17 results on '"Memariani F"'
Search Results
2. Modelling potential distribution of an endemic plant (Ferula Microcolea) based on bioclimatic variables in Iran
- Author
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Nazari, Z., primary, Ejtehadi, H., additional, Mirshamsi, O., additional, and Memariani, F., additional
- Published
- 2022
- Full Text
- View/download PDF
3. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
- Author
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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.
- Published
- 2021
4. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
- Author
-
Biurrun, I. (Idoia), Pielech, R. (Remigiusz), Dembicz, I. (Iwona), Gillet, F. (Francois), Kozub, L. (Lukasz), Marceno, C. (Corrado), Reitalu, T. (Triin), Van Meerbeek, K. (Koenraad), Guarino, R. (Riccardo), Chytry, M. (Milan), Pakeman, R. J. (Robin J.), Preislerova, Z. (Zdenka), Axmanova, I. (Irena), Burrascano, S. (Sabina), Bartha, S. (Sandor), Boch, S. (Steffen), Bruun, H. H. (Hans Henrik), Conradi, T. (Timo), De Frenne, P. (Pieter), Essl, F. (Franz), Filibeck, G. (Goffredo), Hajek, M. (Michal), Jimenez-Alfaro, B. (Borja), Kuzemko, A. (Anna), Molnar, Z. (Zsolt), Partel, M. (Meelis), Patsch, R. (Ricarda), Prentice, H. C. (Honor C.), Rolecek, J. (Jan), Sutcliffe, L. M. (Laura M. E.), Terzi, M. (Massimo), Winkler, M. (Manuela), Wu, J. (Jianshuang), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Afif, E. (Elias), Akasaka, M. (Munemitsu), Alatalo, J. M. (Juha M.), Aleffi, M. (Michele), Aleksanyan, A. (Alla), Ali, A. (Arshad), Apostolova, I. (Iva), Ashouri, P. (Parvaneh), Batori, Z. (Zoltan), Baumann, E. (Esther), Becker, T. (Thomas), Belonovskaya, E. (Elena), Benito Alonso, J. L. (Jose Luis), Berastegi, A. (Asun), Bergamini, A. (Ariel), Bhatta, K. P. (Kuber Prasad), Bonini, I. (Ilaria), Buchler, M.-O. (Marc-Olivier), Budzhak, V. (Vasyl), Bueno, A. (Alvaro), Buldrini, F. (Fabrizio), Campos, J. A. (Juan Antonio), Cancellieri, L. (Laura), Carboni, M. (Marta), Ceulemans, T. (Tobias), Chiarucci, A. (Alessandro), Chocarro, C. (Cristina), Conti, L. (Luisa), Csergo, A. M. (Anna Maria), Cykowska-Marzencka, B. (Beata), Czarniecka-Wiera, M. (Marta), Czarnocka-Cieciura, M. (Marta), Czortek, P. (Patryk), Danihelka, J. (Jiri), Bello, F. (Francesco), Deak, B. (Balazs), Demeter, L. (Laszlo), Deng, L. (Lei), Diekmann, M. (Martin), Dolezal, J. (Jiri), Dolnik, C. (Christian), Drevojan, P. (Pavel), Dupre, C. (Cecilia), Ecker, K. (Klaus), Ejtehadi, H. (Hamid), Erschbamer, B. (Brigitta), Etayo, J. (Javier), Etzold, J. (Jonathan), Farkas, T. (Tunde), Farzam, M. (Mohammad), Fayvush, G. (George), Fernandez Calzado, M. R. (Maria Rosa), Finckh, M. (Manfred), Fjellstad, W. (Wendy), Fotiadis, G. (Georgios), Garcia-Magro, D. (Daniel), Garcia-Mijangos, I. (Itziar), Gavilan, R. G. (Rosario G.), Germany, M. (Markus), Ghafari, S. (Sahar), del Galdo, G. P. (Gian Pietro Giusso), Grytnes, J.-A. (John-Arvid), Guler, B. (Behlul), Gutierrez-Giron, A. (Alba), Helm, A. (Aveliina), Herrera, M. (Mercedes), Hullbusch, E. M. (Elisabeth M.), Ingerpuu, N. (Nele), Jaegerbrand, A. K. (Annika K.), Jandt, U. (Ute), Janisova, M. (Monika), Jeanneret, P. (Philippe), Jeltsch, F. (Florian), Jensen, K. (Kai), Jentsch, A. (Anke), Kacki, Z. (Zygmunt), Kakinuma, K. (Kaoru), Kapfer, J. (Jutta), Kargar, M. (Mansoureh), Kelemen, A. (Andras), Kiehl, K. (Kathrin), Kirschner, P. (Philipp), Koyama, A. (Asuka), Langer, N. (Nancy), Lazzaro, L. (Lorenzo), Leps, J. (Jan), Li, C.-F. (Ching-Feng), Li, F. Y. (Frank Yonghong), Liendo, D. (Diego), Lindborg, R. (Regina), Loebel, S. (Swantje), Lomba, A. (Angela), Lososova, Z. (Zdenka), Lustyk, P. (Pavel), Luzuriaga, A. L. (Arantzazu L.), Ma, W. (Wenhong), Maccherini, S. (Simona), Magnes, M. (Martin), Malicki, M. (Marek), Manthey, M. (Michael), Mardari, C. (Constantin), May, F. (Felix), Mayrhofer, H. (Helmut), Meier, E. S. (Eliane Seraina), Memariani, F. (Farshid), Merunkova, K. (Kristina), Michelsen, O. (Ottar), Molero Mesa, J. (Joaquin), Moradi, H. (Halime), Moysiyenko, I. (Ivan), Mugnai, M. (Michele), Naqinezhad, A. (Alireza), Natcheva, R. (Rayna), Ninot, J. M. (Josep M.), Nobis, M. (Marcin), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onipchenko, V. (Vladimir), Palpurina, S. (Salza), Pauli, H. (Harald), Pedashenko, H. (Hristo), Pedersen, C. (Christian), Peet, R. K. (Robert K.), Perez-Haase, A. (Aaron), Peters, J. (Jan), Pipenbaher, N. (Natasa), Pirini, C. (Chrisoula), Pladevall-Izard, E. (Eulalia), Pleskova, Z. (Zuzana), Potenza, G. (Giovanna), Rahmanian, S. (Soroor), Rodriguez-Rojo, M. P. (Maria Pilar), Ronkin, V. (Vladimir), Rosati, L. (Leonardo), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Sabovljevic, M. (Marko), Sanaei, A. (Anvar), Sanchez, A. M. (Ana M.), Santi, F. (Francesco), Savchenko, G. (Galina), Teresa Sebastia, M. (Maria), Shyriaieva, D. (Dariia), Silva, V. (Vasco), Skornik, S. (Sonja), Smerdova, E. (Eva), Sonkoly, J. (Judit), Sperandii, M. G. (Marta Gaia), Staniaszek-Kik, M. (Monika), Stevens, C. (Carly), Stifter, S. (Simon), Suchrow, S. (Sigrid), Swacha, G. (Grzegorz), Swierszcz, S. (Sebastian), Talebi, A. (Amir), Teleki, B. (Balazs), Tichy, L. (Lubomir), Tolgyesi, C. (Csaba), Torca, M. (Marta), Torok, P. (Peter), Tsarevskaya, N. (Nadezda), Tsiripidis, I. (Ioannis), Turisova, I. (Ingrid), Ushimaru, A. (Atushi), Valko, O. (Orsolya), Van Mechelen, C. (Carmen), Vanneste, T. (Thomas), Vasheniak, I. (Iuliia), Vassilev, K. (Kiril), Viciani, D. (Daniele), Villar, L. (Luis), Virtanen, R. (Risto), Vitasovic-Kosic, I. (Ivana), Vojtko, A. (Andras), Vynokurov, D. (Denys), Walden, E. (Emelie), Wang, Y. (Yun), Weiser, F. (Frank), Wen, L. (Lu), Wesche, K. (Karsten), White, H. (Hannah), Widmer, S. (Stefan), Wolfrum, S. (Sebastian), Wrobel, A. (Anna), Yuan, Z. (Zuoqiang), Zeleny, D. (David), Zhao, L. (Liqing), Dengler, J. (Jurgen), Biurrun, I. (Idoia), Pielech, R. (Remigiusz), Dembicz, I. (Iwona), Gillet, F. (Francois), Kozub, L. (Lukasz), Marceno, C. (Corrado), Reitalu, T. (Triin), Van Meerbeek, K. (Koenraad), Guarino, R. (Riccardo), Chytry, M. (Milan), Pakeman, R. J. (Robin J.), Preislerova, Z. (Zdenka), Axmanova, I. (Irena), Burrascano, S. (Sabina), Bartha, S. (Sandor), Boch, S. (Steffen), Bruun, H. H. (Hans Henrik), Conradi, T. (Timo), De Frenne, P. (Pieter), Essl, F. (Franz), Filibeck, G. (Goffredo), Hajek, M. (Michal), Jimenez-Alfaro, B. (Borja), Kuzemko, A. (Anna), Molnar, Z. (Zsolt), Partel, M. (Meelis), Patsch, R. (Ricarda), Prentice, H. C. (Honor C.), Rolecek, J. (Jan), Sutcliffe, L. M. (Laura M. E.), Terzi, M. (Massimo), Winkler, M. (Manuela), Wu, J. (Jianshuang), Acic, S. (Svetlana), Acosta, A. T. (Alicia T. R.), Afif, E. (Elias), Akasaka, M. (Munemitsu), Alatalo, J. M. (Juha M.), Aleffi, M. (Michele), Aleksanyan, A. (Alla), Ali, A. (Arshad), Apostolova, I. (Iva), Ashouri, P. (Parvaneh), Batori, Z. (Zoltan), Baumann, E. (Esther), Becker, T. (Thomas), Belonovskaya, E. (Elena), Benito Alonso, J. L. (Jose Luis), Berastegi, A. (Asun), Bergamini, A. (Ariel), Bhatta, K. P. (Kuber Prasad), Bonini, I. (Ilaria), Buchler, M.-O. (Marc-Olivier), Budzhak, V. (Vasyl), Bueno, A. (Alvaro), Buldrini, F. (Fabrizio), Campos, J. A. (Juan Antonio), Cancellieri, L. (Laura), Carboni, M. (Marta), Ceulemans, T. (Tobias), Chiarucci, A. (Alessandro), Chocarro, C. (Cristina), Conti, L. (Luisa), Csergo, A. M. (Anna Maria), Cykowska-Marzencka, B. (Beata), Czarniecka-Wiera, M. (Marta), Czarnocka-Cieciura, M. (Marta), Czortek, P. (Patryk), Danihelka, J. (Jiri), Bello, F. (Francesco), Deak, B. (Balazs), Demeter, L. (Laszlo), Deng, L. (Lei), Diekmann, M. (Martin), Dolezal, J. (Jiri), Dolnik, C. (Christian), Drevojan, P. (Pavel), Dupre, C. (Cecilia), Ecker, K. (Klaus), Ejtehadi, H. (Hamid), Erschbamer, B. (Brigitta), Etayo, J. (Javier), Etzold, J. (Jonathan), Farkas, T. (Tunde), Farzam, M. (Mohammad), Fayvush, G. (George), Fernandez Calzado, M. R. (Maria Rosa), Finckh, M. (Manfred), Fjellstad, W. (Wendy), Fotiadis, G. (Georgios), Garcia-Magro, D. (Daniel), Garcia-Mijangos, I. (Itziar), Gavilan, R. G. (Rosario G.), Germany, M. (Markus), Ghafari, S. (Sahar), del Galdo, G. P. (Gian Pietro Giusso), Grytnes, J.-A. (John-Arvid), Guler, B. (Behlul), Gutierrez-Giron, A. (Alba), Helm, A. (Aveliina), Herrera, M. (Mercedes), Hullbusch, E. M. (Elisabeth M.), Ingerpuu, N. (Nele), Jaegerbrand, A. K. (Annika K.), Jandt, U. (Ute), Janisova, M. (Monika), Jeanneret, P. (Philippe), Jeltsch, F. (Florian), Jensen, K. (Kai), Jentsch, A. (Anke), Kacki, Z. (Zygmunt), Kakinuma, K. (Kaoru), Kapfer, J. (Jutta), Kargar, M. (Mansoureh), Kelemen, A. (Andras), Kiehl, K. (Kathrin), Kirschner, P. (Philipp), Koyama, A. (Asuka), Langer, N. (Nancy), Lazzaro, L. (Lorenzo), Leps, J. (Jan), Li, C.-F. (Ching-Feng), Li, F. Y. (Frank Yonghong), Liendo, D. (Diego), Lindborg, R. (Regina), Loebel, S. (Swantje), Lomba, A. (Angela), Lososova, Z. (Zdenka), Lustyk, P. (Pavel), Luzuriaga, A. L. (Arantzazu L.), Ma, W. (Wenhong), Maccherini, S. (Simona), Magnes, M. (Martin), Malicki, M. (Marek), Manthey, M. (Michael), Mardari, C. (Constantin), May, F. (Felix), Mayrhofer, H. (Helmut), Meier, E. S. (Eliane Seraina), Memariani, F. (Farshid), Merunkova, K. (Kristina), Michelsen, O. (Ottar), Molero Mesa, J. (Joaquin), Moradi, H. (Halime), Moysiyenko, I. (Ivan), Mugnai, M. (Michele), Naqinezhad, A. (Alireza), Natcheva, R. (Rayna), Ninot, J. M. (Josep M.), Nobis, M. (Marcin), Noroozi, J. (Jalil), Nowak, A. (Arkadiusz), Onipchenko, V. (Vladimir), Palpurina, S. (Salza), Pauli, H. (Harald), Pedashenko, H. (Hristo), Pedersen, C. (Christian), Peet, R. K. (Robert K.), Perez-Haase, A. (Aaron), Peters, J. (Jan), Pipenbaher, N. (Natasa), Pirini, C. (Chrisoula), Pladevall-Izard, E. (Eulalia), Pleskova, Z. (Zuzana), Potenza, G. (Giovanna), Rahmanian, S. (Soroor), Rodriguez-Rojo, M. P. (Maria Pilar), Ronkin, V. (Vladimir), Rosati, L. (Leonardo), Ruprecht, E. (Eszter), Rusina, S. (Solvita), Sabovljevic, M. (Marko), Sanaei, A. (Anvar), Sanchez, A. M. (Ana M.), Santi, F. (Francesco), Savchenko, G. (Galina), Teresa Sebastia, M. (Maria), Shyriaieva, D. (Dariia), Silva, V. (Vasco), Skornik, S. (Sonja), Smerdova, E. (Eva), Sonkoly, J. (Judit), Sperandii, M. G. (Marta Gaia), Staniaszek-Kik, M. (Monika), Stevens, C. (Carly), Stifter, S. (Simon), Suchrow, S. (Sigrid), Swacha, G. (Grzegorz), Swierszcz, S. (Sebastian), Talebi, A. (Amir), Teleki, B. (Balazs), Tichy, L. (Lubomir), Tolgyesi, C. (Csaba), Torca, M. (Marta), Torok, P. (Peter), Tsarevskaya, N. (Nadezda), Tsiripidis, I. (Ioannis), Turisova, I. (Ingrid), Ushimaru, A. (Atushi), Valko, O. (Orsolya), Van Mechelen, C. (Carmen), Vanneste, T. (Thomas), Vasheniak, I. (Iuliia), Vassilev, K. (Kiril), Viciani, D. (Daniele), Villar, L. (Luis), Virtanen, R. (Risto), Vitasovic-Kosic, I. (Ivana), Vojtko, A. (Andras), Vynokurov, D. (Denys), Walden, E. (Emelie), Wang, Y. (Yun), Weiser, F. (Frank), Wen, L. (Lu), Wesche, K. (Karsten), White, H. (Hannah), Widmer, S. (Stefan), Wolfrum, S. (Sebastian), Wrobel, A. (Anna), Yuan, Z. (Zuoqiang), Zeleny, D. (David), Zhao, L. (Liqing), and Dengler, J. (Jurgen)
- Abstract
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m² and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.
- Published
- 2021
5. A review of plant diversity, vegetation, and phytogeography of the Khorassan-Kopet Dagh floristic province in the Irano-Turanian region (northeastern Iran–southern Turkmenistan)
- Author
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Memariani, F., Zarrinpour, Vajihe, Akhani, Hossein, Khoshravesh, Roxana, Memariani, F., Zarrinpour, Vajihe, Akhani, Hossein, and Khoshravesh, Roxana
- Abstract
The Khorassan-Kopet Dagh (KK) floristic province is located in the northeastern parts of Iran and partly in southern Turkmenistan. The area is a transition zone and a corridor connecting different provinces of the Irano-Turanian region and also Hyrcanian montane forests of the Euro-Siberian region. The unique combination of Irano-Turanian species and also presence of a local center of endemism are evidence of a separate biogeographic entity. The complicated topography, high habitat heterogeneity and vegetation history are reasons for the development of diverse vegetation types. In order to achieve up-to-date information on the plant diversity and distribution patterns, a database was prepared using all floristic records from the area defined as KK. A total of 2576 species/infraspecific taxa belonging to 702 genera and 112 families of vascular plants have been reported from the area, 2498 of which occur within Iran. Altogether, 28 different distribution patterns are recognized among five major phytogeographical groups, including widespread, tri-regional, bi-regional, Euro-Siberian and Irano-Turanian patterns. Irano-Turanian elements, which make up the core flora of KK, are subdivided further into 14 distribution patterns. A significant number of species, i.e. 356 species (13.8%), are endemic to the area. The flora of KK is highly influenced by central Irano-Turanian elements. The main vegetation types of the area include Juniperus woodlands, Pistacia vera woodlands, some isolated enclaves of Hyrcanian forests and scrub, cliff vegetation, mountain steppe communities, semi-desert steppes, loess and marl vegetation, halophytic vegetation, aquatic and hygrophilous communities, and ruderal/invasive plant communities. There are several major threats to the ecosystems and biodiversity of the area. The areas presently protected do not cover all of the vegetation types, and therefore many threatened species are not safe.
- Published
- 2016
6. Seed coat morphology of the genus Juncus L. (Juncaceae) and its systematic significance in Northeast of Iran
- Author
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Ahmadpour, R., primary, Vaezi, J., additional, Bahrami, A., additional, and Memariani, F., additional
- Published
- 2012
- Full Text
- View/download PDF
7. Application Morphometric and taxonomic study of the genus Carex L. (Cyperaceae) in Northeast of Iran
- Author
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Hejazi, J., primary, Bahrami, A., additional, Vaezi, J., additional, Memariani, F., additional, and Joharchi, M., additional
- Published
- 2012
- Full Text
- View/download PDF
8. 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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9. Ethnobotanical study of wild edible plants in the mountainous regions of Semnan Province, Iran.
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Jalali M, Abedi M, Memariani F, and Ghorbani A
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- Iran, Humans, Male, Female, Middle Aged, Adult, Aged, Ecosystem, Plants, Edible classification, Ethnobotany
- Abstract
In mountainous areas, wild edible plants are an important part of the local diet. Climate change and anthropogenic activities have profound effects on wild edible plants in these areas. Ethnobotanical studies are important for understanding the use patterns and harvest impacts on these plants. In this regard, the Shahrood region, with its diverse historical/ethnic background, is an appropriate starting point to investigate exploitation patterns and impacts of harvest of wild edible plants. During 2021-2022, ethnobotanical surveys were conducted in 12 villages in the region using semi-structured interviews and participatory observations. Data collection included assessing wild edible plant species diversity, their habitats, collection time and quantities, plant parts used and methods of consumption and preparation. The data were analyzed using use report indicators, relative frequency of citations, and use value (UV). A total of 1086 use reports were documented from a total of 44 interviews. A total of 67 wild species (66 plants and 1 fungus) belonging to 54 genera and 24 families were used as edible in the study area. Rosaceae (9 species), Apiaceae (8), Lamiaceae (8), Asteraceae (7), and Amaryllidaceae (5) were the families with the most reported species. Allium (5 species) was the most diverse genus in terms of species diversity. Herbs were the most commonly used life form (79.1%), followed by shrubs (13.4%) and trees (6%). The most consumed plant parts were young leaves (25%) and young aerial parts (21.4%). There were 13 use categories identified. The majority of edible plants were collected in April-May, mainly from areas nearby villages (37.7%) and rangelands (33.7%). The most important edible plants in the study area were Allium iranicum (Wendelbo) Wendelbo (UV = 1.7), Mentha longifolia (L.) Huds. (1.5), Allium umbilicatum Boiss. (1.47), Tragopogon graminifolius DC. (1.38), Lepidium draba L. (1.27), Urtica dioica L. (1.18), Falcaria vulgaris Bernh. (1.13), Malva neglecta Wallr. (1.11) and Eremurus sp. (1.09). Our results showed diverse and valuable knowledge for wild edible plants in this region, which should be considered in the conservation and management plans in the region., (© 2024. The Author(s).)
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- 2024
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10. Relative contributions of taxonomic and functional diversity to the assembly of plant communities hosting endemic Dianthus species in a mountain steppe.
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Behroozian M, Pierce S, Ejtehadi H, Memariani F, Rafiee F, and Joharchi MR
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- Benchmarking, Biological Evolution, Droughts, Soil, Dianthus, Rosaceae
- Abstract
Plant community assembly is the outcome of long-term evolutionary events (evident as taxonomic diversity; TD) and immediate adaptive fitness (functional diversity; FD); a balance expected to shift in favour of FD in 'harsh' habitats under intense selection pressures. We compared TD and FD responses along climatic and edaphic gradients for communities of two species (Dianthus pseudocrinitus and D. polylepis) endemic to the montane steppes of the Khorassan-Kopet Dagh floristic province, NE Iran. 75 plots at 15 sites were used to relate TD and FD to environmental gradients. In general, greater TD was associated with variation in soil factors (potassium, lime, organic matter contents), whereas FD was constrained by aridity (drought adaptation). Crucially, even plant communities hosting different subspecies of D. polylepis responded differently to aridity: D. polylepis subsp. binaludensis communities included a variety of broadly stress-tolerant taxa with no clear environmental response, but TD of D. polylepis subsp. polylepis communities was directly related to precipitation, with consistently low FD reflecting a few highly specialized stress-tolerators. Integrating taxonomic and functional diversity metrics is essential to understand the communities hosting even extremely closely related taxa, which respond idiosyncratically to climate and soil gradients., (© 2024. The Author(s).)
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- 2024
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11. Does the intensive grazing and aridity change the relations between the dominant shrub Artemisia kopetdaghensis and plants under its canopies?
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Rahmanian S, Ejtehadi H, Farzam M, Hejda M, Memariani F, and Pyšek P
- Abstract
The interspecific plant interactions along grazing and aridity stress gradients represent a major research issue in plant ecology. However, the combined effects of these two factors on plant-plant interactions have been poorly studied in the northeast of Iran. To fill this knowledge gap, 144 plots were established in 12 study sites with different grazing intensities (high vs. low) and climatic characteristics (arid vs. semiarid) in northeastern Iran. A dominant shrub, Artemisia kopetdaghensis , was selected as the model species. Further, we studied changes in plant life strategies along the combined grazing and aridity stress gradients. In this study, we used relative interaction indices calculated for species richness, Shannon diversity, and species cover to determine plant-plant interactions using linear mixed-effect models (LMM). The indicator species analysis was used to identify the indicator species for the undercanopy of shrub and for the adjacent open areas. The combined effects of grazing and aridity affected the plant-plant interactions and plant life strategies (CSR) of indicator species. A. kopetdaghensis showed the highest facilitation effect under high stress conditions (high grazing, high aridity), which turned into competition under the low stress conditions (low grazing, low aridity). In the arid region, the canopy of the shrub protected ruderals, annual forbs, and grasses in both high and low grazing intensities. In the semiarid region and high grazing intensity (low aridity/high grazing), the shrubs protected mostly perennial forbs with C-strategy. Our findings highlight the importance of context-dependent shrub management to restore the vegetation damaged by the intensive grazing., Competing Interests: None declared., (© 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
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- 2021
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12. Unpalatable plants induce a species-specific associational effect on neighboring communities.
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Erfanian MB, Memariani F, Atashgahi Z, Mesdaghi M, Saeedi M, Darrudi M, Hamedian M, Hosseini S, and Ejtehadi H
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- Agriculture, Animals, Iran, Phylogeny, Poaceae, Principal Component Analysis, Sheep, Species Specificity, Biodiversity, Ecosystem, Euphorbia physiology, Feeding Behavior physiology, Grassland, Herbivory physiology
- Abstract
In grazing conditions, unpalatable species may induce either associational defense or neighbor contrast susceptibility in neighboring communities. Using surveys from eight grasslands, we tested whether various unpalatable species have the same impacts on neighboring communities in response to grazing. The studied unpalatable species were: Phlomis cancellata (an unpalatable nonpoisonous plant), Euphorbia boissieriana, E. microsciadia (poisonous plants), and Seseli transcaucasicum (a highly poisonous plant). Our results showed that, in the ungrazed grasslands, communities containing P. cancellata had lower biodiversity than communities without it. In the moderately- and heavily grazed grasslands, P. cancellata induced associational defense in the neighboring communities. In heavily grazed grasslands, both Euphorbia species promoted neighbor contrast susceptibility in the neighboring communities. Similarly, S. transcaucasicum in a heavily grazed grassland, induced neighbor contrast susceptibility. Different responses of plant community vulnerability among the studied unpalatable plants might be due to herbivore different foraging decisions. Accordingly, grazers selectively choose from other patches when facing P. cancellata and other plant individuals when there is a poisonous plant in a patch. Our results suggested that grazing intensity may not substantially affect the foraging decisions of sheep and goats in response to unpalatable species. We recommend monitoring the abundance of poisonous species to maintain the sustainable use of grasslands., (© 2021. The Author(s).)
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- 2021
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13. Predicting range shifts of three endangered endemic plants of the Khorassan-Kopet Dagh floristic province under global change.
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Erfanian MB, Sagharyan M, Memariani F, and Ejtehadi H
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- Afghanistan, Climate Change, Ecosystem, Iran, Models, Biological, Nepeta, Turkmenistan, Endangered Species, Euphorbia, Lamiaceae
- Abstract
Endemic plants of the Khorassan-Kopet Dagh (KK) floristic province in northeastern Iran, southern Turkmenistan, and northwestern Afghanistan are often rare and range-restricted. Because of these ranges, plants in the KK are vulnerable to the effects of climate change. Species distribution modelling (SDM) can be used to assess the vulnerability of species under climate change. Here, we evaluated range size changes for three (critically) endangered endemic species that grow at various elevations (Nepeta binaloudensis, Phlomoides binaludensis, and Euphorbia ferdowsiana) using species distribution modelling. Using the HadGEM2-ES general circulation model and two Representative Concentration Pathways Scenarios (RCP 2.6 and RCP 8.5), we predicted potential current and future (2050 and 2070) suitable habitats for each species. The ensemble model of nine algorithms was used to perform this prediction. Our results indicate that while two of species investigated would benefit from range expansion in the future, P. binaludensis will experience range contraction. The range of E. ferdowsiana will remain limited to the Binalood mountains, but the other species will have suitable habitats in mountain ranges across the KK. Using management efforts (such as fencing) with a focus on providing elevational migration routes at local scales in the KK is necessary to conserve these species. Additionally, assisted migration among different mountains in the KK would be beneficial to conserve these plants. For E. ferdowsiana, genetic diversity storage employing seed banks and botanical garden preservation should be considered.
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- 2021
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14. Climate change influences on the potential distribution of Dianthus polylepis Bien. ex Boiss. (Caryophyllaceae), an endemic species in the Irano-Turanian region.
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Behroozian M, Ejtehadi H, Peterson AT, Memariani F, and Mesdaghi M
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- Altitude, Caryophyllaceae classification, Caryophyllaceae physiology, Conservation of Natural Resources, Demography, Dianthus classification, Ecosystem, Endangered Species, Geography, Iran, Spatial Analysis, Turkmenistan, Climate Change, Dianthus physiology
- Abstract
Endemic and restricted-range species are considered to be particularly vulnerable to the effects of environmental change, which makes assessing likely climate change effects on geographic distributions of such species important to the development of integrated conservation strategies. Here, we determined distributional patterns for an endemic species of Dianthus (Dianthus polylepis) in the Irano-Turanian region using a maximum-entropy algorithm. In total, 70 occurrence points and 19 climatic variables were used to estimate the potential distributional area under current conditions and two future representative concentration pathway (RCP2.6 and RCP8.5) scenarios under seven general circulation models for 2050. Mean diurnal range, iso-thermality, minimum temperature of coldest quarter, and annual precipitation were major factors that appeared to structure the distribution of the species. Most current potential suitable areas were located in montane regions. Model transfers to future-climate scenarios displayed upward shifts in elevation and northward shifts geographically for the species. Our results can be used to define high-priority areas in the Irano-Turanian region for conservation management plans for this species and can offer a template for analyses of other endangered and threatened species in the region., Competing Interests: The authors have no competing interests.
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- 2020
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15. Are endemic species necessarily ecological specialists? Functional variability and niche differentiation of two threatened Dianthus species in the montane steppes of northeastern Iran.
- Author
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Behroozian M, Ejtehadi H, Memariani F, Pierce S, and Mesdaghi M
- Subjects
- Environment, Geography, Iran, Biodiversity, Dianthus, Ecosystem
- Abstract
Endemic species are believed to converge on narrow ranges of traits, with rarity reflecting adaptation to specific environmental regimes. We hypothesized that endemism is characterized by limited trait variability and environmental tolerances in two Dianthus species (Dianthus pseudocrinitus and Dianthus polylepis) endemic to the montane steppes of northeastern Iran. We measured leaf functional traits and calculated Grime's competitor/stress-tolerator/ruderal (CSR) adaptive strategies for these and co-occurring species in seventy-five 25-m
2 quadrats at 15 sites, also measuring a range of edaphic, climatic, and topographic parameters. While plant communities converged on the stress-tolerator strategy, D. pseudocrinitus exhibited functional divergence from S- to R-selected (C:S:R = 12.0:7.2:80.8% to 6.8:82.3:10.9%). Canonical correspondence analysis, in concert with Pearson's correlation coefficients, suggested the strongest associations with elevation, annual temperature, precipitation seasonality, and soil fertility. Indeed, variance (s2 ) in R- and S-values for D. pseudocrinitus at two sites was exceptionally high, refuting the hypothesis of rarity via specialization. Rarity, in this case, is probably related to recent speciation by polyploidy (neoendemism) and dispersal limitation. Dianthus polylepis, in contrast, converged towards stress-tolerance. 'Endemism' is not synonymous with 'incapable', and polyploid neoendemics promise to be particularly responsive to conservation.- Published
- 2020
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16. Effects of livestock grazing on soil, plant functional diversity, and ecological traits vary between regions with different climates in northeastern Iran.
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Rahmanian S, Hejda M, Ejtehadi H, Farzam M, Memariani F, and Pyšek P
- Abstract
Understanding the responses of vegetation characteristics and soil properties to grazing in different precipitation regimes is useful for the management of rangelands, especially in the arid regions. In northeastern Iran, we studied the responses of vegetation to livestock grazing in three regions with different climates: arid, semiarid, and subhumid. In each region, we selected 6-7 pairwise sampling areas of high versus low grazing intensity and six traits of the present species were recorded on 1 m
2 plots-five grazed and five ungrazed in each area. The overall fertility was compared using the dissimilarity analysis, and linear mixed-effect models were used to compare the individual fertility parameters, functional diversity indices, and species traits between the plots with high and low grazing intensity and between the climatic regions. Both climate and grazing, as well as their interaction, affected fertility parameters, functional diversity indices, and the representation of species traits. Grazing reduced functional evenness, height of the community, the representation of annuals, but increased the community leaf area. In the subhumid region, grazing also reduced functional richness. Further, grazing decreased the share of annual species in the semiarid region and seed mass in the arid region. Larger leaf area and seed mass, smaller height and lower share of annuals were associated with intensive grazing. Species with large LA and seed mass, lower height and perennials can be therefore presumed to tolerate trampling and benefit from high nutrient levels, associated with intensive grazing. By providing a detailed view on the impacts of overgrazing, this study highlights the importance of protection from grazing as an effective management tool for maintaining the pastoral ecosystems. In general, the composition of plant traits across the pastures of northeastern Iran was more affected by intensive grazing than by the differences in climate., Competing Interests: None declared.- Published
- 2019
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17. Plant community responses to environmentally friendly piste management in northeast Iran.
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Erfanian MB, Ejtehadi H, Vaezi J, Moazzeni H, Memariani F, and Firouz-Jahantigh M
- Abstract
It is well-known that pistes have adverse effects on alpine ecosystems. Previous studies urged that pistes should be installed and managed in the ways to minimize negative impacts on natural habitats. However, the impacts of this type of management on the plant communities are not widely studied. The aim of this study was to examine species composition and biodiversity changes in an environmentally friendly managed piste in northeast Iran. This piste has been established in a previously degraded alpine landscape. For the vegetation survey, we sampled 44 within and 28 off-piste plots. Except for the piste management, other environmental factors were similar between the piste and off-piste plots. Dominant species were determined, and variation in community composition of the two areas was visualized. Also, native species, phylogenetic, and functional Hill diversity of the two areas were compared. The results showed that there was a moderate differentiation in the species composition of the piste and off-piste. Two palatable species (i.e., Bupleurum falcatum and Melica persica ) were dominant in the piste and were not recorded in the off-piste. The diversity calculations results showed that the species diversity of the piste was higher than that of the off-piste. Phylogenetic diversity at the level of frequent and dominant plants showed a similar result. The piste had a higher functional diversity in terms of functional richness, and functional diversity of frequent and dominant plants. Our findings imply, after 10 years, species, phylogenetic, and functional diversity of the piste is significantly improved. Environmentally friendly piste management (EFPM) induced species composition change that led to emerging species that were absent in the off-piste. We can conclude that EFPM led to restoration of a degraded landscape. Long-term impacts of EFPM are still unknown, therefore, caution should be undertaken regarding the installation of new environmentally friendly pistes in other areas., Competing Interests: None declared.
- Published
- 2019
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