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1. Author Correction: Diurnal temperature range as a key predictor of plants’ elevation ranges globally

Author

Gallou, Arnaud, Jump, Alistair S., Lynn, Joshua S., Field, Richard, Irl, Severin D. H., Steinbauer, Manuel J., Beierkuhnlein, Carl, Chen, Jan-Chang, Chou, Chang-Hung, Hemp, Andreas, Kidane, Yohannes, König, Christian, Kreft, Holger, Naqinezhad, Alireza, Nowak, Arkadiusz, Nuppenau, Jan-Niklas, Trigas, Panayiotis, Price, Jonathan P., Roland, Carl A., Schweiger, Andreas H., Weigelt, Patrick, Flantua, Suzette G. A., and Grytnes, John-Arvid

Published
2024
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2. Identifying drivers of non-stationary climate-growth relationships of European beech

Author

Leifsson, Christopher, Buras, Allan, Klesse, Stefan, Baittinger, Claudia, Bat-Enerel, Banzragch, Battipaglia, Giovanna, Biondi, Franco, Stajić, Branko, Budeanu, Marius, Čada, Vojtěch, Cavin, Liam, Claessens, Hugues, Čufar, Katarina, de Luis, Martin, Dorado-Liñán, Isabel, Dulamsuren, Choimaa, Garamszegi, Balázs, Grabner, Michael, Hacket-Pain, Andrew, Hansen, Jon Kehlet, Hartl, Claudia, Huang, Weiwei, Janda, Pavel, Jump, Alistair S., Kazimirović, Marko, Knutzen, Florian, Kreyling, Jürgen, Land, Alexander, Latte, Nicolas, Lebourgeois, François, Leuschner, Christoph, Longares, Luis A., Martinez del Castillo, Edurne, Menzel, Annette, Motta, Renzo, Muffler-Weigel, Lena, Nola, Paola, Panayatov, Momchil, Petritan, Any Mary, Petritan, Ion Catalin, Popa, Ionel, Roibu, Cǎtǎlin-Constantin, Rubio-Cuadrado, Álvaro, Rydval, Miloš, Scharnweber, Tobias, Camarero, J. Julio, Svoboda, Miroslav, Toromani, Elvin, Trotsiuk, Volodymyr, van der Maaten-Theunissen, Marieke, van der Maaten, Ernst, Weigel, Robert, Wilmking, Martin, Zlatanov, Tzvetan, Rammig, Anja, and Zang, Christian S.

Published
2024
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3. Diurnal temperature range as a key predictor of plants’ elevation ranges globally

Author

Gallou, Arnaud, Jump, Alistair S., Lynn, Joshua S., Field, Richard, Irl, Severin D. H., Steinbauer, Manuel J., Beierkuhnlein, Carl, Chen, Jan-Chang, Chou, Chang-Hung, Hemp, Andreas, Kidane, Yohannes, König, Christian, Kreft, Holger, Naqinezhad, Alireza, Nowak, Arkadiusz, Nuppenau, Jan-Niklas, Trigas, Panayiotis, Price, Jonathan P., Roland, Carl A., Schweiger, Andreas H., Weigelt, Patrick, Flantua, Suzette G. A., and Grytnes, John-Arvid

Published
2023
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6. SoilTemp: A global database of near‐surface temperature

Author

Lembrechts, Jonas J, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kopecký, Martin, Lenoir, Jonathan, Luoto, Miska, Maclean, Ilya MD, Roupsard, Olivier, Fuentes‐Lillo, Eduardo, García, Rafael A, Pellissier, Loïc, Pitteloud, Camille, Alatalo, Juha M, Smith, Stuart W, Björk, Robert G, Muffler, Lena, Backes, Amanda Ratier, Cesarz, Simone, Gottschall, Felix, Okello, Joseph, Urban, Josef, Plichta, Roman, Svátek, Martin, Phartyal, Shyam S, Wipf, Sonja, Eisenhauer, Nico, Pușcaș, Mihai, Turtureanu, Pavel D, Varlagin, Andrej, Dimarco, Romina D, Jump, Alistair S, Randall, Krystal, Dorrepaal, Ellen, Larson, Keith, Walz, Josefine, Vitale, Luca, Svoboda, Miroslav, Higgens, Rebecca Finger, Halbritter, Aud H, Curasi, Salvatore R, Klupar, Ian, Koontz, Austin, Pearse, William D, Simpson, Elizabeth, Stemkovski, Michael, Graae, Bente Jessen, Sørensen, Mia Vedel, Høye, Toke T, Calzado, M Rosa Fernández, Lorite, Juan, Carbognani, Michele, Tomaselli, Marcello, Forte, T'ai GW, Petraglia, Alessandro, Haesen, Stef, Somers, Ben, Van Meerbeek, Koenraad, Björkman, Mats P, Hylander, Kristoffer, Merinero, Sonia, Gharun, Mana, Buchmann, Nina, Dolezal, Jiri, Matula, Radim, Thomas, Andrew D, Bailey, Joseph J, Ghosn, Dany, Kazakis, George, Pablo, Miguel A, Kemppinen, Julia, Niittynen, Pekka, Rew, Lisa, Seipel, Tim, Larson, Christian, Speed, James DM, Ardö, Jonas, Cannone, Nicoletta, Guglielmin, Mauro, Malfasi, Francesco, Bader, Maaike Y, Canessa, Rafaella, Stanisci, Angela, Kreyling, Juergen, Schmeddes, Jonas, Teuber, Laurenz, Aschero, Valeria, Čiliak, Marek, Máliš, František, De Smedt, Pallieter, Govaert, Sanne, Meeussen, Camille, Vangansbeke, Pieter, Gigauri, Khatuna, Lamprecht, Andrea, Pauli, Harald, Steinbauer, Klaus, Winkler, Manuela, Ueyama, Masahito, and Nuñez, Martin A

Subjects
Climate Action, Climate Change, Ecosystem, Microclimate, Snow, Temperature, climate change, database, ecosystem processes, microclimate, soil climate, species distributions, temperature, topoclimate, Environmental Sciences, Biological Sciences, Ecology
Abstract

Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.

Published
2020

8. Jet stream position explains regional anomalies in European beech forest productivity and tree growth

Author

Dorado-Liñán, Isabel, Ayarzagüena, Blanca, Babst, Flurin, Xu, Guobao, Gil, Luis, Battipaglia, Giovanna, Buras, Allan, Čada, Vojtěch, Camarero, J. Julio, Cavin, Liam, Claessens, Hugues, Drobyshev, Igor, Garamszegi, Balázs, Grabner, Michael, Hacket-Pain, Andrew, Hartl, Claudia, Hevia, Andrea, Janda, Pavel, Jump, Alistair S., Kazimirovic, Marko, Keren, Srdjan, Kreyling, Juergen, Land, Alexander, Latte, Nicolas, Levanič, Tom, van der Maaten, Ernst, van der Maaten-Theunissen, Marieke, Martínez-Sancho, Elisabet, Menzel, Annette, Mikoláš, Martin, Motta, Renzo, Muffler, Lena, Nola, Paola, Panayotov, Momchil, Petritan, Any Mary, Petritan, Ion Catalin, Popa, Ionel, Prislan, Peter, Roibu, Catalin-Constantin, Rydval, Miloš, Sánchez-Salguero, Raul, Scharnweber, Tobias, Stajić, Branko, Svoboda, Miroslav, Tegel, Willy, Teodosiu, Marius, Toromani, Elvin, Trotsiuk, Volodymyr, Turcu, Daniel-Ond, Weigel, Robert, Wilmking, Martin, Zang, Christian, Zlatanov, Tzvetan, and Trouet, Valerie

Published
2022
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22. Widespread latitudinal asymmetry in the performance of marginal populations: A meta‐analysis

Author

Pulido, Fernando, primary, Castagneyrol, Bastien, additional, Rodríguez‐Sánchez, Francisco, additional, Cáceres, Yónatan, additional, Pardo, Adara, additional, Moracho, Eva, additional, Kollmann, Johannes, additional, Valladares, Fernando, additional, Ehrlén, Johan, additional, Jump, Alistair S., additional, Svenning, Jens‐Christian, additional, and Hampe, Arndt, additional

Published
2023
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25. Topography-driven isolation, speciation and a global increase of endemism with elevation

Author

Steinbauer, Manuel J., Field, Richard, Grytnes, John-Arvid, Trigas, Panayiotis, Ah-Peng, Claudine, Attorre, Fabio, Birks, H. John B., Borges, Paulo A. V., Cardoso, Pedro, Chou, Chang-Hung, De Sanctis, Michele, de Sequeira, Miguel M., Duarte, Maria C., Elias, Rui B., Fernández-Palacios, José María, Gabriel, Rosalina, Gereau, Roy E., Gillespie, Rosemary G., Greimler, Josef, Harter, David E. V., Huang, Tsurng-Juhn, Irl, Severin D. H., Jeanmonod, Daniel, Jentsch, Anke, Jump, Alistair S., Kueffer, Christoph, Nogué, Sandra, Otto, Rüdiger, Price, Jonathan, Romeiras, Maria M., Strasberg, Dominique, Stuessy, Tod, Svenning, Jens-Christian, Vetaas, Ole R., and Beierkuhnlein, Carl

Published
2016

33. 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 M D, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, and Jump, Alistair S.

Subjects
near-surface temperatures, bioclimatic variables, soil temperature, temperature offset, global maps, soil-dwelling organisms, weather stations, microclimate
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 8500 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.

Published
2022

34. The benefits of mountain woodland restoration

Author

Watts, Sarah H and Jump, Alistair S

Subjects
Environmental management, Conservation policy, Natural capital, Nature-based solutions, Climate change, Ecosystem services, Biodiversity, Montane scrub
Abstract

Mountain woodland ecotones require urgent action to reverse long-term habitat degradation and biodiversity loss. There is growing interest in restoring high-elevation woodland and scrub communities, harnessing planting and natural regeneration. Emissions offsetting has been a key driver, yet mountain systems offer slower mechanisms for biomass accumulation due to their typically smaller size, lower density and slower growth than forests at lower elevations. We argue that the natural capital afforded by mountain woodland restoration is far more comprehensive than carbon sequestration alone and encompasses an important array of ecosystem services and biodiversity gains. Improved opportunities for wildlife and people include natural hazard protection, sheltering, structural variability, vegetation diversity and recreation. Furthermore, mountain woodland restoration provides critically needed nature- based solutions for reducing threats from escalating climate change such as soil erosion, flooding, warming temperatures and extreme weather. It is imperative that these benefits are embedded within conservation policy and environmental incentives.

Published
2022

38. 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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47. Spectral response of chlorophyll content during leaf senescence in European beech trees

Author

Morley, Peter J, Jump, Alistair S, West, Martin D, and Donoghue, Daniel N M

Subjects
reflectance spectroscopy, plant stress, pigment, red edge, spectral indices, phenology
Abstract

Leaf chlorophyll content declines in response to environmental stressors and during natural senescence periods. Assessments of forest health and vulnerability to stressors require repeated measurements of forest health to quantify declines in chlorophyll content and identify shifts in the timing of key phenological events. Although remote sensing is ideal for making reliable and repeated forest health measurements to assess forest response to environmental change over large areas, reliable warning systems for monitoring plant health are lacking. To facilitate the estimation of chlorophyll content from remotely sensed data, we define the relationships between leaf chlorophyll content and spectral indices in European beech trees (Fagus sylvatica). We show that hand-held

Published
2020

48. Available and missing data to model impact of climate change on European forests

Author

Ruiz-Benito, Paloma, Vacchiano, Giorgio, Lines, Emily R, Reyer, Christopher P O, Ratcliffe, Sophia, Morin, Xavier, Hartig, Florian, Mäkelä, Annikki, Yousefpour, Rasoul, Chaves, Jimena E, Palacios-Orueta, Alicia, Benito-Garzón, Marta, Morales-Molino, Cesar, Julio Camarero, J, and Jump, Alistair S

Subjects
open access, data accessibility, harmonisation, forest responses to climate change, drivers, climatic extremes, data integration
Abstract

Climate change is expected to cause major changes in forest ecosystems during the 21st century and beyond. To assess forest impacts from climate change, the existing empirical information must be structured, harmonised and assimilated into a form suitable to develop and test state-of-the-art forest and ecosystem models. The combination of empirical data collected at large spatial and long temporal scales with suitable modelling approaches is key to understand forest dynamics under climate change. To facilitate data and model integration, we identified major climate change impacts observed on European forest functioning and summarised the data available for monitoring and predicting such impacts. Our analysis of c. 120 forest-related databases (including information from remote sensing, vegetation inventories, dendroecology, palaeoecology, eddy-flux sites, common garden experiments and genetic techniques) and 50 databases of environmental drivers highlights a substantial degree of data availability and accessibility. However, some critical variables relevant to predicting European forest responses to climate change are only available at relatively short time frames (up to 10-20 years), including intra-specific trait variability, defoliation patterns, tree mortality and recruitment. Moreover, we identified data gaps or lack of data integration particularly in variables related to local adaptation and phenotypic plasticity, dispersal capabilities and physiological responses. Overall, we conclude that forest data availability across Europe is improving, but further efforts are needed to integrate, harmonise and interpret this data (i.e. making data useable for non-experts). Continuation of existing monitoring and networks schemes together with the establishments of new networks to address data gaps is crucial to rigorously predict climate change impacts on European forests.

Published
2020

49. SoilTemp: A global database of near-surface temperature

Author

Lembrechts, Jonas J., Aalto, Juha, Ashcroft, Michael B., De Frenne, Pieter, Kopecký, Martin, Lenoir, Jonathan, Luoto, Miska, Maclean, Ilya M.D., Roupsard, Olivier, Fuentes-Lillo, Eduardo, García, Rafael A., Pellissier, Loïc, Pitteloud, Camille, Alatalo, Juha M., Smith, Stuart W., Björk, Robert G., Muffler, Lena, Ratier Backes, Amanda, Cesarz, Simone, Gottschall, Felix, Okello, Joseph, Urban, Josef, Plichta, Roman, Svátek, Martin, Phartyal, Shyam S., Wipf, Sonja, Eisenhauer, Nico, Pușcaș, Mihai, Turtureanu, Pavel D., Varlagin, Andrej, Dimarco, Romina D., Jump, Alistair S., Randall, Krystal, Dorrepaal, Ellen, Larson, Keith, Walz, Josefine, Vitale, Luca, Svoboda, Miroslav, Finger Higgens, Rebecca, Halbritter, Aud H., Curasi, Salvatore R., Klupar, Ian, Koontz, Austin, Pearse, William D., Simpson, Elizabeth, Stemkovski, Michael, Jessen Graae, Bente, Vedel Sørensen, Mia, Høye, Toke T., Fernández Calzado, M. Rosa, Lorite, Juan, Carbognani, Michele, Tomaselli, Marcello, Forte, T'ai G.W., Petraglia, Alessandro, Haesen, Stef, Somers, Ben, Van Meerbeek, Koenraad, Björkman, Mats P., Hylander, Kristoffer, Merinero, Sonia, Gharun, Mana, Buchmann, Nina, Dolezal, Jiri, Matula, Radim, Thomas, Andrew D., Bailey, Joseph J., Ghosn, Dany, Kazakis, George, de Pablo, Miguel A., Kemppinen, Julia, Niittynen, Pekka, Rew, Lisa, Seipel, Tim, Larson, Christian, Speed, James D.M., Ardö, Jonas, Cannone, Nicoletta, Guglielmin, Mauro, Malfasi, Francesco, Bader, Maaike Y., Canessa, Rafaella, Stanisci, Angela, Kreyling, Juergen, Schmeddes, Jonas, Teuber, Laurenz, Aschero, Valeria, Čiliak, Marek, Máliš, František, De Smedt, Pallieter, Govaert, Sanne, Meeussen, Camille, Vangansbeke, Pieter, Gigauri, Khatuna, Lamprecht, Andrea, Pauli, Harald, Steinbauer, Klaus, Winkler, Manuela, Ueyama, Masahito, and Nuñez, Martin A.

Subjects
soil climate, climate change, species distributions, topoclimate, temperature, database, ecosystem processes, microclimate
Abstract

© 2020 John Wiley & Sons Ltd Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.

Published
2020

50. Gene flow at the leading range edge: the long-term consequences of isolation in European Beech (Fagus sylvatica L. Kuhn)

Author

Sjölund, M Jennifer, González-Díaz, Patricia, Moreno-Villena, Jose J, and Jump, Alistair S

Subjects
forest fragmentation, establishment, parentage, genetic diversity, colonization, range margin
Abstract

Aim Isolation is expected to lead to negative impacts on populations due to a reduction in effective population size and gene flow, exacerbating the effects of genetic drift, which might be stronger in peripheral and fragmented populations. Fagus sylvatica (European beech) in southern Sweden presents a gradient of isolation towards the leading range edge of the species. We sought to determine the impact of long‐term isolation on genetic diversity and population genetic structure within populations of this species. Location Samples were obtained from 14 sites towards the northern edge of the native range of beech in Sweden. Taxon Fagaceae. Methods Using historical sources, we obtained area‐ and distance‐based measures of isolation. We measured genetic diversity and structure by using nuclear microsatellite marker data, and performed parentage analysis to estimate external pollen‐mediated gene flow. We implemented a partial least squares regression to determine the effects of isolation on each of the genetic diversity estimators and the measures of external pollen‐mediated gene flow. Results Long‐term isolation generally had a negative impact on genetic diversity, which is exacerbated over time, further affecting progeny and suggesting that isolated populations are subject to strong genetic drift, possibly due to the combination of founder events and persistent small population sizes. Bayesian cluster analysis revealed that isolation was also acting as a barrier to gene flow in the north‐eastern distribution of beech. Main conclusions Isolation at the leading range edge of beech in Sweden has created gradients of contemporary gene flow within the species. The long‐term cumulative effects of isolation on this wind‐pollinated tree species and its negative impacts on genetic diversity and gene flow, could lead to inbreeding depression and higher extinction risk where populations remain small and isolated.

Published
2019

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