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1. A Case Study on the Impact of Coppicing on Small Mammal Conservation in Italy

Author

Martini, Matilde, primary, Patelli, Sara, additional, Cassola, Francesca Maura, additional, Iaria, Jacopo, additional, Livornese, Martina, additional, Prandelli, Sofia, additional, Santi, Francesco, additional, Rocchini, Duccio, additional, Muraro, Martina, additional, Angelini, Pierangela, additional, Caricato, Gaetano, additional, Palma, Achille, additional, Carli, Emanuela, additional, Casella, Laura, additional, Miraglia, Giuseppe, additional, Pretto, Francesca, additional, and Gatti, Roberto Cazzolla, additional

Published
2024
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3. Robotic Monitoring of Habitats: The Natural Intelligence Approach

Author

Angelini, Franco, primary, Angelini, Pierangela, additional, Angiolini, Claudia, additional, Bagella, Simonetta, additional, Bonomo, Fabio, additional, Caccianiga, Marco, additional, Santina, Cosimo Della, additional, Gigante, Daniela, additional, Hutter, Marco, additional, Nanayakkara, Thrishantha, additional, Remagnino, Paolo, additional, Torricelli, Diego, additional, and Garabini, Manolo, additional

Published
2023
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4. European Vegetation Archive (EVA): an integrated database of European vegetation plots

Author

Chytrý, Milan, Hennekens, Stephan M., Jiménez-Alfaro, Borja, Knollová, Ilona, Dengler, Jürgen, Jansen, Florian, Landucci, Flavia, Schaminée, Joop H.J., Aćić, Svetlana, Agrillo, Emiliano, Ambarli, Didem, Angelini, Pierangela, Apostolova, Iva, Attorre, Fabio, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Botta-Dukát, Zoltán, Brisse, Henry, Campos, Juan Antonio, Carlón, Luis, Čarni, Andraž, Casella, Laura, Csiky, János, Ćušterevska, Renata, Stevanović, Zora Dajić, Danihelka, Jiří, De Bie, Els, de Ruffray, Patrice, DeSanctis, Michele, Dickoré, W. Bernhard, Dimopoulos, Panayotis, Dubyna, Dmytro, Dziuba, Tetiana, Ejrnæs, Rasmus, Ermakov, Nikolai, Ewald, Jörg, Fanelli, Giuliano, Fernández-González, Federico, FitzPatrick, Úna, Font, Xavier, García-Mijangos, Itziar, Gavilán, Rosario G., Golub, Valentin, Guarino, Riccardo, Haveman, Rense, Indreica, Adrian, Gürsoy, Deniz Işik, Jandt, Ute, Janssen, John A.M., Jiroušek, Martin, Kącki, Zygmunt, Kavgaci, Ali, Kleikamp, Martin, Kolomiychuk, Vitaliy, Ćuk, Mirjana Krstivojević, Krstonošić, Daniel, Kuzemko, Anna, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vassiliy, Michalcová, Dana, Moeslund, Jesper Erenskjold, Onyshchenko, Viktor, Pedashenko, Hristo, Pérez-Haase, Aaron, Peterka, Tomáš, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez-Rojo, Maria Pilar, Rodwell, John S., Rogova, Tatiana, Ruprecht, Eszter, Rūsiņa, Solvita, Seidler, Gunnar, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Sopotlieva, Desislava, Stančić, Zvjezdana, Svenning, Jens-Christian, Swacha, Grzegorz, Tsiripidis, Ioannis, Dan Turtureanu, Pavel, Uğurlu, Emin, Uogintas, Domas, Valachovič, Milan, Vashenyak, Yulia, Vassilev, Kiril, Venanzoni, Roberto, Virtanen, Risto, Weekes, Lynda, Willner, Wolfgang, Wohlgemuth, Thomas, and Yamalov, Sergey

Published
2016

5. Diversity of European habitat types is correlated with geography more than climate and human pressure

Author

Cervellini, Marco, Di Musciano, Michele, Zannini, Piero, Fattorini, Simone, Jiménez‐Alfaro, Borja, Agrillo, Emiliano, Attorre, Fabio, Angelini, Pierangela, Beierkuhnlein, Carl, Casella, Laura, Field, Richard, Fischer, Jan‐Christopher, Genovesi, Piero, Hoffmann, Samuel, Irl, Severin D. H., Nascimbene, Juri, Rocchini, Duccio, Steinbauer, Manuel, Vetaas, Ole R., Chiarucci, Alessandro, European Commission, Cervellini M., Di Musciano M., Zannini P., Fattorini S., Jimenez-Alfaro B., Agrillo E., Attorre F., Angelini P., Beierkuhnlein C., Casella L., Field R., Fischer J.-C., Genovesi P., Hoffmann S., Irl S.D.H., Nascimbene J., Rocchini D., Steinbauer M., Vetaas O.R., and Chiarucci A.

Subjects
anthropogenic impact, Ecology, Habitat richness, Anthropogenic impact, Terrain ruggedness index, Biodiversity conservation, Environmental predictors, environmental predictor, Social Sciences - Geography, Geography: Geosciences, habitat richne, terrain ruggedness index, habitat richness, European habitat directive, biodiversity conservation, environmental predictors, QH540-549.5, Ecology, Evolution, Behavior and Systematics, Research Articles, Nature and Landscape Conservation, Research Article
Abstract

Habitat richness, that is, the diversity of ecosystem types, is a complex, spatially explicit aspect of biodiversity, which is affected by bioclimatic, geographic, and anthropogenic variables. The distribution of habitat types is a key component for understanding broad‐scale biodiversity and for developing conservation strategies. We used data on the distribution of European Union (EU) habitats to answer the following questions: (i) how do bioclimatic, geographic, and anthropogenic variables affect habitat richness? (ii) Which of those factors is the most important? (iii) How do interactions among these variables influence habitat richness and which combinations produce the strongest interactions? The distribution maps of 222 terrestrial habitat types as defined by the Natura 2000 network were used to calculate habitat richness for the 10 km × 10 km EU grid map. We then investigated how environmental variables affect habitat richness, using generalized linear models, generalized additive models, and boosted regression trees. The main factors associated with habitat richness were geographic variables, with negative relationships observed for both latitude and longitude, and a positive relationship for terrain ruggedness. Bioclimatic variables played a secondary role, with habitat richness increasing slightly with annual mean temperature and overall annual precipitation. We also found an interaction between anthropogenic variables, with the combination of increased landscape fragmentation and increased population density strongly decreasing habitat richness. This is the first attempt to disentangle spatial patterns of habitat richness at the continental scale, as a key tool for protecting biodiversity. The number of European habitats is related to geography more than climate and human pressure, reflecting a major component of biogeographical patterns similar to the drivers observed at the species level. The interaction between anthropogenic variables highlights the need for coordinated, continental‐scale management plans for biodiversity conservation., We modeled EU habitat richness at continental scale as a function of geographic, climatic, and anthropogenic variables. We found geographical variables were by far the most strongly correlated with habitat richness, followed by climate. However, anthropogenic variables gained importance when considering their interactions, with important implications for conservation planning.

Published
2021

7. Diversity of EU habitat types is correlated with geography more than climate and human pressure

Author

Cervellini, Marco, primary, Musciano, Michele Di, additional, Zannini, Piero, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Angelini, Pierangela, additional, Beierkuhnlein, Carl, additional, Casella, Laura, additional, Field, Richard, additional, Fischer, Jan-Christopher, additional, Genovesi, Piero, additional, Hoffmann, Samuel, additional, Irl, Severin D. H., additional, Nascimbene, Juri, additional, Rocchini, Duccio, additional, Steinbauer, Manuel, additional, Vetaas, Ole Reidar, additional, and Chiarucci, Alessandro, additional

Published
2021
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8. A grid-based map for the biogeographical regions of Europe

Author

Cervellini, Marco, Zannini, Piero, Di Musciano, Michele, Fattorini, Simone, Rocchini, Duccio, Field, Richard, Vetaas, Ole R., Irl, Severin D.H., Beierkuhnlein, Carl, Hoffmann, Samuel, Fischer, Jan Christopher, Casella, Laura, Angelini, Pierangela, Genovesi, Piero, Nascimbene, Juri, and Chiarucci, Alessandro

Abstract

© Pensoft Publishers. Background Biogeographical units are widely adopted in ecological research and nature conservation management, even though biogeographical regionalisation is still under scientific debate. The European Environment Agency provided an official map of the European Biogeographical Regions (EBRs), which contains the official boundaries used in the Habitats and Birds Directives. However, these boundaries bisect cells in the official EU 10 km x 10 km grid used for many purposes, including reporting species and habitat data, meaning that 6881 cells overlap two or more regions. Therefore, superimposing the EBRs vector map over the grid creates ambiguities in associating some cells with European Biogeographical Regions. New information To provide an operational tool to unambiguously define the boundaries of the eleven European Biogeographical Regions, we provide a specifically developed raster map of Grid-Based European Biogeographical Regions (GB-EBRs). In this new map, the borders of the EBRs are reshaped to coherently match the standard European 10 km x 10 km grid imposed for reporting tasks by Article 17 of the Habitats Directive and used for many other datasets. We assign each cell to the EBR with the largest area within the cell.

Published
2020

9. Habitat type and island identity as drivers of community assembly in an archipelago

Author

Chiarucci, Alessandro, primary, Buldrini, Fabrizio, additional, Cervellini, Marco, additional, Guarino, Riccardo, additional, Caccianiga, Marco, additional, Foggi, Bruno, additional, Viciani, Daniele, additional, Lazzaro, Lorenzo, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Cerabolini, Bruno Enrico Leone, additional, Pasta, Salvatore, additional, Enea, Mirko, additional, and Zannini, Piero, additional

Published
2020
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10. Supplementary material 1 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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11. Figure 1 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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12. Supplementary material 3 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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13. Figure 3 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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14. Supplementary material 2 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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15. Figure 2 from: Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R. Vetaas O, Irl SD.H, Beierkuhnlein C, Hoffmann S, Fischer J-C, Casella L, Angelini P, Genovesi P, Nascimbene J, Chiarucci A (2020) A grid-based map for the Biogeographical Regions of Europe. Biodiversity Data Journal 8: e53720. https://doi.org/10.3897/BDJ.8.e53720

Author

Cervellini, Marco, primary, Zannini, Piero, additional, Di Musciano, Michele, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Rocchini, Duccio, additional, Field, Richard, additional, R. Vetaas, Ole, additional, Irl, Severin D.H., additional, Beierkuhnlein, Carl, additional, Hoffmann, Samuel, additional, Fischer, Jan-Christopher, additional, Casella, Laura, additional, Angelini, Pierangela, additional, Genovesi, Piero, additional, Nascimbene, Juri, additional, and Chiarucci, Alessandro, additional

Published
2020
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16. Plant assemblages and conservation status of habitats of Community interest (Directive 92/43/EEC): Definitions and concepts

Author

Angelini, Pierangela, Chiarucci, Alessandro, Nascimbene, Juri, Cerabolini, Bruno E. L., Fratte, Michele Dalle, Casella, Laura, Angelini, Pierangela, Chiarucci, Alessandro, Nascimbene, Juri, Cerabolini, Bruno E.L., Fratte, Michele Dalle, and Casella, Laura

Subjects
Planning and Development, Geography, Monitoring, Ecology, Evolution, Ecological Modeling, Habitat types, Typical species, Geography, Planning and Development, Italy, Ecology, Evolution, Behavior and Systematics, Habitat type, Ecology, Evolution, Behavior and Systematic, Typical specie, Behavior and Systematics
Abstract

The article 17 of the 92/43/EEC Habitats Directive imposes to the Members States to produce periodic reports (every 6 years) on the conservation status of habitats and species at national level. In this context, in view of preparing the 4th National Report, the Italian National Institute for Environmental Protection and Research (ISPRA) drafted the national guidelines for habitats monitoring, focusing on data collection at site level. The intention of this paper is to provide an overview about the development, in Italy, on Habitat types monitoring methodologies, in particular detailing the current state-of-the-art for the parameter structure and functions, which is the most controversial among those required by the Habitats Directive for the assessment of conservation status. The paper concludes that, although habitat types monitoring programs could be carried out using individual species of fauna and/or flora, vegetation surveys represent the best choice as it allows to collect standardised and objective data, useful for the definition of more specific indicators, first of all the presence and abundance of typical species.

Published
2018

17. sPlot – A new tool for global vegetation analyses

Author

Bruelheide, Helge, primary, Dengler, Jürgen, additional, Jiménez‐Alfaro, Borja, additional, Purschke, Oliver, additional, Hennekens, Stephan M., additional, Chytrý, Milan, additional, Pillar, Valério D., additional, Jansen, Florian, additional, Kattge, Jens, additional, Sandel, Brody, additional, Aubin, Isabelle, additional, Biurrun, Idoia, additional, Field, Richard, additional, Haider, Sylvia, additional, Jandt, Ute, additional, Lenoir, Jonathan, additional, Peet, Robert K., additional, Peyre, Gwendolyn, additional, Sabatini, Francesco Maria, additional, Schmidt, Marco, additional, Schrodt, Franziska, additional, Winter, Marten, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Alvarez, Miguel, additional, Ambarlı, Didem, additional, Angelini, Pierangela, additional, Apostolova, Iva, additional, Arfin Khan, Mohammed A. S., additional, Arnst, Elise, additional, Attorre, Fabio, additional, Baraloto, Christopher, additional, Beckmann, Michael, additional, Berg, Christian, additional, Bergeron, Yves, additional, Bergmeier, Erwin, additional, Bjorkman, Anne D., additional, Bondareva, Viktoria, additional, Borchardt, Peter, additional, Botta‐Dukát, Zoltán, additional, Boyle, Brad, additional, Breen, Amy, additional, Brisse, Henry, additional, Byun, Chaeho, additional, Cabido, Marcelo R., additional, Casella, Laura, additional, Cayuela, Luis, additional, Černý, Tomáš, additional, Chepinoga, Victor, additional, Csiky, János, additional, Curran, Michael, additional, Ćušterevska, Renata, additional, Dajić Stevanović, Zora, additional, De Bie, Els, additional, de Ruffray, Patrice, additional, De Sanctis, Michele, additional, Dimopoulos, Panayotis, additional, Dressler, Stefan, additional, Ejrnæs, Rasmus, additional, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, additional, Enquist, Brian, additional, Ewald, Jörg, additional, Fagúndez, Jaime, additional, Finckh, Manfred, additional, Font, Xavier, additional, Forey, Estelle, additional, Fotiadis, Georgios, additional, García‐Mijangos, Itziar, additional, de Gasper, André Luis, additional, Golub, Valentin, additional, Gutierrez, Alvaro G., additional, Hatim, Mohamed Z., additional, He, Tianhua, additional, Higuchi, Pedro, additional, Holubová, Dana, additional, Hölzel, Norbert, additional, Homeier, Jürgen, additional, Indreica, Adrian, additional, Işık Gürsoy, Deniz, additional, Jansen, Steven, additional, Janssen, John, additional, Jedrzejek, Birgit, additional, Jiroušek, Martin, additional, Jürgens, Norbert, additional, Kącki, Zygmunt, additional, Kavgacı, Ali, additional, Kearsley, Elizabeth, additional, Kessler, Michael, additional, Knollová, Ilona, additional, Kolomiychuk, Vitaliy, additional, Korolyuk, Andrey, additional, Kozhevnikova, Maria, additional, Kozub, Łukasz, additional, Krstonošić, Daniel, additional, Kühl, Hjalmar, additional, Kühn, Ingolf, additional, Kuzemko, Anna, additional, Küzmič, Filip, additional, Landucci, Flavia, additional, Lee, Michael T., additional, Levesley, Aurora, additional, Li, Ching‐Feng, additional, Liu, Hongyan, additional, Lopez‐Gonzalez, Gabriela, additional, Lysenko, Tatiana, additional, Macanović, Armin, additional, Mahdavi, Parastoo, additional, Manning, Peter, additional, Marcenò, Corrado, additional, Martynenko, Vassiliy, additional, Mencuccini, Maurizio, additional, Minden, Vanessa, additional, Moeslund, Jesper Erenskjold, additional, Moretti, Marco, additional, Müller, Jonas V., additional, Munzinger, Jérôme, additional, Niinemets, Ülo, additional, Nobis, Marcin, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onyshchenko, Viktor, additional, Overbeck, Gerhard E., additional, Ozinga, Wim A., additional, Pauchard, Anibal, additional, Pedashenko, Hristo, additional, Peñuelas, Josep, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Petřík, Petr, additional, Phillips, Oliver L., additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Revermann, Rasmus, additional, Rodwell, John, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Samimi, Cyrus, additional, Schaminée, Joop H.J., additional, Schmiedel, Ute, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Smyth, Anita, additional, Sop, Tenekwetche, additional, Sopotlieva, Desislava, additional, Sparrow, Ben, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Tang, Zhiyao, additional, Tsiripidis, Ioannis, additional, Turtureanu, Pavel Dan, additional, Uğurlu, Emin, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vanselow, Kim André, additional, Vashenyak, Yulia, additional, Vassilev, Kiril, additional, Vélez‐Martin, Eduardo, additional, Venanzoni, Roberto, additional, Vibrans, Alexander Christian, additional, Violle, Cyrille, additional, Virtanen, Risto, additional, von Wehrden, Henrik, additional, Wagner, Viktoria, additional, Walker, Donald A., additional, Wana, Desalegn, additional, Weiher, Evan, additional, Wesche, Karsten, additional, Whitfeld, Timothy, additional, Willner, Wolfgang, additional, Wiser, Susan, additional, Wohlgemuth, Thomas, additional, Yamalov, Sergey, additional, Zizka, Georg, additional, and Zverev, Andrei, additional

Published
2019
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18. Habitat type and island identity as drivers of community assembly in an archipelago.

Author

Chiarucci, Alessandro, Buldrini, Fabrizio, Cervellini, Marco, Guarino, Riccardo, Caccianiga, Marco, Foggi, Bruno, Viciani, Daniele, Lazzaro, Lorenzo, Casella, Laura, Angelini, Pierangela, Cerabolini, Bruno Enrico Leone, Pasta, Salvatore, Enea, Mirko, Zannini, Piero, and Bruun, Hans Henrik

Subjects
GROUP identity, IDENTITY (Psychology), ECOLOGICAL models, SPECIES diversity, ARCHIPELAGOES, ABSOLUTE value, HABITAT partitioning (Ecology)
Abstract

Aim: Ecoinformatics offer new opportunity to test islands as biogeographic and ecological models. In this paper we predicted three hypotheses: (1) plot‐based data issuing from vegetation surveys can be used to predict Island Species‐Area Relationships (ISARs) or island similarity; (2) the habitat area is an independent predictor of species richness patterns within island; (3) species richness and composition are more dependent on habitat type than island identity in land‐bridge islands. Area: Tuscan Archipelago, Italy. Methods: We assembled a database of all the vegetation plots available for the archipelago. For the first hypothesis we calculated ISARs, using Arrhenius model, and Beta Diversity, using Jaccard dissimilarity, on both published floras and cumulative plot data. For the second hypothesis, we modelled Habitat Species‐Area Relationships (HSARs), using Arrhenius model. For the third hypothesis, we used additive partitioning of species richness, NMDS and PERMANOVA. Results: Island Species‐Area Relationships based on plot data mirrored those on published floras, but absolute values of c and z parameters were different. Beta diversity based on plot data resembled those of published floras, but was higher. Species richness was significantly related to the habitat area. The total species richness of the archipelago was linked to large scale drivers, such as island identity, while plot species composition was driven by both habitat type and island identity. Conclusions: Data assembled issuing from vegetation surveys are useful to describe biogeographic patterns. Species richness in the archipelago is driven by spatial factors such as the amount of habitats and the differences among islands, while the species composition of local assemblages is largely driven by habitat filters rather than by island identity, as expected in land‐bridge islands. [ABSTRACT FROM AUTHOR]

Published
2021
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19. European Vegetation Archive (EVA): an integrated database of European vegetation plots

Author

Chytrý, Milan, primary, Hennekens, Stephan M., additional, Jiménez‐Alfaro, Borja, additional, Knollová, Ilona, additional, Dengler, Jürgen, additional, Jansen, Florian, additional, Landucci, Flavia, additional, Schaminée, Joop H.J., additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Ambarlı, Didem, additional, Angelini, Pierangela, additional, Apostolova, Iva, additional, Attorre, Fabio, additional, Berg, Christian, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Botta‐Dukát, Zoltán, additional, Brisse, Henry, additional, Campos, Juan Antonio, additional, Carlón, Luis, additional, Čarni, Andraž, additional, Casella, Laura, additional, Csiky, János, additional, Ćušterevska, Renata, additional, Dajić Stevanović, Zora, additional, Danihelka, Jiří, additional, De Bie, Els, additional, de Ruffray, Patrice, additional, De Sanctis, Michele, additional, Dickoré, W. Bernhard, additional, Dimopoulos, Panayotis, additional, Dubyna, Dmytro, additional, Dziuba, Tetiana, additional, Ejrnæs, Rasmus, additional, Ermakov, Nikolai, additional, Ewald, Jörg, additional, Fanelli, Giuliano, additional, Fernández‐González, Federico, additional, FitzPatrick, Úna, additional, Font, Xavier, additional, García‐Mijangos, Itziar, additional, Gavilán, Rosario G., additional, Golub, Valentin, additional, Guarino, Riccardo, additional, Haveman, Rense, additional, Indreica, Adrian, additional, Işık Gürsoy, Deniz, additional, Jandt, Ute, additional, Janssen, John A.M., additional, Jiroušek, Martin, additional, Kącki, Zygmunt, additional, Kavgacı, Ali, additional, Kleikamp, Martin, additional, Kolomiychuk, Vitaliy, additional, Krstivojević Ćuk, Mirjana, additional, Krstonošić, Daniel, additional, Kuzemko, Anna, additional, Lenoir, Jonathan, additional, Lysenko, Tatiana, additional, Marcenò, Corrado, additional, Martynenko, Vassiliy, additional, Michalcová, Dana, additional, Moeslund, Jesper Erenskjold, additional, Onyshchenko, Viktor, additional, Pedashenko, Hristo, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Rodríguez‐Rojo, Maria Pilar, additional, Rodwell, John S., additional, Rogova, Tatiana, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Seidler, Gunnar, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Sopotlieva, Desislava, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Tsiripidis, Ioannis, additional, Turtureanu, Pavel Dan, additional, Uğurlu, Emin, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vashenyak, Yulia, additional, Vassilev, Kiril, additional, Venanzoni, Roberto, additional, Virtanen, Risto, additional, Weekes, Lynda, additional, Willner, Wolfgang, additional, Wohlgemuth, Thomas, additional, and Yamalov, Sergey, additional

Published
2015
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20. The use of large databases to characterize habitat types: the case of Quercus suberwoodlands in Europe

Author

Agrillo, Emiliano, Alessi, Nicola, Jiménez-Alfaro, Borja, Casella, Laura, Angelini, Pierangela, Argagnon, Olivier, Crespo, Guillermo, Fernández-González, Federico, Monteiro-Henriques, Tiago, Neto, Carlos, and Attorre, Fabio

Abstract

The conservation of habitat types has been recognized to be of relevant importance for the conservation of biodiversity and is a major concern in the European Union. With the 92/43/EEC Habitats Directive, the European Commission targeted these habitat types, which conservation must be ensured by Member States. In this context, the Habitat type 9330 “Quercus suberforests” is intended to ensure the conservation of cork oak woodlands in Europe. To support the enhancement of nature conservation policies, in this study we provide a classification of cork oak woodlands in Europe using a large vegetation database. We identify four major groups with clear biogeographic differences and characterize them by lists of indicator species. We also provide distribution maps based on occurrence data and the modelled potential area of distribution as an additional tool for conservation. This study offers a contribution to the comparative description of the European Q. suberwoodlands subtypes and to establish a protocol for habitat monitoring and assessment.

Published
2018
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22. sPlot : a new tool for global vegetation analyses

Author

Bruelheide, Helge, Dengler, Jürgen, Jiménez‐Alfaro, Borja, Purschke, Oliver, Hennekens, Stephan M., Chytrý, Milan, Pillar, Valério D., Jansen, Florian, Kattge, Jens, Sandel, Brody, Aubin, Isabelle, Biurrun, Idoia, Field, Richard, Haider, Sylvia, Jandt, Ute, Lenoir, Jonathan, Peet, Robert K., Peyre, Gwendolyn, Sabatini, Francesco Maria, Schmidt, Marco, Schrodt, Franziska, Winter, Marten, Aćić, Svetlana, Agrillo, Emiliano, Alvarez, Miguel, Ambarlı, Didem, Angelini, Pierangela, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arnst, Elise, Attorre, Fabio, Baraloto, Christopher, Beckmann, Michael, Berg, Christian, Bergeron, Yves, Bergmeier, Erwin, Bjorkman, Anne D., Bondareva, Viktoria, Borchardt, Peter, Botta‐Dukát, Zoltán, Boyle, Brad, Breen, Amy, Brisse, Henry, Byun, Chaeho, Cabido, Marcelo R., Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Curran, Michael, Ćušterevska, Renata, Dajić Stevanović, Zora, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dimopoulos, Panayotis, Dressler, Stefan, Ejrnæs, Rasmus, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fagúndez, Jaime, Finckh, Manfred, Font, Xavier, Forey, Estelle, Fotiadis, Georgios, García‐Mijangos, Itziar, Gasper, André Luis, Golub, Valentin, Gutierrez, Alvaro G., Hatim, Mohamed Z., He, Tianhua, Higuchi, Pedro, Holubová, Dana, Hölzel, Norbert, Homeier, Jürgen, Indreica, Adrian, Işık Gürsoy, Deniz, Jansen, Steven, Janssen, John, Jedrzejek, Birgit, Jiroušek, Martin, Jürgens, Norbert, Kącki, Zygmunt, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Knollová, Ilona, Kolomiychuk, Vitaliy, Korolyuk, Andrey, Kozhevnikova, Maria, Kozub, Łukasz, Krstonošić, Daniel, Kühl, Hjalmar, Kühn, Ingolf, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lee, Michael T., Levesley, Aurora, Li, Ching‐Feng, Liu, Hongyan, Lopez‐Gonzalez, Gabriela, Lysenko, Tatiana, Macanović, Armin, Mahdavi, Parastoo, Manning, Peter, Marcenò, Corrado, Martynenko, Vassiliy, Mencuccini, Maurizio, Minden, Vanessa, Moeslund, Jesper Erenskjold, Moretti, Marco, Müller, Jonas V., Munzinger, Jérôme, Niinemets, Ülo, Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Ozinga, Wim A., Pauchard, Anibal, Pedashenko, Hristo, Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rodwell, John, Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schaminée, Joop H.J., Schmiedel, Ute, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smyth, Anita, Sop, Tenekwetche, Sopotlieva, Desislava, Sparrow, Ben, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Tang, Zhiyao, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Uğurlu, Emin, Uogintas, Domas, Valachovič, Milan, Vanselow, Kim André, Vashenyak, Yulia, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Wana, Desalegn, Weiher, Evan, Wesche, Karsten, Whitfeld, Timothy, Willner, Wolfgang, Wiser, Susan, Wohlgemuth, Thomas, Yamalov, Sergey, Zizka, Georg, and Zverev, Andrei

Subjects
580: Pflanzen (Botanik), sPlot, Ecoinformatics, 15. Life on land, 577: Ökologie
Abstract

Aims: Vegetation‐plot records provide information on the presence and cover or abundance of plants co‐occurring in the same community. Vegetation‐plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. Results: sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community‐weighted means and variances of traits using gap‐filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community‐weighted means of key traits. Conclusions: The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.

23. Habitat type and island identity as drivers of community assembly in an archipelago

Author

Piero Zannini, Riccardo Guarino, Laura Casella, Marco Caccianiga, Marco Cervellini, Mirko Enea, Lorenzo Lazzaro, Bruno Foggi, Alessandro Chiarucci, Daniele Viciani, Fabrizio Buldrini, Bruno Enrico Leone Cerabolini, Pierangela Angelini, Salvatore Pasta, Chiarucci A., Buldrini F., Cervellini M., Guarino R., Caccianiga M., Foggi B., Viciani D., Lazzaro L., Casella L., Angelini P., Cerabolini B.E.L., Pasta S., Enea M., Zannini P., Chiarucci, Alessandro, Buldrini, Fabrizio, Cervellini, Marco, Guarino, Riccardo, Caccianiga, Marco, Foggi, Bruno, Viciani, Daniele, Lazzaro, Lorenzo, Casella, Laura, Angelini, Pierangela, Cerabolini, Bruno Enrico Leone, Pasta, Salvatore, Enea, Mirko, and Zannini, Piero

Subjects
geography, geography.geographical_feature_category, Ecology, biogeographic patterns, islands, plot data, species-area relationships, Identity (social science), islands, Plant Science, species-area relationships, biogeographic patterns, Type (biology), Habitat, island, Settore BIO/03 - Botanica Ambientale E Applicata, Archipelago, biogeographic pattern, Ethnology, plot data
Abstract

Aim: Ecoinformatics offer new opportunity to test islands as biogeographic and eco- logical models. In this paper we predicted three hypotheses: (1) plot-based data issu- ing from vegetation surveys can be used to predict Island Species-Area Relationships (ISARs) or island similarity; (2) the habitat area is an independent predictor of species richness patterns within island; (3) species richness and composition are more de- pendent on habitat type than island identity in land-bridge islands. Area: Tuscan Archipelago, Italy. Methods: We assembled a database of all the vegetation plots available for the archi- pelago. For the first hypothesis we calculated ISARs, using Arrhenius model, and Beta Diversity, using Jaccard dissimilarity, on both published floras and cumulative plot data. For the second hypothesis, we modelled Habitat Species-Area Relationships (HSARs), using Arrhenius model. For the third hypothesis, we used additive partition- ing of species richness, NMDS and PERMANOVA. Results: Island Species-Area Relationships based on plot data mirrored those on pub- lished floras, but absolute values of c and z parameters were different. Beta diversity based on plot data resembled those of published floras, but was higher. Species rich- ness was significantly related to the habitat area. The total species richness of the archipelago was linked to large scale drivers, such as island identity, while plot species composition was driven by both habitat type and island identity. Conclusions: Data assembled issuing from vegetation surveys are useful to describe biogeographic patterns. Species richness in the archipelago is driven by spatial fac- tors such as the amount of habitats and the differences among islands, while the spe- cies composition of local assemblages is largely driven by habitat filters rather than by island identity, as expected in land-bridge islands.

Published
2021

24. A grid-based map for the Biogeographical Regions of Europe.

Author

Cervellini M, Zannini P, Di Musciano M, Fattorini S, Jiménez-Alfaro B, Rocchini D, Field R, R Vetaas O, Irl SDH, Beierkuhnlein C, Hoffmann S, Fischer JC, Casella L, Angelini P, Genovesi P, Nascimbene J, and Chiarucci A

Abstract

Background: Biogeographical units are widely adopted in ecological research and nature conservation management, even though biogeographical regionalisation is still under scientific debate. The European Environment Agency provided an official map of the European Biogeographical Regions (EBRs), which contains the official boundaries used in the Habitats and Birds Directives. However, these boundaries bisect cells in the official EU 10 km × 10 km grid used for many purposes, including reporting species and habitat data, meaning that 6881 cells overlap two or more regions. Therefore, superimposing the EBRs vector map over the grid creates ambiguities in associating some cells with European Biogeographical Regions., New Information: To provide an operational tool to unambiguously define the boundaries of the eleven European Biogeographical Regions, we provide a specifically developed raster map of Grid-Based European Biogeographical Regions (GB-EBRs). In this new map, the borders of the EBRs are reshaped to coherently match the standard European 10 km × 10 km grid imposed for reporting tasks by Article 17 of the Habitats Directive and used for many other datasets. We assign each cell to the EBR with the largest area within the cell.

Published
2020
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