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5. Doping Effects on the Multiferroic Properties of KNbO 3 Nanoparticles.

Author

Apostolov, A. T., Apostolova, I. N., and Wesselinowa, J. M.

Subjects
TRANSITION metal ions, GREEN'S functions, LATTICE constants, NANOPARTICLES
Abstract

The magnetization, polarization, and band-gap energy in pure and ion-doped KNbO 3 (KNO) bulk and nanoparticles (NPs) are investigated theoretically using a microscopic model and Green's function theory. It is shown that KNO NPs are multiferroic. The size dependence of M and P is studied. The magnetization M increases with decreasing NP size, whereas the polarization P decreases slightly. The properties of KNO can be tuned by ion doping, for example, through the substitution of transition metal ions at the Nb site or Na ions at the K site. By ion doping, depending on the relation between the doping and host ion radii, different strains appear. They lead to changes in the exchange interaction constants, which are inversely proportional to the lattice parameters. So, we studied the macroscopic properties on a microscopic level. By doping with transition metal ions (Co, Mn, Cr) at the Nb site, M increases, whereas P decreases. Doped KNO NPs exhibit the same behavior as doped bulk KNO, but the values of the magnetization and polarization in KNO NPs are somewhat enhanced or reduced due to the size effects compared to the doped bulk KNO. In order to increase P, we substituted the K ions with Na ions. The polarization increases with increasing magnetic field, which is evidence of the multiferroic behavior of doped KNO bulk and NPs. The behavior of the band-gap energy E g also depends on the dopants. E g decreases with increasing Co, Mn, and Cr ion doping, whereas it increases with Zn doping. The results are compared with existing experimental data, showing good qualitative agreement. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Phonon and optical properties of transition metal and rare earth ion doped BaTiO3.

Author

Apostolova, I. N., Apostolov, A. T., and Wesselinowa, J. M.

Subjects
*RARE earth ions, *RARE earth metals, *PHONONS, *OPTICAL properties, *TRANSITION metals, *PHASE transitions, *SAMARIUM
Abstract

We have calculated the phonon energy and damping of ω 0 = 264 cm − 1 in Fe, Mn, and Dy doped BaTiO 3 using a microscopic model. By doping with Fe ions, the phonon energy ω and damping γ show anomalies at the two phase transition temperatures. ω increases whereas γ decreases with the increase in the magnetic field and the kink at T C f m vanishes. ω and T C f e decrease or increase with the increase in Mn or Fe dopants, respectively. T C f e and ω of ω 0 = 718 cm − 1 decrease with the increase in Dy ion doping on the Ba site. γ is enhanced for all three ions. The changes in the phonon properties by ion doping are due to the different strain caused by the different ionic radii of the host and doping ions. The effects of Fe, Mn, and Sm doping on the bandgap energy are also discussed. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Phonon and optical properties of transition metal and rare earth ion doped BaTiO3.

Author

Apostolova, I. N., Apostolov, A. T., and Wesselinowa, J. M.

Subjects
RARE earth ions, RARE earth metals, PHONONS, OPTICAL properties, TRANSITION metals, PHASE transitions, SAMARIUM
Abstract

We have calculated the phonon energy and damping of ω 0 = 264 cm − 1 in Fe, Mn, and Dy doped BaTiO 3 using a microscopic model. By doping with Fe ions, the phonon energy ω and damping γ show anomalies at the two phase transition temperatures. ω increases whereas γ decreases with the increase in the magnetic field and the kink at T C f m vanishes. ω and T C f e decrease or increase with the increase in Mn or Fe dopants, respectively. T C f e and ω of ω 0 = 718 cm − 1 decrease with the increase in Dy ion doping on the Ba site. γ is enhanced for all three ions. The changes in the phonon properties by ion doping are due to the different strain caused by the different ionic radii of the host and doping ions. The effects of Fe, Mn, and Sm doping on the bandgap energy are also discussed. [ABSTRACT FROM AUTHOR]

Published
2021
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9. Validation of the prognostic value of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients

Author

(0000-0001-8016-4643) Hofheinz, F., Klinger, B., Amthauer, H., Apostolova, I., Blüthgen, N., Cegla, P., Cholewinski, W., Kreißl, M., Zips, D., Hoff, J., Zschaeck, S., (0000-0001-8016-4643) Hofheinz, F., Klinger, B., Amthauer, H., Apostolova, I., Blüthgen, N., Cegla, P., Cholewinski, W., Kreißl, M., Zips, D., Hoff, J., and Zschaeck, S.

Abstract

Ziel/Aim The aim of the study was an independent evaluation of the prognostic value of a gene expression signature (EPPI) and the PET-derived tumor asphericity (ASP) in non-small cell lung cancer (NSCLC) patients. Methodik/Methods This was a retrospective evaluation of PET imaging and gene expression data from three public databases and two institutional datasets. Altogether 253 NSCLC patients were included, all treated with curative intent surgery. Clinical parameters, standard PET parameters and ASP were evaluated in all patients. Additional gene expression data was available for 120 patients. Univariate and multivariate Cox regression and Kaplan-Meier analysis were calculated for the primary endpoint progression-free survival (PFS) and additional endpoints. Ergebnisse/Results In the whole cohort a significant association with PFS was observed for ASP (p<0.001) and EPPI (p=0.012). On multivariate testing, EPPI remained significantly associated with PFS (p=0.018) in the subgroup of patients with additional gene expression data, while ASP was significantly associated with PFS in the whole cohort (p=0.012). In stage II patients, ASP was significantly associated with PFS (p=0.009) and a previously published cutoff value for ASP (19.5%) was successfully validated (p=0.008). In patients with additional gene expression data, EPPI showed a significant association with PFS, too (p=0.033). Exploratory combination of ASP and EPPI showed that the combinatory approach has potential to further improve patient stratification compared to the use of only one parameter. Schlussfolgerungen/Conclusions The combination of EPPI and ASP seems to be a very promising approach for improvement of risk stratification in a group of patients with urgent need for a more personalized treatment approach.

Published
2023

10. Combination of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients

Author

Zschaeck, S., Klinger, B., Hoff, J., Cegla, P., Apostolova, I., Kreissl, M., Cholewiński, W., Kukuk, E., Strobel, H., Amthauer, H., Blüthgen, N., Zips, D., (0000-0001-8016-4643) Hofheinz, F., Zschaeck, S., Klinger, B., Hoff, J., Cegla, P., Apostolova, I., Kreissl, M., Cholewiński, W., Kukuk, E., Strobel, H., Amthauer, H., Blüthgen, N., Zips, D., and (0000-0001-8016-4643) Hofheinz, F.

Abstract

The aim of this retrospective multicenter study was an independent validation of a gene expression signature ECM-related prognostic and predictive indicator (EPPI) and the novel positron emission tomography (PET) parameter tumor asphericity (ASP) in non-small cell lung cancer (NSCLC) patients. The whole cohort comprised 253 NSCLC patients, all treated with surgery. Clinical and PET parameters were available for all patients, additional gene expression data for 120 patients. Univariate and multivariate Cox regression and Kaplan-Meier analyses were calculated for progression-free survival (PFS). A significant association with PFS was observed for ASP (p < 0.001) and EPPI (p = 0.012). Upon multivariate testing, ASP was significantly associated with PFS (p = 0.012), and EPPI (p = 0.018) in patients with additional gene data. In stage II patients, ASP was significantly associated with PFS (p = 0.009) and a previously published cutoff value for ASP (19.5%) was successfully validated (p = 0.008). EPPI showed a significant association with PFS in stage II patients, too (p = 0.033). Exploratory combination of ASP and EPPI showed potentially improved stratification. We report the first successful validation of EPPI and ASP in stage II NSCLC patients, combination of both parameters seems encouraging.

Published
2023

13. Validation of the prognostic value of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients

Author

Hofheinz, F., additional, Klinger, B., additional, Amthauer, H., additional, Apostolova, I., additional, Blüthgen, N., additional, Cegla, P., additional, Cholewinski, W., additional, Kreißl, M., additional, Zips, D., additional, van den Hoff, J., additional, and Zschaeck, S., additional

Published
2023
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17. Differences between the multiferroic properties of hexagonal and orthorhombic ion-doped YFeO3 nanoparticles.

Author

Apostolov, A. T., Apostolova, I. N., and Wesselinowa, J. M.

Subjects
*PHASE transitions, *PERMITTIVITY, *NANOPARTICLES, *MAGNETIC fields, *MAGNETIZATION
Abstract

The multiferroic properties of ion-doped hexagonal and orthorhombic YFeO3 (YFO) nanoparticles (NPs) are studied theoretically. The magnetization M s in h-YFO NPs increases, whereas for o-YFO NPs it decreases with decreasing NP size. In the dielectric constant (DC) both h- and o-YFO have a peak around T C 1 ∼ 4 5 0 and 460 K, respectively, but only in h-YFO an anomaly appears at T C 2 ∼ 3 0 0 K in the DC and the polarization which could be connected with a possible P 6 3 m c – P 6 3 c m phase transition. The polarization in pure and Bi-doped o-YFO NPs increases with increasing magnetic field. M s (x) is studied by doping of a o-YFO NP with Ti 4 + ions at the octahedral Fe 3 + sites. M s (T) in undoped YFO shows a small kink at T C 1 ∼ 4 5 0 K, whereas in the doped YFO it shows at ∼ 480 K. By different ion doping on the Y or Fe sites in YFO there is a transformation from the h- to the o-phase or vice versa. In Mn-doped o-YFO a spin-reorientation transition appears. The bandgap of h-YFO is smaller compared to that of o-YFO. [ABSTRACT FROM AUTHOR]

Published
2023
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18. Distribution maps of vegetation alliances in Europe

Author

Preislerová, Z., Jiménez‐Alfaro, B., Mucina, L., Berg, C., Bonari, G., Kuzemko, A., Landucci, F., Marcenò, C., Monteiro‐Henriques, T., Novák, P., Vynokurov, D., Bergmeier, E., Dengler, J., Apostolova, I., Bioret, F., Biurrun, I., Campos, J.A., Capelo, J., Čarni, A., Çoban, S., Csiky, J., Ćuk, M., Ćušterevska, R., Daniëls, F.J.A., De Sanctis, M., Didukh, Y., Dítě, D., Fanelli, G., Golovanov, Y., Golub, V., Guarino, R., Hájek, M., Iakushenko, D., Indreica, A., Jansen, F., Jašková, A., Jiroušek, M., Kalníková, V., Kavgacı, A., Kucherov, I., Küzmič, F., Lebedeva, M., Loidi, J., Lososová, Z., Lysenko, T., Milanović, Đ., Onyshchenko, V., Perrin, G., Peterka, T., Rašomavičius, V., Rodríguez‐Rojo, M.P., Rodwell, J.S., Rūsiņa, S., Sánchez‐Mata, D., Schaminée, J.H.J., Semenishchenkov, Y., Shevchenko, N., Šibík, J., Škvorc, Ž., Smagin, V., Stešević, D., Stupar, V., Šumberová, K., Theurillat, J‐P, Tikhonova, E., Tzonev, R., Valachovič, M., Vassilev, K., Willner, W., Yamalov, S., Večeřa, M., Chytrý, M., Preislerová, Z., Jiménez‐Alfaro, B., Mucina, L., Berg, C., Bonari, G., Kuzemko, A., Landucci, F., Marcenò, C., Monteiro‐Henriques, T., Novák, P., Vynokurov, D., Bergmeier, E., Dengler, J., Apostolova, I., Bioret, F., Biurrun, I., Campos, J.A., Capelo, J., Čarni, A., Çoban, S., Csiky, J., Ćuk, M., Ćušterevska, R., Daniëls, F.J.A., De Sanctis, M., Didukh, Y., Dítě, D., Fanelli, G., Golovanov, Y., Golub, V., Guarino, R., Hájek, M., Iakushenko, D., Indreica, A., Jansen, F., Jašková, A., Jiroušek, M., Kalníková, V., Kavgacı, A., Kucherov, I., Küzmič, F., Lebedeva, M., Loidi, J., Lososová, Z., Lysenko, T., Milanović, Đ., Onyshchenko, V., Perrin, G., Peterka, T., Rašomavičius, V., Rodríguez‐Rojo, M.P., Rodwell, J.S., Rūsiņa, S., Sánchez‐Mata, D., Schaminée, J.H.J., Semenishchenkov, Y., Shevchenko, N., Šibík, J., Škvorc, Ž., Smagin, V., Stešević, D., Stupar, V., Šumberová, K., Theurillat, J‐P, Tikhonova, E., Tzonev, R., Valachovič, M., Vassilev, K., Willner, W., Yamalov, S., Večeřa, M., and Chytrý, M.

Abstract

Aim The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3–264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge of an international team of vegetation scientists and matched all the previously reported alliance names and concepts with those of the EuroVegChecklist. We then mapped the occurrence of the EuroVegChecklist alliances in 82 territorial units corresponding to countries, large islands, archipelagos and peninsulas. We subdivided the mainland parts of large or biogeographically heterogeneous countries based on the European biogeographical regions. Specialized alliances of coastal habitats were mapped only for the coastal section of each territorial unit. Results Distribution maps were prepared for 1,105 alliances of vascular-plant dominated vegetation reported in the EuroVegChecklist. For each territorial unit, three levels of occurrence probability were plotted on the maps: (a) verified occurrence; (b) uncertain occurrence; and (c) absence. The maps of individual alliances were complemented by summary maps of the number of alliances and the alliance–area relationship. Distribution data are also provided in a spreadsheet. Conclusions The new map series represents the first attempt to characterize the distribution of all vegetation types at the alliance level across Europe. There are still many knowledge gaps, partly due to a lack of data for some regions and partly due to uncertainti

Published
2022

25. Magnetization, Band Gap and Specific Heat of Pure and Ion Doped MnFe 2 O 4 Nanoparticles.

Author

Apostolova, I. N., Apostolov, A. T., and Wesselinowa, J. M.

Subjects
BAND gaps, MAGNETIZATION, SPECIFIC heat, CURIE temperature, HEISENBERG model, STATISTICAL correlation, GREEN'S functions
Abstract

We have studied the magnetic properties of ion doped MnFe 2 O 4 nanoparticles with the help of a modified Heisenberg model and Green's function theory taking into account all correlation functions. The magnetization M s and the Curie temperature T C increase with decreasing particle size. This is the opposite behavior than that observed in CoFe 2 O 4 and CoCr 2 O 4 nanoparticles. By Co, Mg or Ni doping, M s and T C increase with enhancing the dopant concentration, whereas, by La or Gd doping, the opposite effect is obtained due to the different doping and host ionic radii which change the exchange interaction constants. The band gap energy E g is calculated from the s–d model. It can decrease or increase by different ion doping. The peak observed in the temperature dependence of the specific heat at T C is field dependent. [ABSTRACT FROM AUTHOR]

Published
2023
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30. 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

31. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, I., Pielech, R., Dembicz, I., Gillet, F., Kozub, Ł., Marcenò, C., Reitalu, T., Van Meerbeek, K., Guarino, R., Chytrý, M., Pakeman, R.J., Preislerová, Z., Axmanová, I., Burrascano, S., Bartha, S., Boch, S., Bruun, H.H., Conradi, T., De Frenne, P., Essl, F., Filibeck, G., Hájek, M., Jiménez-Alfaro, B., Kuzemko, A., Molnár, Z., Pärtel, M., Pätsch, R., Prentice, H.C., Roleček, J., Sutcliffe, L.M.E., Terzi, M., Winkler, M., Wu, J., Aćić, S., Acosta, A.T.R., Afif, E., Akasaka, M., Alatalo, J.M., Aleffi, M., Aleksanyan, A., Ali, A., Apostolova, I., Ashouri, P., Bátori, Z., Baumann, E., Becker, T., Belonovskaya, E., Benito Alonso, J.L., Berastegi, A., Bergamini, A., Bhatta, K.P., Bonini, I., Büchler, M.-O., Budzhak, V., Bueno, Á., Buldrini, F., Campos, J.A., Cancellieri, L., Carboni, M., Ceulemans, T., Chiarucci, A., Chocarro, C., Conti, L., Csergő, A.M., Cykowska-Marzencka, B., Czarniecka-Wiera, M., Czarnocka-Cieciura, M., Czortek, P., Danihelka, J., de Bello, F., Deák, B., Demeter, L., Deng, L., Diekmann, M., Dolezal, J., Dolnik, C., Dřevojan, P., Dupré, C., Ecker, K., Ejtehadi, H., Erschbamer, B., Etayo, J., Etzold, J., Farkas, T., Farzam, M., Fayvush, G., Fernández Calzado, M.R., Finckh, M., Fjellstad, W., Fotiadis, G., García-Magro, D., García-Mijangos, I., Gavilán, R.G., Germany, M., Ghafari, S., Giusso del Galdo, G.P., Grytnes, J.-A., Güler, B., Gutiérrez-Girón, A., Helm, A., Herrera, M., Hüllbusch, E.M., Ingerpuu, N., Jägerbrand, A.K., Jandt, U., Janišová, M., Jeanneret, P., Jeltsch, F., Jensen, K., Jentsch, A., Kącki, Z., Kakinuma, K., Kapfer, J., Kargar, M., Kelemen, A., Kiehl, K., Kirschner, P., Koyama, A., Langer, N., Lazzaro, L., Lepš, J., Li, C.-F., Li, F.Y., Liendo, D., Lindborg, R., Löbel, S., Lomba, A., Lososová, Z., Lustyk, P., Luzuriaga, A.L., Ma, W., Maccherini, S., Magnes, M., Malicki, M., Manthey, M., Mardari, C., May, F., Mayrhofer, H., Meier, E.S., Memariani, F., Merunková, K., Michelsen, O., Molero Mesa, J., Moradi, H., Moysiyenko, I., Mugnai, M., Naqinezhad, A., Natcheva, R., Ninot, J.M., Nobis, M., Noroozi, J., Nowak, A., Onipchenko, V., Palpurina, S., Pauli, H., Pedashenko, H., Pedersen, C., Peet, R.K., Pérez-Haase, A., Peters, J., Pipenbaher, N., Pirini, C., Pladevall-Izard, E., Plesková, Z., Potenza, G., Rahmanian, S., Rodríguez-Rojo, M.P., Ronkin, V., Rosati, L., Ruprecht, E., Rusina, S., Sabovljević, M., Sanaei, A., Sánchez, A.M., Santi, F., Savchenko, G., Sebastià, M.T., Shyriaieva, D., Silva, V., Škornik, S., Šmerdová, E., Sonkoly, J., Sperandii, M.G., Staniaszek-Kik, M., Stevens, C., Stifter, S., Suchrow, S., Swacha, G., Świerszcz, S., Talebi, A., Teleki, B., Tichý, L., Tölgyesi, C., Torca, M., Török, P., Tsarevskaya, N., Tsiripidis, I., Turisová, I., Ushimaru, A., Valkó, O., Van Mechelen, C., Vanneste, T., Vasheniak, I., Vassilev, K., Viciani, D., Villar, L., Virtanen, R., Vitasović-Kosić, I., Vojtkó, A., Vynokurov, D., Waldén, E., Wang, Y., Weiser, F., Wen, L., Wesche, K., White, H., Widmer, S., Wolfrum, S., Wróbel, A., Yuan, Z., Zelený, D., Zhao, L., Dengler, J., Biurrun, I., Pielech, R., Dembicz, I., Gillet, F., Kozub, Ł., Marcenò, C., Reitalu, T., Van Meerbeek, K., Guarino, R., Chytrý, M., Pakeman, R.J., Preislerová, Z., Axmanová, I., Burrascano, S., Bartha, S., Boch, S., Bruun, H.H., Conradi, T., De Frenne, P., Essl, F., Filibeck, G., Hájek, M., Jiménez-Alfaro, B., Kuzemko, A., Molnár, Z., Pärtel, M., Pätsch, R., Prentice, H.C., Roleček, J., Sutcliffe, L.M.E., Terzi, M., Winkler, M., Wu, J., Aćić, S., Acosta, A.T.R., Afif, E., Akasaka, M., Alatalo, J.M., Aleffi, M., Aleksanyan, A., Ali, A., Apostolova, I., Ashouri, P., Bátori, Z., Baumann, E., Becker, T., Belonovskaya, E., Benito Alonso, J.L., Berastegi, A., Bergamini, A., Bhatta, K.P., Bonini, I., Büchler, M.-O., Budzhak, V., Bueno, Á., Buldrini, F., Campos, J.A., Cancellieri, L., Carboni, M., Ceulemans, T., Chiarucci, A., Chocarro, C., Conti, L., Csergő, A.M., Cykowska-Marzencka, B., Czarniecka-Wiera, M., Czarnocka-Cieciura, M., Czortek, P., Danihelka, J., de Bello, F., Deák, B., Demeter, L., Deng, L., Diekmann, M., Dolezal, J., Dolnik, C., Dřevojan, P., Dupré, C., Ecker, K., Ejtehadi, H., Erschbamer, B., Etayo, J., Etzold, J., Farkas, T., Farzam, M., Fayvush, G., Fernández Calzado, M.R., Finckh, M., Fjellstad, W., Fotiadis, G., García-Magro, D., García-Mijangos, I., Gavilán, R.G., Germany, M., Ghafari, S., Giusso del Galdo, G.P., Grytnes, J.-A., Güler, B., Gutiérrez-Girón, A., Helm, A., Herrera, M., Hüllbusch, E.M., Ingerpuu, N., Jägerbrand, A.K., Jandt, U., Janišová, M., Jeanneret, P., Jeltsch, F., Jensen, K., Jentsch, A., Kącki, Z., Kakinuma, K., Kapfer, J., Kargar, M., Kelemen, A., Kiehl, K., Kirschner, P., Koyama, A., Langer, N., Lazzaro, L., Lepš, J., Li, C.-F., Li, F.Y., Liendo, D., Lindborg, R., Löbel, S., Lomba, A., Lososová, Z., Lustyk, P., Luzuriaga, A.L., Ma, W., Maccherini, S., Magnes, M., Malicki, M., Manthey, M., Mardari, C., May, F., Mayrhofer, H., Meier, E.S., Memariani, F., Merunková, K., Michelsen, O., Molero Mesa, J., Moradi, H., Moysiyenko, I., Mugnai, M., Naqinezhad, A., Natcheva, R., Ninot, J.M., Nobis, M., Noroozi, J., Nowak, A., Onipchenko, V., Palpurina, S., Pauli, H., Pedashenko, H., Pedersen, C., Peet, R.K., Pérez-Haase, A., Peters, J., Pipenbaher, N., Pirini, C., Pladevall-Izard, E., Plesková, Z., Potenza, G., Rahmanian, S., Rodríguez-Rojo, M.P., Ronkin, V., Rosati, L., Ruprecht, E., Rusina, S., Sabovljević, M., Sanaei, A., Sánchez, A.M., Santi, F., Savchenko, G., Sebastià, M.T., Shyriaieva, D., Silva, V., Škornik, S., Šmerdová, E., Sonkoly, J., Sperandii, M.G., Staniaszek-Kik, M., Stevens, C., Stifter, S., Suchrow, S., Swacha, G., Świerszcz, S., Talebi, A., Teleki, B., Tichý, L., Tölgyesi, C., Torca, M., Török, P., Tsarevskaya, N., Tsiripidis, I., Turisová, I., Ushimaru, A., Valkó, O., Van Mechelen, C., Vanneste, T., Vasheniak, I., Vassilev, K., Viciani, D., Villar, L., Virtanen, R., Vitasović-Kosić, I., Vojtkó, A., Vynokurov, D., Waldén, E., Wang, Y., Weiser, F., Wen, L., Wesche, K., White, H., Widmer, S., Wolfrum, S., Wróbel, A., Yuan, Z., Zelený, D., Zhao, L., and Dengler, J.

Abstract

Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m2 and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.

Published
2021

32. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, I. (Idoia), Pielech, R. (Remigiusz), Dembicz, I. (Iwona), Gillet, F. (Francois), Kozub, L. (Lukasz), Marceno, C. (Corrado), Reitalu, T. (Triin), Van Meerbeek, K. (Koenraad), Guarino, R. (Riccardo), Chytry, M. (Milan), Pakeman, R. J. (Robin J.), Preislerova, Z. (Zdenka), Axmanova, I. (Irena), Burrascano, S. (Sabina), Bartha, S. (Sandor), Boch, S. (Steffen), Bruun, H. H. (Hans Henrik), Conradi, T. (Timo), De Frenne, P. (Pieter), Essl, F. (Franz), Filibeck, G. (Goffredo), Hajek, M. (Michal), Jimenez-Alfaro, B. (Borja), Kuzemko, A. (Anna), Molnar, Z. (Zsolt), Partel, M. (Meelis), Patsch, R. (Ricarda), Prentice, H. C. (Honor C.), Rolecek, J. (Jan), Sutcliffe, L. M. (Laura M. E.), Terzi, M. (Massimo), Winkler, M. (Manuela), Wu, J. (Jianshuang), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Afif, E. (Elias), Akasaka, M. (Munemitsu), Alatalo, J. M. (Juha M.), Aleffi, M. (Michele), Aleksanyan, A. (Alla), Ali, A. (Arshad), Apostolova, I. (Iva), Ashouri, P. (Parvaneh), Batori, Z. (Zoltan), Baumann, E. (Esther), Becker, T. (Thomas), Belonovskaya, E. (Elena), Benito Alonso, J. L. (Jose Luis), Berastegi, A. (Asun), Bergamini, A. (Ariel), Bhatta, K. P. (Kuber Prasad), Bonini, I. (Ilaria), Buchler, M.-O. (Marc-Olivier), Budzhak, V. (Vasyl), Bueno, A. (Alvaro), Buldrini, F. (Fabrizio), Campos, J. A. (Juan Antonio), Cancellieri, L. (Laura), Carboni, M. (Marta), Ceulemans, T. (Tobias), Chiarucci, A. (Alessandro), Chocarro, C. (Cristina), Conti, L. (Luisa), Csergo, A. M. (Anna Maria), Cykowska-Marzencka, B. (Beata), Czarniecka-Wiera, M. (Marta), Czarnocka-Cieciura, M. (Marta), Czortek, P. (Patryk), Danihelka, J. (Jiri), Bello, F. (Francesco), Deak, B. (Balazs), Demeter, L. (Laszlo), Deng, L. (Lei), Diekmann, M. (Martin), Dolezal, J. (Jiri), Dolnik, C. (Christian), Drevojan, P. (Pavel), Dupre, C. (Cecilia), Ecker, K. (Klaus), Ejtehadi, H. (Hamid), Erschbamer, B. (Brigitta), Etayo, J. (Javier), Etzold, J. (Jonathan), Farkas, T. (Tunde), Farzam, M. (Mohammad), Fayvush, G. (George), Fernandez Calzado, M. R. (Maria Rosa), Finckh, M. (Manfred), Fjellstad, W. (Wendy), Fotiadis, G. (Georgios), Garcia-Magro, D. (Daniel), Garcia-Mijangos, I. (Itziar), Gavilan, R. G. (Rosario G.), Germany, M. (Markus), Ghafari, S. (Sahar), del Galdo, G. P. (Gian Pietro Giusso), Grytnes, J.-A. (John-Arvid), Guler, B. (Behlul), Gutierrez-Giron, A. (Alba), Helm, A. (Aveliina), Herrera, M. (Mercedes), Hullbusch, E. M. (Elisabeth M.), Ingerpuu, N. (Nele), Jaegerbrand, A. K. (Annika K.), Jandt, U. (Ute), Janisova, M. (Monika), Jeanneret, P. (Philippe), Jeltsch, F. (Florian), Jensen, K. (Kai), Jentsch, A. (Anke), Kacki, Z. (Zygmunt), Kakinuma, K. (Kaoru), Kapfer, J. (Jutta), Kargar, M. (Mansoureh), Kelemen, A. (Andras), Kiehl, K. (Kathrin), Kirschner, P. (Philipp), Koyama, A. (Asuka), Langer, N. (Nancy), Lazzaro, L. (Lorenzo), Leps, J. (Jan), Li, C.-F. (Ching-Feng), Li, F. Y. (Frank Yonghong), Liendo, D. (Diego), Lindborg, R. (Regina), Loebel, S. (Swantje), Lomba, A. (Angela), Lososova, Z. (Zdenka), Lustyk, P. (Pavel), Luzuriaga, A. L. (Arantzazu L.), Ma, W. (Wenhong), Maccherini, S. (Simona), Magnes, M. (Martin), Malicki, M. (Marek), Manthey, M. (Michael), Mardari, C. (Constantin), May, F. (Felix), Mayrhofer, H. (Helmut), Meier, E. S. (Eliane Seraina), Memariani, F. (Farshid), Merunkova, K. (Kristina), Michelsen, O. (Ottar), Molero Mesa, J. (Joaquin), Moradi, H. (Halime), Moysiyenko, I. (Ivan), Mugnai, M. (Michele), Naqinezhad, A. (Alireza), Natcheva, R. (Rayna), Ninot, J. M. (Josep M.), Nobis, M. (Marcin), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onipchenko, V. (Vladimir), Palpurina, S. (Salza), Pauli, H. (Harald), Pedashenko, H. (Hristo), Pedersen, C. (Christian), Peet, R. K. (Robert K.), Perez-Haase, A. (Aaron), Peters, J. (Jan), Pipenbaher, N. (Natasa), Pirini, C. (Chrisoula), Pladevall-Izard, E. (Eulalia), Pleskova, Z. (Zuzana), Potenza, G. (Giovanna), Rahmanian, S. (Soroor), Rodriguez-Rojo, M. P. (Maria Pilar), Ronkin, V. (Vladimir), Rosati, L. (Leonardo), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Sabovljevic, M. (Marko), Sanaei, A. (Anvar), Sanchez, A. M. (Ana M.), Santi, F. (Francesco), Savchenko, G. (Galina), Teresa Sebastia, M. (Maria), Shyriaieva, D. (Dariia), Silva, V. (Vasco), Skornik, S. (Sonja), Smerdova, E. (Eva), Sonkoly, J. (Judit), Sperandii, M. G. (Marta Gaia), Staniaszek-Kik, M. (Monika), Stevens, C. (Carly), Stifter, S. (Simon), Suchrow, S. (Sigrid), Swacha, G. (Grzegorz), Swierszcz, S. (Sebastian), Talebi, A. (Amir), Teleki, B. (Balazs), Tichy, L. (Lubomir), Tolgyesi, C. (Csaba), Torca, M. (Marta), Torok, P. (Peter), Tsarevskaya, N. (Nadezda), Tsiripidis, I. (Ioannis), Turisova, I. (Ingrid), Ushimaru, A. (Atushi), Valko, O. (Orsolya), Van Mechelen, C. (Carmen), Vanneste, T. (Thomas), Vasheniak, I. (Iuliia), Vassilev, K. (Kiril), Viciani, D. (Daniele), Villar, L. (Luis), Virtanen, R. (Risto), Vitasovic-Kosic, I. (Ivana), Vojtko, A. (Andras), Vynokurov, D. (Denys), Walden, E. (Emelie), Wang, Y. (Yun), Weiser, F. (Frank), Wen, L. (Lu), Wesche, K. (Karsten), White, H. (Hannah), Widmer, S. (Stefan), Wolfrum, S. (Sebastian), Wrobel, A. (Anna), Yuan, Z. (Zuoqiang), Zeleny, D. (David), Zhao, L. (Liqing), Dengler, J. (Jurgen), Biurrun, I. (Idoia), Pielech, R. (Remigiusz), Dembicz, I. (Iwona), Gillet, F. (Francois), Kozub, L. (Lukasz), Marceno, C. (Corrado), Reitalu, T. (Triin), Van Meerbeek, K. (Koenraad), Guarino, R. (Riccardo), Chytry, M. (Milan), Pakeman, R. J. (Robin J.), Preislerova, Z. (Zdenka), Axmanova, I. (Irena), Burrascano, S. (Sabina), Bartha, S. (Sandor), Boch, S. (Steffen), Bruun, H. H. (Hans Henrik), Conradi, T. (Timo), De Frenne, P. (Pieter), Essl, F. (Franz), Filibeck, G. (Goffredo), Hajek, M. (Michal), Jimenez-Alfaro, B. (Borja), Kuzemko, A. (Anna), Molnar, Z. (Zsolt), Partel, M. (Meelis), Patsch, R. (Ricarda), Prentice, H. C. (Honor C.), Rolecek, J. (Jan), Sutcliffe, L. M. (Laura M. E.), Terzi, M. (Massimo), Winkler, M. (Manuela), Wu, J. (Jianshuang), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Afif, E. (Elias), Akasaka, M. (Munemitsu), Alatalo, J. M. (Juha M.), Aleffi, M. (Michele), Aleksanyan, A. (Alla), Ali, A. (Arshad), Apostolova, I. (Iva), Ashouri, P. (Parvaneh), Batori, Z. (Zoltan), Baumann, E. (Esther), Becker, T. (Thomas), Belonovskaya, E. (Elena), Benito Alonso, J. L. (Jose Luis), Berastegi, A. (Asun), Bergamini, A. (Ariel), Bhatta, K. P. (Kuber Prasad), Bonini, I. (Ilaria), Buchler, M.-O. (Marc-Olivier), Budzhak, V. (Vasyl), Bueno, A. (Alvaro), Buldrini, F. (Fabrizio), Campos, J. A. (Juan Antonio), Cancellieri, L. (Laura), Carboni, M. (Marta), Ceulemans, T. (Tobias), Chiarucci, A. (Alessandro), Chocarro, C. (Cristina), Conti, L. (Luisa), Csergo, A. M. (Anna Maria), Cykowska-Marzencka, B. (Beata), Czarniecka-Wiera, M. (Marta), Czarnocka-Cieciura, M. (Marta), Czortek, P. (Patryk), Danihelka, J. (Jiri), Bello, F. (Francesco), Deak, B. (Balazs), Demeter, L. (Laszlo), Deng, L. (Lei), Diekmann, M. (Martin), Dolezal, J. (Jiri), Dolnik, C. (Christian), Drevojan, P. (Pavel), Dupre, C. (Cecilia), Ecker, K. (Klaus), Ejtehadi, H. (Hamid), Erschbamer, B. (Brigitta), Etayo, J. (Javier), Etzold, J. (Jonathan), Farkas, T. (Tunde), Farzam, M. (Mohammad), Fayvush, G. (George), Fernandez Calzado, M. R. (Maria Rosa), Finckh, M. (Manfred), Fjellstad, W. (Wendy), Fotiadis, G. (Georgios), Garcia-Magro, D. (Daniel), Garcia-Mijangos, I. (Itziar), Gavilan, R. G. (Rosario G.), Germany, M. (Markus), Ghafari, S. (Sahar), del Galdo, G. P. (Gian Pietro Giusso), Grytnes, J.-A. (John-Arvid), Guler, B. (Behlul), Gutierrez-Giron, A. (Alba), Helm, A. (Aveliina), Herrera, M. (Mercedes), Hullbusch, E. M. (Elisabeth M.), Ingerpuu, N. (Nele), Jaegerbrand, A. K. (Annika K.), Jandt, U. (Ute), Janisova, M. (Monika), Jeanneret, P. (Philippe), Jeltsch, F. (Florian), Jensen, K. (Kai), Jentsch, A. (Anke), Kacki, Z. (Zygmunt), Kakinuma, K. (Kaoru), Kapfer, J. (Jutta), Kargar, M. (Mansoureh), Kelemen, A. (Andras), Kiehl, K. (Kathrin), Kirschner, P. (Philipp), Koyama, A. (Asuka), Langer, N. (Nancy), Lazzaro, L. (Lorenzo), Leps, J. (Jan), Li, C.-F. (Ching-Feng), Li, F. Y. (Frank Yonghong), Liendo, D. (Diego), Lindborg, R. (Regina), Loebel, S. (Swantje), Lomba, A. (Angela), Lososova, Z. (Zdenka), Lustyk, P. (Pavel), Luzuriaga, A. L. (Arantzazu L.), Ma, W. (Wenhong), Maccherini, S. (Simona), Magnes, M. (Martin), Malicki, M. (Marek), Manthey, M. (Michael), Mardari, C. (Constantin), May, F. (Felix), Mayrhofer, H. (Helmut), Meier, E. S. (Eliane Seraina), Memariani, F. (Farshid), Merunkova, K. (Kristina), Michelsen, O. (Ottar), Molero Mesa, J. (Joaquin), Moradi, H. (Halime), Moysiyenko, I. (Ivan), Mugnai, M. (Michele), Naqinezhad, A. (Alireza), Natcheva, R. (Rayna), Ninot, J. M. (Josep M.), Nobis, M. (Marcin), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onipchenko, V. (Vladimir), Palpurina, S. (Salza), Pauli, H. (Harald), Pedashenko, H. (Hristo), Pedersen, C. (Christian), Peet, R. K. (Robert K.), Perez-Haase, A. (Aaron), Peters, J. (Jan), Pipenbaher, N. (Natasa), Pirini, C. (Chrisoula), Pladevall-Izard, E. (Eulalia), Pleskova, Z. (Zuzana), Potenza, G. (Giovanna), Rahmanian, S. (Soroor), Rodriguez-Rojo, M. P. (Maria Pilar), Ronkin, V. (Vladimir), Rosati, L. (Leonardo), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Sabovljevic, M. (Marko), Sanaei, A. (Anvar), Sanchez, A. M. (Ana M.), Santi, F. (Francesco), Savchenko, G. (Galina), Teresa Sebastia, M. (Maria), Shyriaieva, D. (Dariia), Silva, V. (Vasco), Skornik, S. (Sonja), Smerdova, E. (Eva), Sonkoly, J. (Judit), Sperandii, M. G. (Marta Gaia), Staniaszek-Kik, M. (Monika), Stevens, C. (Carly), Stifter, S. (Simon), Suchrow, S. (Sigrid), Swacha, G. (Grzegorz), Swierszcz, S. (Sebastian), Talebi, A. (Amir), Teleki, B. (Balazs), Tichy, L. (Lubomir), Tolgyesi, C. (Csaba), Torca, M. (Marta), Torok, P. (Peter), Tsarevskaya, N. (Nadezda), Tsiripidis, I. (Ioannis), Turisova, I. (Ingrid), Ushimaru, A. (Atushi), Valko, O. (Orsolya), Van Mechelen, C. (Carmen), Vanneste, T. (Thomas), Vasheniak, I. (Iuliia), Vassilev, K. (Kiril), Viciani, D. (Daniele), Villar, L. (Luis), Virtanen, R. (Risto), Vitasovic-Kosic, I. (Ivana), Vojtko, A. (Andras), Vynokurov, D. (Denys), Walden, E. (Emelie), Wang, Y. (Yun), Weiser, F. (Frank), Wen, L. (Lu), Wesche, K. (Karsten), White, H. (Hannah), Widmer, S. (Stefan), Wolfrum, S. (Sebastian), Wrobel, A. (Anna), Yuan, Z. (Zuoqiang), Zeleny, D. (David), Zhao, L. (Liqing), and Dengler, J. (Jurgen)

Abstract

Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m² and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.

Published
2021

33. 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

46. Eingeschränkter diagnostischer und therapeutischer Zusatznutzen der Bildgebung der unteren Extremität bei der Ganzkörper-68Ga-PSMA PET/CT

Author

Stolzenbach, F, Maurer, T, Budäus, L, Steuber, T, Graefen, M, Sauer, M, Kobayashi, Y, Apostolova, I, and Berliner, C

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Einleitung: Die PSMA-PET/CT wird zunehmend in der Diagnostik bei Prostatakrebspatienten in verschiedenen Erkrankungsstadien eingesetzt. In der vorliegenden Arbeit untersuchten wir den diagnostischen und therapeutischen Zusatznutzen der Bildgebung der unteren Extremität im Rahmen der Ganzkörper-68Ga-PSMA[zum vollständigen Text gelangen Sie über die oben angegebene URL], 45. Gemeinsame Tagung der Österreichischen Gesellschaft für Urologie und Andrologie und der Bayerischen Urologenvereinigung

Published
2019
Full Text
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47. Multiferroic and phonon properties near the phase transitions of pure and ion-doped Ca3Mn2O7.

Author

Apostolov, A. T., Apostolova, I. N., and Wesselinowa, J. M.

Subjects
*PHONONS, *PHASE transitions, *GREEN'S functions, *DIELECTRIC function, *CURIE temperature
Abstract

The magnetic, dielectric and phonon properties of Ca 3 Mn 2 O 7 are investigated using a microscopic model and the Green's function technique. Electrically induced decrease of the magnetization M is observed which is an indirect evidence that Ca 3 Mn 2 O 7 is a multiferroic material. The dielectric function ϵ ′ has an anomaly at the N e ´ el temperature T N and a broad peak at the Curie temperature T C . ϵ ′ increases with increasing magnetic field. M and T N are enhanced by Li ion doping, whereas reduced by Ti ion doping due to different strain caused by the doped ions which changes the exchange interaction constants. T C increases with increasing Ti concentration. The temperature and magnetic field dependence of the phonon energy and damping for the A 1 mode ω 0 = 624 cm − 1 are studied. Both show a kink at T N due to the strong spin–phonon interaction. The kink disappears applying a magnetic field. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
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48. Multiferroic and phonon properties near the phase transitions of pure and ion-doped Ca3Mn2O7.

Author

Apostolov, A. T., Apostolova, I. N., and Wesselinowa, J. M.

Subjects
PHONONS, PHASE transitions, GREEN'S functions, PERMITTIVITY, CURIE temperature
Abstract

The magnetic, dielectric and phonon properties of Ca 3 Mn 2 O 7 are investigated using a microscopic model and the Green's function technique. Electrically induced decrease of the magnetization M is observed which is an indirect evidence that Ca 3 Mn 2 O 7 is a multiferroic material. The dielectric function ϵ ′ has an anomaly at the N e ´ el temperature T N and a broad peak at the Curie temperature T C . ϵ ′ increases with increasing magnetic field. M and T N are enhanced by Li ion doping, whereas reduced by Ti ion doping due to different strain caused by the doped ions which changes the exchange interaction constants. T C increases with increasing Ti concentration. The temperature and magnetic field dependence of the phonon energy and damping for the A 1 mode ω 0 = 624 cm − 1 are studied. Both show a kink at T N due to the strong spin–phonon interaction. The kink disappears applying a magnetic field. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
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49. Interobserver variability of image–derived arterial blood SUV in FDG–PET

Author

Hofheinz, F., Maus, J., Zschaeck, S., Rogasch, J., Schramm, G., Oehme, L., Apostolova, I., Kotzerke, J., and Hoff, J.

Abstract

Ziel/Aim: The standardized uptake value (SUV) is essentially the only means for quantitative evaluation of static FDG PET. However, the SUV approach has well-known shortcomings which adversely affect the reliability of the SUV as a surrogate of the metabolic rate of glucose consumption. The standard uptake ratio (SUR), i.e. the uptake time corrected ratio of tumor SUV to image-derived arterial blood SUV, has been shown to overcome most of these shortcomings and to increase the prognostic value in comparison to SUV. However, it is unclear, to what extent the SUR approach is vulnerable to observer variability of the required blood SUV (BSUV) determination. The goal of the present work was the investigation of the interobserver variability of image-derived BSUV. Methodik/Methods: FDG PET/CT scans from 83 patients were included. BSUV was determined by 8 individuals, each applying a dedicated delineation tool for the BSUV determination in the aorta. Altogether 5 different delineation tools were used. With each used tool, delineation was performed for the whole patient group, resulting in 12 distinct observations per patient. Interobserver variability of BSUV determination was assessed using the fractional deviations of the individual observers from the observer-average for the considered patient. Ergebnisse/Results: Interobserver variability in the pooled data amounts to SD=2.8% and is much smaller than the intersubject variability of BSUV (SD=16%). Averaged over the whole patient group, deviations of individual observers from the observer average are very small and fall in the range [-0.96,1.05]%. However, interobserver variability partly differs distinctly for different patients (range: [0.7,7.4]%). Schlussfolgerungen/Conclusions: The present investigation proofs unambiguously that the image-based manual determination of BSUV in the aorta provides sufficient accuracy and reproducibility for the purposes of the SUR approach. This finding is in line with the already demonstrated superiority of SUR in comparison to SUV in first clinical studies.

Published
2019

50. Automatic classification of dopamine transporter SPECT: Deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

Author

Wenzel, M., Milletari, F., Krüger, J., Lange, C., Schenk, M., Apostolova, I., Klutmann, S., Ehrenburg, M., Buchert, R., and Publica

Abstract

Purpose This study investigated the potential of deep convolutional neural networks (CNN) for automatic classification of FP-CIT SPECT in multi-site or multi-camera settings with variable image characteristics. Methods The study included FP-CIT SPECT of 645 subjects from the Parkinson's Progression Marker Initiative (PPMI), 207 healthy controls, and 438 Parkinson's disease patients. SPECT images were smoothed with an isotropic 18-mm Gaussian kernel resulting in 3 different PPMI settings: (i) original (unsmoothed), (ii) smoothed, and (iii) mixed setting comprising all original and all smoothed images. A deep CNN with 2,872,642 parameters was trained, validated, and tested separately for each setting using 10 random splits with 60/20/20% allocation to training/validation/test sample. The putaminal specific binding ratio (SBR) was computed using a standard anatomical ROI predefined in MNI space (AAL atlas) or using the hottest voxels (HV) analysis. Both SBR measures were trained (ROC analysis, Youden criterion) using the same random splits as for the CNN. CNN and SBR trained in the mixed PPMI setting were also tested in an independent sample from clinical routine patient care (149 with non-neurodegenerative and 149 with neurodegenerative parkinsonian syndrome). Results Both SBR measures performed worse in the mixed PPMI setting compared to the pure PPMI settings (e.g., AAL-SBR accuracy = 0.900 ± 0.029 in the mixed setting versus 0.957 ± 0.017 and 0.952 ± 0.015 in original and smoothed setting, both p

Published
2019

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