76 results on '"Farzam, M."'
Search Results
2. Investigating the effect of using salty water on the accumulation of elements in the aerial organs and the quality of fodder in several Salicornia species.
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Bozorgmehr, A., Asgari, H. R., Farzam, M., and Ranjbar, G. H.
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WATER use ,SOIL salinity ,STREAM salinity ,ANIMAL feeds ,BRACKISH waters ,FODDER crops ,WATER springs ,WATER disinfection - Abstract
Introduction: Salinity of water and soil resources is one of the most basic agricultural problems, especially in arid and semi-arid regions. Identifying and domesticating salinity-resistant plant (halophytes) species with economic value is an important strategy for these regions. Materials and methods: This research aimed to investigate the amount of elements and the quality of fodder in several Salicornia species under the influence of water salinity in a factorial experiment with a completely randomized design in pot culture conditions in Bojnourd (North Khorasan province) in 2018. Irrigation treatment was applied at two levels (brackish water and normal water), and Salicornia species treatment included four species (Salicornia persica, S. sinus persica, S. europaea, and S. bigelovii) and Salicornia var Markazi. The source of salty water was the Kal-Shoor river in Esfrain and the source of normal water was the well located in Research and Education of Agriculture and Natural Resurces Center in Bojnourd. Due to the high salinity of Kal-Shoor river, normal water was used to adjust the salinity to the treatment limit of 45 dSm-1. To produce seedlings, Salicornia seeds were planted in plastic combs for seedling production in April 2018. After 60 days, seedlings (10-15 cm) were transferred to pots. The irrigation circuit varied in different growth stages according to weather conditions, and irrigation was done by the weight method with the 80% moisture index of the pots. Results and discussion: The results showed that the amount of nitrogen, phosphorus, potassium, magnesium, sodium and chlorine increased with the increase in irrigation water salinity in all species. The highest accumulations of sodium (11%) and chlorine (23.5%) were observed in S. sinus persica and the lowest amount of sodium (8.6%) and chlorine (21%) were observed in S. persica. Among the Salicornia species, the lowest amount of elements is related to potassium and phosphorus ions, which is mostly due to the limitation of the absorption of these elements under the influence of sodium ions, and as mentioned in the sources, the process of absorption of these elements increases gradually with the growth stages. Maintaining a more negative potential of the membrane is an important factor for salinity tolerance, considering that in saline soils, chlorine and sodium are the most common solutes, the absorption of sodium and chlorine ions is important for regulating osmotic pressure and cytoplasmic concentration. In this experiment, in both irrigation treatments, the most elements in all species were related to chlorine and sodium ions. Based on the measurement of quality variables of fodder, the percentages of protein, crude fat, and ash in salty water treatment were higher than those in normal water. The highest percentage of crude fat (1.32%) in S. var. Markazi was affected by saltwater treatment, which was significantly different from the other species. The highest percentages of protein in S. bigelovii and S. europaea under the influence of saltwater treatment were 6.06% and 6.31%, respectively, which were significantly different from the other species. The highest amounts of ash belonged to S. europaea (63%) and S. bigelovii (62%) in saltwater treatment, and S. sinus persica contained the least ash (49%) in normal water treatment. Although the increase in protein increases the quality of fodder, the increase in the amount of ash and crude fat causes limitations in animal nutrition and digestibility. Therefore, the increase of water salinity has a negative effect on the quality of fodder. Conclusion: Brackish water treatment increased the amount of ash in all species to different proportions, which is a limiting factor for the pure consumption of salicornia in animal feed. Therefore, the relative reduction of water salinity and the selection of suitable species are effective in increasing the quality of fodder.On the other hand, the great ability of Salicornia species to absorb and store salts in their aerial parts provides the basis for the exploitation of their vegetative organs for the production of vegetable salt. Moreover, it is economically important along with other applications of Salicornia (production of fodder, oil, medicines, and protection). [ABSTRACT FROM AUTHOR]
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- 2024
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3. Robust optimum design of a tuned mass damper inerter
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Kaveh, A., Fahimi Farzam, M., Hojat Jalali, H., and Maroofiazar, R.
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- 2020
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4. The influence of pH, rotating speed and Cu content reinforcement nano-particles on wear/corrosion response of Ni-P-Cu nano-composite coatings
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Anijdan, S.H. Mousavi, Sabzi, M., Zadeh, M. Roghani, and Farzam, M.
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- 2018
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5. STATISTICAL SEISMIC PERFORMANCE ASSESSMENT OF VISCOUS DAMPER IN BENCHMARK BUILDINGS UNDER FAR-FAULT AND NEAR-FAULT EARTHQUAKES
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Farzam, M. Fahimi, primary and Kalajahi, T. Dehghan, additional
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- 2023
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6. A Review on Sustainable Manufacturing of Ceramic-Based Thin Films by Chemical Vapor Deposition (CVD): Reactions Kinetics and the Deposition Mechanisms
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Sabzi, M., primary, Mousavi Anijdan, S. H., additional, Shamsodin, M., additional, Farzam, M., additional, Hojjati-Najafabadi, A., additional, Feng, P., additional, Park, N., additional, and Lee, U., additional
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- 2023
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7. Effects of irrigation levels and soil properties modifiers on vegetative properties of (Lycium depressum stocks) in pot reproduction.
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Mohammadi, S., Sepehry, A., Farzam, M., and Barani, H.
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EFFECT of soil conditioners on plants ,IRRIGATION ,SOIL amendments ,EFFECT of drought on plants ,MEDICINAL plants - Abstract
Introduction The present research on Lycium depressum stocks aims to study the vegetative responses (leaf area, leaf specific weight, leaf specific area, dry weight ratio of root to shoot, dry weight of leaf, stem, and root) of the pasture shrub of Kam Tigh against drought stress and the effect of soil amendment on these responses. Materials and methods The experiment was conducted in a factorial design based on a completely randomized design, including the main irrigation treatment at four levels (100, 75, 50, and 25% of crop capacity) and subtreatment of soil conditioners under semi-controlled greenhouse conditions. The experiment involved five repetitions and 160 pots for each combined irrigation and soil amendment treatment. Subtreatments of soil conditioners, including Stacosorb hydrogel, were added at 3 grams per kilogram of soil in each pot in the lower part of the plant roots. Mineral Zeolite in 8 grams per pot was placed in the lower part of the plant roots. Nitrobacter was added in the amount of 3 cc in each pot in the upper root area of the plant. Mycorrhiza at 10 grams per pot was added to the lower plant roots. Results and discussion Generally, a significant difference (p<0.05) was observed in all irrigation levels between the treatments in each soil amendment material. In zeolite with mycorrhiza, the highest stem dry weight and leaf-specific weight were obtained at a 50% irrigation level. With the increase in leaf-specific gravity and drought stress, plant dry weight increased, and proline content decreased in Nitrobacter and mycorrhizal treatment, which differed from the treatment. Measurements of leaf area revealed that leaf area decreased from 1450 mm2 in 100% and 75% irrigation to 900 mm2 in 25% irrigation. This indicated the impact of drought stress on the leaf area. The highest specific weight of leaves at 25% irrigation was related to Nitrobacter with mycorrhiza. This modifier increased the specific weight of leaves from 0.0025 g/m2 at 100% irrigation level to 0.0028 g/m2 at 25% irrigation level. Leaf surface area in Nitrobacter treatment with mycorrhiza during 100% irrigation decreased from 400 mm2/g to 350 mm2/g during 25% irrigation. In hydrogel treatment without mycorrhiza, the dry weight ratio of root to shoot at 100% irrigation level declined from 2 grams to 1.4 grams in 25% irrigation. The dry weight of the leaf decreased from 1.4 g in 100% irrigation to 1.3 g in 25% irrigation. Conclusions Biofertilizers enhance plant resistance to drought stress by improving vegetative characteristics. Nitrobacter treatments without mycorrhiza, hydrogel, and zeolite with mycorrhiza are recommended for planting this plant due to improved growing conditions. Since the Kam Tig plant is considered a medicinal plant, it can be used as a soil conditioner in the pharmaceutical and medical industries. This will enable better cultivation of the species. All organizations related to the cultivation of Kam Tig species can use the results of this research to enhance cultivation projects. [ABSTRACT FROM AUTHOR]
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- 2023
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8. Wear and corrosion resistance and electroplating characteristics of electrodeposited Cr–SiC nano-composite coatings
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JUNEGHANI, M. Arab, FARZAM, M., and ZOHDIRAD, H.
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- 2013
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9. A study on the anticorrosion performance of the epoxy–polyamide nanocomposites containing ZnO nanoparticles
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Ramezanzadeh, B., Attar, M.M., and Farzam, M.
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- 2011
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10. Corrosion performance of a hot-dip galvanized steel treated by different kinds of conversion coatings
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Ramezanzadeh, B., Attar, M.M., and Farzam, M.
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- 2010
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11. Ni–TiO 2 nanocomposite coating with high resistance to corrosion and wear
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Baghery, P., Farzam, M., Mousavi, A.B., and Hosseini, M.
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- 2010
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12. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
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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.
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- 2021
13. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
- Author
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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
14. Effect of ZnO nanoparticles on the thermal and mechanical properties of epoxy-based nanocomposite
- Author
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Ramezanzadeh, B., Attar, M. M., and Farzam, M.
- Published
- 2011
- Full Text
- View/download PDF
15. IMPROVEMENT OF MICROSTRUCTURE AND BARRIER PROPERTIES OF SILICATE COATINGS ON LOW CARBON STEEL BY INCORPORATING COLLOIDAL NANO-SiO2.
- Author
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MAJDI, M. R., DANAEE, I., ZAAREI, D., and FARZAM, M.
- Subjects
MILD steel ,CARBON steel ,SILICATES ,SURFACE coatings ,CORROSION resistance ,SURFACE morphology - Abstract
Silicate coatings have been considered as an alternative to toxic and carcinogenic other chemical treatments. In this paper, a strengthened silicate coating was formed on the surface of low carbon steel by dip immersion method. The modification and strengthening was done by loading colloidal nano-SiO
2 into the film. The characterizations of nano-SiO2 were investigated by FESEM, TEM and FT-IR. The effects of nano contents (weight ratio) and drying temperatures on corrosion properties of silicate film were studied. Potentiodynamic polarization, electrochemical impedance spectroscopy and immersion tests have been used to study corrosion behavior of nano-loaded silicate films. Surface morphology, microstructure and its chemical composition were analyzed by means of FESEM, EDS, AFM, XRD, GIXRD, ATR-FTIR and Raman techniques. Results indicated that colloidal nano-SiO2 properly modified the silicate coatings and significantly improved the corrosion resistance and barrier property. Also drying temperature showed a considerable effect in silicate coating and higher corrosion resistance was obtained with 150°C curing. [ABSTRACT FROM AUTHOR]- Published
- 2020
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16. Approximate solution for Heat equation via the Pade approximation
- Author
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Kermani, M. Afshar, primary and Farzam, M., additional
- Published
- 2017
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- View/download PDF
17. Optimum design of steel frame structures considering construction cost and seismic damage
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Kaveh, A., primary, Fahimi-Farzam, M., additional, and Kalateh-Ahani, M., additional
- Published
- 2015
- Full Text
- View/download PDF
18. Damage-based optimization of large-scale steel structures
- Author
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Kaveh, A., primary, Kalateh-Ahani, M., additional, and Fahimi-Farzam, M., additional
- Published
- 2014
- Full Text
- View/download PDF
19. Life-cycle cost optimization of steel moment-frame structures: performance-based seismic design approach
- Author
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Kaveh, A., primary, Kalateh-Ahani, M., additional, and Fahimi-Farzam, M., additional
- Published
- 2014
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- View/download PDF
20. Constructability optimal design of reinforced concrete retaining walls using a multi-objective genetic algorithm
- Author
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Kaveh, A., primary, Kalateh-Ahani, M., additional, and Fahimi-Farzam, M., additional
- Published
- 2013
- Full Text
- View/download PDF
21. Time-history analysis based optimal design of space trusses: the CMA evolution strategy approach using GRNN and WA
- Author
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Kaveh, A., primary, Fahimi-Farzam, M., additional, and Kalateh-Ahani, M., additional
- Published
- 2012
- Full Text
- View/download PDF
22. Corrosion Study of Steel API 5A, 5L and AISI 1080, 1020 in Drill-Mud Environment of Iranian Hydrocarbon Fields
- Author
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Farzam, M., primary, Baghery, P., additional, and Mardan Dezfully, H. R., additional
- Published
- 2011
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- View/download PDF
23. Punching of RC slabs under eccentric loads
- Author
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Farzam, M., primary, Fouad, N. A., additional, Grünberg, J., additional, and Fard, M. Y., additional
- Published
- 2010
- Full Text
- View/download PDF
24. Effect of ZnO nanoparticles on the thermal and mechanical properties of epoxy-based nanocomposite
- Author
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Ramezanzadeh, B., primary, Attar, M. M., additional, and Farzam, M., additional
- Published
- 2010
- Full Text
- View/download PDF
25. Ni–TiO2 nanocomposite coating with high resistance to corrosion and wear
- Author
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Baghery, P., primary, Farzam, M., additional, Mousavi, A.B., additional, and Hosseini, M., additional
- Published
- 2010
- Full Text
- View/download PDF
26. Performance-based multi-objective optimal design of steel frame structures: Nonlinear dynamic procedure.
- Author
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Kaveh, A., Fahimi-Farzam, M., and Kalateh-Ahani, M.
- Subjects
OPTIMAL designs (Statistics) ,EXPERIMENTAL design ,STEEL framing ,GENETIC algorithms ,MATHEMATICAL optimization - Abstract
The main problem in performance-based structures is the extremely high computational demand of time-history analyses. In this paper, an efficient framework is developed for solving the performance-based multi-objective optimal design problem considering the initial cost and the seismic damage cost of steel moment-frame structures. The Non-dominated Sorting Genetic Algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. For improving the time efficiency of the solution algorithm, the Generalized Regression Neural Network (GRNN) is utilized as the meta-model for fitness approximation, and a specific evolution control scheme is developed. In this scheme, in order to determine which individuals should be evaluated using the original fitness function and which by the meta-model, the Fuzzy C-Mean (FCM) clustering algorithm is used to choose the competent individuals rather than choosing the individuals randomly. Moreover, the computational burden of time history analyses is decreased through a particular wavelet analysis procedure. The constraints of the optimization problem are considered in accordance with the FEMA codes. The results obtained from numerical application of the proposed framework demonstrate its capabilities in solving the present multi-objective optimization problem. [ABSTRACT FROM AUTHOR]
- Published
- 2015
27. The dynamic prediction of the DNB ratio in a heavy water reactor
- Author
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Farzam, M., primary and Moattar, F., additional
- Published
- 2005
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28. Information theoretic assessment of correlated noise in hyperspectral signal unmixing.
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Farzam, M. and Beheshti, S.
- Published
- 2011
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29. Robust hyperspectral signal unmixing in the presence of correlated noise.
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Farzam, M. and Beheshti, S.
- Published
- 2011
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30. Two stage quantization of noisy hyperspectral images.
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Hashemi, S.-M., Beheshti, S., and Farzam, M.
- Published
- 2010
- Full Text
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31. The Noiseless code-length concept in subspace estimation for low SNR hyperspectral signals.
- Author
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Farzam, M. and Beheshti, S.
- Published
- 2009
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32. A noiseless code length method (NCLM) to estimate dimensionality of hyperspectral data.
- Author
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Farzam, M. and Beheshti, S.
- Published
- 2009
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33. Calculation of abundance factors in hyperspectral imaging using genetic algorithm.
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Farzam, M., Beheshti, S., and Raahemifar, K.
- Published
- 2008
- Full Text
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34. A robust multimedia watermarking technique using Zernike transform.
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Farzam, M. and Shirani, S.
- Published
- 2001
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35. A robust multimedia watermarking technique using Zernike transform
- Author
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Farzam, M., primary and Shirani, S., additional
- Full Text
- View/download PDF
36. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
- Author
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Monika Janišová, Georgios Fotiadis, Honor C. Prentice, Farshid Memariani, Ivan I. Moysiyenko, Pavel Lustyk, Zdenka Preislerová, Hristo Pedashenko, Francesco Santi, Atushi Ushimaru, Steffen Boch, Galina Savchenko, Fabrizio Buldrini, Irena Axmanová, Milan Chytrý, Jiri Dolezal, Denys Vynokurov, Marta Czarniecka-Wiera, Zdeňka Lososová, Robert K. Peet, Simon Stifter, Ricarda Pätsch, Koenraad Van Meerbeek, Alba Gutiérrez-Girón, Simona Maccherini, András Kelemen, Thomas Becker, Michal Hájek, Christian Pedersen, Stefan Widmer, Remigiusz Pielech, Vladimir Ronkin, Kai Jensen, Anna Wróbel, Cristina Chocarro, Sebastian Świerszcz, Lei Deng, Arkadiusz Nowak, Luisa Conti, Eulàlia Pladevall-Izard, Swantje Löbel, Jonathan Etzold, Jan Peters, Hans Henrik Bruun, Elisabeth M. Hüllbusch, Anna Kuzemko, Martin Magnes, Rayna Natcheva, Riccardo Guarino, Joaquín Molero Mesa, Vasco Silva, Pavel Dřevojan, Iuliia Vasheniak, Jan Lepš, Péter Török, Timo Conradi, Marcin Nobis, Aaron Pérez-Haase, Yun Wang, María Rosa Fernández Calzado, Ilaria Bonini, Massimo Terzi, Meelis Pärtel, Liqing Zhao, Csaba Tölgyesi, Frank Weiser, Philipp Kirschner, Juan Antonio Campos, Zuzana Plesková, László Demeter, George Fayvush, Asun Berastegi, Behlül Güler, Diego Liendo, Nancy Langer, Manfred Finckh, Martin Diekmann, Florian Jeltsch, Anke Jentsch, Robin J. Pakeman, Tobias Ceulemans, Javier Etayo, Orsolya Valkó, Carly J. Stevens, Kaoru Kakinuma, Michele Aleffi, Jiří Danihelka, Alicia Teresa Rosario Acosta, Balázs Teleki, Laura M. E. Sutcliffe, Solvita Rusina, Rosario G. Gavilán, Pieter De Frenne, Michele Mugnai, Arantzazu L. Luzuriaga, Marc Olivier Büchler, Lubomír Tichý, Soroor Rahmanian, Zsolt Molnár, Itziar García-Mijangos, Jürgen Dengler, Harald Pauli, Asuka Koyama, Anvar Sanaei, Cecilia Dupré, Parvaneh Ashouri, Vladimir G. Onipchenko, Ute Jandt, Zoltán Bátori, François Gillet, Alla Aleksanyan, Ariel Bergamini, Corrado Marcenò, Constantin Mardari, Nadezda Tsarevskaya, José Luis Benito Alonso, Łukasz Kozub, Ottar Michelsen, Felix May, Goffredo Filibeck, Jan Roleček, Jalil Noroozi, Karsten Wesche, Eva Šmerdová, Michael Manthey, Triin Reitalu, Ana M. Sánchez, Eszter Ruprecht, Regina Lindborg, Idoia Biurrun, Risto Virtanen, Gianpietro Giusso del Galdo, Helmut Mayrhofer, Annika K. Jägerbrand, Mansoureh Kargar, Chrisoula B. Pirini, Dariia Shyriaieva, Sabina Burrascano, Esther Baumann, Christian Dolnik, Kristina Merunková, Ching-Feng Li, Eliane S. Meier, Kuber Prasad Bhatta, Mercedes Herrera, Klaus Ecker, Mohammad Farzam, Marta Torca, Nele Ingerpuu, Philippe Jeanneret, Francesco de Bello, Alireza Naqinezhad, Tünde Farkas, Elena Belonovskaya, Josep M. Ninot, Elias Afif, Munemitsu Akasaka, Lorenzo Lazzaro, András Vojtkó, Leonardo Rosati, Jianshuang Wu, Arshad Ali, Sándor Bartha, Zuoqiang Yuan, Wenhong Ma, Patryk Czortek, Marta Carboni, Franz Essl, Hannah J. White, Carmen Van Mechelen, Brigitta Erschbamer, Marek Malicki, Vasyl Budzhak, Jutta Kapfer, Manuela Winkler, Angela Lomba, Hamid Ejtehadi, Judit Sonkoly, Ingrid Turisová, Thomas Vanneste, Laura Cancellieri, Sonja Škornik, David Zelený, Zygmunt Kącki, Alessandro Chiarucci, Salza Palpurina, Sigrid Suchrow, Kathrin Kiehl, Amir Talebi, Beata Cykowska-Marzencka, Borja Jiménez-Alfaro, Nataša Pipenbaher, Frank Yonghong Li, Wendy Fjellstad, Ivana Vitasović-Kosić, Maria Pilar Rodríguez-Rojo, Álvaro Bueno, Daniele Viciani, Juha M. Alatalo, Emelie Waldén, Sahar Ghafari, Grzegorz Swacha, Anna Mária Csergő, Lu Wen, Balázs Deák, Ioannis Tsiripidis, Luis Villar, Maria-Teresa Sebastià, Svetlana Aćić, Halime Moradi, Kiril Vassilev, Daniel García-Magro, Sebastian Wolfrum, Iva Apostolova, Marko Sabovljevic, Giovanna Potenza, Monika Staniaszek-Kik, Iwona Dembicz, Aveliina Helm, Marta Czarnocka-Cieciura, Marta Gaia Sperandii, John-Arvid Grytnes, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Biurrun I., Pielech R., Dembicz I., Gillet F., Kozub L., Marceno C., Reitalu T., Van Meerbeek K., Guarino R., Chytry M., Pakeman R.J., Preislerova Z., Axmanova I., Burrascano S., Bartha S., Boch S., Bruun H.H., Conradi T., De Frenne P., Essl F., Filibeck G., Hajek M., Jimenez-Alfaro B., Kuzemko A., Molnar Z., Partel M., Patsch R., Prentice H.C., Rolecek J., Sutcliffe L.M.E., Terzi M., Winkler M., Wu J., Acic S., Acosta A.T.R., Afif E., Akasaka M., Alatalo J.M., Aleffi M., Aleksanyan A., Ali A., Apostolova I., Ashouri P., Batori Z., Baumann E., Becker T., Belonovskaya E., Benito Alonso J.L., Berastegi A., Bergamini A., Bhatta K.P., Bonini I., Buchler M.-O., Budzhak V., Bueno A., Buldrini F., Campos J.A., Cancellieri L., Carboni M., Ceulemans T., Chiarucci A., Chocarro C., Conti L., Csergo A.M., Cykowska-Marzencka B., Czarniecka-Wiera M., Czarnocka-Cieciura M., Czortek P., Danihelka J., de Bello F., Deak B., Demeter L., Deng L., Diekmann M., Dolezal J., Dolnik C., Drevojan P., Dupre C., Ecker K., Ejtehadi H., Erschbamer B., Etayo J., Etzold J., Farkas T., Farzam M., Fayvush G., Fernandez Calzado M.R., Finckh M., Fjellstad W., Fotiadis G., Garcia-Magro D., Garcia-Mijangos I., Gavilan R.G., Germany M., Ghafari S., Giusso del Galdo G.P., Grytnes J.-A., Guler B., Gutierrez-Giron A., Helm A., Herrera M., Hullbusch E.M., Ingerpuu N., Jagerbrand A.K., Jandt U., Janisova M., Jeanneret P., Jeltsch F., Jensen K., Jentsch A., Kacki Z., Kakinuma K., Kapfer J., Kargar M., Kelemen A., Kiehl K., Kirschner P., Koyama A., Langer N., Lazzaro L., Leps J., Li C.-F., Li F.Y., Liendo D., Lindborg R., Lobel S., Lomba A., Lososova 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., Merunkova 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., Perez-Haase A., Peters J., Pipenbaher N., Pirini C., Pladevall-Izard E., Pleskova Z., Potenza G., Rahmanian S., Rodriguez-Rojo M.P., Ronkin V., Rosati L., Ruprecht E., Rusina S., Sabovljevic M., Sanaei A., Sanchez A.M., Santi F., Savchenko G., Sebastia M.T., Shyriaieva D., Silva V., Skornik S., Smerdova E., Sonkoly J., Sperandii M.G., Staniaszek-Kik M., Stevens C., Stifter S., Suchrow S., Swacha G., Swierszcz S., Talebi A., Teleki B., Tichy L., Tolgyesi C., Torca M., Torok P., Tsarevskaya N., Tsiripidis I., Turisova I., Ushimaru A., Valko O., Van Mechelen C., Vanneste T., Vasheniak I., Vassilev K., Viciani D., Villar L., Virtanen R., Vitasovic-Kosic I., Vojtko A., Vynokurov D., Walden E., Wang Y., Weiser F., Wen L., Wesche K., White H., Widmer S., Wolfrum S., Wrobel A., Yuan Z., Zeleny D., Zhao L., Dengler J., Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, Françoi, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Van Meerbeek, Koenraad, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Preislerová, Zdenka, Axmanová, Irena, Burrascano, Sabina, Bartha, Sándor, Boch, Steffen, Bruun, Hans Henrik, Conradi, Timo, De Frenne, Pieter, Essl, Franz, Filibeck, Goffredo, Hájek, Michal, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Molnár, Zsolt, Pärtel, Meeli, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M.E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T.R., Afif, Elia, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thoma, Belonovskaya, Elena, Benito Alonso, José Lui, Berastegi, Asun, Bergamini, Ariel, Bhatta, Kuber Prasad, Bonini, Ilaria, Büchler, Marc‐Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobia, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergő, Anna Mária, Cykowska‐Marzencka, Beata, Czarniecka‐Wiera, Marta, Czarnocka‐Cieciura, Marta, Czortek, Patryk, Danihelka, Jiří, de Bello, Francesco, Deák, Baláz, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Dřevojan, Pavel, Dupré, Cecilia, Ecker, Klau, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgio, García‐Magro, Daniel, García‐Mijangos, Itziar, Gavilán, Rosario G., Germany, Marku, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John‐Arvid, Güler, Behlül, Gutiérrez‐Girón, Alba, Helm, Aveliina, Herrera, Mercede, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jägerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kącki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andrá, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Langer, Nancy, Lazzaro, Lorenzo, Lepš, Jan, Li, Ching‐Feng, Li, Frank Yonghong, Liendo, Diego, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Meier, Eliane Seraina, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Mugnai, Michele, Naqinezhad, Alireza, Natcheva, Rayna, Ninot, Josep M., Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onipchenko, Vladimir, Palpurina, Salza, Pauli, Harald, Pedashenko, Hristo, Pedersen, Christian, Peet, Robert K., Pérez‐Haase, Aaron, Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Pladevall‐Izard, Eulàlia, Plesková, Zuzana, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez‐Rojo, Maria Pilar, Ronkin, Vladimir, Rosati, Leonardo, Ruprecht, Eszter, Rusina, Solvita, Sabovljević, Marko, Sanaei, Anvar, Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sebastià, Maria Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Sonkoly, Judit, Sperandii, Marta Gaia, Staniaszek‐Kik, Monika, Stevens, Carly, Stifter, Simon, Suchrow, Sigrid, Swacha, Grzegorz, Świerszcz, Sebastian, Talebi, Amir, Teleki, Baláz, Tichý, Lubomír, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioanni, Turisova, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thoma, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Lui, Virtanen, Risto, Vitasović‐Kosić, Ivana, Vojtkó, Andrá, Vynokurov, Deny, Waldén, Emelie, Wang, Yun, Weiser, Frank, Wen, Lu, Wesche, Karsten, White, Hannah, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Zelený, David, Zhao, Liqing, Dengler, Jürgen, Bavarian Research Foundation, International Association for Vegetation Science, Eusko Jaurlaritza, Czech Science Foundation, Estonian Research Council, Scottish Government's Rural and Environment Science and Analytical Services, Ministero dell'Istruzione, dell'Università e della Ricerca, Agencia Estatal de Investigación (España), Science and Technology Center in Ukraine, Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Swedish Institute, Foundation for Introducing Talent of Nanjing University of Information Science and Technology, Hebei Province, Academy of Sciences of the Czech Republic, Hungarian Academy of Sciences, Tyrolean Science Fund, Austrian Academy of Sciences, University of Innsbruck, Ministerio de Economía y Competitividad (España), Comunidad de Madrid, National Geographic Society, Slovak Academy of Sciences, Fundação para a Ciência e a Tecnologia (Portugal), National Science Centre (Poland), Russian Science Foundation, University of Latvia Foundation, Slovenian Research Agency, Biurrun, I, Pielech, R, Dembicz, I, Gillet, F, Kozub, L, Marceno, C, Reitalu, T, Van Meerbeek, K, Guarino, R, Chytry, M, Pakeman, RJ, Preislerova, Z, Axmanova, I, Burrascano, S, Bartha, S, Boch, S, Bruun, HH, Conradi, T, De Frenne, P, Essl, F, Filibeck, G, Hajek, M, Jimenez-Alfaro, B, Kuzemko, A, MOLNAR, Zsolt, Partel, M, Patsch, R, Prentice, HC, Rolecek, J, Sutcliffe, LME, Terzi, M, Winkler, M, Wu, JS, Acic, S, Acosta, ATR, Afif, E, Akasaka, M, Alatalo, JM, Aleffi, M, Aleksanyan, A, Ali, A, Apostolova, I, Ashouri, P, Batori, Z, Baumann, E, BECKER, T, Belonovskaya, E, Alonso, JLB, Berastegi, A, Bergamini, A, Bhatta, KP, Bonini, I, Buchler, MO, Budzhak, V, Bueno, A, Buldrini, F, Campos, JA, Cancellieri, L, Carboni, M, Ceulemans, T, Chiarucci, A, Chocarro, C, Conti, L, Csergo, AM, Cykowska-Marzencka, B, Czarniecka-Wiera, M, Czarnocka-Cieciura, M, Czortek, P, Danihelka, J, Bello, F, Deak, B, Demeter, L, Deng, L, Diekmann, M, Dolezal, J, Dolnik, C, Drevojan, P, Dupre, C, Ecker, K, Ejtehadi, H, Erschbamer, B, Etayo, J, Etzold, J, Farkas, T, Farzam, M, Fayvush, G, Calzado, MRF, Finckh, M, Fjellstad, W, Fotiadis, G, Garcia-Magro, D, Garcia-Mijangos, I, Gavilan, RG, Germany, M, Ghafari, S, del Galdo, GPG, Grytnes, JA, Guler, B, Gutierrez-Giron, A, Helm, A, Herrera, M, Hullbusch, EM, Ingerpuu, N, Jagerbrand, AK, Jandt, U, Janisova, M, Jeanneret, P, Jeltsch, F, Jensen, K, Jentsch, A, Kacki, Z, Kakinuma, K, Kapfer, J, Kargar, M, Kelemen, A, Kiehl, K, Kirschner, P, Koyama, A, Langer, N, Lazzaro, L, Leps, J, Li, CF, Li, FY, Liendo, D, Lindborg, R, Lobel, S, Lomba, A, Lososova, Z, Lustyk, P, Luzuriaga, AL, Ma, WH, Maccherini, S, Magnes, M, Malicki, M, Manthey, M, Mardari, C, May, F, Mayrhofer, H, Meier, ES, Memariani, F, Merunkova, K, Michelsen, O, Mesa, JM, Moradi, H, Moysiyenko, I, Mugnai, M, Naqinezhad, A, Natcheva, R, Ninot, JM, Nobis, M, Noroozi, J, Nowak, A, Onipchenko, V, Palpurina, S, Pauli, H, Pedashenko, H, Pedersen, C, Peet, RK, Perez-Haase, A, Peters, J, Pipenbaher, N, Pirini, C, Pladevall-Izard, E, Pleskova, Z, Potenza, G, Rahmanian, S, Rodriguez-Rojo, MP, Ronkin, V, Rosati, L, Ruprecht, E, Rusina, S, Sabovljevic, M, Sanaei, A, Sanchez, AM, Santi, F, Savchenko, G, Sebastia, MT, Shyriaieva, D, Silva, V, Skornik, S, Smerdova, E, Sonkoly, J, Sperandii, MG, Staniaszek-Kik, M, Stevens, C, Stifter, S, Suchrow, S, Swacha, G, Swierszcz, S, Talebi, A, Teleki, B, Tichy, L, Tolgyesi, C, Torca, M, Torok, P, Tsarevskaya, N, Tsiripidis, I, Turisova, I, Ushimaru, A, Valko, O, VAN MECHELEN, Carmen, Vanneste, T, Vasheniak, I, Vassilev, K, Viciani, D, Villar, L, Virtanen, R, Vitasovic-Kosic, I, Vojtko, A, Vynokurov, D, Walden, E, Wang, Y., Weiser, F, Wen, L, Wesche, K, White, H, Widmer, S, Wolfrum, S, Wrobel, A, Yuan, ZQ, Zeleny, D, Zhao, LQ, Dengler, J., Jiménez‐alfaro, Borja, Sutcliffe, Laura M. E., Acosta, Alicia, Büchler, Marc‐olivier, Cykowska‐marzencka, Beata, Czarniecka‐wiera, Marta, Czarnocka‐cieciura, Marta, Bello, Francesco, García‐magro, Daniel, García‐mijangos, Itziar, Grytnes, John‐arvid, Gutiérrez‐girón, Alba, Li, Ching‐feng, Pérez‐haase, Aaron, Pladevall‐izard, Eulàlia, Rodríguez‐rojo, Maria Pilar, Staniaszek‐kik, Monika, Turisová, Ingrid, and Vitasović‐kosić, Ivana
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Vascular plant ,SURROGATE ,333.7: Landflächen, Naturerholungsgebiete ,Biome ,Lichen ,open habitat ,Plant Science ,DATABASES ,Benchmark ,Grassland ,Scale dependence ,benchmark ,RICHNESS HOTSPOTS ,Vegetation type ,Taxonomic rank ,SCALE ,Macroecology ,ComputingMilieux_MISCELLANEOUS ,2. Zero hunger ,bryophyte ,GLOBAL PATTERNS ,geography.geographical_feature_category ,Ecology ,Open habitat ,vascular plant ,Forestry ,ichen ,Vegetation ,Vegetation plot ,Palaearctic ,580: Pflanzen (Botanik) ,Geography ,Habitat ,scale dependence ,fine-grain biodiversity ,grassland ,GrassPlot Diversity Explorer ,lichen ,species–area relationship ,vegetation plot ,Life Sciences & Biomedicine ,CONSERVATION ,Environmental Sciences & Ecology ,Fine-grain biodiversity ,benchmark, bryophyte, fine-grain biodiversity, grassland, GrassPlot Diversity Explorer, lichen, open habitat, Palaearctic, scale dependence, species–area relationship, vascular plant, vegetation plot ,species-area relationship ,benchmark, bryophyte, fine-grain biodiversity, grassland, GrassPlot Diversity Explorer, lichen, open habitat, Palaearctic, scale dependence, species-area relationship, vascular plant, vegetation plot ,Species–area relationship ,Science & Technology ,Plant Sciences ,Biology and Life Sciences ,15. Life on land ,plant diversity ,13. Climate action ,Bryophyte ,SPECIES-AREA RELATIONSHIPS ,VASCULAR PLANTS ,BIODIVERSITY ,Species richness ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,BRYOPHYTES - Abstract
© 2021 The Authors., 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 m 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., GrassPlot development has been supported by the Bavarian Research Alliance (BayIntAn_UBT_2017_58), the Eurasian Dry Grassland Group (EDGG) and the International Association for Vegetation Science (IAVS); IB, CorM, JAC, IGM, DGM, MHe, DL and MTo were supported by the Basque Government (IT936‐16); CorM, IAx, MCh, JDa, PD, MHá, ZL, ZPr, EŠ and LT were supported by the Czech Science Foundation (19‐28491X); TR was supported by the Estonian Research Council (PUT1173); RJP was funded by the Strategic Research Programme of the Scottish Government’s Rural and Environmental Science and Analytical Services Division”; SBa was supported by the GINOP‐2.3.2‐15‐2016‐00019 project; GFi was partially supported by the MIUR initiative “Department of excellence” (Law 232/2016)"; BJA was funded by the Spanish Research Agency (grant AEI/ 10.13039/501100011033); AK, VB, IM, DS, IV and DV were supported by the National Research Foundation of Ukraine (2020.01/0140); MP and AH were supported by the Estonian Research Council (PRG874, PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange); Data collection of HCP was funded by FORMAS (Swedish Research Council for Environment, Agricultural Science and Spatial Planning) and The Swedish Institute; JR was supported by the Czech Science Foundation (grant No. 20‐09895S) and the long‐term developmental project of the Czech Academy of Sciences (RVO 67985939); ATRA was funded by the Grant of Excellence Departments, MIUR‐Italy (ARTICOLO 1, COMMI 314 – 337 LEGGE 232/2016); JMA was supported by Carl Tryggers stiftelse för vetenskaplig forskning and Qatar Petroleum; AAli was supported by the Jiangsu Science and Technology Special Project (Grant No. BX2019084), and Metasequoia Faculty Research Startup Funding at Nanjing Forestry University (Grant No. 163010230), and he is currently supported by Hebei University through Faculty Research Startup Funding Program; ZB was supported by the NKFI K 124796 grant; The GLORIA‐ Aragón project of JLBA was funded by the Dirección General de Cambio Climático del Gobierno de Aragón (Spain); MCs and LDem were supported by DG Environment through the European Forum on Nature Conservation and Pastoralism and Barbara Knowles Fund, in collaboration with Pogány‐havas Association, Romania; JDa was partially supported by long‐term research development project no. RVO 67985939 of the Czech Academy of Sciences; BD and OV were supported by the NKFI KH 126476, NKFI KH 130338, NKFI FK 124404 and NKFI FK 135329 grants; BD, OV and AKe were supported by the Bolyai János Scholarship of the Hungarian Academy of Sciences; BE was funded by the Environmental Department of the Tyrolean Federal State Government, the MAB Programme of the Austrian Academy of Science, the Mountain Agriculture Research Unit and the Alpine Research Centre Obergurgl of Innsbruck University. The GLORIA projects of BE were funded by the EU project no. EVK2‐CT‐2000‐00056, the Earth System Sciences Program of the Austrian Academy of Sciences (project MEDIALPS), the Amt für Naturparke, Autonome Provinz Bozen‐Südtirol, the Südtiroler Wissenschaftsfonds and the Tiroler Wissenschaftsfonds; RGG was supported by the Spanish Ministry of Research to sample GLORIA sites in central Spain (CGL 2008‐00901/BOS) and present works by the Autonomous Region of Madrid (REMEDINAL TE‐CM, S2018/EMT‐4338); MJ was supporteLatviaed by Latvia Grant No. 194051; NP and SŠ were partly supported by the Slovenian Research Agency, core fundings P1‐0403 and J7‐1822.
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- 2021
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37. IMPROVEMENT OF MICROSTRUCTURE AND BARRIER PROPERTIES OF SILICATE COATINGS ON LOW CARBON STEEL BY INCORPORATING COLLOIDAL NANO-SiO2.
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MAJDI, M. R., DANAEE, I., ZAAREI, D., and FARZAM, M.
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- *
MILD steel , *CARBON steel , *SILICATES , *SURFACE coatings , *CORROSION resistance , *SURFACE morphology - Abstract
Silicate coatings have been considered as an alternative to toxic and carcinogenic other chemical treatments. In this paper, a strengthened silicate coating was formed on the surface of low carbon steel by dip immersion method. The modification and strengthening was done by loading colloidal nano-SiO2 into the film. The characterizations of nano-SiO2 were investigated by FESEM, TEM and FT-IR. The effects of nano contents (weight ratio) and drying temperatures on corrosion properties of silicate film were studied. Potentiodynamic polarization, electrochemical impedance spectroscopy and immersion tests have been used to study corrosion behavior of nano-loaded silicate films. Surface morphology, microstructure and its chemical composition were analyzed by means of FESEM, EDS, AFM, XRD, GIXRD, ATR-FTIR and Raman techniques. Results indicated that colloidal nano-SiO2 properly modified the silicate coatings and significantly improved the corrosion resistance and barrier property. Also drying temperature showed a considerable effect in silicate coating and higher corrosion resistance was obtained with 150°C curing. [ABSTRACT FROM AUTHOR]
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- 2020
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38. Unforeseen plant phenotypic diversity in a dry and grazed world.
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Gross N, Maestre FT, Liancourt P, Berdugo M, Martin R, Gozalo B, Ochoa V, Delgado-Baquerizo M, Maire V, Saiz H, Soliveres S, Valencia E, Eldridge DJ, Guirado E, Jabot F, Asensio S, Gaitán JJ, García-Gómez M, Martínez P, Martínez-Valderrama J, Mendoza BJ, Moreno-Jiménez E, Pescador DS, Plaza C, Pijuan IS, Abedi M, Ahumada RJ, Amghar F, Arroyo AI, Bahalkeh K, Bailey L, Ben Salem F, Blaum N, Boldgiv B, Bowker MA, Branquinho C, van den Brink L, Bu C, Canessa R, Castillo-Monroy ADP, Castro H, Castro P, Chibani R, Conceição AA, Darrouzet-Nardi A, Davila YC, Deák B, Donoso DA, Durán J, Espinosa C, Fajardo A, Farzam M, Ferrante D, Franzese J, Fraser L, Gonzalez S, Gusman-Montalvan E, Hernández-Hernández RM, Hölzel N, Huber-Sannwald E, Jadan O, Jeltsch F, Jentsch A, Ju M, Kaseke KF, Kindermann L, le Roux P, Linstädter A, Louw MA, Mabaso M, Maggs-Kölling G, Makhalanyane TP, Issa OM, Manzaneda AJ, Marais E, Margerie P, Hughes FM, Messeder JVS, Mora JP, Moreno G, Munson SM, Nunes A, Oliva G, Oñatibia GR, Peter G, Pueyo Y, Quiroga RE, Ramírez-Iglesias E, Reed SC, Rey PJ, Reyes Gómez VM, Rodríguez A, Rolo V, Rubalcaba JG, Ruppert JC, Sala O, Salah A, Sebei PJ, Stavi I, Stephens C, Teixido AL, Thomas AD, Throop HL, Tielbörger K, Travers S, Undrakhbold S, Val J, Valkó O, Velbert F, Wamiti W, Wang L, Wang D, Wardle GM, Wolff P, Yahdjian L, Yari R, Zaady E, Zeberio JM, Zhang Y, Zhou X, and Le Bagousse-Pinguet Y
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- Animals, Climate Change, Geographic Mapping, Biodiversity, Desert Climate, Herbivory physiology, Livestock physiology, Phenotype, Plants chemistry, Plants classification
- Abstract
Earth harbours an extraordinary plant phenotypic diversity
1 that is at risk from ongoing global changes2,3 . However, it remains unknown how increasing aridity and livestock grazing pressure-two major drivers of global change4-6 -shape the trait covariation that underlies plant phenotypic diversity1,7 . Here we assessed how covariation among 20 chemical and morphological traits responds to aridity and grazing pressure within global drylands. Our analysis involved 133,769 trait measurements spanning 1,347 observations of 301 perennial plant species surveyed across 326 plots from 6 continents. Crossing an aridity threshold of approximately 0.7 (close to the transition between semi-arid and arid zones) led to an unexpected 88% increase in trait diversity. This threshold appeared in the presence of grazers, and moved toward lower aridity levels with increasing grazing pressure. Moreover, 57% of observed trait diversity occurred only in the most arid and grazed drylands, highlighting the phenotypic uniqueness of these extreme environments. Our work indicates that drylands act as a global reservoir of plant phenotypic diversity and challenge the pervasive view that harsh environmental conditions reduce plant trait diversity8-10 . They also highlight that many alternative strategies may enable plants to cope with increases in environmental stress induced by climate change and land-use intensification., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2024
- Full Text
- View/download PDF
39. Correction to: Integrated approaches for heavy metal-contaminated soil remediation: harnessing the potential of Paulownia elongata S. Y. Hu, Oscillatoria sp., arbuscular mycorrhizal fungi (Glomus mosseae and Glomus intraradices), and iron nanoparticles.
- Author
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Khoshyomn S, Heidari A, Farzam M, Shariatmadari Z, and Karimian Z
- Published
- 2024
- Full Text
- View/download PDF
40. Hotspots of biogeochemical activity linked to aridity and plant traits across global drylands.
- Author
-
Eldridge DJ, Ding J, Dorrough J, Delgado-Baquerizo M, Sala O, Gross N, Le Bagousse-Pinguet Y, Mallen-Cooper M, Saiz H, Asensio S, Ochoa V, Gozalo B, Guirado E, García-Gómez M, Valencia E, Martínez-Valderrama J, Plaza C, Abedi M, Ahmadian N, Ahumada RJ, Alcántara JM, Amghar F, Azevedo L, Ben Salem F, Berdugo M, Blaum N, Boldgiv B, Bowker M, Bran D, Bu C, Canessa R, Castillo-Monroy AP, Castro I, Castro-Quezada P, Cesarz S, Chibani R, Conceição AA, Darrouzet-Nardi A, Davila YC, Deák B, Díaz-Martínez P, Donoso DA, Dougill AD, Durán J, Eisenhauer N, Ejtehadi H, Espinosa CI, Fajardo A, Farzam M, Foronda A, Franzese J, Fraser LH, Gaitán J, Geissler K, Gonzalez SL, Gusman-Montalvan E, Hernández RM, Hölzel N, Hughes FM, Jadan O, Jentsch A, Ju M, Kaseke KF, Köbel M, Lehmann A, Liancourt P, Linstädter A, Louw MA, Ma Q, Mabaso M, Maggs-Kölling G, Makhalanyane TP, Issa OM, Marais E, McClaran M, Mendoza B, Mokoka V, Mora JP, Moreno G, Munson S, Nunes A, Oliva G, Oñatibia GR, Osborne B, Peter G, Pierre M, Pueyo Y, Emiliano Quiroga R, Reed S, Rey A, Rey P, Gómez VMR, Rolo V, Rillig MC, le Roux PC, Ruppert JC, Salah A, Sebei PJ, Sharkhuu A, Stavi I, Stephens C, Teixido AL, Thomas AD, Tielbörger K, Robles ST, Travers S, Valkó O, van den Brink L, Velbert F, von Heßberg A, Wamiti W, Wang D, Wang L, Wardle GM, Yahdjian L, Zaady E, Zhang Y, Zhou X, and Maestre FT
- Subjects
- Plants, Ecosystem, Desert Climate, Animals, Herbivory, Soil chemistry
- Abstract
Perennial plants create productive and biodiverse hotspots, known as fertile islands, beneath their canopies. These hotspots largely determine the structure and functioning of drylands worldwide. Despite their ubiquity, the factors controlling fertile islands under conditions of contrasting grazing by livestock, the most prevalent land use in drylands, remain virtually unknown. Here we evaluated the relative importance of grazing pressure and herbivore type, climate and plant functional traits on 24 soil physical and chemical attributes that represent proxies of key ecosystem services related to decomposition, soil fertility, and soil and water conservation. To do this, we conducted a standardized global survey of 288 plots at 88 sites in 25 countries worldwide. We show that aridity and plant traits are the major factors associated with the magnitude of plant effects on fertile islands in grazed drylands worldwide. Grazing pressure had little influence on the capacity of plants to support fertile islands. Taller and wider shrubs and grasses supported stronger island effects. Stable and functional soils tended to be linked to species-rich sites with taller plants. Together, our findings dispel the notion that grazing pressure or herbivore type are linked to the formation or intensification of fertile islands in drylands. Rather, our study suggests that changes in aridity, and processes that alter island identity and therefore plant traits, will have marked effects on how perennial plants support and maintain the functioning of drylands in a more arid and grazed world., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
- Published
- 2024
- Full Text
- View/download PDF
41. Author Correction: Hotspots of biogeochemical activity linked to aridity and plant traits across global drylands.
- Author
-
Eldridge DJ, Ding J, Dorrough J, Delgado-Baquerizo M, Sala O, Gross N, Le Bagousse-Pinguet Y, Mallen-Cooper M, Saiz H, Asensio S, Ochoa V, Gozalo B, Guirado E, García-Gómez M, Valencia E, Martínez-Valderrama J, Plaza C, Abedi M, Ahmadian N, Ahumada RJ, Alcántara JM, Amghar F, Azevedo L, Ben Salem F, Berdugo M, Blaum N, Boldgiv B, Bowker M, Bran D, Bu C, Canessa R, Castillo-Monroy AP, Castro I, Castro-Quezada P, Cesarz S, Chibani R, Conceição AA, Darrouzet-Nardi A, Davila YC, Deák B, Díaz-Martínez P, Donoso DA, Dougill AD, Durán J, Eisenhauer N, Ejtehadi H, Espinosa CI, Fajardo A, Farzam M, Foronda A, Franzese J, Fraser LH, Gaitán J, Geissler K, Gonzalez SL, Gusman-Montalvan E, Hernández RM, Hölzel N, Hughes FM, Jadan O, Jentsch A, Ju M, Kaseke KF, Köbel M, Lehmann A, Liancourt P, Linstädter A, Louw MA, Ma Q, Mabaso M, Maggs-Kölling G, Makhalanyane TP, Issa OM, Marais E, McClaran M, Mendoza B, Mokoka V, Mora JP, Moreno G, Munson S, Nunes A, Oliva G, Oñatibia GR, Osborne B, Peter G, Pierre M, Pueyo Y, Emiliano Quiroga R, Reed S, Rey A, Rey P, Gómez VMR, Rolo V, Rillig MC, le Roux PC, Ruppert JC, Salah A, Sebei PJ, Sharkhuu A, Stavi I, Stephens C, Teixido AL, Thomas AD, Tielbörger K, Robles ST, Travers S, Valkó O, van den Brink L, Velbert F, von Heßberg A, Wamiti W, Wang D, Wang L, Wardle GM, Yahdjian L, Zaady E, Zhang Y, Zhou X, and Maestre FT
- Published
- 2024
- Full Text
- View/download PDF
42. Integrated approaches for heavy metal-contaminated soil remediation: harnessing the potential of Paulownia elongata S. Y. Hu, Oscillatoria sp., arbuscular mycorrhizal fungi (Glomus mosseae and Glomus intraradices), and iron nanoparticles.
- Author
-
Khoshyomn S, Heidari A, Farzam M, Shariatmadari Z, and Karimian Z
- Subjects
- Iron chemistry, Chlorophyll A, Nickel, Biodegradation, Environmental, Soil chemistry, Plant Roots chemistry, Mycorrhizae, Oscillatoria, Metals, Heavy analysis, Nanoparticles chemistry, Soil Pollutants analysis, Fungi
- Abstract
In recent years, researchers have extensively investigated the remediation of heavy metal-contaminated soil using plants, microorganisms, and iron nanoparticles. The objective of this study was to investigate and compare the individual and simultaneous effects of Paulownia elongata S. Y. Hu, cyanobacteria (Oscillatoria sp.), arbuscular mycorrhizal fungi (AMF) including Glomus mosseae and Glomus intraradices, and zero-valent iron nanoparticles (nZVI) on the remediation of heavy metal-contaminated soil containing chromium (Cr VI and Cr III) and nickel (Ni). The study found significant variations in parameters such as pH (acidity), electrical conductivity (EC), nitrogen (N), phosphorus (P), potassium (K), and organic carbon (OC) among different treatments. The addition of cyanobacteria, AMF, and nZVI influenced these properties, resulting in both increases and decreases compared to the control treatment. The treatment involving a combination of cyanobacteria, AMF, and nZVI (CCAN25) exhibited the highest increase in growth parameters, such as total dry mass, root length, stem diameter, and leaf area, while other treatments showed varied effects on plant growth. Moreover, the CCAN25 treatment demonstrated the highest increase in chlorophyll a, chlorophyll b, and carotenoid levels, whereas other treatments displayed reductions in these pigments compared to the control. Moderate phytoaccumulation of Cr and Ni in P. elongata samples across all treatments was observed, as indicated by the bioconcentration factor and bioaccumulation coefficient values being less than 1.0 for both metals. The findings provide insights into the potential application of these treatments for soil remediation and plant growth enhancement in contaminated environments., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2024
- Full Text
- View/download PDF
43. Friction force-based measurements for simultaneous determination of the wetting properties and stability of superhydrophobic surfaces.
- Author
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Beitollahpoor M, Farzam M, and Pesika NS
- Abstract
Hypothesis: Contact angle and sliding angle measurements are widely used to characterize superhydrophobic surfaces because of the simplicity and accessibility of the technique. We hypothesize that dynamic friction measurements, with increasing pre-loads, between a water drop and a superhydrophobic surface is more accurate because this technique is less influenced by local surface inhomogeneities and temporal surface changes., Experiments: A water drop, held by a ring probe which is connected to a dual-axis force sensor, is sheared against a superhydrophobic surface while maintaining a constant preload. From this force-based technique, static and kinetic friction forces measurements are used to characterize the wetting properties of the superhydrophobic surfaces. Furthermore, by applying increased pre-loads to the water drop while shearing, the critical load at which the drop transitions from the Cassie-Baxter to Wenzel state is also measured., Findings: The force-based technique predicts sliding angles with reduced standard deviations (between 56 and 64%) compared to conventional optical-based measurements. Kinetic friction force measurements show a higher accuracy (between 35 and 80%) compared to static friction force measurements in characterizing the wetting properties of superhydrophobic surfaces. The critical loads for the Cassie-Baxter to Wenzel state transition allows for stability characterization between seemingly similar superhydrophobic surfaces., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Noshir S Pesika reports financial support was provided by Louisiana Board of Regents., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
44. Force-Based Characterization of the Wetting Properties of LDPE Surfaces Treated with CF 4 and H 2 Plasmas.
- Author
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Aktas C, Polat O, Beitollahpoor M, Farzam M, Pesika NS, and Sahiner N
- Abstract
Low-density polyethylene (LDPE) films are widely used in packaging, insulation and many other commodity applications due to their excellent mechanical and chemical properties. However, the water-wetting and water-repellant properties of these films are insufficient for certain applications. In this study, bare LDPE and textured LDPE (T-LDPE) films were subjected to low-pressure plasmas, such as carbon tetrafluoride (CF
4 ) and hydrogen (H2 ), to see the effect of plasma treatment on the wetting properties of LDPE films. In addition, the surface of the LDPE film was textured to improve the hydrophobicity through the lotus effect. The LDPE and T-LDPE films had contact angle (θ) values of 98.6° ± 0.6 and 143.6° ± 1.0, respectively. After CF4 plasma treatments, the θ values of the surfaces increased for both surfaces, albeit within the standard deviation for the T-LDPE film. On the other hand, the contact angle values after H2 plasma treatment decreased for both surfaces. The surface energy measurements supported the changes in the contact angle values: exposure to H2 plasma decreased the contact angle, while exposure to CF4 plasma increased the contact angle. Kinetic friction force measurements of water drops on LDPE and T-LDPE films showed a decrease in friction after the CF4 plasma treatment, consistent with the contact angle and surface energy measurements. Notably, the kinetic friction force measurements proved to be more sensitive compared to the contact angle measurements in differentiating the wetting properties of the T-LDPE versus 3× CF4 -plasma-treated LDPE films. Based on Atomic Force Microscopy (AFM) images of the flat LDPE samples, the 3× CF4 plasma treatment did not significantly change the surface morphology or roughness. However, in the case of the T-LDPE samples, Scanning Electron Microscopy (SEM) images showed noticeable morphological changes, which were more significant at sharp edges of the surface structures.- Published
- 2023
- Full Text
- View/download PDF
45. The interactions of Cr (VI) concentrations and amendments (biochar and manure) on growth and metal accumulation of two species of Salicornia in contaminated soil.
- Author
-
Ashrafi F, Heidari A, Farzam M, Karimi A, and Amini M
- Subjects
- Manure, Charcoal, Biodegradation, Environmental, Soil, Soil Pollutants analysis, Metals, Heavy analysis
- Abstract
Heavy metals are among the most dangerous contaminants in the environment. Organic components and plant species that can accumulate and stabilize heavy metals in their organs are a good option for soil remediation of these elements. Therefore, this study aimed to investigate the effects of manure and biochar on the accumulation of heavy metals by Salicornia species. Salicornia persica Akhani and Salicornia perspolitana Akhani were cultivated outdoor in experimental pots. The effects of experimental treatments, including Cr (VI) concentrations, manure, and biochar on the two studied species, were investigated. The results indicated a significant effect (p < 0.05) of biochar on the accumulation of heavy metals by two species, S. persica and S. perspolitana, so that Cr concentrations in the roots and shoots were 258 and 5.41 mg/kg, respectively. In addition, Cr accumulations under manure treatments in the roots and shoots were 334.34 and 9.79 mg/kg, respectively. The content of photosynthetic pigments in both S. persica and S. perspolitana species under biochar treatment was higher than in control and manure treatments. In general, one can conclude that the accumulation of Cr in S. perspolitana was higher than in S. persica. Applying biochar and manure amendments could stabilize Cr in soil and reduce Cr accumulation in both S. persica and S. perspolitana species., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2023
- Full Text
- View/download PDF
46. Grazing and ecosystem service delivery in global drylands.
- Author
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Maestre FT, Le Bagousse-Pinguet Y, Delgado-Baquerizo M, Eldridge DJ, Saiz H, Berdugo M, Gozalo B, Ochoa V, Guirado E, García-Gómez M, Valencia E, Gaitán JJ, Asensio S, Mendoza BJ, Plaza C, Díaz-Martínez P, Rey A, Hu HW, He JZ, Wang JT, Lehmann A, Rillig MC, Cesarz S, Eisenhauer N, Martínez-Valderrama J, Moreno-Jiménez E, Sala O, Abedi M, Ahmadian N, Alados CL, Aramayo V, Amghar F, Arredondo T, Ahumada RJ, Bahalkeh K, Ben Salem F, Blaum N, Boldgiv B, Bowker MA, Bran D, Bu C, Canessa R, Castillo-Monroy AP, Castro H, Castro I, Castro-Quezada P, Chibani R, Conceição AA, Currier CM, Darrouzet-Nardi A, Deák B, Donoso DA, Dougill AJ, Durán J, Erdenetsetseg B, Espinosa CI, Fajardo A, Farzam M, Ferrante D, Frank ASK, Fraser LH, Gherardi LA, Greenville AC, Guerra CA, Gusmán-Montalvan E, Hernández-Hernández RM, Hölzel N, Huber-Sannwald E, Hughes FM, Jadán-Maza O, Jeltsch F, Jentsch A, Kaseke KF, Köbel M, Koopman JE, Leder CV, Linstädter A, le Roux PC, Li X, Liancourt P, Liu J, Louw MA, Maggs-Kölling G, Makhalanyane TP, Issa OM, Manzaneda AJ, Marais E, Mora JP, Moreno G, Munson SM, Nunes A, Oliva G, Oñatibia GR, Peter G, Pivari MOD, Pueyo Y, Quiroga RE, Rahmanian S, Reed SC, Rey PJ, Richard B, Rodríguez A, Rolo V, Rubalcaba JG, Ruppert JC, Salah A, Schuchardt MA, Spann S, Stavi I, Stephens CRA, Swemmer AM, Teixido AL, Thomas AD, Throop HL, Tielbörger K, Travers S, Val J, Valkó O, van den Brink L, Ayuso SV, Velbert F, Wamiti W, Wang D, Wang L, Wardle GM, Yahdjian L, Zaady E, Zhang Y, Zhou X, Singh BK, and Gross N
- Subjects
- Climate Change, Soil, Biodiversity, Herbivory, Livestock
- Abstract
Grazing represents the most extensive use of land worldwide. Yet its impacts on ecosystem services remain uncertain because pervasive interactions between grazing pressure, climate, soil properties, and biodiversity may occur but have never been addressed simultaneously. Using a standardized survey at 98 sites across six continents, we show that interactions between grazing pressure, climate, soil, and biodiversity are critical to explain the delivery of fundamental ecosystem services across drylands worldwide. Increasing grazing pressure reduced ecosystem service delivery in warmer and species-poor drylands, whereas positive effects of grazing were observed in colder and species-rich areas. Considering interactions between grazing and local abiotic and biotic factors is key for understanding the fate of dryland ecosystems under climate change and increasing human pressure.
- Published
- 2022
- Full Text
- View/download PDF
47. Advances in the Fabrication and Characterization of Superhydrophobic Surfaces Inspired by the Lotus Leaf.
- Author
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Farzam M, Beitollahpoor M, Solomon SE, Ashbaugh HS, and Pesika NS
- Abstract
Nature has proven to be a valuable resource in inspiring the development of novel technologies. The field of biomimetics emerged centuries ago as scientists sought to understand the fundamental science behind the extraordinary properties of organisms in nature and applied the new science to mimic a desired property using various materials. Through evolution, living organisms have developed specialized surface coatings and chemistries with extraordinary properties such as the superhydrophobicity, which has been exploited to maintain structural integrity and for survival in harsh environments. The Lotus leaf is one of many examples which has inspired the fabrication of superhydrophobic surfaces. In this review, the fundamental science, supported by rigorous derivations from a thermodynamic perspective, is presented to explain the origin of superhydrophobicity. Based on theory, the interplay between surface morphology and chemistry is shown to influence surface wetting properties of materials. Various fabrication techniques to create superhydrophobic surfaces are also presented along with the corresponding advantages and/or disadvantages. Recent advances in the characterization techniques used to quantify the superhydrophobicity of surfaces is presented with respect to accuracy and sensitivity of the measurements. Challenges associated with the fabrication and characterization of superhydrophobic surfaces are also discussed.
- Published
- 2022
- Full Text
- View/download PDF
48. Assessment of plant species suitability in green walls based on API, heavy metal accumulation, and particulate matter capture capacity.
- Author
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Hozhabralsadat MS, Heidari A, Karimian Z, and Farzam M
- Subjects
- Ascorbic Acid pharmacology, Carbon analysis, Environmental Monitoring methods, Humans, Lead analysis, Oxygen analysis, Particulate Matter analysis, Plant Leaves chemistry, Plants, Water analysis, Air Pollutants analysis, Air Pollution analysis, Metals, Heavy analysis
- Abstract
One of the most pressing issues confronting the civilized and modern world is air pollution. Particulate matter (PM) is a well-known pollutant that contributes significantly to urban air pollution and has numerous short- and long-term adverse effects on human health. One method of reducing air pollution is to create green spaces, mainly green walls, as a short-term solution. The current study investigated the ability of nine plant species to reduce traffic-related PM using a green wall system installed along a busy road in Mashhad, Iran. The main aims were (1) estimate the tolerance level of plant species on green walls to air pollution using the air pollution tolerance index (APTI); (2) assess the PM capture on the leaves of green wall species using scanning electron microscopy (SEM), energy dispersive X-ray (EDX) analysis, and accumulation of heavy metals using inductively coupled plasma (ICP); (3) select the most tolerance species for reducing air pollution using anticipated performance index (API). The plants' APTI values ranged from 5 to 12. The highest APTI value was found in Carpobrotus edulis and Rosmarinus officinalis, while Kochia prostrata had the lowest. Among the APTI constituents, leaf water content (R
2 = 0.29) and ascorbic acid (R2 = 0.33) had a positive effect on APTI. According to SEM analysis, many PMs were adsorbed on the adaxial and abaxial leaf surfaces, as well as near the stomata of Lavandula angustifolia, C. edulis, Vinca minor, and Hylotelephium sp. Based on EDX analysis, carbon and oxygen formed the highest amount (more than 60%) of metals detected in the elemental composition of PM deposited on the leaves of all species. The Sedum reflexum had the highest Cr, Fe, Pb, and As accumulation. The concentrations of all heavy metals studied in green wall plants were higher than in the control sample. Furthermore, the C. edulis is the best plant for planting in industrial, urban areas of the city based on APTI, biological, economic, and social characteristics. It concludes that green walls composed primarily of plants with small leaves can significantly adsorb PM and accumulation of heavy metal., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2022
- Full Text
- View/download PDF
49. Author Correction: Changes in plant biodiversity facets of rocky outcrops and their surrounding rangelands across precipitation and soil gradients.
- Author
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Rafiee F, Ejtehadi H, Farzam M, Zare H, and Bashirzadeh M
- Published
- 2022
- Full Text
- View/download PDF
50. Changes in plant biodiversity facets of rocky outcrops and their surrounding rangelands across precipitation and soil gradients.
- Author
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Rafiee F, Ejtehadi H, Farzam M, Zare H, and Bashirzadeh M
- Subjects
- Biodiversity, Climate, Plants, Ecosystem, Soil
- Abstract
Climate and soil factors induce substantial controls over plant biodiversity in stressful ecosystems. Despite of some studies on plant biodiversity in extreme ecosystems including rocky outcrops, simultaneous effects of climate and soil factors have rarely been studied on different facets of biodiversity including taxonomic and functional diversity in these ecosystems. In addition, we know little about plant biodiversity variations in such extreme ecosystems compared to natural environments. It seems that environmental factors acting in different spatial scales specifically influence some facets of plant biodiversity. Therefore, we studied changes in taxonomic and functional diversity along precipitation and soil gradients in both landscapes (i) rocky outcrops and (ii) their nearby rangeland sites in northeast of Iran. In this regard, we considered six sites across precipitation and soil gradients in each landscape, and established 90 1m
2 quadrates in them (i.e. 15 quadrats in each site; 15 × 6 = 90 in each landscape). Then, taxonomic and functional diversity were measured using RaoQ index, FDis and CWM indices. Finally, we assessed impacts of precipitation and soil factors on biodiversity indices in both landscapes by performing regression models and variation partitioning procedure. The patterns of taxonomic diversity similarly showed nonlinear changes along the precipitation and soil factors in both landscapes (i.e. outcrop and rangeland). However, we found a more negative and significant trends of variation in functional diversity indices (except for CWMSLA) across precipitation and soil factors in outcrops than their surrounding rangelands. Variations of plant biodiversity were more explained by precipitation factors in surrounding rangelands, whereas soil factors including organic carbon had more consistent and significant effects on plant biodiversity in outcrops. Therefore, our results represent important impacts of soil factors in structuring plant biodiversity facets in stressful ecosystems. While, environmental factors acting in regional and broad scales such as precipitation generally shape vegetation and plant biodiversity patterns in natural ecosystems. We can conclude that rocky outcrops provide suitable microenvironments to present plant species with similar yields that are less able to be present in rangeland ecosystems., (© 2022. The Author(s).)- Published
- 2022
- Full Text
- View/download PDF
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