME, ACQUISITION DE DONNEES, SYSTEME D'INFORMATION GEOGRAPHIQUE, RECHERCHE PLURIDISCIPLINAIRE, RECHERCHE ACTION, BASE DE DONNEES, MODELISATION, EXPLOITATION DES RESSOURCES NATURELLES, FACTEUR ANTHROPIQUE, CARTOGRAPHIE
Published
2003

25. Comparaisons architecturales de deux cultivars de Chamaelaucium uncinatun eleves sous deux climats differents

Author

Garbolino, E., Institut francilien recherche, innovation et société (IFRIS), Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-OST-Université Paris-Est Marne-la-Vallée (UPEM)-Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)-ESIEE Paris-Centre National de la Recherche Scientifique (CNRS), and Université Nice Sophia Antipolis (UNS), FRA.

Subjects
ARCHITECTURE, FACTEUR CLIMAT, [SDV]Life Sciences [q-bio]
Abstract

*INRA Antibes URIH Route des Colles Sophia Antipolis 06410 Biot Diffusion du document : INRA Antibes URIH Route des Colles Sophia Antipolis 06410 Biot

Published
1994

28. Conformity checking of LPG Transportation Trucks by Modelling and Simulation

Author

Gallab Maryam, Bouloiz Hafida, Tkiouat Mohamed, and Garbolino Emmanuel

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

LPG Loading /unloading site is considered as a dangerous environment of significant risk, especially during LPG transfer operations. These risks may cause catastrophic dangers such as BLEVE (Boiling Liquid Expanding Vapour Explosion), UVCE (Unconfined Vapour Cloud Explosion), etc. The site consists of a tank (RST) containing LPG and threetransfer posts. Two posts allow loading of small carrier tankers 6 tons. The other one transfer post transfer LPG contained injumbo tankers 20 tons inside the tank. The industrial site at risks chooses to demonstrate the need for a modelling-simulation approach. The aim is to check first compliance and authorization of the truck when it enters the site for loading /unloading, to verify the authorization to make the transfer, and then, to identify the driver and his training to ensure that the transfer operations are going to take place without incident. Sometimes, it may happen that Consignment Operator (CO) is busy orabsent and thus the driver operates alone without being authorized, in this case the site risks a loss of control due to a lack of resources. The modelling-simulation will be done using multi-agent systems that will present the drivers, trucks, PO and loading unloading posts as agents in order to have a model facilitating this checking.

Published
2017
Full Text
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29. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author

Ben Sparrow, V. B. Martynenko, Jonathan Lenoir, Eszter Ruprecht, Idoia Biurrun, Luzmila Arroyo, Borja Jiménez-Alfaro, Aníbal Pauchard, Roberto Venanzoni, Stephan M. Hennekens, Mohamed Z. Hatim, Cyrus Samimi, Arkadiusz Nowak, Gerhard E. Overbeck, Petr Sklenář, Renata Ćušterevska, Valentin Golub, Eduardo Vélez-Martin, Gwendolyn Peyre, Inger Greve Alsos, Ioannis Tsiripidis, Tarek Hattab, Andrey Yu. Korolyuk, Jutta Kapfer, Jörg Ewald, Donald M. Waller, Ute Jandt, Tetiana Dziuba, Marco Schmidt, Alvaro G. Gutiérrez, Thomas Wohlgemuth, Adrian Indreica, Zygmunt Kącki, Jürgen Dengler, Željko Škvorc, Dirk Nikolaus Karger, Panayotis Dimopoulos, Viktor Onyshchenko, Hanhuai Shan, John Janssen, Hua Feng Wang, Holger Kreft, Jérôme Munzinger, Brian J. Enquist, Frederic Lens, Wannes Hubau, Birgit Jedrzejek, Alexander Christian Vibrans, Miguel D. Mahecha, Emmanuel Garbolino, Sophie Gachet, Abel Monteagudo Mendoza, Josep Peñuelas, Melisa A. Giorgis, Svetlana Aćić, Débora Vanessa Lingner, Victor V. Chepinoga, Richard Field, Ladislav Mucina, Michele De Sanctis, Mohamed A. El-Sheikh, Isabelle Aubin, Hamid Gholizadeh, Fahmida Sultana, Fabio Attorre, Valerijus Rašomavičius, Cindy Q. Tang, Tomáš Černý, Gonzalo Rivas-Torres, Donald A. Walker, Alicia Teresa Rosario Acosta, Timothy J. Killeen, Francesco Maria Sabatini, Susan K. Wiser, Urban Šilc, Andraž Čarni, Florian Jansen, Valério D. Pillar, Jonas V. Müller, Aaron Pérez-Haase, Els De Bie, Antonio Galán-de-Mera, Zhiyao Tang, Anne D. Bjorkman, Sylvia Haider, Kiril Vassilev, Risto Virtanen, Henrik von Wehrden, Hjalmar S. Kühl, Manfred Finckh, Zvjezdana Stančić, Pavel Shirokikh, Elizabeth Kearsley, Petr Petřík, Yves Bergeron, Iva Apostolova, Emiliano Agrillo, Jozef Šibík, Norbert Jürgens, Marta Gaia Sperandii, Anna Kuzemko, Jens-Christian Svenning, Timothy J. S. Whitfeld, Michael Kessler, Bruno Hérault, John-Arvid Grytnes, Laura Casella, Tomáš Peterka, Miguel Alvarez, Tsipe Aavik, Gregory Richard Guerin, André Luis de Gasper, Corrado Marcenò, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens Kattge, Guillermo Hinojos Mendoza, Anke Jentsch, Arindam Banerjee, Jesper Erenskjold Moeslund, Mohammed Abu Sayed Arfin Khan, Patrice de Ruffray, Milan Chytrý, S. M. Yamalov, Tatiana Lysenko, Meelis Pärtel, Viktoria Bondareva, Helge Bruelheide, John S. Rodwell, Jiri Dolezal, Oliver L. Phillips, Rasmus Revermann, Larisa Khanina, Erwin Bergmeier, Robert K. Peet, Jörg Brunet, Solvita Rūsiņa, Oliver Purschke, Gianmaria Bonari, Jürgen Homeier, Martin Zobel, János Csiky, Marijn Bauters, Jalil Noroozi, Karsten Wesche, Kim André Vanselow, Norbert Hölzel, Flavia Landucci, Farideh Fazayeli, Wolfgang Willner, Viktoria Wagner, Alireza Naqinezhad, Aurora Levesley, Vadim Prokhorov, Hongyan Liu, Ali Kavgaci, Rodolfo Vásquez Martínez, Franziska Schrodt, Attila Lengyel, Elise A. Arnst, Sabatini F.M., Lenoir J., Hattab T., Arnst E.A., Chytry M., Dengler J., De Ruffray P., Hennekens S.M., Jandt U., Jansen F., Jimenez-Alfaro B., Kattge J., Levesley A., Pillar V.D., Purschke O., Sandel B., Sultana F., Aavik T., Acic S., Acosta A.T.R., Agrillo E., Alvarez M., Apostolova I., Arfin Khan M.A.S., Arroyo L., Attorre F., Aubin I., Banerjee A., Bauters M., Bergeron Y., Bergmeier E., Biurrun I., Bjorkman A.D., Bonari G., Bondareva V., Brunet J., Carni A., Casella L., Cayuela L., Cerny T., Chepinoga V., Csiky J., Custerevska R., De Bie E., de Gasper A.L., De Sanctis M., Dimopoulos P., Dolezal J., Dziuba T., El-Sheikh M.A.E.-R.M., Enquist B., Ewald J., Fazayeli F., Field R., Finckh M., Gachet S., Galan-de-Mera A., Garbolino E., Gholizadeh H., Giorgis M., Golub V., Alsos I.G., Grytnes J.-A., Guerin G.R., Gutierrez A.G., Haider S., Hatim M.Z., Herault B., Hinojos Mendoza G., Holzel N., Homeier J., Hubau W., Indreica A., Janssen J.A.M., Jedrzejek B., Jentsch A., Jurgens N., Kacki Z., Kapfer J., Karger D.N., Kavgaci A., Kearsley E., Kessler M., Khanina L., Killeen T., Korolyuk A., Kreft H., Kuhl H.S., Kuzemko A., Landucci F., Lengyel A., Lens F., Lingner D.V., Liu H., Lysenko T., Mahecha M.D., Marceno C., Martynenko V., Moeslund J.E., Monteagudo Mendoza A., Mucina L., Muller J.V., Munzinger J., Naqinezhad A., Noroozi J., Nowak A., Onyshchenko V., Overbeck G.E., Partel M., Pauchard A., Peet R.K., Penuelas J., Perez-Haase A., Peterka T., Petrik P., Peyre G., Phillips O.L., Prokhorov V., Rasomavicius V., Revermann R., Rivas-Torres G., Rodwell J.S., Ruprecht E., Rusina S., Samimi C., Schmidt M., Schrodt F., Shan H., Shirokikh P., Sibik J., Silc U., Sklenar P., Skvorc Z., Sparrow B., Sperandii M.G., Stancic Z., Svenning J.-C., Tang Z., Tang C.Q., Tsiripidis I., Vanselow K.A., Vasquez Martinez R., Vassilev K., Velez-Martin E., Venanzoni R., Vibrans A.C., Violle C., Virtanen R., von Wehrden H., Wagner V., Walker D.A., Waller D.M., Wang H.-F., Wesche K., Whitfeld T.J.S., Willner W., Wiser S.K., Wohlgemuth T., Yamalov S., Zobel M., Bruelheide H., Sabatini, Fm, Lenoir, J, Hattab, T, Arnst, Ea, Chytry, M, Dengler, J, De Ruffray, P, Hennekens, Sm, Jandt, U, Jansen, F, Jimenez-Alfaro, B, Kattge, J, Levesley, A, Pillar, Vd, Purschke, O, Sandel, B, Sultana, F, Aavik, T, Acic, S, Acosta, Atr, Agrillo, E, Alvarez, M, Apostolova, I, Khan, Masa, Arroyo, L, Attorre, F, Aubin, I, Banerjee, A, Bauters, M, Bergeron, Y, Bergmeier, E, Biurrun, I, Bjorkman, Ad, Bonari, G, Bondareva, V, Brunet, J, Carni, A, Casella, L, Cayuela, L, Cerny, T, Chepinoga, V, Csiky, J, Custerevska, R, De Bie, E, de Gasper, Al, De Sanctis, M, Dimopoulos, P, Dolezal, J, Dziuba, T, El-Sheikh, Mam, Enquist, B, Ewald, J, Fazayeli, F, Field, R, Finckh, M, Gachet, S, Galan-de-Mera, A, Garbolino, E, Gholizadeh, H, Giorgis, M, Golub, V, Alsos, Ig, Grytnes, Ja, Guerin, Gr, Gutierrez, Ag, Haider, S, Hatim, Mz, Herault, B, Mendoza, Gh, Holzel, N, Homeier, J, Hubau, W, Indreica, A, Janssen, Jam, Jedrzejek, B, Jentsch, A, Jurgens, N, Kacki, Z, Kapfer, J, Karger, Dn, Kavgaci, A, Kearsley, E, Kessler, M, Khanina, L, Killeen, T, Korolyuk, A, Kreft, H, Kuhl, H, Kuzemko, A, Landucci, F, Lengyel, A, Lens, F, Lingner, Dv, Liu, Hy, Lysenko, T, Mahecha, Md, Marceno, C, Martynenko, V, Moeslund, Je, Mendoza, Am, Mucina, L, Muller, Jv, Munzinger, Jm, Naqinezhad, A, Noroozi, J, Nowak, A, Onyshchenko, V, Overbeck, Ge, Partel, M, Pauchard, A, Peet, Rk, Penuelas, J, Perez-Haase, A, Peterka, T, Petrik, P, Peyre, G, Phillips, Ol, Prokhorov, V, Rasomavicius, V, Revermann, R, Rivas-Torres, G, Rodwell, J, Ruprecht, E, Rusina, S, Samimi, C, Schmidt, M, Schrodt, F, Shan, Hh, Shirokikh, P, Sibik, J, Silc, U, Sklenar, P, Skvorc, Z, Sparrow, B, Sperandii, Mg, Stancic, Z, Svenning, Jc, Tang, Zy, Tang, Cq, Tsiripidis, I, Vanselow, Ka, Martinez, Rv, Vassilev, K, Velez-Martin, E, Venanzoni, R, Vibrans, Ac, Violle, C, Virtanen, R, von Wehrden, H, Wagner, V, Walker, Da, Waller, Dm, Wang, Hf, Wesche, K, Whitfeld, Tj, Willner, W, Wiser, Sk, Wohlgemuth, T, Yamalov, S, Zobel, M, Bruelheide, H, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche sur les Risques et les Crises (CRC), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), ANR-07-BDIV-0006,BIONEOCAL,L'endémisme en Nouvelle-Calédonie : étude phylogénétique et populationnelle des son émergence.(2007), ANR-07-BDIV-0008,INC,Incendies et biodiversité de écosystèmes en Nouvelle-Calédonie.(2007), ANR-07-BDIV-0010,ULTRABIO,Biodiversité et stratégies adaptatives végétales et microbiennes des écosystèmes ultramafiques en Nouvelle-Calédonie.(2007), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
0106 biological sciences, Biome, Bos- en Landschapsecologie, Biodiversity, DIVERSITY, FOREST VEGETATION, 01 natural sciences, purl.org/becyt/ford/1 [https], Abundance (ecology), big data, Vegetation type, PHYTOSOCIOLOGICAL DATABASE, parcelle, Forest and Landscape Ecology, functional traits, vascular plants, biodiversity, biogeography, database, macroecology, vegetation plots, Macroecology, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Global and Planetary Change, Ecology, vascular plant, Vegetation, F70 - Taxonomie végétale et phytogéographie, PE&RC, Vegetation plot, Geography, 580: Pflanzen (Botanik), Ecosystems Research, Diffusion de l'information, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Biodiversité, ARCHIVE, Communauté végétale, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, Biogéographie, GRASSLAND VEGETATION, Plant Ecology and Nature Conservation, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, Behavior and Systematics, Couverture végétale, 577: Ökologie, PLANT, purl.org/becyt/ford/1.6 [https], functional trait, Biology, Ecology, Evolution, Behavior and Systematics, Vegetatie, 010604 marine biology & hydrobiology, Impact sur l'environnement, DRY GRASSLANDS, Plant community, 15. Life on land, Végétation, WETLAND VEGETATION, Earth and Environmental Sciences, UNIVERSITY, Physical geography, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, données ouvertes
Abstract

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code, EU H2020 project BACI, Grant No. 640176 (...), Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E.A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Alvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., de Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El-Sheikh, M.A.E.-R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán-de-Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J.-A., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Peñuelas, J., Pérez-Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas-Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J.-C., Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez-Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., von Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H.-F., Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H.

Published
2021
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30. Ellenberg-type indicator values for European vascular plant species

Author

Lubomír, Tichý, Irena, Axmanová, Jürgen, Dengler, Riccardo, Guarino, Florian, Jansen, Gabriele, Midolo, Nobis, Michael P., Koenraad, Van&nbsp, Meerbeek, Svetlana, Aćić, Attorre, Fabio, Erwin, Bergmeier, Idoia, Biurrun, Gianmaria, Bonari, Helge, Bruelheide, Juan Antonio Campos, Andraž, Čarni, Alessandro, Chiarucci, Mirjana, Ćuk, Renata, Ćušterevska, Yakiv, Didukh, Daniel, Dítě, Zuzana, Dítě, Tetiana, Dziuba, Fanelli, Giuliano, Eduardo, Fernández‐pascual, Emmanuel, Garbolino, Gavilán, Rosario G., Jean‐claude, Gégout, Ulrich, Graf, Behlül, Güler, Michal, Hájek, Hennekens, Stephan M., Ute, Jandt, Anni, Jašková, Borja, Jiménez‐alfaro, Philippe, Julve, Stephan, Kambach, Dirk Nikolaus Karger, Gerhard, Karrer, Ali, Kavgacı, Ilona, Knollová, Anna, Kuzemko, Filip, Küzmič, Flavia, Landucci, Attila, Lengyel, Jonathan, Lenoir, Corrado, Marcenò, Jesper Erenskjold Moeslund, Pavel, Novák, Aaron, Pérez‐haase, Tomáš, Peterka, Remigiusz, Pielech, Pignatti, Alessandro, Valerijus, Rašomavičius, Solvita, Rūsiņa, Arne, Saatkamp, Urban, Šilc, Željko, Škvorc, Jean‐paul, Theurillat, Thomas, Wohlgemuth, Milan, Chytrý, Tichy L., Axmanova I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., VanMeerbeek K., Acic S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Carni A., Chiarucci A., Cuk M., Custerevska R., Didukh Y., Dite D., Dite Z., Dziuba T., Fanelli G., Fernandez-Pascual E., Garbolino E., Gavilan R.G., Gegout J.-C., Graf U., Guler B., Hajek M., Hennekens S.M., Jandt U., Jaskova A., Jimenez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgaci A., Knollova I., Kuzemko A., Kuzmic F., Landucci F., Lengyel A., Lenoir J., Marceno C., Moeslund J.E., Novak P., Perez-Haase A., Peterka T., Pielech R., Pignatti A., Rasomavicius V., Rusina S., Saatkamp A., Silc U., Skvorc Z., Theurillat J.-P., Wohlgemuth T., Chytry M., Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández‐Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean‐Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez‐Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolau, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez‐Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valeriju, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean‐Paul, Wohlgemuth, Thoma, and Chytrý, Milan

Subjects
Vascular plant, bioindication, Ellenberg indicator values, light, moisture, nutrients, reaction, salinity, temperature, vascular plants, Bos- en Landschapsecologie, Environmental Sciences & Ecology, Plant Science, MOISTURE, RICHNESS, FORESTS, GRADIENT, ECOLOGICAL BEHAVIOR, Forest and Landscape Ecology, 577: Ökologie, Vegetatie, Ellenberg indicator value, Vegetation, Science & Technology, NORTH, Ecology, Plant Sciences, SHIFTS, Forestry, bioindication, Ellenberg indicator values, light, moisture, nutrients, reaction, salinity, temperature, vascular plants, REGIONS, 580: Pflanzen (Botanik), Settore BIO/03 - Botanica Ambientale E Applicata, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Life Sciences & Biomedicine, Nutrient
Abstract

This is a dataset of Ellenberg-type indicator values for European vascular plant species described in this article: Tichý L., Axmanová I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., Van Meerbeek K., Aćić S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Čarni A., Chiarucci A., Ćuk M., Ćušterevska M., Didukh Y., Dítě D., Dítě Z., Dziuba T., Fanelli G., Fernández-Pascual E., Garbolino E., Gavilán R.G., Gégout J.-C., Graf U., Güler B., Hájek M., Hennekens S.M., Jandt U., Jašková A., Jiménez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgacı A., Knollová I., Kuzemko A., Küzmič F., Landucci F., Lengyel A., Lenoir J., Marcenò C., Moeslund J.E., Novák P., Pérez-Haase A., Peterka T., Pielech R., Pignatti A., Rašomavičius V., Rūsiņa S., Saatkamp A., Šilc U., Škvorc Ž., Theurillat J.-P., Wohlgemuth T. & Chytrý M. (2023) Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34, e13168. https://doi.org/10.1111/jvs.13168 The dataset contains: 1) Harmonized Ellenberg-type indicator values for light, temperature, moisture, reaction, nutrients, and salinity for European vascular plants. 2) Original indicator values from 13 datasets of Ellenberg-type indicator values: - Germany (Ellenberg & Leuschner 2010) - Austria (Karrer 1992) - Cantabrian Range (Jiménez-Alfaro et al. 2021) - Czech Republic (Chytrý et al. 2018) - European mires (Hájek et al. 2020) - France (Julve 2015) - Great Britain (Hill et al. 2000) - Greece (South Aegean) (Böhling et al. 2002) - Hungary (Borhidi 1995) - Italy (Guarino & La Rosa 2019, modified) - Saline habitats (Dítě et al. 2023) - Switzerland and the Alps (Landolt et al. 2010) - Ukraine (Didukh 2011) 3) Species nomenclature is standardized according to the Euro+Med PlantBase (http://europlusmed.org)., The final version of the paper (accepted 8th Dec 2022; published 22nd Dec 2022). Difference from version 1.0: Minor changes in newly added species values calculated from co-occurrence with other species in the EVA database. They were corrected using straight-line calibration.

Published
2022
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31. Disturbance indicator values for European plants

Author

Gabriele Midolo, Tomáš Herben, Irena Axmanová, Corrado Marcenò, Ricarda Pätsch, Helge Bruelheide, Dirk Nikolaus Karger, Svetlana Aćić, Ariel Bergamini, Erwin Bergmeier, Idoia Biurrun, Gianmaria Bonari, Andraž Čarni, Alessandro Chiarucci, Michele De Sanctis, Olga Demina, Jürgen Dengler, Tetiana Dziuba, Giuliano Fanelli, Emmanuel Garbolino, Gianpietro Giusso del Galdo, Friedemann Goral, Behlül Güler, Guillermo Hinojos‐Mendoza, Florian Jansen, Borja Jiménez‐Alfaro, Attila Lengyel, Jonathan Lenoir, Aaron Pérez‐Haase, Remigiusz Pielech, Vadim Prokhorov, Valerijus Rašomavičius, Eszter Ruprecht, Solvita Rūsiņa, Urban Šilc, Željko Škvorc, Zvjezdana Stančić, Irina Tatarenko, Milan Chytrý, Midolo, G, Herben, T, Axmanova, I, Marceno, C, Patsch, R, Bruelheide, H, Karger, DN, Acic, S, Bergamini, A, Bergmeier, E, Biurrun, I, Bonari, G, Carni, A, Chiarucci, A, De Sanctis, M, Demina, O, Dengler, J, Dziuba, T, Fanelli, G, Garbolino, E, del Galdo, GG, Goral, F, Guler, B, Hinojos-Mendoza, G, Jansen, F, Jimenez-Alfaro, B, Lengyel, A, Lenoir, J, Perez-Haase, A, Pielech, R, Prokhorov, V, Rasomavicius, V, Ruprecht, E, Rusina, S, Silc, U, Skvorc, A, Stancic, Z, Tatarenko, I, and Chytry, M

Subjects
Ellenberg indicator value, Global and Planetary Change, Ecology, bioindicator, ecological niche, Ellenberg indicator values, expert judgement, functional trait, plant life-form, bioindicator, ecological niche, Ellenberg indicator values, expert judgement, functional trait, plant life-form, 580: Pflanzen (Botanik), 577: Ökologie, Ecology, Evolution, Behavior and Systematics
Abstract

Motivation: Indicator values are numerical values used to characterize the ecological niches of species and to estimate their occurrence along gradients. Indicator values on climatic and edaphic niches of plant species have received considerable attention in ecological research, whereas data on the optimal positioning of species along disturbance gradients are less developed. Here, we present a new data set of disturbance indicator values identifying optima along gradients of natural and anthropogenic disturbance for 6382 vascular plant species based on the analysis of 736,366 European vegetation plots and using expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima into large-scale vegetation analyses and macroecological studies. Main types of variables contained: We set up five main continuous indicator values for European vascular plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and for the herb layer. We calculated the values as the average of expert-based estimates of disturbance values in all habitat types where a species occurs, weighted by the number of plots in which the species occurs within a given habitat type. Spatial location and grain: Europe. Vegetation plots ranging in size from 1 to 1000 m2. Time period and grain: Vegetation plots mostly sampled between 1956 and 2013 (= 5th and 95th quantiles of the sampling year, respectively). Major taxa and level of measurement: Species-level indicator values for vascular plants. Software format: csv file. © 2022 John Wiley & Sons Ltd.

Published
2022

32. Assessment of risk and accident impacts related to dangerous goods transport in a dense urbanized are

Author

Garbolino, Emmanuel, Tomasoni, Angela Maria, Trasforini, Eva, Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Dipartimento di Informatica Sistemica e Telematica, Università di Genova, Bersani C., Boulmakoul A., Garbolino E., and Sacile R.

Subjects
dangerous goods, transport, accident, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq, risk
Abstract

Proceedings Advanced technologies and methodologies for risk management in the global transport of dangerous goods, Genova, Italy, 24-26 october 2007; International audience

Published
2008

33. Global decoupling of functional and phylogenetic diversity in plant communities.

Author

Hähn GJA, Damasceno G, Alvarez-Davila E, Aubin I, Bauters M, Bergmeier E, Biurrun I, Bjorkman AD, Bonari G, Botta-Dukát Z, Campos JA, Čarni A, Chytrý M, Ćušterevska R, de Gasper AL, De Sanctis M, Dengler J, Dolezal J, El-Sheikh MA, Finckh M, Galán-de-Mera A, Garbolino E, Gholizadeh H, Golub V, Haider S, Hatim MZ, Hérault B, Homeier J, Jandt U, Jansen F, Jentsch A, Kattge J, Kessler M, Khanina L, Kreft H, Küzmič F, Lenoir J, Moeslund JE, Mucina L, Naqinezhad A, Noroozi J, Pérez-Haase A, Phillips OL, Pillar VD, Rivas-Torres G, Ruprecht E, Sandel B, Schmidt M, Schmiedel U, Schnitzer S, Schrodt F, Šilc U, Sparrow B, Sporbert M, Stančić Z, Strohbach B, Svenning JC, Tang CQ, Tang Z, Vibrans AC, Violle C, Waller D, Wana D, Wang HF, Whitfeld T, Zizka G, Sabatini FM, and Bruelheide H

Subjects
Ecosystem, Biodiversity, Phylogeny, Plants
Abstract

Plant communities are composed of species that differ both in functional traits and evolutionary histories. As species' functional traits partly result from their individual evolutionary history, we expect the functional diversity of communities to increase with increasing phylogenetic diversity. This expectation has only been tested at local scales and generally for specific growth forms or specific habitat types, for example, grasslands. Here we compare standardized effect sizes for functional and phylogenetic diversity among 1,781,836 vegetation plots using the global sPlot database. In contrast to expectations, we find functional diversity and phylogenetic diversity to be only weakly and negatively correlated, implying a decoupling between these two facets of diversity. While phylogenetic diversity is higher in forests and reflects recent climatic conditions (1981 to 2010), functional diversity tends to reflect recent and past climatic conditions (21,000 years ago). The independent nature of functional and phylogenetic diversity makes it crucial to consider both aspects of diversity when analysing ecosystem functioning and prioritizing conservation efforts., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2025
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34. Climate regulation processes are linked to the functional composition of plant communities in European forests, shrublands, and grasslands.

Author

Kambach S, Attorre F, Axmanová I, Bergamini A, Biurrun I, Bonari G, Carranza ML, Chiarucci A, Chytrý M, Dengler J, Garbolino E, Golub V, Hickler T, Jandt U, Jansen J, Jiménez-Alfaro B, Karger DN, Lososová Z, Rašomavičius V, Rūsiņa S, Sieber P, Stanisci A, Thuiller W, Welk E, Zimmermann NE, and Bruelheide H

Subjects
Plants, Climate, Climatic Processes, Biodiversity, Ecosystem, Grassland
Abstract

Terrestrial ecosystems affect climate by reflecting solar irradiation, evaporative cooling, and carbon sequestration. Yet very little is known about how plant traits affect climate regulation processes (CRPs) in different habitat types. Here, we used linear and random forest models to relate the community-weighted mean and variance values of 19 plant traits (summarized into eight trait axes) to the climate-adjusted proportion of reflected solar irradiation, evapotranspiration, and net primary productivity across 36,630 grid cells at the European extent, classified into 10 types of forest, shrubland, and grassland habitats. We found that these trait axes were more tightly linked to log evapotranspiration (with an average of 6.2% explained variation) and the proportion of reflected solar irradiation (6.1%) than to net primary productivity (4.9%). The highest variation in CRPs was explained in forest and temperate shrubland habitats. Yet, the strength and direction of these relationships were strongly habitat-dependent. We conclude that any spatial upscaling of the effects of plant communities on CRPs must consider the relative contribution of different habitat types., (© 2024 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2024
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35. Habitat-based biodiversity responses to macroclimate and edaphic factors in European fen ecosystems.

Author

Jiménez-Alfaro B, Aunina L, Carbognani M, Dítě D, Fernández-Pascual E, Garbolino E, Hájek O, Hájková P, Ivchenko TG, Jandt U, Jansen F, Kolari THM, Pawlikowski P, Pérez-Haase A, Peterka T, Petraglia A, Plesková Z, Tahvanainen T, Tomaselli M, and Hájek M

Subjects
Ecosystem, Biodiversity, Wetlands, Plants, Bryophyta, Tracheophyta
Abstract

Understanding large-scale drivers of biodiversity in palustrine wetlands is challenging due to the combined effects of macroclimate and local edaphic conditions. In boreal and temperate fen ecosystems, the influence of macroclimate on biodiversity is modulated by hydrological settings across habitats, making it difficult to assess their vulnerability to climate change. Here, we investigate the influence of macroclimate and edaphic factors on three Essential Biodiversity Variables across eight ecologically defined habitats that align with ecosystem classifications and red lists. We used 27,555 vegetation plot samples from European fens to assess the influence of macroclimate and groundwater pH predictors on the geographic distribution of each habitat type. Additionally, we modeled the relative influence of macroclimate, water pH, and water table depth on community species richness and composition, focusing on 309 plant specialists. Our models reveal strong effects of mean annual temperature, diurnal thermal range, and summer temperature on biodiversity variables, with contrasting differences among habitats. While macroclimatic factors primarily shape geographic distributions and species richness, edaphic factors emerge as the primary drivers of composition for vascular plants and bryophytes. Annual precipitation exhibits non-linear effects on fen biodiversity, with varying impact across habitats with different hydrological characteristics, suggesting a minimum requirement of 600 mm of annual precipitation for the occurrence of fen ecosystems. Our results anticipate potential impacts of climate warming on European fens, with predictable changes among habitat types and geographic regions. Moreover, we provide evidence that the drivers of biodiversity in boreal and temperate fens are closely tied to the ecological characteristics of each habitat type and the dispersal abilities of bryophytes and vascular plants. Given that the influence of macroclimate and edaphic factors on fen ecosystems is habitat specific, climate change research and conservation actions should consider ecological differentiation within functional IUCN ecosystems at continental and regional scales., (© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2023
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36. Climate-trait relationships exhibit strong habitat specificity in plant communities across Europe.

Author

Kambach S, Sabatini FM, Attorre F, Biurrun I, Boenisch G, Bonari G, Čarni A, Carranza ML, Chiarucci A, Chytrý M, Dengler J, Garbolino E, Golub V, Güler B, Jandt U, Jansen J, Jašková A, Jiménez-Alfaro B, Karger DN, Kattge J, Knollová I, Midolo G, Moeslund JE, Pielech R, Rašomavičius V, Rūsiņa S, Šibík J, Stančić Z, Stanisci A, Svenning JC, Yamalov S, Zimmermann NE, and Bruelheide H

Subjects
Europe, Seeds, Ecosystem, Plants
Abstract

Ecological theory predicts close relationships between macroclimate and functional traits. Yet, global climatic gradients correlate only weakly with the trait composition of local plant communities, suggesting that important factors have been ignored. Here, we investigate the consistency of climate-trait relationships for plant communities in European habitats. Assuming that local factors are better accounted for in more narrowly defined habitats, we assigned > 300,000 vegetation plots to hierarchically classified habitats and modelled the effects of climate on the community-weighted means of four key functional traits using generalized additive models. We found that the predictive power of climate increased from broadly to narrowly defined habitats for specific leaf area and root length, but not for plant height and seed mass. Although macroclimate generally predicted the distribution of all traits, its effects varied, with habitat-specificity increasing toward more narrowly defined habitats. We conclude that macroclimate is an important determinant of terrestrial plant communities, but future predictions of climatic effects must consider how habitats are defined., (© 2023. The Author(s).)

Published
2023
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37. Rising temperature modulates pH niches of fen species.

Author

Hájek M, Těšitel J, Tahvanainen T, Peterka T, Jiménez-Alfaro B, Jansen F, Pérez-Haase A, Garbolino E, Carbognani M, Kolari THM, Hájková P, Jandt U, Aunina L, Pawlikowski P, Ivchenko T, Tomaselli M, Tichý L, Dítě D, Plesková Z, and Mikulášková E

Subjects
Climate Change, Ecosystem, Hydrogen-Ion Concentration, Temperature, Bryophyta, Sphagnopsida
Abstract

Rising temperatures may endanger fragile ecosystems because their character and key species show different habitat affinities under different climates. This assumption has only been tested in limited geographical scales. In fens, one of the most endangered ecosystems in Europe, broader pH niches have been reported from cold areas and are expected for colder past periods. We used the largest European-scale vegetation database from fens to test the hypothesis that pH interacts with macroclimate temperature in forming realized niches of fen moss and vascular plant species. We calibrated the data set (29,885 plots after heterogeneity-constrained resampling) with temperature, using two macroclimate variables, and with the adjusted pH, a variable combining pH and calcium richness. We modelled temperature, pH and water level niches for one hundred species best characterizing European fens using generalized additive models and tested the interaction between pH and temperature. Fifty-five fen species showed a statistically significant interaction between pH and temperature (adj p ˂ .01). Forty-six of them (84%) showed a positive interaction manifested by a shift or restriction of their niche to higher pH in warmer locations. Nine vascular plants and no moss showed the opposite interaction. Mosses showed significantly greater interaction. We conclude that climate significantly modulates edaphic niches of fen plants, especially bryophytes. This result explains previously reported regional changes in realized pH niches, a current habitat-dependent decline of endangered taxa, and distribution changes in the past. A warmer climate makes growing seasons longer and warmer, increases productivity, and may lower the water level. These effects prolong the duration and intensity of interspecific competition, support highly competitive Sphagnum mosses, and, as such, force niches of specialized fen species towards narrower high-pH ranges. Recent anthropogenic landscape changes pose a severe threat to many fen species and call for mitigation measures to lower competition pressure in their refugia., (© 2021 John Wiley & Sons Ltd.)

Published
2022
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39. A Simplified Approach to Risk Assessment Based on System Dynamics: An Industrial Case Study.

Author

Garbolino E, Chery JP, and Guarnieri F

Subjects
Industry organization & administration, Organizational Case Studies, Risk Assessment
Abstract

Seveso plants are complex sociotechnical systems, which makes it appropriate to support any risk assessment with a model of the system. However, more often than not, this step is only partially addressed, simplified, or avoided in safety reports. At the same time, investigations have shown that the complexity of industrial systems is frequently a factor in accidents, due to interactions between their technical, human, and organizational dimensions. In order to handle both this complexity and changes in the system over time, this article proposes an original and simplified qualitative risk evaluation method based on the system dynamics theory developed by Forrester in the early 1960s. The methodology supports the development of a dynamic risk assessment framework dedicated to industrial activities. It consists of 10 complementary steps grouped into two main activities: system dynamics modeling of the sociotechnical system and risk analysis. This system dynamics risk analysis is applied to a case study of a chemical plant and provides a way to assess the technological and organizational components of safety., (© 2016 Society for Risk Analysis.)

Published
2016
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40. [Probable flora: an expression mean of ecological gradients in France].

Author

Garbolino E, De Ruffray P, Brisse H, and Grandjouan G

Subjects
Algorithms, Atlantic Ocean, Classification, Data Collection, Databases, Factual, France, Mediterranean Region, Soil chemistry, Environment, Plants classification, Plants genetics
Abstract

The application of the criterion of fidelity of plants to plants over four millions botanical observations in France is considered to characterize the ecology of 215,000 phytosociological surveys. Among those discriminant plants, some are missing of the surveys, but they can have a certain probability of occurrence: these plants are called "probable plants" and they represent the "probable flora" of a territory. The study of their geographical distribution shows ecological gradients of flora across France in a better way than only considering the botanical observations. In fact, this method mitigates the discontinuities of taxa observations whose absence may be due to historical and/or anthropogenic factors., (Copyright © 2013 Académie des sciences. Published by Elsevier SAS. All rights reserved.)

Published
2013
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41. [The phytoclimates of France: probabilistic classification of 1874 bio-indicators of the climate].

Author

Garbolino E, De Ruffray P, Brisse H, and Grandjouan G

Subjects
Climate, Ecosystem, France, Geography, Probability, Plant Physiological Phenomena, Plants classification
Abstract

This article presents a synthesis of the relationships between plants and climates at the scale of France, based on a probabilistic classification of 1874 bio-indicators. This classification defines plants groups that indicate the climate, named phytoclimates, expressing the climatic gradients in France. This classification shows 210 phytoclimatic groups distributed into ten cluster levels. The analysis of the various hierarchical levels shows two main phytoclimates testifying the importance of the marine masses and the altitude. The analysis of the third hierarchical level underlines particular phytoclimates which would not be easily recognizable by only analysing the overlapping of floristic and climatic territories. This classification allows one to select taxa that are indicators of the climate. The distribution monitoring or modeling of these taxa should show the effects of the global change on the ecosystems.

Published
2008
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42. [Relationships between plants and climate in France: calibration of 1874 bio-indicators].

Author

Garbolino E, De Ruffray P, Brisse H, and Grandjouan G

Subjects
Calibration, France, Meteorological Concepts, Species Specificity, Climate, Plants
Abstract

The influence of climate on plants geography is studied through a probabilistic calibration between a botanical database, containing 12 000 plots, and a meteorological database composed of 574 climatic stations. The calibration measures the climatical optimum (position) and the indicator power (concentration) of 1874 plants for six climatic variables. The validation of these relations is based upon the comparison of the estimation of climate by plants and the values measured by climatic stations near the plots. This validation underlines that plants are accurate (accuracy=88.5%) and stable (stability=96.5%) bio-indicators of climate variables.

Published
2007
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