20 results on '"Fuentes‐Lillo, Eduardo"'
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2. Going up the Andes: patterns and drivers of non-native plant invasions across latitudinal and elevational gradients
- Author
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Fuentes-Lillo, Eduardo, Lembrechts, Jonas J., Barros, Agustina, Aschero, Valeria, Bustamante, Ramiro O., Cavieres, Lohengrin A., Clavel, Jan, Herrera, Ileana, Jiménez, Alejandra, Tecco, Paula, Hulme, Philip E., Núñez, Martín A., Rozzi, Ricardo, García, Rafael A., Simberloff, Daniel, Nijs, Ivan, and Pauchard, Aníbal
- Published
- 2023
- Full Text
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3. Anthropogenic factors overrule local abiotic variables in determining non-native plant invasions in mountains
- Author
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Fuentes-Lillo, Eduardo, Lembrechts, Jonas J., Cavieres, Lohengrin A., Jiménez, Alejandra, Haider, Sylvia, Barros, Agustina, and Pauchard, Aníbal
- Published
- 2021
- Full Text
- View/download PDF
4. Roadside disturbance promotes plant communities with arbuscular mycorrhizal associations in mountain regions worldwide.
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Clavel, Jan, Lembrechts, Jonas J., Lenoir, Jonathan, Haider, Sylvia, McDougall, Keith, Nuñez, Martin A., Alexander, Jake, Barros, Agustina, Milbau, Ann, Seipel, Tim, Pauchard, Anibal, Fuentes‐Lillo, Eduardo, Ratier Backes, Amanda, Dar, Pervaiz, Reshi, Zafar A., Aleksanyan, Alla, Zong, Shengwei, Arevalo Sierra, José Ramón, Aschero, Valeria, and Verbruggen, Erik
- Subjects
MOUNTAIN ecology ,ECOLOGICAL disturbances ,ROADSIDE improvement ,ANTHROPOGENIC effects on nature ,GROUND cover plants ,ECOSYSTEMS ,PLANT communities - Abstract
We assessed the impact of road disturbances on the dominant mycorrhizal types in ecosystems at the global level and how this mechanism can potentially lead to lasting plant community changes. We used a database of coordinated plant community surveys following mountain roads from 894 plots in 11 mountain regions across the globe in combination with an existing database of mycorrhizal–plant associations in order to approximate the relative abundance of mycorrhizal types in natural and disturbed environments. Our findings show that roadside disturbance promotes the cover of plants associated with arbuscular mycorrhizal (AM) fungi. This effect is especially strong in colder mountain environments and in mountain regions where plant communities are dominated by ectomycorrhizal (EcM) or ericoid‐mycorrhizal (ErM) associations. Furthermore, non‐native plant species, which we confirmed to be mostly AM plants, are more successful in environments dominated by AM associations. These biogeographical patterns suggest that changes in mycorrhizal types could be a crucial factor in the worldwide impact of anthropogenic disturbances on mountain ecosystems. Indeed, roadsides foster AM‐dominated systems, where AM‐fungi might aid AM‐associated plant species while potentially reducing the biotic resistance against invasive non‐native species, often also associated with AM networks. Restoration efforts in mountain ecosystems will have to contend with changes in the fundamental make‐up of EcM‐ and ErM plant communities induced by roadside disturbance. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Antarctic pearlwort (Colobanthus quitensis) populations respond differently to pre-germination treatments
- Author
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Cuba-Díaz, Marely, Acuña, Daniela, and Fuentes-Lillo, Eduardo
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- 2019
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6. Phenotypic variability and genetic differentiation in continental and island populations of Colobanthus quitensis (Caryophyllaceae: Antarctic pearlwort)
- Author
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Cuba-Díaz, Marely, Klagges, Macarena, Fuentes-Lillo, Eduardo, Cordero, Cristian, Acuña, Daniela, Opazo, Génesis, and Troncoso-Castro, José M.
- Published
- 2017
- Full Text
- View/download PDF
7. Global maps of soil temperature
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Winkler, Manuela, Plichta, Roman, Buysse, Pauline, Lohila, Annalea, Spicher, Fabien, Boeckx, Pascal, Wild, Jan, Feigenwinter, Iris, Olejnik, Janusz, Risch, Anita, Khuroo, Anzar, Lynn, Joshua, di Cella, Umberto, Schmidt, Marius, Urbaniak, Marek, Marchesini, Luca, Govaert, Sanne, Uogintas, Domas, Assis, Rafael, Medinets, Volodymyr, Abdalaze, Otar, Varlagin, Andrej, Dolezal, Jiri, Myers, Jonathan, Randall, Krystal, Bauters, Marijn, Jimenez, Juan, Stoll, Stefan, Petraglia, Alessandro, Mazzolari, Ana, Ogaya, Romà, Tyystjärvi, Vilna, Hammerle, Albin, Wipf, Sonja, Lorite, Juan, Fanin, Nicolas, Benavides, Juan, Scholten, Thomas, Yu, Zicheng, Veen, G., Treier, Urs, Candan, Onur, Bell, Michael, Hörtnagl, Lukas, Siebicke, Lukas, Vives-Ingla, Maria, Eugster, Werner, Grelle, Achim, Stemkovski, Michael, Theurillat, Jean-Paul, Matula, Radim, Dorrepaal, Ellen, Steinbrecher, Rainer, Alatalo, Juha, Fenu, Giuseppe, Arzac, Alberto, Homeier, Jürgen, Porro, Francesco, Robinson, Sharon, Ghosn, Dany, Haugum, Siri, Ziemblińska, Klaudia, Camargo, José, Zhao, Peng, Niittynen, Pekka, Liljebladh, Bengt, Normand, Signe, Dias, Arildo, Larson, Christian, Peichl, Matthias, Collier, Laura, Myers-Smith, Isla, Zong, Shengwei, Kašpar, Vít, Cooper, Elisabeth, Haider, Sylvia, von Oppen, Jonathan, Cutini, Maurizio, Benito-Alonso, José-Luis, Luoto, Miska, Klemedtsson, Leif, Higgens, Rebecca, Zhang, Jian, Speed, James, Nijs, Ivan, Macek, Martin, Steinwandter, Michael, Poyatos, Rafael, Niedrist, Georg, Curasi, Salvatore, Yang, Yan, Dengler, Jürgen, Géron, Charly, de Pablo, Miguel, Xenakis, Georgios, Kreyling, Juergen, Forte, Tai, Bailey, Joseph, Knohl, Alexander, Goulding, Keith, Wilkinson, Matthew, Kljun, Natascha, Roupsard, Olivier, Stiegler, Christian, Verbruggen, Erik, Wingate, Lisa, Lamprecht, Andrea, Hamid, Maroof, Rossi, Graziano, Descombes, Patrice, Hrbacek, Filip, Bjornsdottir, Katrin, Poulenard, Jérôme, Meeussen, Camille, Guénard, Benoit, Venn, Susanna, Dimarco, Romina, Man, Matěj, Scharnweber, Tobias, Chown, Steven, Pio, Casimiro, Way, Robert, Erickson, Todd, Fernández-Pascual, Eduardo, Pușcaș, Mihai, Orsenigo, Simone, Di Musciano, Michele, Enquist, Brian, Newling, Emily, Tagesson, Torbern, Kemppinen, Julia, Serra-Diaz, Josep, Gottschall, Felix, Schuchardt, Max, Pitacco, Andrea, Jump, Alistair, Exton, Dan, Carnicer, Jofre, Aschero, Valeria, Urban, Anastasiya, Daskalova, Gergana, Santos, Cinthya, Goeckede, Mathias, Bruna, Josef, Andrews, Christopher, Jónsdóttir, Ingibjörg, Casanova-Katny, Angélica, Moriana-Armendariz, Mikel, Ewers, Robert, Pärtel, Meelis, Sagot, Clotilde, Herbst, Mathias, De Frenne, Pieter, Milbau, Ann, Gobin, Anne, Alexander, Jake, Kopecký, Martin, Buchmann, Nina, Kotowska, Martyna, Puchalka, Radoslaw, Penuelas, Josep, Gigauri, Khatuna, Prokushkin, Anatoly, Moiseev, Pavel, Jentsch, Anke, Klisz, Marcin, Barrio, Isabel, Ammann, Christof, Panov, Alexey, Van Geel, Maarten, Finckh, Manfred, Vaccari, Francesco, Erschbamer, Brigitta, Backes, Amanda, Robroek, Bjorn, Campoe, Otávio, Ahmadian, Negar, Boike, Julia, Thomas, Haydn, Pastor, Ada, Smith, Stuart, Pauli, Harald, Kollár, Jozef, de Cássia Guimarães Mesquita, Rita, Michaletz, Sean, Fuentes-Lillo, Eduardo, Urban, Josef, Greenwood, Sarah, Lens, Luc, Van de Vondel, Stijn, Vitale, Luca, Remmele, Sabine, Naujokaitis-Lewis, Ilona, Meusburger, Katrin, Cremonese, Edoardo, Barros, Agustina, Bokhorst, Stef, Svátek, Martin, Allonsius, Camille, Høye, Toke, Smiljanic, Marko, Hik, David, Canessa, Rafaella, van den Hoogen, Johan, Altman, Jan, Björkman, Mats, Cesarz, Simone, Blonder, Benjamin, Kazakis, George, Opedal, Øystein, Assmann, Jakob, Tanentzap, Andrew, Sidenko, Nikita, le Maire, Guerric, Ursu, Tudor-Mihai, Montagnani, Leonardo, Muffler, Lena, Hederová, Lucia, Rubtsov, Alexey, Pauchard, Aníbal, Tielbörger, Katja, Sørensen, Mia, Crowther, Thomas, Remmers, Wolfram, Pitteloud, Camille, Zyryanov, Viacheslav, Nilsson, Matts, Bazzichetto, Manuele, Sallo-Bravo, Jhonatan, Moiseev, Dmitry, Spasojevic, Marko, Haase, Peter, Pearse, William, Tutton, Rosamond, Fazlioglu, Fatih, Siqueira, David, Ardö, Jonas, Nardino, Marianna, Tomaselli, Marcello, Pavelka, Marian, García, Rafael, Nosetto, Marcelo, Bon, Matteo, Semenchuk, Philipp, Choler, Philippe, Scott, Tony, Halbritter, Aud, Dušek, Jiří, Mackenzie, Roy, Stanisci, Angela, Nouvellon, Yann, Kovács, Bence, Haesen, Stef, Veenendaal, Elmar, Juszczak, Radoslaw, Verheijen, Frank, de Andrade, Ana, Verbeeck, Hans, Bader, Maaike, RENAULT, David, Zimmermann, Reiner, Ferlian, Olga, Medinets, Sergiy, Walz, Josefine, Rossi, Christian, Rocha, Adrian, Lembrechts, Jonas, Jactel, Hervé, Brum, Barbara, Aartsma, Peter, Kobler, Johannes, Eisenhauer, Nico, Bjerke, Jarle, Pellissier, Loïc, Ueyama, Masahito, Manca, Giovanni, Bahalkeh, Khadijeh, Meysman, Filip, Niessner, Armin, Curtis, Robin, Six, Johan, Saccone, Patrick, Wang, Runxi, Ahrends, Antje, Okello, Joseph, Kolle, Olaf, Portillo-Estrada, Miguel, Laska, Kamil, Freeman, Erika, Di Cecco, Valter, Ashcroft, Michael, Steinbauer, Klaus, Della Chiesa, Stefano, van den Brink, Liesbeth, Herberich, Maximiliane, Loubet, Benjamin, Barančok, Peter, Hermanutz, Luise, Souza, Bartolomeu, Contador, Tamara, Zhang, Zhaochen, Aerts, Rien, Stephan, Jörg, Chojnicki, Bogdan, Manco, Antonio, Larson, Keith, Mondoni, Andrea, Palaj, Andrej, Schmeddes, Jonas, Hepenstrick, Daniel, Järveoja, Järvi, Manise, Tanguy, Barthel, Matti, Marciniak, Felipe, Weigel, Robert, Rixen, Christian, Turtureanu, Pavel, Hoffrén, Raúl, Iwata, Hiroki, Vittoz, Pascal, Wedegärtner, Ronja, Penczykowski, Rachel, Phartyal, Shyam, Sitková, Zuzana, Nagy, Laszlo, Ujházy, Karol, Heinesch, Bernard, Berauer, Bernd, Ogée, Jérôme, Malfasi, Francesco, Greise, Caroline, Helfter, Carole, Mosedale, Jonathan, Senior, Rebecca, Magliulo, Enzo, Nuñez, Martin, García, María, Wohlfahrt, Georg, Carbognani, Michele, Thomas, Andrew, Eklundh, Lars, Erfanian, Mohammad, Villar, Luis, Maier, Regine, Dahlberg, C., Guglielmin, Mauro, Jucker, Tommaso, Kelly, Julia, Olesen, Jørgen, Lang, Simone, Tanneberger, Franziska, Gharun, Mana, Jackowicz-Korczynski, Marcin, Convey, Peter, Aalto, Juha, Scheffers, Brett, Ujházyová, Mariana, Andres, Christian, Arriga, Nicola, Smith-Tripp, Sarah, Kanka, Róbert, Dick, Jan, Leihy, Rachel, Van Meerbeek, Koenraad, Maclean, Ilya, Vangansbeke, Pieter, Pampuch, Timo, Čiliak, Marek, Guillemot, Joannès, Sarneel, Judith, Souza, José, Svoboda, Miroslav, Björk, Robert, Merinero, Sonia, Zellweger, Florian, Simpson, Elizabeth, Cannone, Nicoletta, Abedi, Mehdi, Seipel, Tim, Klinges, David, Máliš, František, Basham, Edmund, Sewerniak, Piotr, Schwartz, Naomi, Trouillier, Mario, Vandvik, Vigdis, Shekhar, Ankit, Munoz-Rojas, Miriam, Nicklas, Lena, Goded, Ignacio, Manolaki, Paraskevi, Radujković, Dajana, Yu, Kailiang, Phoenix, Gareth, Cifuentes, Edgar, Seeber, Julia, Deronde, Bart, Lenoir, Jonathan, Frei, Esther, Wilmking, Martin, Hylander, Kristoffer, Graae, Bente, Calzado, M., Wang, Yifeng, Hampe, Arndt, Somers, Ben, Mörsdorf, Martin, Jastrzebowski, Szymon, Ejtehadi, Hamid, Terrestrial Ecology (TE), Universidad de Alcalá. Departamento de Geología, Geografía y Medio Ambiente, BioGeoClimate Modelling Lab, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), Institute for Atmospheric and Earth System Research (INAR), Universiteit Antwerpen = University of Antwerpen [Antwerpen], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), LTSER Zone Atelier Alpes, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 12P1819N, Fonds Wetenschappelijk Onderzoek, ANR-10-LABX-0045,COTE,COntinental To coastal Ecosystems: evolution, adaptability and governance(2010), ANR-13-ISV7-0004,ODYSSEE,De nouvelles voies pour la modélisation des dynamiques d'assemblages d'espèces intégrant l'écologie et l'évolution: le cas des écosystèmes de montagne des Alpes et des Carpates(2013), ANR-20-EBI5-0004,ASICS,ASsessing and mitigating the effects of climate change and biological Invasions on the spatial redistribution of biodiversity in Cold environmentS(2020), ANR-19-CE32-0005,IMPRINT,IMpacts des PRocessus mIcroclimatiques sur la redistributioN de la biodiversiTé forestière en contexte de réchauffement du macroclimat(2019), European Project: 774124 , H2020,H2020-SFS-2017-2,SUPER-G (2018), European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 641918,H2020,H2020-SC5-2014-two-stage,AfricanBioServices(2015), European Project: 678841,H2020,ERC-2015-STG,NICH(2016), European Project: 871128,eLTER PLUS (2020), European Project: 861974, H2020,SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy,SustainSahel(2020), Lembrechts, Jonas J [0000-0002-1933-0750], van den Hoogen, Johan [0000-0001-6624-8461], Aalto, Juha [0000-0001-6819-4911], De Frenne, Pieter [0000-0002-8613-0943], Kemppinen, Julia [0000-0001-7521-7229], Kopecký, Martin [0000-0002-1018-9316], Luoto, Miska [0000-0001-6203-5143], Maclean, Ilya MD [0000-0001-8030-9136], Crowther, Thomas W [0000-0001-5674-8913], Bailey, Joseph J [0000-0002-9526-7095], Haesen, Stef [0000-0002-4491-4213], Klinges, David H [0000-0002-7900-9379], Niittynen, Pekka [0000-0002-7290-029X], Scheffers, Brett R [0000-0003-2423-3821], Van Meerbeek, Koenraad [0000-0002-9260-3815], Aartsma, Peter [0000-0001-5086-856X], Abdalaze, Otar [0000-0001-8140-0900], Abedi, Mehdi [0000-0002-1499-0119], Aerts, Rien [0000-0001-6694-0669], Ahmadian, Negar [0000-0002-7427-7198], Ahrends, Antje [0000-0002-5083-7760], Alatalo, Juha M [0000-0001-5084-850X], Alexander, Jake M [0000-0003-2226-7913], Allonsius, Camille Nina [0000-0003-2599-9941], Altman, Jan [0000-0003-4879-5773], Ammann, Christof [0000-0002-0783-5444], Andres, Christian [0000-0003-0576-6446], Andrews, Christopher [0000-0003-2428-272X], Ardö, Jonas [0000-0002-9318-0973], Arriga, Nicola [0000-0001-5321-3497], Arzac, Alberto [0000-0002-3361-5349], Aschero, Valeria [0000-0003-3865-4133], Assis, Rafael L [0000-0001-8468-6414], Assmann, Jakob Johann [0000-0002-3492-8419], Bader, Maaike Y [0000-0003-4300-7598], Bahalkeh, Khadijeh [0000-0003-1485-0316], Barančok, Peter [0000-0003-1171-2524], Barrio, Isabel C [0000-0002-8120-5248], Barros, Agustina [0000-0002-6810-2391], Basham, Edmund W [0000-0002-0167-7908], Bauters, Marijn [0000-0003-0978-6639], Bazzichetto, Manuele [0000-0002-9874-5064], Marchesini, Luca Belelli [0000-0001-8408-4675], Bell, Michael C [0000-0002-3401-7746], Benavides, Juan C [0000-0002-9694-2195], Benito Alonso, José Luis [0000-0003-1086-8834], Berauer, Bernd J [0000-0002-9472-1532], Bjerke, Jarle W [0000-0003-2721-1492], Björk, Robert G [0000-0001-7346-666X], Björkman, Mats P [0000-0001-5768-1976], Björnsdóttir, Katrin [0000-0001-7421-9441], Blonder, Benjamin [0000-0002-5061-2385], Boeckx, Pascal [0000-0003-3998-0010], Boike, Julia [0000-0002-5875-2112], Bokhorst, Stef [0000-0003-0184-1162], Brum, Bárbara NS [0000-0002-8421-3200], Brůna, Josef [0000-0002-4839-4593], Buchmann, Nina [0000-0003-0826-2980], Camargo, José Luís [0000-0003-0370-9878], Campoe, Otávio C [0000-0001-9810-8834], Candan, Onur [0000-0002-9254-4122], Canessa, Rafaella [0000-0002-6979-9880], Cannone, Nicoletta [0000-0002-3390-3965], Carbognani, Michele [0000-0001-7701-9859], Carnicer, Jofre [0000-0001-7454-8296], Casanova-Katny, Angélica [0000-0003-3860-1445], Cesarz, Simone [0000-0003-2334-5119], Chojnicki, Bogdan [0000-0002-9012-4060], Choler, Philippe [0000-0002-9062-2721], Chown, Steven L [0000-0001-6069-5105], Cifuentes, Edgar F [0000-0001-5918-5861], Čiliak, Marek [0000-0002-6720-9365], Contador, Tamara [0000-0002-0250-9877], Convey, Peter [0000-0001-8497-9903], Cooper, Elisabeth J [0000-0002-0634-1282], Cremonese, Edoardo [0000-0002-6708-8532], Curasi, Salvatore R [0000-0002-4534-3344], Cutini, Maurizio [0000-0002-8597-8221], Dahlberg, C Johan [0000-0003-0271-3306], Daskalova, Gergana N [0000-0002-5674-5322], de Pablo, Miguel Angel [0000-0002-4496-2741], Della Chiesa, Stefano [0000-0002-6693-2199], Dengler, Jürgen [0000-0003-3221-660X], Descombes, Patrice [0000-0002-3760-9907], Di Cecco, Valter [0000-0001-9862-1267], Di Musciano, Michele [0000-0002-3130-7270], Dick, Jan [0000-0002-4180-9338], Dolezal, Jiri [0000-0002-5829-4051], Dorrepaal, Ellen [0000-0002-0523-2471], Dušek, Jiří [0000-0001-6119-0838], Eisenhauer, Nico [0000-0002-0371-6720], Eklundh, Lars [0000-0001-7644-6517], Erickson, Todd E [0000-0003-4537-0251], Erschbamer, Brigitta [0000-0002-6792-1395], Eugster, Werner [0000-0001-6067-0741], Exton, Dan A [0000-0001-8885-5828], Fanin, Nicolas [0000-0003-4195-855X], Fazlioglu, Fatih [0000-0002-4723-3640], Feigenwinter, Iris [0000-0001-7493-6790], Fenu, Giuseppe [0000-0003-4762-5043], Ferlian, Olga [0000-0002-2536-7592], Fernández-Pascual, Eduardo [0000-0002-4743-9577], Finckh, Manfred [0000-0003-2186-0854], Higgens, Rebecca Finger [0000-0002-7645-504X], Forte, T'ai GW [0000-0002-8685-5872], Freeman, Erika C [0000-0001-7161-6038], Frei, Esther R [0000-0003-1910-7900], Fuentes-Lillo, Eduardo [0000-0001-5657-954X], García, Rafael A [0000-0002-0591-0391], García, María B [0000-0003-4231-6006], Géron, Charly [0000-0001-7912-4708], Gharun, Mana [0000-0003-0337-7367], Ghosn, Dany [0000-0003-1898-9681], Gigauri, Khatuna [0000-0002-6707-0818], Gobin, Anne [0000-0002-3742-7062], Goded, Ignacio [0000-0002-1912-325X], Goeckede, Mathias [0000-0003-2833-8401], Gottschall, Felix [0000-0002-1247-8728], Goulding, Keith [0000-0002-6465-1465], Govaert, Sanne [0000-0002-8939-1305], Graae, Bente Jessen [0000-0002-5568-4759], Greenwood, Sarah [0000-0001-9104-7936], Greiser, Caroline [0000-0003-4023-4402], Grelle, Achim [0000-0003-3468-9419], Guénard, Benoit [0000-0002-7144-1175], Guillemot, Joannès [0000-0003-4385-7656], Haase, Peter [0000-0002-9340-0438], Haider, Sylvia [0000-0002-2966-0534], Halbritter, Aud H [0000-0003-2597-6328], Hamid, Maroof [0000-0003-3406-5008], Hammerle, Albin [0000-0003-1963-5906], Hampe, Arndt [0000-0003-2551-9784], Haugum, Siri V [0000-0003-4958-7132], Hederová, Lucia [0000-0003-1283-0952], Heinesch, Bernard [0000-0001-7594-6341], Helfter, Carole [0000-0001-5773-4652], Hepenstrick, Daniel [0000-0003-1090-6888], Herberich, Maximiliane [0000-0003-0716-1520], Hermanutz, Luise [0000-0003-0706-7067], Hik, David S [0000-0002-8994-9305], Hoffrén, Raúl [0000-0002-9123-304X], Homeier, Jürgen [0000-0001-5676-3267], Hörtnagl, Lukas [0000-0002-5569-0761], Høye, Toke T [0000-0001-5387-3284], Hrbacek, Filip [0000-0001-5032-9216], Hylander, Kristoffer [0000-0002-1215-2648], Iwata, Hiroki [0000-0002-8962-8982], Jackowicz-Korczynski, Marcin Antoni [0000-0002-6574-5703], Jactel, Hervé [0000-0002-8106-5310], Järveoja, Järvi [0000-0001-6317-660X], Jastrzębowski, Szymon [0000-0003-1239-4847], Jentsch, Anke [0000-0002-2345-8300], Jiménez, Juan J 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- Subjects
0106 biological sciences ,Zoology and botany: 480 [VDP] ,Q1 ,01 natural sciences ,Global map ,SDG 13 - Climate Action ,Soil temperature ,Zone climatique ,bepress|Physical Sciences and Mathematics|Environmental Sciences ,bioclimatic variables ,global maps ,microclimate ,near-surface temperatures ,soil temperature ,soil-dwelling organisms ,temperature offset ,weather stations ,ComputingMilieux_MISCELLANEOUS ,General Environmental Science ,Global and Planetary Change ,GB ,Geology ,PE&RC ,6. Clean water ,Near-surface soil temperature ,international ,[SDE]Environmental Sciences ,551: Geologie und Hydrologie ,Plantenecologie en Natuurbeheer ,Température du sol ,Near-surface temperature ,Near-surface temperatures ,Biologie ,P40 - Météorologie et climatologie ,bepress|Physical Sciences and Mathematics|Earth Sciences ,MITIGATION ,bepress|Life Sciences|Ecology and Evolutionary Biology ,bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate ,Bioclimatic variables ,Settore BIO/07 - ECOLOGIA ,577: Ökologie ,Biology ,Ecosystem ,Ekologi ,Changement climatique ,Cartographie ,Biology and Life Sciences ,Microclimate ,15. Life on land ,bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring ,Agriculture and Soil Science ,0401 agriculture, forestry, and fisheries ,Temperature offset ,Weather stations ,Plan_S-Compliant-OA ,Soil ,bepress|Life Sciences ,ddc:550 ,Geología ,Ecology ,Temperature ,04 agricultural and veterinary sciences ,Biological Sciences ,FOREST ,Weather station ,Variation saisonnière ,Chemistry ,Bioclimatologie ,bepress|Physical Sciences and Mathematics ,1171 Geosciences ,Technology and Engineering ,Climate Change ,Plant Ecology and Nature Conservation ,MOISTURE ,LITTER DECOMPOSITION ,PERMAFROST ,ddc:570 ,SUITABILITY ,G1 ,bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology ,Global maps ,VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 ,Environmental Chemistry ,Zoologiske og botaniske fag: 480 [VDP] ,Soil-dwelling organisms ,Aquatic Ecology ,P30 - Sciences et aménagement du sol ,Bioclimatic variable ,SNOW-COVER ,bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science ,Earth sciences ,PLANT-RESPONSES ,CLIMATIC CONTROLS ,Soil-dwelling organism ,13. Climate action ,Earth and Environmental Sciences ,VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 ,040103 agronomy & agriculture ,Réchauffement global ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Environmental Sciences ,010606 plant biology & botany - Abstract
JJL received funding from the Research Foundation Flanders (grant nr. 12P1819N). The project received funding from the Research Foundation Flanders (grants nrs, G018919N, W001919N). JVDH and TWC received funding from DOB Ecology. JA received funding from the University of Helsinki, Faculty of Science (MICROCLIM, grant nr. 7510145) and Academy of Finland Flagship (grant no. 337552). PDF, CM and PV received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant FORMICA 757833). JK received funding from the Arctic Interactions at the University of Oulu and Academy of Finland (318930, Profi 4), Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet and Societas pro Fauna et Flora Fennica. MK received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). TWC received funding from National Geographic Society grant no. 9480-14 and WW-240R-17. MA received funding from CISSC (program ICRP (grant nr:2397) and INSF (grant nr: 96005914). The Royal Botanic Garden Edinburgh is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division. JMA received funding from the Funding Org. Qatar Petroleum (grant nr. QUEX-CAS-QP-RD-18/19). JMA received funding from the European Union's Horizon 2020 research and innovation program (grant no. 678841) and from the Swiss National Science Foundation (grant no. 31003A_176044). JA was supported by research grants LTAUSA19137 (program INTER-EXCELLENCE, subprogram INTER-ACTION) provided by Czech Ministry of Education, Youth and Sports and 20-05840Y of the Czech Science Foundation. AA was supported by the Ministry of Science and Higher Education of the Russian Federation (grant FSRZ-2020-0014). SN, UAT, JJA, and JvO received funding from the Independent Research Fund Denmark (7027-00133B). LvdB, KT, MYB and RC acknowledge funding from the German Research Foundation within the Priority Program SPP-1803 'EarthShape: Earth Surface Shaping by Biota' (grant TI 338/14-1&2 and BA 3843/6-1). PB was supported by grant project VEGA of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences No. 2/0132/18. Forest Research received funding from the Forestry Commission (climate change research programme). JCB acknowledges the support of Universidad Javeriana. JLBA received funding from the Direccion General de Cambio Climatico del Gobierno de Aragon; JLBA acknowledges fieldwork assistance by Ana Acin, the Ordesa y Monte Perdido National Park, and the Servicio de Medio Ambiente de Soria de la Junta de Castilla y Leon. RGB and MPB received funding from BECC - Biodiversity and Ecosystem services in a Changing Climate. MPB received funding from The European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 657627 and The Swedish Research Council FORMAS - future research leaders No. 2016-01187. JB received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). NB received funding from the SNF (grant numbers 40FA40_154245, 20FI21_148992, 20FI20_173691, 407340_172433) and from the EU (contract no. 774124). ICOS EU research infrastructure. EU FP7 NitroEurope. EU FP7 ECLAIRE. The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. This is the study 829 of the BDFFP Technical Series. to The EUCFLUX Cooperative Research Program and Forest Science and Research Institute-IPEF. NC acknowledges funding by Stelvio National Park. JC was funded by the Spanish government grant CGL2016-78093-R. ANID-FONDECYT 1181745 AND INSTITUTO ANTARTICO CHILENO (INACH FR-0418). SC received funding from the German Research Foundation (grant no. DFG- FZT 118, 202548816). The National Science Foundation, Poland (grant no. UMO-2017/27/B/ST10/02228), within the framework of the 'Carbon dioxide uptake potential of sphagnum peatlands in the context of atmospheric optical parameters and climate changes' (KUSCO2) project. SLC received funding from the South African National Research Foundation and the Australian Research Council. FM, M, KU and MU received funding from Slovak Research and Development Agency (no. APVV-19-0319). Instituto Antartico Chileno (INACH_RT-48_16), Iniciativa Cientifica Milenio Nucleo Milenio de Salmonidos Invasores INVASAL, Institute of Ecology and Biodiversity (IEB), CONICYT PIA APOYO CCTE AFB170008. PC is supported by NERC core funding to the BAS 'Biodiversity, Evolution and Adaptation Team. EJC received funding from the Norwegian Research Council (grant number 230970). GND was supported by NERC E3 doctoral training partnership grant (NE/L002558/1) at the University of Edinburgh and the Carnegie Trust for the Universities of Scotland. Monitoring stations on Livingston Island, Antarctica, were funded by different research projects of the Gobern of Spain (PERMAPLANET CTM2009-10165-E; ANTARPERMA CTM2011-15565-E; PERMASNOW CTM2014-52021-R), and the PERMATHERMAL arrangement between the University of Alcala and the Spanish Polar Committee. GN received funding from the Autonomous Province of Bolzano (ITA). The infrastructure, part of the UK Environmental Change Network, was funded historically in part by ScotNature and NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). JD was supported by the Czech Science Foundation (GA17-19376S) and MSMT (LTAUSA18007). ED received funding from the Kempe Foundation (JCK-1112 and JCK-1822). The infrastructure was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I), grant number LO1415 and by the project for national infrastructure support CzeCOS/ICOS Reg. No. LM2015061. NE received funding from the German Research Foundation (DFG- FZT 118, 202548816). BE received funding from the GLORIA-EU project no EVK2-CT2000-00056, the Autonomous Province of Bolzano (ITA), from the Tiroler Wissenschaftsfonds and from the University of Innsbruck. RME was supported by funding to the SAFE Project from the Sime Darby Foundation. OF received funding from the German Research Foundation (DFG- FZT 118, 202548816). EFP was supported by the Jardin Botanico Atlantico (SV-20-GIJON-JBA). MF was funded by the German Federal Ministry of Education and Research (BMBF) in the context of The Future Okavango (Grant No. 01LL0912) and SASSCAL (01LG1201M; 01LG1201N) projects. EFL received funding from ANID PIA / BASAL FB210006. RAG received funding from Fondecyt 11170516, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MBG received funding from National Parks (DYNBIO, #1656/2015) and The Spanish Research Agency (VULBIMON, #CGL2017-90040-R). MG received funding from the Swiss National Science Foundation (ICOS-CH Phase 2 20FI20_173691). FG received funding from the German Research Foundation (DFG- FZT 118, 202548816). KG and TS received funding from the UK Biotechnology and Biological Research Council (grant = 206/D16053). SG was supported by the Research Foundation Flanders (FWO) (project G0H1517N). KJ and PH received funding from the EU Horizon2020 INFRAIA project eLTER-PLUS (871128), the project LTER-CWN (FFG, F&E Infrastrukturforderung, project number 858024) and the Austrian Climate Research Program (ACRP7 - CentForCSink - KR14AC7K11960). SH and ARB received funding through iDiv funded by the German Research Foundation (DFG- FZT 118, 202548816). LH received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). MH received funding from the Baden-Wurttemberg Ministry of Science, Research and Arts via the project DRIeR (Drought impacts, processes and resilience: making the in-visible visible). LH received funding from International Polar Year, Weston Foundation, and ArcticNet. DH received funding from Natural Sciences and Engineering Council (Canada) (RGPIN-06691). TTH received funding from Independent Research Fund Denmark (grant no. 8021-00423B) and Villum Foundation (grant no. 17523). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078, VAN2020/01 and CZ.02.1.01/0.0/0.0/16_013/0001708). KH, CG and CJD received funding from Bolin Centre for Climate Research, Stockholm University and from the Swedish research council Formas [grant n:o 2014-00530 to KH]. JJ received funding from the Funding Org. Swedish Forest Society Foundation (grant nr. 2018-485-Steg 2 2017) and Swedish Research Council FORMAS (grant nr. 2018-00792). AJ received funding from the German Federal Ministry of Education and Research BMBF (Grant Nr. FKZ 031B0516C SUSALPS) and the Oberfrankenstiftung (Grant Nr. OFS FP00237). ISJ received funding from the Energy Research Fund (NYR-11 - 2019, NYR-18 - 2020). TJ was supported by a UK NERC Independent Research Fellowship (grant number: NE/S01537X/1). RJ received funding from National Science Centre of Poland (grant number: 2016/21/B/ST10/02271) and Polish National Centre for Research and Development (grant number: Pol-Nor/203258/31/2013). VK received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). AAK received funding from MoEFCC, Govt of India (AICOPTAX project F. No. 22018/12/2015/RE/Tax). NK received funding from FORMAS (grants nr. 2018-01781, 2018-02700, 2019-00836), VR, support from the research infrastructure ICOS-SE. BK received funding from the National Research, Development and Innovation Fund of Hungary (grant nr. K128441). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078 and CZ.02.1.01/0.0/0.0/16_013/0001708). Project B1-RNM-163-UGR-18-Programa Operativo FEDER 2018, partially funded data collection. Norwegian Research Council (NORKLIMA grants #184912 and #244525) awarded to Vigdis Vandvik. MM received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). Project CONICYT-PAI 79170119 and ANID-MPG 190029 awarded to Roy Mackenzie. This work was partly funded by project MIUR PON Cluster OT4CLIMA. RM received funding from the SNF project number 407340_172433. FM received funding from the Stelvio National Park. PM received funding from AIAS-COFUND fellowship programme supported by the Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration (grant agreement no 609033) and the Aarhus University Research Foundation, Denmark. RM received funding from the Ministry of Education, Youth and Sports of the Czech Republic (project LTT17033). SM and VM received funding from EU FP6 NitroEurope (grant nr. 17841), EU FP7 ECLAIRE (grant nr. 282910), the Ministry of Education and Science of Ukraine (projects nr. 505, 550, 574, 602), GEF-UNEP funded "Toward INMS" project (grant nr. NEC05348) and ENI CBC BSB PONTOS (grant nr. BSB 889). The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. FJRM was financially supported by the Netherlands Organization for Scientific Research (VICI grant 016.VICI.170.072) and Research Foundation Flanders (FWO-SBO grant S000619N). STM received funding from New Frontiers in Research Fund-Exploration (grant nr. NFRF-2018-02043) and NSERC Discovery. MMR received funding from the Australian Research Council Discovery Early Career Research Award (grant nr. DE180100570). JAM received funding from the National Science Foundation (DEB 1557094), International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, and Tyson Research Center. IM-S was funded by the UK Natural Environment Research Council through the ShrubTundra Project (NE/M016323/1). MBN received funding from FORMAS, VR, Kempe Foundations support from the research infrastructures ICOS and SITES. MDN received funding from CONICET (grant nr. PIP 112-201501-00609). Spanish Ministry of Science grant PID2019-110521GB-I00 and Catalan government grant 2017-1005. French National Research Agency (ANR) in the frame of the Cluster of Excellence COTE (project HydroBeech, ANR-10-LABX-45). VLIR-OUS, under the Institutional University Coorperation programme (IUC) with Mountains of the Moon University. Project LAS III 77/2017/B entitled: \"Estimation of net carbon dioxide fluxes exchanged between the forest ecosystem on post-agricultural land and between the tornado-damaged forest area and the atmosphere using spectroscopic and numerical methods\", source of funding: General Directorate of State Forests, Warsaw, Poland. Max Planck Society (Germany), RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-45-242908. Estonian Research Council (PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange). Canada-Denmark Arctic Research Station Early Career Scientist Exchange Program, from Polar knowledge Canada (POLAR) and the Danish Agency for Science and Higher Education. AP received funding from Fondecyt 1180205, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MP received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant nr. 2015.0047), and acknowledges funding from the Swedish Research Council (VR) with contributing research institutes to both the SITES and ICOS Sweden infrastructures. JP and RO were funded by the Spanish Ministry of Science grant PID2019-110521GB-I00, the fundacion Ramon Areces grant ELEMENTAL-CLIMATE, and the Catalan government grant 2017-1005. MPB received funding from the Svalbard Environmental Protection Fund (grant project number 15/128) and the Research Council of Norway (Arctic Field Grant, project number 269957). RP received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant INTER-TRANSFER nr. LTT20017). LTSER Zone Atelier Alpes; Federation FREE-Alpes. RP received funding from a Humboldt Fellowship for Experienced Researchers. Prokushkin AS and Zyryanov VI contribution has been supported by the RFBR grant #18-05-60203-Arktika. RPu received founding from the Polish National Science Centre (grant project number 2017/27/B/NZ8/00316). ODYSSEE project (ANR-13-ISV7-0004, PN-II-ID-JRP-RO-FR-2012). KR was supported through an Australian Government Research Training Program Scholarship. Fieldwork was supported by the Global Challenges program at the University of Wollongong, the ARC the Australian Antarctic Division and INACH. DR was funded by the project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' (ANR-20-EBI5-0004). SAR received funding from the Australian Research Council. NSF grant #1556772 to the University of Notre Dame. Pavia University (Italy). OR received funding from EU-LEAP-Agri (RAMSES II), EU-DESIRA (CASSECS), EU-H2020 (SustainSahel), AGROPOLIS and TOTAL Foundations (DSCATT), CGIAR (GLDC). AR was supported by the Russian Science Foundation (Grant 18-74-10048). Parc national des Ecrins. JS received funding from Vetenskapsradet grant nr (No: 2014-04270), ALTER-net multi-site grant, River LIFE project (LIFE08 NAT/S/000266), Flexpeil. Helmholtz Association long-term research program TERENO (Terrestrial Environmental Observatories). PS received funding from the Polish Ministry of Science and Higher Education (grant nr. N N305 304840). AS acknowledges funding by ETH Zurich project FEVER ETH-27 19-1. LSC received funding from NSERC Canada Graduate Scholarship (Doctoral) Program; LSC was also supported by ArcticNet-NCE (insert grant #). Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (141513/2017-9); FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (E26/200.84/2019). ZS received funding from the SRDA (grants nos. APVV-16-0325 and APVV-20-0365) and from the ERDF (grant no. ITMS 313011S735, CE LignoSilva). JS, MB and CA received funding from core budget of ETH Zurich. State excellence Program M-V \"WETSCAPES\". AfricanBioServices project funded by the EU Horizon 2020 grant number 641918. The authors from KIT/IMK-IFU acknowledge the funding received within the German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association and from the Bavarian Ministry of the Environment and Public Health (UGV06080204000). Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 192626868, in the framework of the collaborative German-Indonesian research project CRC 990 (SFB): 'EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)'. MS received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant nr. INTER-TRANSFER LTT19018). TT received funding from the Swedish National Space Board (SNSB Dnr 95/16) and the CASSECS project supported by the European Union. HJDT received funding from the UK Natural Environment Research Council (NERC doctoral training partnership grant NE/L002558/1). German Science Foundation (DFG) GraKo 2010 \"Response\". PDT received funding from the MEMOIRE project (PN-III-P1-1.1-PD2016-0925). Arctic Challenge for Sustainability II (ArCS II; JPMXD1420318865). JU received funding from Czech Science Foundation (grant nr. 21-11487S). TU received funding from the Romanian Ministry of Education and Research (CCCDI - UEFISCDI -project PN-III-P2-2.1-PED-2019-4924 and PN2019-2022/19270201-Ctr. 25N BIODIVERS 3-BIOSERV). AV acknowledge funding from RSF, project 21-14-00209. GFV received funding from the Dutch Research Council NWO (Veni grant, no. 863.14.013). Australian Research Council Discovery Early Career Research Award DE140101611. FGAV received funding from the Portuguese Science Foundation (FCT) under CEECIND/02509/2018, CESAM (UIDP/50017/2020+UIDB/50017/2020), FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Ordesa y Monte Perdido National Park. MVI received funding from the Spanish Ministry of Science and Innovation through a doctoral grant (FPU17/05869). JW received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). CR and SW received funding from the Swiss Federal Office for the Environment (FOEN) and the de Giacomi foundation. YY received funding from the National Natural Science Foundation of China (Grant no. 41861134039 and 41941015). ZY received funding from the National Natural Science Foundation of China (grant nr. 41877458). FZ received funding from the Swiss National Science Foundation (grant nr. 172198 and 193645). PZ received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant no. 2015.0047). JL received funding from (i) the Agence Nationale de la Recherche (ANR), under the framework of the young investigators (JCJC) funding instrument (ANR JCJC Grant project NoANR-19-CE32-0005-01: IMPRINT) (ii) the Centre National de la Recherche Scientifique (CNRS) (Defi INFINITI 2018: MORFO); and the Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE). Fieldwork in the Arctic got facilitated by funding from the EU INTERACT program. SN, UAT, JJA and JvO would like to thank the field team of the Vegetation Dynamics group for their efforts and hard work. We acknowledge Dominique Tristan for letting access to the field. For the logistic support the crew of INACH and Gabriel de Castilla Station team on Deception Island. We thank the Inuvialuit and Kluane First Nations for the opportunity to work on their land. MAdP acknowledges fieldwork assistance and logistics support to Unidad de Tecnologia Marina CSIC, and the crew of Juan Carlos I and Gabriel de Castilla Spanish Antarctic Stations, as well as to the different colleagues from UAH that helped on the instrument maintenance. ERF acknowledges fieldwork assistance by Martin Heggli. MBG acknowledges fieldwork and technical assistance by P Abadia, C Benede, P Bravo, J Gomez, M Grasa, R Jimenez, H Miranda, B Ponz, J Revilla and P Tejero and the Ordesa and Monte Perdido National Park staff. LH acknowledges field assistance by John Jacobs, Andrew Trant, Robert Way, Darroch Whitaker; we acknowledge the Inuit of Nunatsiavut, and the Co-management Board of Torngat Mountains National Park for their support of this project and acknowledge that the field research was conducted on their traditional lands. We thank our many bear guides, especially Boonie, Eli, Herman, John and Maria Merkuratsuk. AAK acknowledges field support of Akhtar Malik, Rameez Ahmad. Part of microclimatic records from Saxony was funded by the Saxon Switzerland National Park Administration. Tyson Research Center. JP acknowledges field support of Emmanuel Malet (Edytem) and Rangers of Reserves Naturelles de Haute-Savoie (ASTERS). Practical help: Roel H. Janssen, N. Huig, E. Bakker, Schools in the tepaseforsoket, Forskar fredag, Erik Herberg. The support by the Bavarian Forest National Park administration is highly appreciated. LvdB acknowledges CONAF and onsite support from the park rangers from PN Pan de Azucar, PN La Campana, PN Nahuelbuta and from communidad agricola Quebrada de Talca. JL and FS acknowledge Manuel Nicolas and all forest officers from the Office National des Forets (ONF) who are in charge of the RENECOFOR network and who provided help and local support for the installation and maintenance of temperature loggers in the field., Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., FWO G018919N W001919N 12P1819N, DOB Ecology, University of Helsinki, Faculty of Science (MICROCLIM) 7510145, European Research Council (ERC) FORMICA 757833, Arctic Interactions at the University of Oulu, Academy of Finland 318930 337552, Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet, Societas pro Fauna et Flora Fennica, Grant Agency of the Czech Republic 20-28119S 20-05840Y GA17-19376S 21-11487S, Czech Academy of Sciences RVO 67985939, National Geographic Society 9480-14 WW-240R-17, CISSC (program ICRP) 2397, Iran National Science Foundation (INSF) 96005914, Scottish Government's Rural and Environment Science and Analytical Services Division, Qatar Petroleum QUEX-CAS-QP-RD-18/19, European Union's Horizon 2020 research and innovation program 678841, Swiss National Science Foundation (SNSF), European Commission 172198 193645 31003A_176044, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137, Ministry of Science and Higher Education of the Russian Federation FSRZ-2020-0014, Independent Research Fund Denmark 8021-00423B 7027-00133B, German Research Foundation (DFG) DFG- FZT 118 202548816 TI 338/14-1 TI 338/14-2 BA 3843/6-1, grant project VEGA of the Ministry of Education of the Slovak Republic Slovak Academy of Sciences 2/0132/18, Forestry Commission, Universidad Javeriana, Direccion General de Cambio Climatico del Gobierno de Aragon, European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant 657627 SNF 407340_172433 40FA40_154245 20FI21_148992 20FI20_173691, European Commission 17841 774124, MCTI/CNPq/FNDCT 68/2013, Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal', Spanish Government, European Commission CGL2016-78093-R, ANID-FONDECYT 1181745, National Science Foundation, Poland UMO-2017/27/B/ST10/02228, National Research Foundation - South Africa, Australian Research Council, Slovak Research and Development Agency APVV-19-0319, Instituto Antartico Chileno INACH_RT-48_16 INACH FR-0418, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) PIA APOYO CCTE AFB170008 PIA AFB170008, UK Research & Innovation (UKRI), Natural Environment Research Council (NERC), Research Council of Norway, European Commission 230970, NERC E3 doctoral training partnership grant at the University of Edinburgh NE/L002558/1, Carnegie Trust for the Universities of Scotland, Gobern of Spain PERMAPLANET CTM2009-10165-E ANTARPERMA CTM2011-15565-E PERMASNOW CTM2014-52021-R, University of Alcala, Spanish Polar Committee, Autonomous Province of Bolzano (ITA), ScotNature, NERC National Capability LTS-S: UK-SCAPE NE/R016429/1, Ministry of Education, Youth & Sports - Czech Republic LTAUSA18007, Kempe Foundation JCK-1112 JCK-1822, Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I) LO1415, project for national infrastructure support CzeCOS/ICOS LM2015061 GLORIA-EU EVK2-CT2000-00056, Tiroler Wissenschaftsfonds, University of Innsbruck, Sime Darby Foundation, Jardin Botanico Atlantico SV-20-GIJON-JBA, Federal Ministry of Education & Research (BMBF) 01LL0912 01LG1201M 01LG1201N, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 11170516 1180205, ANID PIA / BASAL FB210006, National Parks (DYNBIO) 1656/2015, Spanish Research Agency (VULBIMON) CGL2017-90040-R, Swiss National Science Foundation (SNSF) 20FI20_173691, Biotechnology and Biological Sciences Research Council (BBSRC) 206/D16053 FWO G0H1517N, EU Horizon2020 INFRAIA project eLTER-PLUS 871128, project LTER-CWN (FFG, F&E Infrastrukturforderung) 858024, Austrian Climate Research Program ACRP7 - CentForCSink - KR14AC7K11960, iDiv by the German Research Foundation DFG- FZT 118 202548816, Baden-Wurttemberg Ministry of Science, Research and Arts, Weston Foundation, ArcticNet, Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-06691, Villum Foundation 17523, Ministry of Education, Youth & Sports - Czech Republic LM2015078 VAN2020/01 CZ.02.1.01/0.0/0.0/16_013/0001708 LTT17033 LTT20017 INTER-TRANSFER LTT19018, Bolin Centre for Climate Research, Stockholm University, Swedish Research Council Swedish Research Council Formas 2014-00530 2018-00792 2016-01187, Swedish Forest Society Foundation 2018-485-Steg 2 2017, Federal Ministry of Education & Research (BMBF) FKZ 031B0516C SUSALPS, Oberfrankenstiftung OFS FP00237, Energy Research Fund NYR-11 - 2019 NYR-18 - 2020, UK NERC Independent Research Fellowship NE/S01537X/1, National Science Centre, Poland 2016/21/B/ST10/02271, Polish National Centre for Research and Development Pol-Nor/203258/31/2013, MoEFCC, Govt of India (AICOPTAX project) 22018/12/2015/RE/Tax, Swedish Research Council Formas 2018-01781 2018-02700 2019-00836, research infrastructure ICOS-SE, National Research, Development and Innovation Fund of Hungary K128441, Programa Operativo FEDER 2018 B1-RNM-163-UGR-18, Norwegian Research Council (NORKLIMA grants) 184912 244525, CONICYT-PAI 79170119, ANID-MPG 190029, project MIUR PON Cluster OT4CLIMA, Stelvio National Park, AIAS-COFUND fellowship programme - Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration 609033, Aarhus University Research Foundation, Denmark, EU FP6 NitroEurope 17841, EU FP7 ECLAIRE 282910, Ministry of Education and Science of Ukraine 505 550 574 602, GEF-UNEP NEC05348, ENI CBC BSB PONTOS BSB 889, Netherlands Organization for Scientific Research (NWO) 016.VICI.170.072, New Frontiers in Research Fund-Exploration NFRF-2018-02043, Natural Sciences and Engineering Research Council of Canada (NSERC), Australian Research Council DE180100570, National Science Foundation (NSF) DEB 1557094, International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, Smithsonian Institution Smithsonian Tropical Research Institute, Tyson Research Center, UK Natural Environment Research Council through the ShrubTundra Project NE/M016323/1, Swedish Research Council Formas Swedish Research Council, Kempe Foundations - research infrastructure ICOS Kempe Foundations - research infrastructure SITES, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) PIP 112-201501-00609, Spanish Government PID2019-110521GB-I00, Catalan government 2017-1005, French National Research Agency (ANR) ANR-10-LABX-45, General Directorate of State Forests, Warsaw, Poland, Max Planck Society, Russian Foundation for Basic Research (RFBR), Krasnoyarsk Territory Krasnoyarsk Regional Fund of Science 20-45-242908, Estonian Research Council PRG609, Knut & Alice Wallenberg Foundation 2015.0047, Swedish Research Council, fundacion Ramon Areces grant ELEMENTAL-CLIMATE, Svalbard Environmental Protection Fund 15/128, Research Council of Norway 269957, Humboldt Fellowship for Experienced Researchers, Russian Foundation for Basic Research (RFBR) 18-05-60203-Arktika, Polish National Science Centre 2017/27/B/NZ8/00316, ODYSSEE project (PN-II-ID-JRP-RO-FR-2012) ANR-13-ISV7-0004, Australian Government, Department of Industry, Innovation and Science, Global Challenges program at the University of Wollongong, ARC the Australian Antarctic Division, INACH, project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' ANR-20-EBI5-0004, National Science Foundation (NSF) 1556772, EU-LEAP-Agri (RAMSES II) EU-DESIRA (CASSECS) EU-H2020 (SustainSahel), AGROPOLIS, Total SA, CGIAR, Russian Science Foundation (RSF) 18-74-10048, Swedish Research Council 2014-04270, ALTER-net multi-site grant, River LIFE project LIFE08 NAT/S/000266, Flexpeil, Ministry of Science and Higher Education, Poland N N305 304840, ETH Zurich FEVER ETH-27 19-1, NSERC Canada Graduate Scholarship (Doctoral) Program, ArcticNet-NCE, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) 141513/2017-9, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) E26/200.84/2019, SRDA APVV-16-0325 APVV-20-0365, ERDF (CE LignoSilva) ITMS 313011S735, ETH Zurich, EU Horizon 2020 641918, German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association, Bavarian Ministry of the Environment and Public Health UGV06080204000 German Research Foundation (DFG) 192626868, Swedish National Space Board (SNSB) 95/16, CASSECS project by the European Union, Natural Environment Research Council (NERC) NE/L002558/1, MEMOIRE project PN-III-P1-1.1-PD2016-0925, Arctic Challenge for Sustainability II (ArCS II) JPMXD1420318865, Consiliul National al Cercetarii Stiintifice (CNCS), Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (UEFISCDI) PN-III-P2-2.1-PED-2019-4924 PN2019-2022/19270201, 25N BIODIVERS 3-BIOSERV, Russian Science Foundation (RSF) 21-14-00209., Netherlands Organization for Scientific Research (NWO) 863.14.013, Australian Research Council DE140101611, Portuguese Foundation for Science and Technology CEECIND/02509/2018 CESAM UIDP/50017/2020+UIDB/50017/2020, Portuguese Foundation for Science and Technology European Commission, FEDER, within the PT2020 Partnership Agreement, Compete 2020, Spanish Government FPU17/05869, Swiss Federal Office for the Environment (FOEN), Giacomi foundation, National Natural Science Foundation of China (NSFC) 41861134039 41941015 41877458, French National Research Agency (ANR) ANR-19-CE32-0005-01 Centre National de la Recherche Scientifique (CNRS), Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE), EU INTERACT program, Inuit of Nunatsiavut, Co-management Board of Torngat Mountains National Park, Saxon Switzerland National Park Administration, Bavarian Forest National Park administration, BECC - Biodiversity and Ecosystem services in a Changing Climate, Research Foundation Flanders (FWO-SBO) S000619N
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- 2021
8. Pinus contorta Alters Microenvironmental Conditions and Reduces Plant Diversity in Patagonian Ecosystems.
- Author
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García, Rafael A., Fuentes-Lillo, Eduardo, Cavieres, Lohengrin, Cóbar-Carranza, Ana J., Davis, Kimberley T., Naour, Matías, Núñez, Martín A., Maxwell, Bruce D., Lembrechts, Jonas J., and Pauchard, Aníbal
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LODGEPOLE pine , *FOREST litter , *SOIL air , *ECOSYSTEMS , *SOIL temperature , *INVASIVE plants , *PLANT diversity - Abstract
Pinus contorta is considered one of the most invasive tree species worldwide, generating significant impacts on biodiversity and ecosystems. In several Patagonian ecosystems in southern Chile, it has escaped from plantations established mainly in the 1970s, and is now invading both forests and treeless environments. In this study, we evaluated the impact of the invasion of P. contorta on microenvironmental conditions in Araucaria araucana forest and Patagonian steppe ecosystems, and assessed how these changes related to the richness and abundance of native and non-native plant species. In each ecosystem, 24 plots of 100 m2 were established along a gradient of P. contorta biomass, where 18 environmental variables and the composition of native and non-native vegetation were measured at a local scale. Our results indicated that increased pine biomass was associated with differences in microclimatic conditions (soil and air temperature, photosynthetically active radiation (PAR), and soil moisture) and soil properties (potassium, nitrate, pH, and litter accumulation). These changes were ecosystem dependent, however, as well as associated with the level of invasion. Finally, the reduction in the richness and abundance of native plants was associated with the changes in soil properties (accumulation of leaf litter, pH, and organic matter) as well as in the microclimate (minimum air temperature, PAR) generated by the invasion of P. contorta. Overall, our results confirm that the invasion of P. contorta impacts microenvironmental conditions (i.e., canopy cover, litter accumulation, minimum air temperature, and maximum soil temperature) and reduces native plant diversity. For future restoration plans, more emphasis should be given to how environmental changes can influence the recovery of invaded ecosystems even after the removal of the living pine biomass (i.e., legacy of the invasion). [ABSTRACT FROM AUTHOR]
- Published
- 2023
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- View/download PDF
9. Think globally, measure locally: The MIREN standardized protocol for monitoring plant species distributions along elevation gradients
- Author
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Haider, Sylvia, Lembrechts, Jonas J, McDougall, Keith, Pauchard, An��bal, Alexander, Jake M, Barros, Agustina, Cavieres, Lohengrin A, Rashid, Irfan, Rew, Lisa J, Aleksanyan, Alla, Ar��valo, Jos�� R, Aschero, Valeria, Chisholm, Chelsea, Clark, V Ralph, Clavel, Jan, Daehler, Curtis, Dar, Pervaiz A, Dietz, Hansj��rg, Dimarco, Romina D, Edwards, Peter, Essl, Franz, Fuentes-Lillo, Eduardo, Guisan, Antoine, Gwate, Onalenna, Hargreaves, Anna L, Jakobs, Gabi, Jim��nez, Alejandra, Kardol, Paul, Kueffer, Christoph, Larson, Christian, Lenoir, Jonathan, Lenzner, Bernd, Padr��n Mederos, Miguel A, Mihoc, Maritza, Milbau, Ann, Morgan, John W, M��llerov��, Jana, Naylor, Bridgett J, Nijs, Ivan, Nu��ez, Martin A, Otto, R��diger, Preuk, Niels, Ratier Backes, Amanda, Reshi, Zafar A, Rumpf, Sabine B, Sandoya, Ver��nica, Schroder, Mellesa, Speziale, Karina L, Urbach, Davnah, Valencia, Graciela, Vandvik, Vigdis, Vitkov��, Michaela, Vorstenbosch, Tom, Walker, Tom W N, Walsh, Neville, Wright, Genevieve, Zong, Shengwei, and Seipel, Tim
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Invasive species ,Ecology ,Mountain biodiversity ,Mountain Invasion Research Network ,Range dynamics ,580 Plants (Botany) ,Range expansions ,Chemistry ,Long-term ecological monitoring ,Climate change ,MIREN ,human activities ,Biology ,Uncategorized - Abstract
Climate change and other global change drivers threaten plant diversity in mountains worldwide. A widely documented response to such environmental modifications is for plant species to change their elevational ranges. Range shifts are often idiosyncratic and difficult to generalize, partly due to variation in sampling methods. There is thus a need for a standardized monitoring strategy that can be applied across mountain regions to assess distribution changes and community turnover of native and non‐native plant species over space and time. Here, we present a conceptually intuitive and standardized protocol developed by the Mountain Invasion Research Network (MIREN) to systematically quantify global patterns of native and non‐native species distributions along elevation gradients and shifts arising from interactive effects of climate change and human disturbance. Usually repeated every five years, surveys consist of 20 sample sites located at equal elevation increments along three replicate roads per sampling region. At each site, three plots extend from the side of a mountain road into surrounding natural vegetation. The protocol has been successfully used in 18 regions worldwide from 2007 to present. Analyses of one point in time already generated some salient results, and revealed region‐specific elevational patterns of native plant species richness, but a globally consistent elevational decline in non‐native species richness. Non‐native plants were also more abundant directly adjacent to road edges, suggesting that disturbed roadsides serve as a vector for invasions into mountains. From the upcoming analyses of time series, even more exciting results can be expected, especially about range shifts. Implementing the protocol in more mountain regions globally would help to generate a more complete picture of how global change alters species distributions. This would inform conservation policy in mountain ecosystems, where some conservation policies remain poorly implemented. We summarize the findings achieved with the standardized sampling protocol developed by the Mountain Invasion Research Network (MIREN) for monitoring the impact of global change on elevational plant species distributions. We intend to promote the use of the protocol to generate global insights into native and non‐native species responses to rapid global change in mountains.
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- 2022
10. Actual and potential distribution of non-native plants in the Central-Southern Andes of Chile : the role of anthropization at multiple spatial scales
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Fuentes Lillo, Eduardo, Pauchard, Aníbal, Nijs, Ivan, and Cavieres, Lohengrin
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Biology - Abstract
Several factors have been identified as relevant for the distribution of non-native plants in mountain ecosystems. These factors depend mainly on the environmental and vegetational characteristics of each ecosystem (invasibility) and the traits of each invasive species (invasiveness). Knowing the importance of each factor that determines the distribution of non- native plants at multiple scales, is critical to advance the knowledge of the invasion process and efficient protocols for the control and management of non-native in the Andes, all this considering that these ecosystems are a hotspot of biodiversity. Therefore, the general objective of this doctoral thesis is to deepen the existing knowledge on the distribution of non-native plants in the Andes. More specifically, I aim to evaluate how abiotic, biotic, and anthropogenic factors determine the distribution patterns, richness, and abundance of non-native plants along elevational gradients at multiple scales in the Andes. Complementarily, using the current distribution patterns of the most abundant non-native lowland plants, we sought to project their potential future distribution using anthropogenic and microclimatic variables, to understand how the inclusion of these variables can improve the performance of species distribution models and would thus allow us to assess more accurately the redistribution of invasive plants in the Chilean Andes. In this thesis, the following hypotheses were evaluated: (1) The richness and abundance of non- native plants at the regional scale in the Andes Mountains will be determined by abiotic variables such as soil temperature and nitrogen content, while at the local scale anthropogenic variables, such as the presence of roads and human settlements, will be the main drivers. Due to the importance of anthropogenic and microclimatic factors for non-native plant distributions in mountain ecosystems (2), the inclusion of microclimatic and anthropogenic data should improve the performance of models of these distributions in the Andes. Finally, because of the importance of roads as defining factor for non-native plant species distributions at multiple scales in mountain ecosystems worldwide, we propose that (3) roads will similarly be the main drivers of the distribution of non-native plants at the continental scale in the Andes Mountains. To answer these hypotheses, three methodological approaches will be used: (1) First, through a literature review we seek to identify the main drivers of non-native plant richness patterns in the Andes, main impacts and management strategies (Objectives 1, 4), (2) using observational studies and local and regional measurements of abiotic, biotic and anthropogenic factors to assess the drivers of non-native plant richness and abundance (Objective 1,2). Finally, (3) using species distribution models (SDM), we modelled the distribution of five invasive plants in the south-central Andes, evaluating the importance of incorporating anthropogenic and microclimatic variables (objective 3). The literature review (Chapter 1) showed that most studies conducted in the Andes in relation to plant invasions are aimed at understanding distribution patterns, often with case studies focused on specific species. In addition, we found that issues such as the impact of climate change, the impact of anthropogenic disturbances on distribution, and the impacts of non-native plants on ecosystems are the least addressed when studying invasive plants in the Andes. In Chapter 2, we analysed the main factors that explain the richness and abundance of non-native plants at multiple scales. We determined that at the local scale, the presence of roads, the distance to human settlements and the presence of agricultural activities were in all but one case the most important factors explaining the richness and abundance of non-native plants. Only in Malalcahuello National Reserve, biotic factors (the abundance of native species) more strongly related to the abundance of non-native plants. At the regional scale, the richness of non-native plants was explained best by soil ammonium levels and pH, while the abundance of non-native plants was explained best by the presence of agricultural activities. In chapter 3, I show that the inclusion of anthropogenic variables (road presence and distance to human settlements) and microclimatic variables (soil temperature) significantly improved the performance of SDMs, especially for herbs and shrubs. It is however important to note that in all models, precipitation was a key macroclimate variable explaining the distribution of non- native plants in the Andes. Additionally, the results highlight that it is possible that non-native plants expand to higher elevations in the Andes, with significant invasion potential in protected areas. Finally, in Chapter 4 we demonstrate the importance of anthropogenic variables for explaining the distribution of non-native plants along continental-scale elevation gradients in the Andes. These results are fundamental for Andean biodiversity conservation, as they allow us to focus on these anthropogenic variables (e.g., presence of human settlements, agricultural activities, cattle ranching, etc.) when developing biosecurity protocols and management strategies to avoid further expansion of non-native plants in protected areas in particular and the Chilean Andes as a whole.
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- 2022
11. Erratum to: Phenotypic variability and genetic differentiation in continental and island populations of Colobanthus quitensis (Caryophyllaceae: Antarctic pearlwort)
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Cuba-Díaz, Marely, Klagges, Macarena, Fuentes-Lillo, Eduardo, Cordero, Cristian, Acuña, Daniela, Opazo, Génesis, and Troncoso-Castro, José M.
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- 2017
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12. SoilTemp: A global database of near-surface temperature
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Lembrechts, Jonas J., Aalto, Juha, Ashcroft, Michael B., De Frenne, Pieter, Kopecký, Martin, Lenoir, Jonathan, Luoto, Miska, Maclean, Ilya M.D., Roupsard, Olivier, Fuentes-Lillo, Eduardo, García, Rafael A., Pellissier, Loïc, Pitteloud, Camille, Alatalo, Juha M., Smith, Stuart W., Björk, Robert G., Muffler, Lena, Ratier Backes, Amanda, Cesarz, Simone, Gottschall, Felix, Okello, Joseph, Urban, Josef, Plichta, Roman, Svátek, Martin, Phartyal, Shyam S., Wipf, Sonja, Eisenhauer, Nico, Pușcaș, Mihai, Turtureanu, Pavel D., Varlagin, Andrej, Dimarco, Romina D., Jump, Alistair S., Randall, Krystal, Dorrepaal, Ellen, Larson, Keith, Walz, Josefine, Vitale, Luca, Svoboda, Miroslav, Finger Higgens, Rebecca, Halbritter, Aud H., Curasi, Salvatore R., Klupar, Ian, Koontz, Austin, Pearse, William D., Simpson, Elizabeth, Stemkovski, Michael, Jessen Graae, Bente, Vedel Sørensen, Mia, Høye, Toke T., Fernández Calzado, M. Rosa, Lorite, Juan, Carbognani, Michele, Tomaselli, Marcello, Forte, T'ai G.W., Petraglia, Alessandro, Haesen, Stef, Somers, Ben, Van Meerbeek, Koenraad, Björkman, Mats P., Hylander, Kristoffer, Merinero, Sonia, Gharun, Mana, Buchmann, Nina, Dolezal, Jiri, Matula, Radim, Thomas, Andrew D., Bailey, Joseph J., Ghosn, Dany, Kazakis, George, de Pablo, Miguel A., Kemppinen, Julia, Niittynen, Pekka, Rew, Lisa, Seipel, Tim, Larson, Christian, Speed, James D.M., Ardö, Jonas, Cannone, Nicoletta, Guglielmin, Mauro, Malfasi, Francesco, Bader, Maaike Y., Canessa, Rafaella, Stanisci, Angela, Kreyling, Juergen, Schmeddes, Jonas, Teuber, Laurenz, Aschero, Valeria, Čiliak, Marek, Máliš, František, De Smedt, Pallieter, Govaert, Sanne, Meeussen, Camille, Vangansbeke, Pieter, Gigauri, Khatuna, Lamprecht, Andrea, Pauli, Harald, Steinbauer, Klaus, Winkler, Manuela, Ueyama, Masahito, and Nuñez, Martin A.
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soil climate ,climate change ,species distributions ,topoclimate ,temperature ,database ,ecosystem processes ,microclimate - Abstract
© 2020 John Wiley & Sons Ltd Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
- Published
- 2020
13. Phenotypic variability and genetic differentiation in continental and island populations of Colobanthus quitensis (Caryophyllaceae: Antarctic pearlwort).
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Fuentes-Lillo, Eduardo, Opazo, Génesis, Cuba-Díaz, Marely, Klagges, Macarena, Cordero, Cristian, Acuña, Daniela, and Troncoso-Castro, José
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ANTARCTIC environmental conditions ,CARYOPHYLLACEAE ,GENETIC polymorphisms ,GENETIC transformation ,GENE expression - Abstract
Colobanthus quitensis (Antarctic pearlwort) is one of the only two native vascular plants to inhabit the extreme environmental conditions of Antarctica . Colobanthus quitensis has a wide geographic distribution, both in latitude and altitude, and always inhabits extreme environments. This makes it crucial for understanding environmental tolerance mechanisms, and a useful model for studies regarding genetic diversity and intraspecific morphology. Several morphological and molecular descriptors were applied to C. quitensis populations, constituting the first study of its kind in these species. We postulated that morphological variability is strongly linked to geographic distribution, and that this is manifested in external morphological characteristics and genetic structure. A large intra- and interpopulational morphological variability was verified. Both morphological variability and genetics made it possible to form two separate groups between continental and Antarctic island populations. The genetic diversity was high to moderate with the least amount of diversity towards the north. The genetic structure was high, and the gene flow between populations was low. The correlation between morphological, genetic, geographic and altitudinal distances permits the proposal of an isolation by distance model that can be used between populations with high Bio-geographical influence. Understanding what factors lead to local or colonization adaptation, and determining the morphological variations and genetic differentiation in populations of C. quitensis, is vital for the understanding of the evolutionary history that has contributed to the success of the establishment of this species in an environment as extreme as Antarctica. Additionally, this study demonstrates the usefulness of the combined use of morpho-physiological and molecular markers for variability and diversity studies. [ABSTRACT FROM AUTHOR]
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- 2017
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14. Seeds of non-native species in King George Island soil.
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Fuentes-Lillo, Eduardo, Cuba-Díaz, Marely, Troncoso-Castro, José M., and Rondanelli-Reyes, Mauricio
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PLANT ecology ,SEEDS - Abstract
The Antarctic terrestrial ecosystem is relatively simple and has low plant diversity. Taking into account the current effects of climate change and the exponential increase in visitors during the past 50 years, this ecosystem is very vulnerable to the arrival of non-native species. Fildes Peninsula, King George Island, is an area of high human impact due to the scientific and logistical activities that occur there making the area particularly interesting for the arrival of non-native species. In this study, we determine the spectrum of seeds arriving to the peninsula and being deposited in the topsoil. Soil samples were collected and analysed in order to identify and quantify plant material. The results indicate that there is a direct relationship between the sites where seeds were found and areas with higher levels of human activity on the peninsula. Eight species were identified, with the most common being Hypochaeris radicata and Senecio jacobaea. Seed quantification indicated that areas of high human activity are most vulnerable to the invasion and establishment of non-native species. This study is the first to demonstrate the presence of non-native seeds in the topsoil at Fildes Peninsula, Antarctica. [ABSTRACT FROM AUTHOR]
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- 2017
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15. Morpho-physiological response of Colobanthus quitensis and Juncus bufonius under different simulations of climate change.
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Fuentes-Lillo, Eduardo, Cuba-Díaz, Marely, and Rifo, Sergio
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JUNCUS ,CLIMATE change ,METEOROLOGICAL precipitation ,SIMULATION methods & models ,GLOBAL warming ,MELTING - Abstract
Global warming has caused an increase in ambient temperature in Antarctica, which has led to changes in water availability due to increases of precipitation and the melting of permafrost. This scenario of climate change is shown to improve growth conditions, as well as increase populations and local expansion of native and non-native species in the Maritime Antarctic. We hypothesize that the combined effect of the increase in temperature and water availability will enhance the eco-physiological performance in Colobanthus quitensis (Kunth) Bartl. and Juncus bufonius L., being more evident in the non-native species. To test this, a combined effect of temperatures and water availability (4°C H 2 O (field capacity), 4 °C + H 2 O (40% more than field capacity),15°C H 2 O, 15 °C + H 2 O, 20°C H 2 O and 20 °C + H 2 O) on morphological and physiological variables on both species were assessed. Temperatures and water availability increased significantly, which enhanced variables such as plant length, number of inflorescences, Fv/Fm and chlorophyll content for both species. When evaluating both species separately, we determined that the most crucial climate factor for the growth and development of C. quitensis was water availability, while the main determinate factor for the growth and development of J. bufonius was temperature. Also, through the simulated temperature rise and increased water availability, J. bufonius reached higher growth rates compared to C. quitensis. [ABSTRACT FROM AUTHOR]
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- 2017
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16. Pollen record of disturbed topsoil as an indirect measurement of the potential risk of the introduction of non-native plants in maritime Antarctica.
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Fuentes-Lillo, Eduardo, Troncoso-Castro, J., Cuba-Díaz, Marely, and Rondanelli-Reyes, Mauricio
- Abstract
Background: This is a study of current pollen rain on soil disturbed by human use on the Fildes Peninsula, King George Island, South Shetland Islands. A sector strongly affected by human activity, an area between the Eduardo Frei Montalva Chilean Air Force (FACH) base and the Professor Julio Escudero base of the Chilean Antarctic Institute (INACH) were sampled. A less used sector associated with scientific activity and controlled tourism, Ardley Island, and an area of low human activity, the terminal moraine of the Collins glacier, were also sampled. The samples were collected in the southern summer of 2015 and kept in the Palynology and Plant Ecology Laboratory of the Los Angeles Campus of the Universidad de Concepción, Chile. Findings: The area of greatest human activity concentrated the greatest diversity (12 taxa) of pollen grains. Three taxa are considered native to the region. Non-native taxa determined for this sector in turn had the greatest invasion (INV) factor. The dominant families were Brassicaceae and Asteraceae. The results for Ardley and Collins represent the cryptogamic flora and grasses typical of the ecosystem. Conclusion: Under the current climate change scenario, the pollen rain in Antarctic soil, in addition to obeying the random patterns of its natural dispersion, could be interpreted as an indirect measurement of the potential risk of the passive transport of propagules to Antarctica mediated by human beings. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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17. Erratum to: Phenotypic variability and genetic differentiation in continental and island populations of <italic>Colobanthus quitensis</italic> (Caryophyllaceae: Antarctic pearlwort).
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Cuba-Díaz, Marely, Klagges, Macarena, Fuentes-Lillo, Eduardo, Cordero, Cristian, Acuña, Daniela, Opazo, Génesis, and Troncoso-Castro, José M.
- Subjects
CARYOPHYLLACEAE ,PHENOTYPES ,ANGIOSPERM genetics - Abstract
A correction is presented to the article "Phenotypic variability and genetic differentiation in continental and island populations of Colobanthus quitensis (Caryophyllaceae: Antarctic pearlwort)" which published online in the September 1, 2017 issue.
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- 2018
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18. Global maps of soil temperature.
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Lembrechts JJ, van den Hoogen J, Aalto J, Ashcroft MB, De Frenne P, Kemppinen J, Kopecký M, Luoto M, Maclean IMD, Crowther TW, Bailey JJ, Haesen S, Klinges DH, Niittynen P, Scheffers BR, Van Meerbeek K, Aartsma P, Abdalaze O, Abedi M, Aerts R, Ahmadian N, Ahrends A, Alatalo JM, Alexander JM, Allonsius CN, Altman J, Ammann C, Andres C, Andrews C, Ardö J, Arriga N, Arzac A, Aschero V, Assis RL, Assmann JJ, Bader MY, Bahalkeh K, Barančok P, Barrio IC, Barros A, Barthel M, Basham EW, Bauters M, Bazzichetto M, Marchesini LB, Bell MC, Benavides JC, Benito Alonso JL, Berauer BJ, Bjerke JW, Björk RG, Björkman MP, Björnsdóttir K, Blonder B, Boeckx P, Boike J, Bokhorst S, Brum BNS, Brůna J, Buchmann N, Buysse P, Camargo JL, Campoe OC, Candan O, Canessa R, Cannone N, Carbognani M, Carnicer J, Casanova-Katny A, Cesarz S, Chojnicki B, Choler P, Chown SL, Cifuentes EF, Čiliak M, Contador T, Convey P, Cooper EJ, Cremonese E, Curasi SR, Curtis R, Cutini M, Dahlberg CJ, Daskalova GN, de Pablo MA, Della Chiesa S, Dengler J, Deronde B, Descombes P, Di Cecco V, Di Musciano M, Dick J, Dimarco RD, Dolezal J, Dorrepaal E, Dušek J, Eisenhauer N, Eklundh L, Erickson TE, Erschbamer B, Eugster W, Ewers RM, Exton DA, Fanin N, Fazlioglu F, Feigenwinter I, Fenu G, Ferlian O, Fernández Calzado MR, Fernández-Pascual E, Finckh M, Higgens RF, Forte TGW, Freeman EC, Frei ER, Fuentes-Lillo E, García RA, García MB, Géron C, Gharun M, Ghosn D, Gigauri K, Gobin A, Goded I, Goeckede M, Gottschall F, Goulding K, Govaert S, Graae BJ, Greenwood S, Greiser C, Grelle A, Guénard B, Guglielmin M, Guillemot J, Haase P, Haider S, Halbritter AH, Hamid M, Hammerle A, Hampe A, Haugum SV, Hederová L, Heinesch B, Helfter C, Hepenstrick D, Herberich M, Herbst M, Hermanutz L, Hik DS, Hoffrén R, Homeier J, Hörtnagl L, Høye TT, Hrbacek F, Hylander K, Iwata H, Jackowicz-Korczynski MA, Jactel H, Järveoja J, Jastrzębowski S, Jentsch A, Jiménez JJ, Jónsdóttir IS, Jucker T, Jump AS, Juszczak R, Kanka R, Kašpar V, Kazakis G, Kelly J, Khuroo AA, Klemedtsson L, Klisz M, Kljun N, Knohl A, Kobler J, Kollár J, Kotowska MM, Kovács B, Kreyling J, Lamprecht A, Lang SI, Larson C, Larson K, Laska K, le Maire G, Leihy RI, Lens L, Liljebladh B, Lohila A, Lorite J, Loubet B, Lynn J, Macek M, Mackenzie R, Magliulo E, Maier R, Malfasi F, Máliš F, Man M, Manca G, Manco A, Manise T, Manolaki P, Marciniak F, Matula R, Mazzolari AC, Medinets S, Medinets V, Meeussen C, Merinero S, Mesquita RCG, Meusburger K, Meysman FJR, Michaletz ST, Milbau A, Moiseev D, Moiseev P, Mondoni A, Monfries R, Montagnani L, Moriana-Armendariz M, Morra di Cella U, Mörsdorf M, Mosedale JR, Muffler L, Muñoz-Rojas M, Myers JA, Myers-Smith IH, Nagy L, Nardino M, Naujokaitis-Lewis I, Newling E, Nicklas L, Niedrist G, Niessner A, Nilsson MB, Normand S, Nosetto MD, Nouvellon Y, Nuñez MA, Ogaya R, Ogée J, Okello J, Olejnik J, Olesen JE, Opedal ØH, Orsenigo S, Palaj A, Pampuch T, Panov AV, Pärtel M, Pastor A, Pauchard A, Pauli H, Pavelka M, Pearse WD, Peichl M, Pellissier L, Penczykowski RM, Penuelas J, Petit Bon M, Petraglia A, Phartyal SS, Phoenix GK, Pio C, Pitacco A, Pitteloud C, Plichta R, Porro F, Portillo-Estrada M, Poulenard J, Poyatos R, Prokushkin AS, Puchalka R, Pușcaș M, Radujković D, Randall K, Ratier Backes A, Remmele S, Remmers W, Renault D, Risch AC, Rixen C, Robinson SA, Robroek BJM, Rocha AV, Rossi C, Rossi G, Roupsard O, Rubtsov AV, Saccone P, Sagot C, Sallo Bravo J, Santos CC, Sarneel JM, Scharnweber T, Schmeddes J, Schmidt M, Scholten T, Schuchardt M, Schwartz N, Scott T, Seeber J, Segalin de Andrade AC, Seipel T, Semenchuk P, Senior RA, Serra-Diaz JM, Sewerniak P, Shekhar A, Sidenko NV, Siebicke L, Siegwart Collier L, Simpson E, Siqueira DP, Sitková Z, Six J, Smiljanic M, Smith SW, Smith-Tripp S, Somers B, Sørensen MV, Souza JJLL, Souza BI, Souza Dias A, Spasojevic MJ, Speed JDM, Spicher F, Stanisci A, Steinbauer K, Steinbrecher R, Steinwandter M, Stemkovski M, Stephan JG, Stiegler C, Stoll S, Svátek M, Svoboda M, Tagesson T, Tanentzap AJ, Tanneberger F, Theurillat JP, Thomas HJD, Thomas AD, Tielbörger K, Tomaselli M, Treier UA, Trouillier M, Turtureanu PD, Tutton R, Tyystjärvi VA, Ueyama M, Ujházy K, Ujházyová M, Uogintas D, Urban AV, Urban J, Urbaniak M, Ursu TM, Vaccari FP, Van de Vondel S, van den Brink L, Van Geel M, Vandvik V, Vangansbeke P, Varlagin A, Veen GF, Veenendaal E, Venn SE, Verbeeck H, Verbrugggen E, Verheijen FGA, Villar L, Vitale L, Vittoz P, Vives-Ingla M, von Oppen J, Walz J, Wang R, Wang Y, Way RG, Wedegärtner REM, Weigel R, Wild J, Wilkinson M, Wilmking M, Wingate L, Winkler M, Wipf S, Wohlfahrt G, Xenakis G, Yang Y, Yu Z, Yu K, Zellweger F, Zhang J, Zhang Z, Zhao P, Ziemblińska K, Zimmermann R, Zong S, Zyryanov VI, Nijs I, and Lenoir J
- Subjects
- Climate Change, Microclimate, Temperature, Ecosystem, Soil
- Abstract
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km
2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)- Published
- 2022
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19. Think globally, measure locally: The MIREN standardized protocol for monitoring plant species distributions along elevation gradients.
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Haider S, Lembrechts JJ, McDougall K, Pauchard A, Alexander JM, Barros A, Cavieres LA, Rashid I, Rew LJ, Aleksanyan A, Arévalo JR, Aschero V, Chisholm C, Clark VR, Clavel J, Daehler C, Dar PA, Dietz H, Dimarco RD, Edwards P, Essl F, Fuentes-Lillo E, Guisan A, Gwate O, Hargreaves AL, Jakobs G, Jiménez A, Kardol P, Kueffer C, Larson C, Lenoir J, Lenzner B, Padrón Mederos MA, Mihoc M, Milbau A, Morgan JW, Müllerová J, Naylor BJ, Nijs I, Nuñez MA, Otto R, Preuk N, Ratier Backes A, Reshi ZA, Rumpf SB, Sandoya V, Schroder M, Speziale KL, Urbach D, Valencia G, Vandvik V, Vitková M, Vorstenbosch T, Walker TWN, Walsh N, Wright G, Zong S, and Seipel T
- Abstract
Climate change and other global change drivers threaten plant diversity in mountains worldwide. A widely documented response to such environmental modifications is for plant species to change their elevational ranges. Range shifts are often idiosyncratic and difficult to generalize, partly due to variation in sampling methods. There is thus a need for a standardized monitoring strategy that can be applied across mountain regions to assess distribution changes and community turnover of native and non-native plant species over space and time. Here, we present a conceptually intuitive and standardized protocol developed by the Mountain Invasion Research Network (MIREN) to systematically quantify global patterns of native and non-native species distributions along elevation gradients and shifts arising from interactive effects of climate change and human disturbance. Usually repeated every five years, surveys consist of 20 sample sites located at equal elevation increments along three replicate roads per sampling region. At each site, three plots extend from the side of a mountain road into surrounding natural vegetation. The protocol has been successfully used in 18 regions worldwide from 2007 to present. Analyses of one point in time already generated some salient results, and revealed region-specific elevational patterns of native plant species richness, but a globally consistent elevational decline in non-native species richness. Non-native plants were also more abundant directly adjacent to road edges, suggesting that disturbed roadsides serve as a vector for invasions into mountains. From the upcoming analyses of time series, even more exciting results can be expected, especially about range shifts. Implementing the protocol in more mountain regions globally would help to generate a more complete picture of how global change alters species distributions. This would inform conservation policy in mountain ecosystems, where some conservation policies remain poorly implemented., Competing Interests: The authors declare no conflict of interest., (© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
- Published
- 2022
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- View/download PDF
20. SoilTemp: A global database of near-surface temperature.
- Author
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Lembrechts JJ, Aalto J, Ashcroft MB, De Frenne P, Kopecký M, Lenoir J, Luoto M, Maclean IMD, Roupsard O, Fuentes-Lillo E, García RA, Pellissier L, Pitteloud C, Alatalo JM, Smith SW, Björk RG, Muffler L, Ratier Backes A, Cesarz S, Gottschall F, Okello J, Urban J, Plichta R, Svátek M, Phartyal SS, Wipf S, Eisenhauer N, Pușcaș M, Turtureanu PD, Varlagin A, Dimarco RD, Jump AS, Randall K, Dorrepaal E, Larson K, Walz J, Vitale L, Svoboda M, Finger Higgens R, Halbritter AH, Curasi SR, Klupar I, Koontz A, Pearse WD, Simpson E, Stemkovski M, Jessen Graae B, Vedel Sørensen M, Høye TT, Fernández Calzado MR, Lorite J, Carbognani M, Tomaselli M, Forte TGW, Petraglia A, Haesen S, Somers B, Van Meerbeek K, Björkman MP, Hylander K, Merinero S, Gharun M, Buchmann N, Dolezal J, Matula R, Thomas AD, Bailey JJ, Ghosn D, Kazakis G, de Pablo MA, Kemppinen J, Niittynen P, Rew L, Seipel T, Larson C, Speed JDM, Ardö J, Cannone N, Guglielmin M, Malfasi F, Bader MY, Canessa R, Stanisci A, Kreyling J, Schmeddes J, Teuber L, Aschero V, Čiliak M, Máliš F, De Smedt P, Govaert S, Meeussen C, Vangansbeke P, Gigauri K, Lamprecht A, Pauli H, Steinbauer K, Winkler M, Ueyama M, Nuñez MA, Ursu TM, Haider S, Wedegärtner REM, Smiljanic M, Trouillier M, Wilmking M, Altman J, Brůna J, Hederová L, Macek M, Man M, Wild J, Vittoz P, Pärtel M, Barančok P, Kanka R, Kollár J, Palaj A, Barros A, Mazzolari AC, Bauters M, Boeckx P, Benito Alonso JL, Zong S, Di Cecco V, Sitková Z, Tielbörger K, van den Brink L, Weigel R, Homeier J, Dahlberg CJ, Medinets S, Medinets V, De Boeck HJ, Portillo-Estrada M, Verryckt LT, Milbau A, Daskalova GN, Thomas HJD, Myers-Smith IH, Blonder B, Stephan JG, Descombes P, Zellweger F, Frei ER, Heinesch B, Andrews C, Dick J, Siebicke L, Rocha A, Senior RA, Rixen C, Jimenez JJ, Boike J, Pauchard A, Scholten T, Scheffers B, Klinges D, Basham EW, Zhang J, Zhang Z, Géron C, Fazlioglu F, Candan O, Sallo Bravo J, Hrbacek F, Laska K, Cremonese E, Haase P, Moyano FE, Rossi C, and Nijs I
- Subjects
- Climate Change, Snow, Temperature, Ecosystem, Microclimate
- Abstract
Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes., (© 2020 John Wiley & Sons Ltd.)
- Published
- 2020
- Full Text
- View/download PDF
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