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5. Assessment of carbon sequestration and timber production of Scots pine across Scotland using the process-based model 3-PGN

Author

Xenakis, Georgios, Mencuccini, Maurizio., and Ray, Duncan

Subjects
634.9, 3-PGN, Pinus sylvestris L., Bayesian calibration, uncertainty, sensitivity analysis, Monte Carlo Markov Chain, process-based model, Growth, Site factors, timber, productivity, carbon sequestration, ecosystem fluxes
Abstract

Forests are a valuable resource for humans providing a range of products and services such as construction timber, paper and fuel wood, recreation, as well as living quarters for indigenous populations and habitats for many animal and bird species. Most recent international political agreements such as the Kyoto Protocol emphasise the role of forests as a major sink for atmospheric carbon dioxide mitigation. However, forest areas are rapidly decreasing world wide. Thus, it is vital that efficient strategies and tools are developed to encourage sustainable ecosystem management. These tools must be based on known ecological principles (such as tree physiological and soil nutrient cycle processes), capable of supplying fast and accurate temporal and spatial predictions of the effects of management on both timber production and carbon sequestration. This thesis had two main objectives. The first was to investigate the environmental factors affecting growth and carbon sequestration of Scots pine (Pinus sylvestris L.) across Scotland, by developing a knowledge base through a statistical analysis of old and novel field datasets. Furthermore, the process-based ecosystem model 3-PGN was developed, by coupling the existing models 3-PG and ICBM. 3-PGN calibrated using a Bayesian approach based on Monte Carlo Markov Chain simulations and it was validated for plantation stands. Sensitivity and uncertainty analyses provided an understanding of the internal feedbacks of the model. Further simulations gave a detailed eco-physiological interpretation of the environmental factors affecting Scots pine growth and it provided an assessment of carbon sequestration under the scenario of sustainable, normal production and its effects from the environment. Finally, the study investigated the spatial and temporal patterns of timber production and carbon sequestration by using the spatial version of the model and applying advanced spatial analyses techniques. The second objective was to help close the gap between environmental research and forest management, by setting a strategic framework for a process-based tool for sustainable ecosystem management. The thesis demonstrated the procedures for a site classification scheme based on modelling results and a yield table validation procedure, which can provide a way forward in supporting policies for forest management and ensuring their continued existence in the face of the present and future challenges.

Published
2007

6. Demography DGVMs, Forest Management, Reforestation, and Afforestation: Evaluations of JULES-RED at a Sitka Spruce Plantation

Author

Argles, Arthur, primary, Robertson, Eddy, additional, Harper, Anna, additional, Morison, James, additional, Xenakis, Georgios, additional, Hastings, Astley, additional, Mccalmont, Jon, additional, Moore, Jon, additional, Bateman, Ian, additional, Gannon, Kate, additional, Betts, Richard, additional, Bathgate, Stephen, additional, Thomas, Justin, additional, Heard, Matthew, additional, and Cox, Peter, additional

Published
2023
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7. Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation.

Author

Argles, Arthur P. K., Robertson, Eddy, Harper, Anna B., Morison, James I. L., Xenakis, Georgios, Hastings, Astley, Mccalmont, Jon, Moore, Jon R., Bateman, Ian J., Gannon, Kate, Betts, Richard A., Bathgate, Stephen, Thomas, Justin, Heard, Matthew, and Cox, Peter M.

Subjects
FOREST management, SITKA spruce, LEAF area index, FOREST density, DEMOGRAPHY, BIOMASS conversion
Abstract

Afforestation and reforestation to meet 'Net Zero' emissions targets are considered a necessary policy by many countries. Their potential benefits are usually assessed through forest carbon and growth models. The implementation of vegetation demography gives scope to represent forest management and other size-dependent processes within land surface models (LSMs). In this paper, we evaluate the impact of including management within an LSM that represents demography, using both in-situ and reanalysis climate drivers at a mature, upland Sitka spruce plantation in Northumberland, UK. We compare historical simulations with fixed and variable CO2 concentrations, and with and without tree thinning implemented. Simulations are evaluated against the observed vegetation structure and carbon fluxes. Including thinning and the impact of increasing CO2 concentration ('CO2 fertilisation') gave more realistic estimates of stand-structure and physical characteristics. Historical CO2 fertilisation had a noticeable effect on the Gross Primary Productivity seasonal–diurnal cycle and contributed to approximately 7% higher stand biomass by 2018. The net effect of both processes resulted in a decrease of tree density and biomass, but an increase in tree height and leaf area index. [ABSTRACT FROM AUTHOR]

Published
2023
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9. Global maps of soil temperature

Author

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

Published
2021

10. A review of planting principles to identify the right place for the right tree for ‘net zero plus’ woodlands: Applying a place‐based natural capital framework for sustainable, efficient and equitable (SEE) decisions

Author

Bateman, Ian J., primary, Anderson, Karen, additional, Argles, Arthur, additional, Belcher, Claire, additional, Betts, Richard A., additional, Binner, Amy, additional, Brazier, Richard E., additional, Cho, Frankie H. T., additional, Collins, Rebecca M., additional, Day, Brett H., additional, Duran‐Rojas, Carolina, additional, Eisenbarth, Sabrina, additional, Gannon, Kate, additional, Gatis, Naomi, additional, Groom, Ben, additional, Hails, Rosie, additional, Harper, Anna B., additional, Harwood, Amii, additional, Hastings, Astley, additional, Heard, Matthew S., additional, Hill, Timothy C., additional, Inman, Alex, additional, Lee, Christopher F., additional, Luscombe, David J., additional, MacKenzie, Angus R., additional, Mancini, Mattia C., additional, Morison, James I. L., additional, Morris, Aaron, additional, Quine, Chris P., additional, Snowdon, Pat, additional, Tyler, Charles R., additional, Vanguelova, Elena I., additional, Wilkinson, Matthew, additional, Williamson, Daniel, additional, and Xenakis, Georgios, additional

Published
2022
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12. Global maps of soil temperature

Author

Lembrechts, Jonas J., primary, van den Hoogen, Johan, additional, Aalto, Juha, additional, Ashcroft, Michael B., additional, De Frenne, Pieter, additional, Kemppinen, Julia, additional, Kopecký, Martin, additional, Luoto, Miska, additional, Maclean, Ilya M. D., additional, Crowther, Thomas W., additional, Bailey, Joseph J., additional, Haesen, Stef, additional, Klinges, David H., additional, Niittynen, Pekka, additional, Scheffers, Brett R., additional, Van Meerbeek, Koenraad, additional, Aartsma, Peter, additional, Abdalaze, Otar, additional, Abedi, Mehdi, additional, Aerts, Rien, additional, Ahmadian, Negar, additional, Ahrends, Antje, additional, Alatalo, Juha M., additional, Alexander, Jake M., additional, Allonsius, Camille Nina, additional, Altman, Jan, additional, Ammann, Christof, additional, Andres, Christian, additional, Andrews, Christopher, additional, Ardö, Jonas, additional, Arriga, Nicola, additional, Arzac, Alberto, additional, Aschero, Valeria, additional, Assis, Rafael L., additional, Assmann, Jakob Johann, additional, Bader, Maaike Y., additional, Bahalkeh, Khadijeh, additional, Barančok, Peter, additional, Barrio, Isabel C., additional, Barros, Agustina, additional, Barthel, Matti, additional, Basham, Edmund W., additional, Bauters, Marijn, additional, Bazzichetto, Manuele, additional, Marchesini, Luca Belelli, additional, Bell, Michael C., additional, Benavides, Juan C., additional, Benito Alonso, José Luis, additional, Berauer, Bernd J., additional, Bjerke, Jarle W., additional, Björk, Robert G., additional, Björkman, Mats P., additional, Björnsdóttir, Katrin, additional, Blonder, Benjamin, additional, Boeckx, Pascal, additional, Boike, Julia, additional, Bokhorst, Stef, additional, Brum, Bárbara N. S., additional, Brůna, Josef, additional, Buchmann, Nina, additional, Buysse, Pauline, additional, Camargo, José Luís, additional, Campoe, Otávio C., additional, Candan, Onur, additional, Canessa, Rafaella, additional, Cannone, Nicoletta, additional, Carbognani, Michele, additional, Carnicer, Jofre, additional, Casanova‐Katny, Angélica, additional, Cesarz, Simone, additional, Chojnicki, Bogdan, additional, Choler, Philippe, additional, Chown, Steven L., additional, Cifuentes, Edgar F., additional, Čiliak, Marek, additional, Contador, Tamara, additional, Convey, Peter, additional, Cooper, Elisabeth J., additional, Cremonese, Edoardo, additional, Curasi, Salvatore R., additional, Curtis, Robin, additional, Cutini, Maurizio, additional, Dahlberg, C. Johan, additional, Daskalova, Gergana N., additional, de Pablo, Miguel Angel, additional, Della Chiesa, Stefano, additional, Dengler, Jürgen, additional, Deronde, Bart, additional, Descombes, Patrice, additional, Di Cecco, Valter, additional, Di Musciano, Michele, additional, Dick, Jan, additional, Dimarco, Romina D., additional, Dolezal, Jiri, additional, Dorrepaal, Ellen, additional, Dušek, Jiří, additional, Eisenhauer, Nico, additional, Eklundh, Lars, additional, Erickson, Todd E., additional, Erschbamer, Brigitta, additional, Eugster, Werner, additional, Ewers, Robert M., additional, Exton, Dan A., additional, Fanin, Nicolas, additional, Fazlioglu, Fatih, additional, Feigenwinter, Iris, additional, Fenu, Giuseppe, additional, Ferlian, Olga, additional, Fernández Calzado, M. Rosa, additional, Fernández‐Pascual, Eduardo, additional, Finckh, Manfred, additional, Higgens, Rebecca Finger, additional, Forte, T'ai G. W., additional, Freeman, Erika C., additional, Frei, Esther R., additional, Fuentes‐Lillo, Eduardo, additional, García, Rafael A., additional, García, María B., additional, Géron, Charly, additional, Gharun, Mana, additional, Ghosn, Dany, additional, Gigauri, Khatuna, additional, Gobin, Anne, additional, Goded, Ignacio, additional, Goeckede, Mathias, additional, Gottschall, Felix, additional, Goulding, Keith, additional, Govaert, Sanne, additional, Graae, Bente Jessen, additional, Greenwood, Sarah, additional, Greiser, Caroline, additional, Grelle, Achim, additional, Guénard, Benoit, additional, Guglielmin, Mauro, additional, Guillemot, Joannès, additional, Haase, Peter, additional, Haider, Sylvia, additional, Halbritter, Aud H., additional, Hamid, Maroof, additional, Hammerle, Albin, additional, Hampe, Arndt, additional, Haugum, Siri V., additional, Hederová, Lucia, additional, Heinesch, Bernard, additional, Helfter, Carole, additional, Hepenstrick, Daniel, additional, Herberich, Maximiliane, additional, Herbst, Mathias, additional, Hermanutz, Luise, additional, Hik, David S., additional, Hoffrén, Raúl, additional, Homeier, Jürgen, additional, Hörtnagl, Lukas, additional, Høye, Toke T., additional, Hrbacek, Filip, additional, Hylander, Kristoffer, additional, Iwata, Hiroki, additional, Jackowicz‐Korczynski, Marcin Antoni, additional, Jactel, Hervé, additional, Järveoja, Järvi, additional, Jastrzębowski, Szymon, additional, Jentsch, Anke, additional, Jiménez, Juan J., additional, Jónsdóttir, Ingibjörg S., additional, Jucker, Tommaso, additional, Jump, Alistair S., additional, Juszczak, Radoslaw, additional, Kanka, Róbert, additional, Kašpar, Vít, additional, Kazakis, George, additional, Kelly, Julia, additional, Khuroo, Anzar A., additional, Klemedtsson, Leif, additional, Klisz, Marcin, additional, Kljun, Natascha, additional, Knohl, Alexander, additional, Kobler, Johannes, additional, Kollár, Jozef, additional, Kotowska, Martyna M., additional, Kovács, Bence, additional, Kreyling, Juergen, additional, Lamprecht, Andrea, additional, Lang, Simone I., additional, Larson, Christian, additional, Larson, Keith, additional, Laska, Kamil, additional, le Maire, Guerric, additional, Leihy, Rachel I., additional, Lens, Luc, additional, Liljebladh, Bengt, additional, Lohila, Annalea, additional, Lorite, Juan, additional, Loubet, Benjamin, additional, Lynn, Joshua, additional, Macek, Martin, additional, Mackenzie, Roy, additional, Magliulo, Enzo, additional, Maier, Regine, additional, Malfasi, Francesco, additional, Máliš, František, additional, Man, Matěj, additional, Manca, Giovanni, additional, Manco, Antonio, additional, Manise, Tanguy, additional, Manolaki, Paraskevi, additional, Marciniak, Felipe, additional, Matula, Radim, additional, Mazzolari, Ana Clara, additional, Medinets, Sergiy, additional, Medinets, Volodymyr, additional, Meeussen, Camille, additional, Merinero, Sonia, additional, Mesquita, Rita de Cássia Guimarães, additional, Meusburger, Katrin, additional, Meysman, Filip J. R., additional, Michaletz, Sean T., additional, Milbau, Ann, additional, Moiseev, Dmitry, additional, Moiseev, Pavel, additional, Mondoni, Andrea, additional, Monfries, Ruth, additional, Montagnani, Leonardo, additional, Moriana‐Armendariz, Mikel, additional, Morra di Cella, Umberto, additional, Mörsdorf, Martin, additional, Mosedale, Jonathan R., additional, Muffler, Lena, additional, Muñoz‐Rojas, Miriam, additional, Myers, Jonathan A., additional, Myers‐Smith, Isla H., additional, Nagy, Laszlo, additional, Nardino, Marianna, additional, Naujokaitis‐Lewis, Ilona, additional, Newling, Emily, additional, Nicklas, Lena, additional, Niedrist, Georg, additional, Niessner, Armin, additional, Nilsson, Mats B., additional, Normand, Signe, additional, Nosetto, Marcelo D., additional, Nouvellon, Yann, additional, Nuñez, Martin A., additional, Ogaya, Romà, additional, Ogée, Jérôme, additional, Okello, Joseph, additional, Olejnik, Janusz, additional, Olesen, Jørgen Eivind, additional, Opedal, Øystein H., additional, Orsenigo, Simone, additional, Palaj, Andrej, additional, Pampuch, Timo, additional, Panov, Alexey V., additional, Pärtel, Meelis, additional, Pastor, Ada, additional, Pauchard, Aníbal, additional, Pauli, Harald, additional, Pavelka, Marian, additional, Pearse, William D., additional, Peichl, Matthias, additional, Pellissier, Loïc, additional, Penczykowski, Rachel M., additional, Penuelas, Josep, additional, Petit Bon, Matteo, additional, Petraglia, Alessandro, additional, Phartyal, Shyam S., additional, Phoenix, Gareth K., additional, Pio, Casimiro, additional, Pitacco, Andrea, additional, Pitteloud, Camille, additional, Plichta, Roman, additional, Porro, Francesco, additional, Portillo‐Estrada, Miguel, additional, Poulenard, Jérôme, additional, Poyatos, Rafael, additional, Prokushkin, Anatoly S., additional, Puchalka, Radoslaw, additional, Pușcaș, Mihai, additional, Radujković, Dajana, additional, Randall, Krystal, additional, Ratier Backes, Amanda, additional, Remmele, Sabine, additional, Remmers, Wolfram, additional, Renault, David, additional, Risch, Anita C., additional, Rixen, Christian, additional, Robinson, Sharon A., additional, Robroek, Bjorn J. M., additional, Rocha, Adrian V., additional, Rossi, Christian, additional, Rossi, Graziano, additional, Roupsard, Olivier, additional, Rubtsov, Alexey V., additional, Saccone, Patrick, additional, Sagot, Clotilde, additional, Sallo Bravo, Jhonatan, additional, Santos, Cinthya C., additional, Sarneel, Judith M., additional, Scharnweber, Tobias, additional, Schmeddes, Jonas, additional, Schmidt, Marius, additional, Scholten, Thomas, additional, Schuchardt, Max, additional, Schwartz, Naomi, additional, Scott, Tony, additional, Seeber, Julia, additional, Segalin de Andrade, Ana Cristina, additional, Seipel, Tim, additional, Semenchuk, Philipp, additional, Senior, Rebecca A., additional, Serra‐Diaz, Josep M., additional, Sewerniak, Piotr, additional, Shekhar, Ankit, additional, Sidenko, Nikita V., additional, Siebicke, Lukas, additional, Siegwart Collier, Laura, additional, Simpson, Elizabeth, additional, Siqueira, David P., additional, Sitková, Zuzana, additional, Six, Johan, additional, Smiljanic, Marko, additional, Smith, Stuart W., additional, Smith‐Tripp, Sarah, additional, Somers, Ben, additional, Sørensen, Mia Vedel, additional, Souza, José João L. L., additional, Souza, Bartolomeu Israel, additional, Souza Dias, Arildo, additional, Spasojevic, Marko J., additional, Speed, James D. M., additional, Spicher, Fabien, additional, Stanisci, Angela, additional, Steinbauer, Klaus, additional, Steinbrecher, Rainer, additional, Steinwandter, Michael, additional, Stemkovski, Michael, additional, Stephan, Jörg G., additional, Stiegler, Christian, additional, Stoll, Stefan, additional, Svátek, Martin, additional, Svoboda, Miroslav, additional, Tagesson, Torbern, additional, Tanentzap, Andrew J., additional, Tanneberger, Franziska, additional, Theurillat, Jean‐Paul, additional, Thomas, Haydn J. D., additional, Thomas, Andrew D., additional, Tielbörger, Katja, additional, Tomaselli, Marcello, additional, Treier, Urs Albert, additional, Trouillier, Mario, additional, Turtureanu, Pavel Dan, additional, Tutton, Rosamond, additional, Tyystjärvi, Vilna A., additional, Ueyama, Masahito, additional, Ujházy, Karol, additional, Ujházyová, Mariana, additional, Uogintas, Domas, additional, Urban, Anastasiya V., additional, Urban, Josef, additional, Urbaniak, Marek, additional, Ursu, Tudor‐Mihai, additional, Vaccari, Francesco Primo, additional, Van de Vondel, Stijn, additional, van den Brink, Liesbeth, additional, Van Geel, Maarten, additional, Vandvik, Vigdis, additional, Vangansbeke, Pieter, additional, Varlagin, Andrej, additional, Veen, G. F., additional, Veenendaal, Elmar, additional, Venn, Susanna E., additional, Verbeeck, Hans, additional, Verbrugggen, Erik, additional, Verheijen, Frank G. A., additional, Villar, Luis, additional, Vitale, Luca, additional, Vittoz, Pascal, additional, Vives‐Ingla, Maria, additional, von Oppen, Jonathan, additional, Walz, Josefine, additional, Wang, Runxi, additional, Wang, Yifeng, additional, Way, Robert G., additional, Wedegärtner, Ronja E. M., additional, Weigel, Robert, additional, Wild, Jan, additional, Wilkinson, Matthew, additional, Wilmking, Martin, additional, Wingate, Lisa, additional, Winkler, Manuela, additional, Wipf, Sonja, additional, Wohlfahrt, Georg, additional, Xenakis, Georgios, additional, Yang, Yan, additional, Yu, Zicheng, additional, Yu, Kailiang, additional, Zellweger, Florian, additional, Zhang, Jian, additional, Zhang, Zhaochen, additional, Zhao, Peng, additional, Ziemblińska, Klaudia, additional, Zimmermann, Reiner, additional, Zong, Shengwei, additional, Zyryanov, Viacheslav I., additional, Nijs, Ivan, additional, and Lenoir, Jonathan, additional

Published
2022
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13. Drought risk in Scottish forests

Author

Locatelli, Tom, Beauchamp, Kate, Perks, Mike, Xenakis, Georgios, Nicoll, Bruce, and Morison, James

Subjects
climate change, Scotland, food and beverages, Forestry, drought, policy and practice
Abstract

Drought, as a significant risk to Scottish forests, is likely to be exacerbated by the changing climate. In light of increased drought events in recent years, we were asked to review the available evidence, and report on current drought-related research activities relevant to the forestry sector in Scotland. This report summarises the current state of research, describes ongoing projects and identifies knowledge gaps and potential research directions. Considerations around the policy and practice implications are made taking into account the available information. Drought, as a significant risk to Scottish forests, is likely to be exacerbated by the changing climate. In light of increased drought events in recent years, we were asked to review the available evidence, and report on current drought-related research activities relevant to the forestry sector in Scotland. This report summarises the current state of research, describes ongoing projects and identifies knowledge gaps and potential research directions. Considerations around the policy and practice implications are made taking into account the available information.

Published
2021

14. Mismatches between soil and air temperature

Author

Vaccari, Francesco, Seipel, Tim, Kljun, Natascha, Radujković, Dajana, Crowther, Thomas, Grelle, Achim, Mondoni, Andrea, Finckh, Manfred, Wang, Yifeng, Abedi, Mehdi, Simpson, Elizabeth, Verheijen, Frank, Andres, Christian, Assis, Rafael, Descombes, Patrice, Manco, Antonio, Lens , Luc, Pitacco, Andrea, Erfanian, Mohammad, Phoenix, Gareth, Iwata, Hiroki, de Andrade, Ana, Medinets, Sergiy, Dušek, Jiří, Bruna, Josef, Svoboda, Miroslav, Aalto, Juha, Buysse, Pauline, Lynn , Joshua, Hylander, Kristoffer, Rubtsov, Alexey, Macek, Martin, Freeman, Erika, Venn, Susanna, Bauters, Marijn, Puchalka, Radoslaw, Feigenwinter, Iris, Mackenzie, Roy, Tanneberger, Franziska, Normand, Signe, Tomaselli, Marcello, Okello, Joseph, Alatalo, Juha, Scharnweber, Tobias, Aerts, Rien, Wang, Runxi, Meysman, Filip, Jónsdóttir, Ingibjörg, Dimarco, Romina, Vandvik , Vigdis, Penczykowski, Rachel, Guénard, Benoit, Nouvellon, Yann, Spasojevic, Marko, Svátek, Martin, Barthel, Matti, Stanisci, Angela, Yu, Zicheng, Nuñez, Martin, Cesarz, Simone, Van Meerbeek, Koenraad, Candan, Onur, Jucker, Tommaso, Ahmadian, Negar, Way, Robert, Ashcroft, Michael, Kolle, Olaf, Pitteloud, Camille, Høye, Toke, Montagnani, Leonardo, Vittoz, Pascal, Dolezal, Jiri, Goeckede, Mathias, Schmidt, Marius, Moiseev, Dmitry, Goded, Ignacio, Benito-Alonso, José-Luis, di Cella, Umberto, Convey, Peter, Lorite, Juan, Sagot, Clotilde, Bader, Maaike, Shekhar, Ankit, Porro, Francesco, Jastrzebowski, Szymon, Manca, Giovanni, Helfter, Carole, Exton, Dan, Smith, Stuart, Olejnik, Janusz, Cremonese, Edoardo, Pearse, William, Jump, Alistair, Pastor, Ada, Sarneel, Judith, Matula, Radim, Pauli, Harald, Stemkovski, Michael, Dick, Jan, Lohila, Annalea, Trouillier, Mario, Man, Matěj, Björk, Robert, Sewerniak, Piotr, Géron, Charly, Bon, Matteo, Santos, Cinthya, Curtis, Robin, Kollár, Jozef, Vives-Ingla, Maria, Pio, Casimiro, DIAZ, Jose, Boike, Julia, Basham, Edmund, Liljebladh, Bengt, Rossi, Graziano, Siqueira, David, Mosedale, Jonathan, Varlagin, Andrej, Máliš, František, Laska, Kamil, RENAULT, David, Verbeeck, Hans, Heinesch, Bernard, García, María, Zhang, Zhaochen, Sidenko, Nikita, Poyatos, Rafael, Bjornsdottir, Katrin, Hrbacek, Filip, Andrews, Christopher, Senior, Rebecca, Jactel, Hervé, Wilmking, Martin, Choler, Philippe, Aschero, Valeria, Naujokaitis-Lewis, Ilona, Lamprecht, Andrea, Jimenez, Juan, Khuroo, Anzar, Phartyal, Shyam, Moiseev, Pavel, García, Rafael, Zyryanov, Viacheslav, Kemppinen, Julia, Yang , Yan, Van Geel, Maarten, Nardino, Marianna, Malfasi, Francesco, Haider, Sylvia, Hamid, Maroof, Leihy, Rachel, de Pablo, Miguel, Rossi, Christian, Urban, Anastasiya, Erschbamer, Brigitta, Bell, Michael, Marchesini, Luca, Urbaniak, Marek, Zong, Shengwei, Ammann, Christof, Bahalkeh, Khadijeh, Smiljanic, Marko, Uogintas, Domas, Xenakis, Georgios, Sitková, Zuzana, Stoll, Stefan, Haase, Peter, Hermanutz, Luise, Peichl, Matthias, Altman, Jan, Verbruggen, Erik, Čiliak, Marek, Thomas, Andrew, Assmann, Jakob, Tyystjärvi, Vilna, Panov, Alexey, Milbau, Ann, Nagy, Laszlo, Kelly, Julia, Pärtel, Meelis, Campoe, Otávio, Myers, Jonathan, Muffler, Lena, Juszczak, Radoslaw, Hoffrén, Raúl, Pavelka, Marian, Plichta, Roman, Munoz-Rojas, Miriam, Niittynen, Pekka, Daskalova, Gergana, Maclean, Ilya, Alexander, Jake, Carnicer, Jofre, Herbst, Mathias, Larson, Christian, Cannone, Nicoletta, Arzac, Alberto, Ujházyová, Mariana, Jentsch, Anke, Penuelas, Josep, Nosetto, Marcelo, Chown, Steven, Kanka, Róbert, Walz, Josefine, Rixen, Christian, Fernández-Pascual, Eduardo, Steinbauer, Klaus, Zellweger, Florian, Frei, Esther, Scott, Tony, Erickson, Todd, Luoto, Miska, Wedegärtner, Ronja, Bravo, Jhonatan, Ujházy, Karol, Zhang, Jian, Järveoja, Järvi, Nijs, Ivan, Olesen, Jørgen, Hepenstrick, Daniel, Greenwood, Sarah, Buchmann, Nina, von Oppen, Jonathan, Deronde, Bart, Merinero, Sonia, Semenchuk, Philipp, Myers-Smith, Isla, Steinwandter, Michael, Dengler, Jürgen, Hammerle, Albin, Kovács, Bence, Forte, Tai, Haugum, Siri, Klemedtsson, Leif, Homeier, Jürgen, Calzado, M., Chojnicki, Bogdan, Ardö, Jonas, Scholten, Thomas, Risch, Anita, Robroek, Bjorn, Larson, Keith, Nilsson, Matts, Higgens, Rebecca, Magliulo, Enzo, Gharun, Mana, Fenu, Giuseppe, Herberich, Maximiliane, Newling, Emily, Vangansbeke, Pieter, Orsenigo, Simone, Souza, José, Bokhorst, Stef, Knohl, Alexander, Spicher, Fabien, Di Cecco, Valter, Ogée, Jérôme, Ursu, Tudor-Mihai, Rocha, Adrian, Dorrepaal, Ellen, Björkman, Mats, Kreyling, Juergen, Treier, Urs, van den Hoogen, Johan, Loubet, Benjamin, Opedal, Øystein, Bazzichetto, Manuele, Vitale, Luca, Blonder, Benjamin, Ejtehadi, Hamid, Speed, James, Boeckx, Pascal, Ziemblińska, Klaudia, Dahlberg, C., Carbognani, Michele, Gobin, Anne, Remmers, Wolfram, Arriga, Nicola, Thomas, Haydn, Marciniak, Felipe, Remmele, Sabine, Collier, Laura, Wingate, Lisa, Seeber, Julia, Cooper, Elisabeth, Steinbrecher, Rainer, Barrio, Isabel, Hampe, Arndt, Ogaya, Romà, Michaletz, Sean, Moriana-Armendariz, Mikel, le Maire, Guerric, Abdalaze, Otar, Guillemot, Joannès, Mörsdorf, Martin, Canessa, Rafaella, Tanentzap, Andrew, Backes, Amanda, Poulenard, Jérôme, De Frenne, Pieter, Graae, Bente, Yu, Kailiang, Palaj, Andrej, Meeussen, Camille, Mazzolari, Ana, Casanova-Katny, Angélica, Manolaki, Paraskevi, Niessner, Armin, Van de Vondel, Stijn, Wohlfahrt, Georg, Fuentes-Lillo, Eduardo, Bailey, Joseph, Petraglia, Alessandro, Kašpar, Vít, Goulding, Keith, Somers, Ben, Schwartz, Naomi, Smith-Tripp, Sarah, Lenoir, Jonathan, de Cássia Guimarães Mesquita, Rita, Aartsma, Peter, Urban, Josef, Eklundh, Lars, Roupsard, Olivier, Curasi, Salvatore, Greise, Caroline, Ferlian, Olga, Randall, Krystal, Camargo, José, Meusburger, Katrin, Siebicke, Lukas, Ueyama, Masahito, Eisenhauer, Nico, Brum, Barbara, Kotowska, Martyna, Stiegler, Christian, Kazakis, George, Hörtnagl, Lukas, Berauer, Bernd, Jackowicz-Korczynski, Marcin, Winkler, Manuela, Hik, David, Pauchard, Aníbal, Fazlioglu, Fatih, Contador, Tamara, Turtureanu, Pavel, Souza, Bartolomeu, Manise, Tanguy, Cutini, Maurizio, Benavides, Juan, Stephan, Jörg, Tutton, Rosamond, Di Musciano, Michele, Barros, Agustina, Kopecký, Martin, Della Chiesa, Stefano, Ghosn, Dany, Haesen, Stef, Ahrends, Antje, Wipf, Sonja, Zimmermann, Reiner, Tagesson, Torbern, Maier, Regine, Wild, Jan, Tielbörger, Katja, Zhao, Peng, Prokushkin, Anatoly, Kobler, Johannes, Klisz, Marcin, Pușcaș, Mihai, Veen, G., Villar, Luis, Bjerke, Jarle, Wilkinson, Matthew, Allonsius, Camille, Dias, Arildo, Six, Johan, Gigauri, Khatuna, Pampuch, Timo, Theurillat, Jean-Paul, Cifuentes, Edgar, Portillo-Estrada, Miguel, Hederová, Lucia, Klinges, David, Govaert, Sanne, Scheffers, Brett, Eugster, Werner, Guglielmin, Mauro, Medinets, Volodymyr, Lang, Simone, Pellissier, Loïc, Niedrist, Georg, Fanin, Nicolas, Nicklas, Lena, Schmeddes, Jonas, Veenendaal, Elmar, Barančok, Peter, Weigel, Robert, van den Brink, Liesbeth, Sørensen, Mia, Gottschall, Felix, Ewers, Robert, Halbritter, Aud, and Lembrechts, Jonas

Subjects
bepress|Physical Sciences and Mathematics, bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science, bepress|Life Sciences, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology, bepress|Physical Sciences and Mathematics|Earth Sciences, bepress|Physical Sciences and Mathematics|Environmental Sciences, bepress|Life Sciences|Ecology and Evolutionary Biology, bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring
Abstract

Research in environmental science relies heavily on global climatic grids derived from estimates of air temperature at around 2 meter above ground1-3. These climatic grids however fail to reflect conditions near and below the soil surface, where critical ecosystem functions such as soil carbon storage are controlled and most biodiversity resides4-8. By using soil temperature time series from over 8500 locations across all of the world’s terrestrial biomes4, we derived global maps of soil temperature-related variables at 1 km resolution for the 0–5 and 5–15 cm depth horizons. Based on these maps, we show that mean annual soil temperature differs markedly from the corresponding 2 m gridded air temperature, by up to 10°C, with substantial variation across biomes and seasons. Soils in cold and/or dry biomes are annually substantially warmer (3.6°C ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are slightly cooler (0.7 ± 2.3°C). As a result, annual soil temperature varies less (by 17%) across the globe than air temperature. The effect of macroclimatic conditions on the difference between soil and air temperature highlights the importance of considering that macroclimate warming may not result in the same level of soil temperature warming. Similarly, changes in precipitation could alter the relationship between soil and air temperature, with implications for soil-atmosphere feedbacks9. Our results underpin that the impacts of climate and climate change on biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments.

Published
2021

15. Effects of clearfell harvesting on soil CO2, CH4 and N2O fluxes in an upland Sitka spruce stand in England

Author

Yamulki, sirwan, Forster, Jack, Xenakis, Georgios, Ash, Adam, Brunt, Jacqui, Perks, Mike, and Morison, James

Subjects
QE1-996.5, TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, Ecology, Life, QH501-531, soil GHG, temperature, moisture, forest clear-fell, Geology, QH540-549.5
Abstract

The effect of clear-fell harvesting on soil greenhouse gas (GHG) fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) was assessed in a Sitka spruce forest growing on a peaty gley organo-mineral soil in northern England. Fluxes from the soil and litter layer were measured monthly by the closed chamber method and gas chromatography over 4 years in two mature stands, with one area harvested after the first year. Concurrent measurements of soil temperature and moisture helped to elucidate reasons for the changes in fluxes. In the 3 years after felling, there was a significant increase in the soil temperature, particularly between June and November (3 to 5 ∘C higher), and in soil moisture, which was 62 % higher in the felled area, and these had pronounced effects on the GHG balance in addition to the removal of the trees and their carbon input to the soil. Annual soil CO2 effluxes reduced to almost a third in the first year after felling (a drop from 24.0 to 8.9 t CO2 ha−1 yr−1) and half in the second and third year (mean 11.8 t CO2 ha−1 yr−1) compared to before felling, while those from the unfelled area were little changed. Annual effluxes of N2O more than doubled in the first two years (from 1.0 to 2.3 and 2.5 t CO2e ha−1 yr−1, respectively), although by the third year they were only 20 % higher (1.2 t CO2e ha−1 yr−1). CH4 fluxes changed from a small net uptake of −0.03 t CO2e ha−1 yr−1 before felling to a small efflux increasing over the 3 years to 0.34 t CO2e ha−1 yr−1, presumably because of the wetter soil after felling. Soil CO2 effluxes dominated the annual net GHG emission when the three gases were compared using their global warming potential (GWP), but N2O contributed up to 20 % of this. This study showed fluxes of CO2, CH4, and N2O responded differently to clear-felling due to the significant changes in soil biotic and abiotic factors and showed large variations between years. This demonstrates the need for multi-year measurements of all GHGs to enable a robust estimate of the effect of the clear-fell phase on the GHG balance of managed forests. This is one of very few multi-year monitoring studies to assess the effect of clear-fell harvesting on soil GHG fluxes.

Published
2021

19. Calibration and validation of a simplified process-based model for the prediction of the carbon balance of Scottish Sitka spruce (Picea sitchensis) plantations

Author

Minunno, Francesco, Xenakis, Georgios, Perks, Michael P., and Mencuccini, Maurizio

Subjects
Spruce -- Chemical properties -- Environmental aspects, Prediction (Logic) -- Methods, Carbon sequestration -- Methods, Earth sciences
Abstract

There is increasing recognition that forestry provides a low cost and robust means of climate change abatement through carbon sequestration and substitution. However, current understanding of forest ecosystem carbon exchange and forest-atmosphere interactions are often inadequately characterized by existing empirical growth models with resulting poor representation for regional extrapolations. In this paper, we describe the parameterisation and independent validation, against both eddy covariance and forest growth experimental data, of a process-oriented model 3PGN to provide assessments of carbon sequestration of Sitka spruce (Picea sitchensis (Bong.) Carriere) plantations across Scotland. In comparison with eddy covariance measurements, the model predicted all of the major annual carbon fluxes, i.e., gross primary production ([P.sub.G]), net ecosystem production ([P.sub.E), and ecosystem respiration ([R.sub.E), with biases lower than 10%. At a monthly time step, only Pa and Pe were accurately estimated, whereas [R.sub.E] was not. At longer time scales (i.e., several decades), the model reliably represented the major patterns of the carbon balance. Soil type was identified as the important factor influencing site productivity; fertilization practices did not alter long-term site nutritional status. The analyses also highlighted the potential impact of carbon loss from carbon-rich soils, which can result in differences between optimal rotation length for carbon sequestration and for timber production. Resume: Il est de plus en plus reconnu que la foresterie fournit un moyen economique et robuste d'attenuer les changements climatiques par la substitution et la sequestration du carbone. Cependant, la comprehension actuelle des echanges de carbone dans les ecosystemes forestiers et les interactions entre la foret et l'atmosphere sont souvent inadequatement caracterisees par les modeles de croissance empiriques existants, ce qui entraine une mauvaise representation dans le cas des extrapolations regionales. Dans cet article, nous decrivons le parametrage et la validation independante, a partir de donnees experimentales de correlation turbulente et de croissance forestiere, d'un modele 3-PGN base sur les processus afin d'obtenir des estimations de la sequestration du carbone dans les plantations d'epinette de Sitka (Picea sitchensis (Bong.) Carriere) en Ecosse. Comparativement aux mesures de correlation turbulente, le modele a predit tous les principaux flux annuels de carbone, c.-a-d. la production primaire brute (Pg), la production nette de l'ecosysteme (Pe) et la respiration de l'ecosysteme (Pe), avec des biais inferieur a 10 %. Sur une base mensuelle, seules les valeurs de Pg et Pe etaient predites avec exactitude tandis que la valeur de Pe ne l'etait pas. A des echelles temporelles plus longues (c.-a-d. plusieurs decennies), le modele refletait de maniere fiable les principaux patrons du bilan du carbone. Le type de sol a ete identifie comme etant le principal facteur qui influencait la productivite de la station; a long terme, les pratiques de fertilisation n'ont pas modifie le statut nutritionnel de la station. Les analyses ont aussi fait ressortir l'impact potentiel des pertes de carbone dans les sols riches en carbone. Ces pertes peuvent entrainer des differences dans la duree optimale de la rotation pour la sequestration du carbone et pour la production de matiere ligneuse. [Traduit par la Redaction], Introduction As demonstrated by recent international political agreements (United Nations Framework Convention on Climate Change (UNFCCC) 2007), forests are attributed an important role as a biotic sink for atmospheric carbon [...]

Published
2010
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23. Seasonal patterns of greenhouse gas emissions from a forest‐to‐bog restored site in northern Scotland: Influence of microtopography and vegetation on carbon dioxide and methane dynamics.

Author

Mazzola, Valeria, Perks, Mike P., Smith, Jo, Yeluripati, Jagadeesh, and Xenakis, Georgios

Subjects
CARBON dioxide, BOGS, GAS dynamics, GREENHOUSE gases, CARBON cycle, METHANE, PEATLAND restoration
Abstract

Northern peatlands play an important role in the regulation of the atmospheric greenhouse gas (GHG) balance, functioning as a net carbon sink with low rates of organic decomposition. However, perturbations such as drainage increase peat oxidation, which may lead to enhanced gaseous release of carbon. For this reason, the number of restoration projects that aim to rewet blanket bogs has increased in the last few years, but there is still a lack of understanding of the impact of restoration on emissions of greenhouse gases, such as methane, particularly in sites restored from forestry. In this paper, we investigate the seasonal greenhouse gas dynamics in a forest‐to‐bog restoration site in Scotland. We analyse the effects of restoration on both carbon dioxide and methane fluxes, and investigate which site factors (microtopography, vegetation type, soil moisture and temperature) drive the processes of gaseous exchange between the bog surface and the atmosphere. Our results show that the original surface is near greenhouse gase equilibrium at −0.28 gCO2eq m2·day−1 and that microtopographic features act as a net greenhouse gas sink (ridges = −0.94 gCO2eq m2·day−1 and furrows = −0.86 gCO2eq m2·day−1), whereas the bog pool is a net source of greenhouse gases (0.98 gCO2eq m2·day−1). We found different vegetation species play a key role in greenhouse gas flux dynamics, especially in forestry‐derived microtopographical features, and their presence and influence on greenhouse gas dynamics should be accounted for to provide a more comprehensive understanding of emissions associated with restoration management practices. Highlights: GHG (CO2 and CH4) dynamics in a boreal peatland restored from forestry are mainly affected by microtopography and vegetation.Forestry‐derived microforms (ridges and furrows) are better GHG sinks than pools (GHG emitters) and original surfaces (near GHG equilibrium).The presence of Trichophorum cespitosum leads to higher CH4 emissions.Restoration practices like terraforming may create a short‐term pulse net GHG emission due to an increase of both CH4 and CO2 fluxes. [ABSTRACT FROM AUTHOR]

Published
2021
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24. Effects of clearfell harvesting on soil CO2, CH4 and N2O fluxes in an upland Sitka spruce stand in England.

Author

Yamulki, Sirwan, Forster, Jack, Xenakis, Georgios, Ash, Adam, Brunt, Jacqui, Perks, Mike, and Morison, James I. L.

Subjects
SITKA spruce, SOIL moisture measurement, SOIL temperature measurement, UPLANDS, SOILS, SOIL air
Abstract

The effect of clearfell harvesting on soil greenhouse gas (GHG) fluxes of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) was assessed in a Sitka spruce forest growing on a peaty gley organo-mineral soil in northern England. Fluxes from the soil and litter layer were measured monthly by the closed chamber method and gas chromatography over four years in two mature stands, with one area harvested after the first year. Concurrent measurements of soil temperature and moisture helped to elucidate reasons for the changes in fluxes. In the three years after felling, there was a significant increase in the soil temperature, particularly between June and November (3 to 5 °C higher), and in soil moisture which was 62 % higher in the felled area, and these had pronounced effects on the GHG balance, in addition to the removal of the trees and their carbon input to the soil. Annual soil CO2 effluxes reduced to almost a third in the first year after felling (a drop from 24.0 to 8.9 t CO2 ha-1 yr-1) and half in the second and third year (mean 11.8 t CO2 ha-1 yr-1) compared to before felling, while those from the unfelled area were little changed. Annual effluxes of N2O more than doubled in the first two years (from 1.0 to 2.3 and 2.5 t CO2e ha-1 yr-1, respectively), although by the third year they were only 20 % higher (1.2 t CO2e ha-1 yr-1). CH4 fluxes changed from a small net uptake of -0.03 t CO2e ha-1 yr-1 before felling to a small efflux increasing over the 3 years to 0.34 t CO2e ha-1 yr-1, presumably because of the wetter soil after felling. Soil CO2 effluxes dominated the total net GHG emission calculated using the global warming potential (GWP) of the three gases, but N2O contributed up to 20 % of the total annual emissions. This study showed fluxes of CO2, CH4 and N2O responded differently to clearfelling due to the significant changes in soil biotic and abiotic factors and showed large variations between years. This demonstrates the need for multi-year measurements of all GHGs to enable a robust estimate of the effect of the clearfell phase on the GHG balance of managed forests. This is one of a very few multi-year monitoring studies to assess the effect of clearfell harvesting on soil GHG fluxes. [ABSTRACT FROM AUTHOR]

Published
2021
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26. A comparison of models for quantifying growth and standing carbon in UK Scots pine forests.

Author

Lonsdale, Jack, Xenakis, Georgios, Mencuccini, Maurizio, and Perks, Mike

Subjects
*SCOTS pine, *CARBON content of plants, *PLANT growth, *CARBON sequestration, *FOREST management, *FORESTS & forestry
Abstract

Scots pine is the most abundant native conifer in the UK. A stand level dynamic growth (SLeDG) model is parametrised for British Scots pine stands for the first time. This model predicts stands annually based on their current state, and allows for changes in forest management. Stand growth and carbon storage predictions using this model were compared with those of the yield look-up package ForestYield, and a process-based model (3PGN). Predictions were compared graphically over an 100 year rotation, and strengths and weaknesses of each were considered. The SLeDG parametrisation provided forecasts of Scots pine growth with percentage mean absolute difference < 12% for all state variables. The model comparison showed that similar outputs were predicted by all three models, with the greatest variation in the yield table based prediction of volume and biomass. Future advances in data availability and computing power should allow for greater use of process-based models, but in the interim more flexible dynamic based growth models may be more useful than static yield tables for providing predictions which extend to non-standard management prescriptions and estimates of early growth and yield. [ABSTRACT FROM AUTHOR]

Published
2015
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29. Assessment of CO2 and CH4 fluxes from a forest-to-bog restoration in Scotland.

Author

Mazzola, Valeria, Xenakis, Georgios, Smith, Jo, Yeluripati, Jagadeesh, and Perks, Mike

Subjects
*GREENHOUSE gas laws, *GREENHOUSE gases, *PEATLAND restoration, *CLIMATE change mitigation, *TREE felling, *BOGS, *LAND management, *PEAT soils
Abstract

Northern Peatlands play an important role in the regulation of the atmospheric greenhousegas (GHG) balance. In Scotland, deep peats (&#x003E;0.5m) cover an area of approximately 18,000km2 and under undisturbed conditions they function as a net C sink due to organic matteraccumulation with low rates of organic decomposition. Modifications like drainage increaseaerobic decomposition which may lead to an enhancement of gaseous greenhouse gas (GHG)release. For this reason, many blanket bogs are protected by environmental legislation andthe number of restoration projects has increased over recent years. Restoration isundertaken without key underpinning knowledge of the impact of restoration uponGHG dynamics, particularly for sites restored from commercial forestry. The FlowCountry of Northern Scotland represents an extended area of blanket bogs and poolsof about 4,000 km2 and it hosts the largest stretch of deep peats in the country,some of them afforested, others nearly undisturbed or under active restoration,involving tree removal and site modification to aid rewetting of the peat surface. Wesummarise an investigation of the effect of forest-bog restoration practices focusing onthe inter-annual climatic variability driving carbon dioxide (CO2) and methane(CH4) exchange dynamics on a deep peat soil area located in the Royal Society forProtection of Birds (RSPB) nature reserve of Forsinard that has undergone restorationwith tree felling in 2003 and management promoting rewetting in April 2018. Fluxmeasurements were collected using different chambers techniques, with collarspositioned along a transect in which different vegetation types and micro topographywere represented (i.e. ridges, furrows, original surfaces and pools). Gas analysiswas performed both in-situ using a Los-Gatos Ultraportable Gas Analyser and bygas chromatography from static chambers. Our results show that CO2 exchange isprimarily controlled by soil moisture and microtopography (e.g. higher CO2 fluxes onridges), while undisturbed bog areas and pools could be regarded as hotspots formethane emissions. Average annual emission for undisturbed bog surface was 4.6gCO2eq m−2 y−1 and pools emitted 16g CO2eq m−2 y−1 in comparison to ridges(1.4g CO2eq m−2 y−1) and furrows (2.1g CO2eq m−2 y−1). Methane exchange isalso likely to be influenced by vegetation composition. Plots with abundance ofvascular plants like Tricophorum spp. and Eriophorum spp. showed higher CH4fluxes (12g CO2eq m−2 y−1) compared to Sphagnum dominated locations (4.1gCO2eq m−2 y−1). Preliminary interpretation from this study suggests restorationpractices, that aim to bring the peatland back to pristine or more natural (pre-forestry)conditions, cause an increase in methane emissions, since original surfaces and pools(which appear to be hotspots for this GHG) will extend post restoration. This studywill provide a better process-based understanding of the C and GHG dynamicsassociated with peatland restoration, and will make a significant contribution tobetter informing the development of rural land management policy, especially inrelation to climate change mitigation and reporting at the national and internationallevel. [ABSTRACT FROM AUTHOR]

Published
2019

30. Global maps of soil temperature

Author

Lembrechts, Jonas J, Van Den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopecký, Martin, Luoto, Miska, Maclean, Ilya MD, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Scheffers, Brett R, Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M, Alexander, Jake M, Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ardö, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L, Assmann, Jakob Johann, Bader, Maaike Y, Bahalkeh, Khadijeh, Barančok, Peter, Barrio, Isabel C, Barros, Agustina, Barthel, Matti, Basham, Edmund W, Bauters, Marijn, Bazzichetto, Manuele, Marchesini, Luca Belelli, Bell, Michael C, Benavides, Juan C, Benito Alonso, José Luis, Berauer, Bernd J, Bjerke, Jarle W, Björk, Robert G, Björkman, Mats P, Björnsdóttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, Bárbara NS, Brůna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, José Luís, Campoe, Otávio C, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova-Katny, Angélica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L, Cifuentes, Edgar F, Čiliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J, Cremonese, Edoardo, Curasi, Salvatore R, Curtis, Robin, Cutini, Maurizio, Dahlberg, C Johan, Daskalova, Gergana N, De Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, Jürgen, Deronde, Bart, Descombes, Patrice, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D, Dolezal, Jiri, Dorrepaal, Ellen, Dušek, Jiří, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E, Erschbamer, Brigitta, Eugster, Werner, Ewers, Robert M, Exton, Dan A, Fanin, Nicolas, Fazlioglu, Fatih, Feigenwinter, Iris, Fenu, Giuseppe, Ferlian, Olga, Fernández Calzado, M Rosa, Fernández-Pascual, Eduardo, Finckh, Manfred, Higgens, Rebecca Finger, Forte, T'ai GW, Freeman, Erika C, Frei, Esther R, Fuentes-Lillo, Eduardo, García, Rafael A, García, María B, Géron, Charly, Gharun, Mana, Ghosn, Dany, Gigauri, Khatuna, Gobin, Anne, Goded, Ignacio, Goeckede, Mathias, Gottschall, Felix, Goulding, Keith, Govaert, Sanne, Graae, Bente Jessen, Greenwood, Sarah, Greiser, Caroline, Grelle, Achim, Guénard, Benoit, Guglielmin, Mauro, Guillemot, Joannès, Haase, Peter, Haider, Sylvia, Halbritter, Aud H, Hamid, Maroof, Hammerle, Albin, Hampe, Arndt, Haugum, Siri V, Hederová, Lucia, Heinesch, Bernard, Helfter, Carole, Hepenstrick, Daniel, Herberich, Maximiliane, Herbst, Mathias, Hermanutz, Luise, Hik, David S, Hoffrén, Raúl, Homeier, Jürgen, Hörtnagl, Lukas, Høye, Toke T, Hrbacek, Filip, Hylander, Kristoffer, Iwata, Hiroki, Jackowicz-Korczynski, Marcin Antoni, Jactel, Hervé, Järveoja, Järvi, Jastrzębowski, Szymon, Jentsch, Anke, Jiménez, Juan J, Jónsdóttir, Ingibjörg S, Jucker, Tommaso, Jump, Alistair S, Juszczak, Radoslaw, Kanka, Róbert, Kašpar, Vít, Kazakis, George, Kelly, Julia, Khuroo, Anzar A, Klemedtsson, Leif, Klisz, Marcin, Kljun, Natascha, Knohl, Alexander, Kobler, Johannes, Kollár, Jozef, Kotowska, Martyna M, Kovács, Bence, Kreyling, Juergen, Lamprecht, Andrea, Lang, Simone I, Larson, Christian, Larson, Keith, Laska, Kamil, Le Maire, Guerric, Leihy, Rachel I, Lens, Luc, Liljebladh, Bengt, Lohila, Annalea, Lorite, Juan, Loubet, Benjamin, Lynn, Joshua, Macek, Martin, Mackenzie, Roy, Magliulo, Enzo, Maier, Regine, Malfasi, Francesco, Máliš, František, Man, Matěj, Manca, Giovanni, Manco, Antonio, Manise, Tanguy, Manolaki, Paraskevi, Marciniak, Felipe, Matula, Radim, Mazzolari, Ana Clara, Medinets, Sergiy, Medinets, Volodymyr, Meeussen, Camille, Merinero, Sonia, Mesquita, Rita De Cássia Guimarães, Meusburger, Katrin, Meysman, Filip, Michaletz, Sean T, Milbau, Ann, Moiseev, Dmitry, Moiseev, Pavel, Mondoni, Andrea, Monfries, Ruth, Montagnani, Leonardo, Moriana-Armendariz, Mikel, Morra Di Cella, Umberto, Mörsdorf, Martin, Mosedale, Jonathan R, Muffler, Lena, Muñoz-Rojas, Miriam, Myers, Jonathan A, Myers-Smith, Isla H, Nagy, Laszlo, Nardino, Marianna, Naujokaitis-Lewis, Ilona, Newling, Emily, Nicklas, Lena, Niedrist, Georg, Niessner, Armin, Nilsson, Mats B, Normand, Signe, Nosetto, Marcelo D, Nouvellon, Yann, Nuñez, Martin A, Ogaya, Romà, Ogée, Jérôme, Okello, Joseph, Olejnik, Janusz, Olesen, Jørgen Eivind, Opedal, Øystein H, Orsenigo, Simone, Palaj, Andrej, Pampuch, Timo, Panov, Alexey V, Pärtel, Meelis, Pastor, Ada, Pauchard, Aníbal, Pauli, Harald, Pavelka, Marian, Pearse, William D, Peichl, Matthias, Pellissier, Loïc, Penczykowski, Rachel M, Penuelas, Josep, Petit Bon, Matteo, Petraglia, Alessandro, Phartyal, Shyam S, Phoenix, Gareth K, Pio, Casimiro, Pitacco, Andrea, Pitteloud, Camille, Plichta, Roman, Porro, Francesco, Portillo-Estrada, Miguel, Poulenard, Jérôme, Poyatos, Rafael, Prokushkin, Anatoly S, Puchalka, Radoslaw, Pușcaș, Mihai, Radujković, Dajana, Randall, Krystal, Ratier Backes, Amanda, Remmele, Sabine, Remmers, Wolfram, Renault, David, Risch, Anita C, Rixen, Christian, Robinson, Sharon A, Robroek, Bjorn JM, Rocha, Adrian V, Rossi, Christian, Rossi, Graziano, Roupsard, Olivier, Rubtsov, Alexey V, Saccone, Patrick, Sagot, Clotilde, Sallo Bravo, Jhonatan, Santos, Cinthya C, Sarneel, Judith M, Scharnweber, Tobias, Schmeddes, Jonas, Schmidt, Marius, Scholten, Thomas, Schuchardt, Max, Schwartz, Naomi, Scott, Tony, Seeber, Julia, Segalin De Andrade, Ana Cristina, Seipel, Tim, Semenchuk, Philipp, Senior, Rebecca A, Serra-Diaz, Josep M, Sewerniak, Piotr, Shekhar, Ankit, Sidenko, Nikita V, Siebicke, Lukas, Siegwart Collier, Laura, Simpson, Elizabeth, Siqueira, David P, Sitková, Zuzana, Six, Johan, Smiljanic, Marko, Smith, Stuart W, Smith-Tripp, Sarah, Somers, Ben, Sørensen, Mia Vedel, Souza, José João LL, Souza, Bartolomeu Israel, Souza Dias, Arildo, Spasojevic, Marko J, Speed, James DM, Spicher, Fabien, Stanisci, Angela, Steinbauer, Klaus, Steinbrecher, Rainer, Steinwandter, Michael, Stemkovski, Michael, Stephan, Jörg G, Stiegler, Christian, Stoll, Stefan, Svátek, Martin, Svoboda, Miroslav, Tagesson, Torbern, Tanentzap, Andrew J, Tanneberger, Franziska, Theurillat, Jean-Paul, Thomas, Haydn JD, Thomas, Andrew D, Tielbörger, Katja, Tomaselli, Marcello, Treier, Urs Albert, Trouillier, Mario, Turtureanu, Pavel Dan, Tutton, Rosamond, Tyystjärvi, Vilna A, Ueyama, Masahito, Ujházy, Karol, Ujházyová, Mariana, Uogintas, Domas, Urban, Anastasiya V, Urban, Josef, Urbaniak, Marek, Ursu, Tudor-Mihai, Vaccari, Francesco Primo, Van De Vondel, Stijn, Van Den Brink, Liesbeth, Van Geel, Maarten, Vandvik, Vigdis, Vangansbeke, Pieter, Varlagin, Andrej, Veen, GF, Veenendaal, Elmar, Venn, Susanna E, Verbeeck, Hans, Verbrugggen, Erik, Verheijen, Frank GA, Villar, Luis, Vitale, Luca, Vittoz, Pascal, Vives-Ingla, Maria, Von Oppen, Jonathan, Walz, Josefine, Wang, Runxi, Wang, Yifeng, Way, Robert G, Wedegärtner, Ronja EM, Weigel, Robert, Wild, Jan, Wilkinson, Matthew, Wilmking, Martin, Wingate, Lisa, Winkler, Manuela, Wipf, Sonja, Wohlfahrt, Georg, Xenakis, Georgios, Yang, Yan, Yu, Zicheng, Yu, Kailiang, Zellweger, Florian, Zhang, Jian, Zhang, Zhaochen, Zhao, Peng, Ziemblińska, Klaudia, Zimmermann, Reiner, Zong, Shengwei, Zyryanov, Viacheslav I, Nijs, Ivan, and Lenoir, Jonathan

Subjects
soil temperature, Climate Change, Temperature, soil-dwelling organisms, Microclimate, 15. Life on land, weather stations, near-surface temperatures, Soil, bioclimatic variables, 13. Climate action, temperature offset, global maps, Ecosystem
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-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 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.

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