25 results on '"Van Meerbeek, K."'
Search Results
2. Explore before you restore : Incorporating complex systems thinking in ecosystem restoration
- Author
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Maes, S.L., Perring, M.P., Cohen, R., Akinnifesi, F.K., Bargués-Tobella, A., Bastin, J.F., Bauters, M., Bernardino, P.N., Brancalion, P.H.S., Bullock, J.M., Ellison, D., Fayolle, A., Fremout, T., Gann, G.D., Hishe, H., Holmgren, M., Ilstedt, U., Mahy, G., Messier, C., Parr, C.L., Ryan, C.M., Sacande, M., Sankaran, M., Scheffer, M.S., Suding, K.N., Van Meerbeek, K., Verbeeck, H., Verbist, B.J.P., Verheyen, K., Winowiecki, L.A., Muys, B., Maes, S.L., Perring, M.P., Cohen, R., Akinnifesi, F.K., Bargués-Tobella, A., Bastin, J.F., Bauters, M., Bernardino, P.N., Brancalion, P.H.S., Bullock, J.M., Ellison, D., Fayolle, A., Fremout, T., Gann, G.D., Hishe, H., Holmgren, M., Ilstedt, U., Mahy, G., Messier, C., Parr, C.L., Ryan, C.M., Sacande, M., Sankaran, M., Scheffer, M.S., Suding, K.N., Van Meerbeek, K., Verbeeck, H., Verbist, B.J.P., Verheyen, K., Winowiecki, L.A., and Muys, B.
- Abstract
The global movement for ecosystem restoration has gained momentum in response to the Bonn Challenge (2010) and the UN Decade on Ecosystem Restoration (UNDER, 2021–2030). While several science-based guidelines exist to aid in achieving successful restoration outcomes, significant variation remains in the outcomes of restoration projects. Some of this disparity can be attributed to unexpected responses of ecosystem components to planned interventions. Given the complex nature of ecosystems, we propose that concepts from Complex Systems Science (CSS) that are linked to non-linearity, such as regime shifts, ecological resilience and ecological feedbacks, should be employed to help explain this variation in restoration outcomes from an ecological perspective. Our framework, Explore Before You Restore, illustrates how these concepts impact restoration outcomes by influencing degradation and recovery trajectories. Additionally, we propose incorporating CSS concepts into the typical restoration project cycle through a CSS assessment phase and suggest that the need for such assessment is explicitly included in the guidelines to improve restoration outcomes. To facilitate this inclusion and make it workable by practitioners, we describe indicators and methods available for restoration teams to answer key questions that should make up such CSS assessment. In doing so, we identify key outstanding science and policy tasks that are needed to further operationalize CSS assessment in restoration. Synthesis and applications. By illustrating how key Complex Systems Science (CSS) concepts linked to non-linear threshold behaviour can impact restoration outcomes through influencing recovery trajectories, our framework Explore Before You Restore demonstrates the need to incorporate Complex Systems thinking in ecosystem restoration. We argue that inclusion of CSS assessment into restoration project cycles, and more broadly, into international restoration guidelines, may significantly impr
- Published
- 2024
3. Native lomas species of Peru as potential plants for urban green in Lima
- Author
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Flores, S., primary, Van Meerbeek, K., additional, Van Mechelen, C., additional, and Palacios, J., additional
- Published
- 2023
- Full Text
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4. ForestTemp – Sub-canopy Microclimate Temperatures of European Forests
- Author
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Universidad de Sevilla. Departamento de Biología Vegetal y Ecología, Academy of Finland, European Research Council (ERC), Akademie Ved Ceske Republiky, Agentura na Podporu Vyskumu a Vyvoja, Agency of the Czech Republic, University of Helsinki, Research Foundation Flanders (FWO). Bélgica, Austrian Science Fund (FWF), Structure Federative de Recherche Condorcet, KU Leuven, French National Research Agency (ANR), ETH Zurich, Haesen, S., Lembrechts, J. J., De Frenne, P., Lenoir, J., Aalto, J., Ashcroft, M. B., Kopecky, M., Luoto, M., Maclean, I. M. D., Nijs, I., Merinero Mesa, Sonia, Van Meerbeek, K., Universidad de Sevilla. Departamento de Biología Vegetal y Ecología, Academy of Finland, European Research Council (ERC), Akademie Ved Ceske Republiky, Agentura na Podporu Vyskumu a Vyvoja, Agency of the Czech Republic, University of Helsinki, Research Foundation Flanders (FWO). Bélgica, Austrian Science Fund (FWF), Structure Federative de Recherche Condorcet, KU Leuven, French National Research Agency (ANR), ETH Zurich, Haesen, S., Lembrechts, J. J., De Frenne, P., Lenoir, J., Aalto, J., Ashcroft, M. B., Kopecky, M., Luoto, M., Maclean, I. M. D., Nijs, I., Merinero Mesa, Sonia, and Van Meerbeek, K.
- Abstract
Ecological research heavily relies on coarse-gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids. In forests, the tree canopy functions as a thermal insulator and buffers sub-canopy microclimatic conditions, thereby affecting biological and ecological processes. To improve the assessment of climatic conditions and climate-change-related impacts on forest-floor biodiversity and functioning, high-resolution temperature grids reflecting forest microclimates are thus urgently needed. Combining more than 1200 time series of in situ near-surface forest temperature with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub-canopy temperature at 15 cm above the surface and free-air temperature over the period 2000–2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. We found that sub-canopy air temperatures differ substantially from free-air temperatures, being on average 2.1°C (standard deviation ± 1.6°C) lower in summer and 2.0°C higher (±0.7°C) in winter across Europe. Additionally, our high-resolution maps expose considerable microclimatic variation within landscapes, not captured by the gridded macroclimatic products. The provided forest sub-canopy temperature maps will enable future research to model below-canopy biological processes and patterns, as well as species distributions more accurately.
- Published
- 2022
5. Global maps of soil temperature
- Author
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Lembrechts, J. J. (Jonas J.), van den Hoogen, J. (Johan), Aalto, J. (Juha), Ashcroft, M. B. (Michael B.), De Frenne, P. (Pieter), Kemppinen, J. (Julia), Kopecky, M. (Martin), Luoto, M. (Miska), Maclean, I. M. (Ilya M. D.), Crowther, T. W. (Thomas W.), Bailey, J. J. (Joseph J.), Haesen, S. (Stef), Klinges, D. H. (David H.), Niittynen, P. (Pekka), Scheffers, B. R. (Brett R.), Van Meerbeek, K. (Koenraad), Aartsma, P. (Peter), Abdalaze, O. (Otar), Abedi, M. (Mehdi), Aerts, R. (Rien), Ahmadian, N. (Negar), Ahrends, A. (Antje), Alatalo, J. M. (Juha M.), Alexander, J. M. (Jake M.), Allonsius, C. N. (Camille Nina), Altman, J. (Jan), Ammann, C. (Christof), Andres, C. (Christian), Andrews, C. (Christopher), Ardo, J. (Jonas), Arriga, N. (Nicola), Arzac, A. (Alberto), Aschero, V. (Valeria), Assis, R. L. (Rafael L.), Assmann, J. J. (Jakob Johann), Bader, M. Y. (Maaike Y.), Bahalkeh, K. (Khadijeh), Barancok, P. (Peter), Barrio, I. C. (Isabel C.), Barros, A. (Agustina), Barthel, M. (Matti), Basham, E. W. (Edmund W.), Bauters, M. (Marijn), Bazzichetto, M. (Manuele), Marchesini, L. B. (Luca Belelli), Bell, M. C. (Michael C.), Benavides, J. C. (Juan C.), Benito Alonso, J. L. (Jose Luis), Berauer, B. J. (Bernd J.), Bjerke, J. W. (Jarle W.), Bjork, R. G. (Robert G.), Bjorkman, M. P. (Mats P.), Bjornsdottir, K. (Katrin), Blonder, B. (Benjamin), Boeckx, P. (Pascal), Boike, J. (Julia), Bokhorst, S. (Stef), Brum, B. N. (Barbara N. S.), Bruna, J. (Josef), Buchmann, N. (Nina), Buysse, P. (Pauline), Camargo, J. L. (Jose Luis), Campoe, O. C. (Otavio C.), Candan, O. (Onur), Canessa, R. (Rafaella), Cannone, N. (Nicoletta), Carbognani, M. (Michele), Carnicer, J. (Jofre), Casanova-Katny, A. (Angelica), Cesarz, S. (Simone), Chojnicki, B. (Bogdan), Choler, P. (Philippe), Chown, S. L. (Steven L.), Cifuentes, E. F. (Edgar F.), Ciliak, M. (Marek), Contador, T. (Tamara), Convey, P. (Peter), Cooper, E. J. (Elisabeth J.), Cremonese, E. (Edoardo), Curasi, S. R. (Salvatore R.), Curtis, R. (Robin), Cutini, M. (Maurizio), Dahlberg, C. J. (C. Johan), Daskalova, G. N. (Gergana N.), Angel de Pablo, M. (Miguel), Della Chiesa, S. (Stefano), Dengler, J. (Juergen), Deronde, B. (Bart), Descombes, P. (Patrice), Di Cecco, V. (Valter), Di Musciano, M. (Michele), Dick, J. (Jan), Dimarco, R. D. (Romina D.), Dolezal, J. (Jiri), Dorrepaal, E. (Ellen), Dusek, J. (Jiri), Eisenhauer, N. (Nico), Eklundh, L. (Lars), Erickson, T. E. (Todd E.), Erschbamer, B. (Brigitta), Eugster, W. (Werner), Ewers, R. M. (Robert M.), Exton, D. A. (Dan A.), Fanin, N. (Nicolas), Fazlioglu, F. (Fatih), Feigenwinter, I. (Iris), Fenu, G. (Giuseppe), Ferlian, O. (Olga), Fernandez Calzado, M. R. (M. Rosa), Fernandez-Pascual, E. (Eduardo), Finckh, M. (Manfred), Higgens, R. F. (Rebecca Finger), Forte, T. G. (T'ai G. W.), Freeman, E. C. (Erika C.), Frei, E. R. (Esther R.), Fuentes-Lillo, E. (Eduardo), Garcia, R. A. (Rafael A.), Garcia, M. B. (Maria B.), Geron, C. (Charly), Gharun, M. (Mana), Ghosn, D. (Dany), Gigauri, K. (Khatuna), Gobin, A. (Anne), Goded, I. (Ignacio), Goeckede, M. (Mathias), Gottschall, F. (Felix), Goulding, K. (Keith), Govaert, S. (Sanne), Graae, B. J. (Bente Jessen), Greenwood, S. (Sarah), Greiser, C. (Caroline), Grelle, A. (Achim), Guenard, B. (Benoit), Guglielmin, M. (Mauro), Guillemot, J. (Joannes), Haase, P. (Peter), Haider, S. (Sylvia), Halbritter, A. H. (Aud H.), Hamid, M. (Maroof), Hammerle, A. (Albin), Hampe, A. (Arndt), Haugum, S. V. (Siri, V), Hederova, L. (Lucia), Heinesch, B. (Bernard), Helfter, C. (Carole), Hepenstrick, D. (Daniel), Herberich, M. (Maximiliane), Herbst, M. (Mathias), Hermanutz, L. (Luise), Hik, D. S. (David S.), Hoffren, R. (Raul), Homeier, J. (Juergen), Hörtnagl, L. (Lukas), Hoye, T. T. (Toke T.), Hrbacek, F. (Filip), Hylander, K. (Kristoffer), Iwata, H. (Hiroki), Jackowicz-Korczynski, M. A. (Marcin Antoni), Jactel, H. (Herve), Jarveoja, J. (Jarvi), Jastrzebowski, S. (Szymon), Jentsch, A. (Anke), Jimenez, J. J. (Juan J.), Jonsdottir, I. S. (Ingibjorg S.), Jucker, T. (Tommaso), Jump, A. S. (Alistair S.), Juszczak, R. (Radoslaw), Kanka, R. (Robert), Kaspar, V. (Vit), Kazakis, G. (George), Kelly, J. (Julia), Khuroo, A. A. (Anzar A.), Klemedtsson, L. (Leif), Klisz, M. (Marcin), Kljun, N. (Natascha), Knohl, A. (Alexander), Kobler, J. (Johannes), Kollar, J. (Jozef), Kotowska, M. M. (Martyna M.), Kovacs, B. (Bence), Kreyling, J. (Juergen), Lamprecht, A. (Andrea), Lang, S. I. (Simone, I), Larson, C. (Christian), Larson, K. (Keith), Laska, K. (Kamil), Maire, G. I. (Guerric Ie), Leihy, R. I. (Rachel, I), Lens, L. (Luc), Liljebladh, B. (Bengt), Lohila, A. (Annalea), Lorite, J. (Juan), Loubet, B. (Benjamin), Lynn, J. (Joshua), Macek, M. (Martin), Mackenzie, R. (Roy), Magliulo, E. (Enzo), Maier, R. (Regine), Malfasi, F. (Francesco), Malis, F. (Frantisek), Man, M. (Matej), Manca, G. (Giovanni), Manco, A. (Antonio), Manise, T. (Tanguy), Manolaki, P. (Paraskevi), Marciniak, F. (Felipe), Matula, R. (Radim), Clara Mazzolari, A. (Ana), Medinets, S. (Sergiy), Medinets, V. (Volodymyr), Meeussen, C. (Camille), Merinero, S. (Sonia), Guimaraes Mesquita, R. d. (Rita de Cassia), Meusburger, K. (Katrin), Meysman, F. J. (Filip J. R.), Michaletz, S. T. (Sean T.), Milbau, A. (Ann), Moiseev, D. (Dmitry), Moiseev, P. (Pavel), Mondoni, A. (Andrea), Monfries, R. (Ruth), Montagnani, L. (Leonardo), Moriana-Armendariz, M. (Mikel), di Cella, U. M. (Umberto Morra), Moersdorf, M. (Martin), Mosedale, J. R. (Jonathan R.), Muffler, L. (Lena), Munoz-Rojas, M. (Miriam), Myers, J. A. (Jonathan A.), Myers-Smith, I. H. (Isla H.), Nagy, L. (Laszlo), Nardino, M. (Marianna), Naujokaitis-Lewis, I. (Ilona), Newling, E. (Emily), Nicklas, L. (Lena), Niedrist, G. (Georg), Niessner, A. (Armin), Nilsson, M. B. (Mats B.), Normand, S. (Signe), Nosetto, M. D. (Marcelo D.), Nouvellon, Y. (Yann), Nunez, M. A. (Martin A.), Ogaya, R. (Roma), Ogee, J. (Jerome), Okello, J. (Joseph), Olejnik, J. (Janusz), Olesen, J. E. (Jorgen Eivind), Opedal, O. H. (Oystein H.), Orsenigo, S. (Simone), Palaj, A. (Andrej), Pampuch, T. (Timo), Panov, A. V. (Alexey V.), Pärtel, M. (Meelis), Pastor, A. (Ada), Pauchard, A. (Aníbal), Pauli, H. (Harald), Pavelka, M. (Marian), Pearse, W. D. (William D.), Peichl, M. (Matthias), Pellissier, L. (Loïc), Penczykowski, R. M. (Rachel M.), Penuelas, J. (Josep), Petit Bon, M. (Matteo), Petraglia, A. (Alessandro), Phartyal, S. S. (Shyam S.), Phoenix, G. K. (Gareth K.), Pio, C. (Casimiro), Pitacco, A. (Andrea), Pitteloud, C. (Camille), Plichta, R. (Roman), Porro, F. (Francesco), Portillo-Estrada, M. (Miguel), Poulenard, J. (Jérôme), Poyatos, R. (Rafael), Prokushkin, A. S. (Anatoly S.), Puchalka, R. (Radoslaw), Pușcaș, M. (Mihai), Radujković, D. (Dajana), Randall, K. (Krystal), Ratier Backes, A. (Amanda), Remmele, S. (Sabine), Remmers, W. (Wolfram), Renault, D. (David), Risch, A. C. (Anita C.), Rixen, C. (Christian), Robinson, S. A. (Sharon A.), Robroek, B. J. (Bjorn J. M.), Rocha, A. V. (Adrian V.), Rossi, C. (Christian), Rossi, G. (Graziano), Roupsard, O. (Olivier), Rubtsov, A. V. (Alexey V.), Saccone, P. (Patrick), Sagot, C. (Clotilde), Sallo Bravo, J. (Jhonatan), Santos, C. C. (Cinthya C.), Sarneel, J. M. (Judith M.), Scharnweber, T. (Tobias), Schmeddes, J. (Jonas), Schmidt, M. (Marius), Scholten, T. (Thomas), Schuchardt, M. (Max), Schwartz, N. (Naomi), Scott, T. (Tony), Seeber, J. (Julia), Segalin De Andrade, A. C. (Ana Cristina), Seipel, T. (Tim), Semenchuk, P. (Philipp), Senior, R. A. (Rebecca A.), Serra-Diaz, J. M. (Josep M.), Sewerniak, P. (Piotr), Shekhar, A. (Ankit), Sidenko, N. V. (Nikita V.), Siebicke, L. (Lukas), Siegwart Collier, L. (Laura), Simpson, E. (Elizabeth), Siqueira, D. P. (David P.), Sitková, Z. (Zuzana), Six, J. (Johan), Smiljanic, M. (Marko), Smith, S. W. (Stuart W.), Smith-Tripp, S. (Sarah), Somers, B. (Ben), Sørensen, M. V. (Mia Vedel), Souza, J. J. (José João L. L.), Souza, B. I. (Bartolomeu Israel), Dias, A. S. (Arildo Souza), Spasojevic, M. J. (Marko J.), Speed, J. D. (James D. M.), Spicher, F. (Fabien), Stanisci, A. (Angela), Steinbauer, K. (Klaus), Steinbrecher, R. (Rainer), Steinwandter, M. (Michael), Stemkovski, M. (Michael), Stephan, J. G. (Jörg G.), Stiegler, C. (Christian), Stoll, S. (Stefan), Svátek, M. (Martin), Svoboda, M. (Miroslav), Tagesson, T. (Torbern), Tanentzap, A. J. (Andrew J.), Tanneberger, F. (Franziska), Theurillat, J.-P. (Jean-Paul), Thomas, H. J. (Haydn J. D.), Thomas, A. D. (Andrew D.), Tielbörger, K. (Katja), Tomaselli, M. (Marcello), Treier, U. A. (Urs Albert), Trouillier, M. (Mario), Turtureanu, P. D. (Pavel Dan), Tutton, R. (Rosamond), Tyystjärvi, V. A. (Vilna A.), Ueyama, M. (Masahito), Ujházy, K. (Karol), Ujházyová, M. (Mariana), Uogintas, D. (Domas), Urban, A. V. (Anastasiya V.), Urban, J. (Josef), Urbaniak, M. (Marek), Ursu, T.-M. (Tudor-Mihai), Vaccari, F. P. (Francesco Primo), Van De Vondel, S. (Stijn), Van Den Brink, L. (Liesbeth), Van Geel, M. (Maarten), Vandvik, V. (Vigdis), Vangansbeke, P. (Pieter), Varlagin, A. (Andrej), Veen, G. F. (G. F.), Veenendaal, E. (Elmar), Venn, S. E. (Susanna E.), Verbeeck, H. (Hans), Verbrugggen, E. (Erik), Verheijen, F. G. (Frank G. A.), Villar, L. (Luis), Vitale, L. (Luca), Vittoz, P. (Pascal), Vives-Ingla, M. (Maria), Von Oppen, J. (Jonathan), Walz, J. (Josefine), Wang, R. (Runxi), Wang, Y. (Yifeng), Way, R. G. (Robert G.), Wedegärtner, R. E. (Ronja E. M.), Weigel, R. (Robert), Wild, J. (Jan), Wilkinson, M. (Matthew), Wilmking, M. (Martin), Wingate, L. (Lisa), Winkler, M. (Manuela), Wipf, S. (Sonja), Wohlfahrt, G. (Georg), Xenakis, G. (Georgios), Yang, Y. (Yan), Yu, Z. (Zicheng), Yu, K. (Kailiang), Zellweger, F. (Florian), Zhang, J. (Jian), Zhang, Z. (Zhaochen), Zhao, P. (Peng), Ziemblińska, K. (Klaudia), Zimmermann, R. (Reiner), Zong, S. (Shengwei), Zyryanov, V. I. (Viacheslav I.), Nijs, I. (Ivan), Lenoir, J. (Jonathan), Lembrechts, J. J. (Jonas J.), van den Hoogen, J. (Johan), Aalto, J. (Juha), Ashcroft, M. B. (Michael B.), De Frenne, P. (Pieter), Kemppinen, J. (Julia), Kopecky, M. (Martin), Luoto, M. (Miska), Maclean, I. M. (Ilya M. D.), Crowther, T. W. (Thomas W.), Bailey, J. J. (Joseph J.), Haesen, S. (Stef), Klinges, D. H. (David H.), Niittynen, P. (Pekka), Scheffers, B. R. (Brett R.), Van Meerbeek, K. (Koenraad), Aartsma, P. (Peter), Abdalaze, O. (Otar), Abedi, M. (Mehdi), Aerts, R. (Rien), Ahmadian, N. (Negar), Ahrends, A. (Antje), Alatalo, J. M. (Juha M.), Alexander, J. M. (Jake M.), Allonsius, C. N. (Camille Nina), Altman, J. (Jan), Ammann, C. (Christof), Andres, C. (Christian), Andrews, C. (Christopher), Ardo, J. (Jonas), Arriga, N. (Nicola), Arzac, A. (Alberto), Aschero, V. (Valeria), Assis, R. L. (Rafael L.), Assmann, J. J. (Jakob Johann), Bader, M. Y. (Maaike Y.), Bahalkeh, K. (Khadijeh), Barancok, P. (Peter), Barrio, I. C. (Isabel C.), Barros, A. (Agustina), Barthel, M. (Matti), Basham, E. W. (Edmund W.), Bauters, M. (Marijn), Bazzichetto, M. (Manuele), Marchesini, L. B. (Luca Belelli), Bell, M. C. (Michael C.), Benavides, J. C. (Juan C.), Benito Alonso, J. L. (Jose Luis), Berauer, B. J. (Bernd J.), Bjerke, J. W. (Jarle W.), Bjork, R. G. (Robert G.), Bjorkman, M. P. (Mats P.), Bjornsdottir, K. (Katrin), Blonder, B. (Benjamin), Boeckx, P. (Pascal), Boike, J. (Julia), Bokhorst, S. (Stef), Brum, B. N. (Barbara N. S.), Bruna, J. (Josef), Buchmann, N. (Nina), Buysse, P. (Pauline), Camargo, J. L. (Jose Luis), Campoe, O. C. (Otavio C.), Candan, O. (Onur), Canessa, R. (Rafaella), Cannone, N. (Nicoletta), Carbognani, M. (Michele), Carnicer, J. (Jofre), Casanova-Katny, A. (Angelica), Cesarz, S. (Simone), Chojnicki, B. (Bogdan), Choler, P. (Philippe), Chown, S. L. (Steven L.), Cifuentes, E. F. (Edgar F.), Ciliak, M. (Marek), Contador, T. (Tamara), Convey, P. (Peter), Cooper, E. J. (Elisabeth J.), Cremonese, E. (Edoardo), Curasi, S. R. (Salvatore R.), Curtis, R. (Robin), Cutini, M. (Maurizio), Dahlberg, C. J. (C. Johan), Daskalova, G. N. (Gergana N.), Angel de Pablo, M. (Miguel), Della Chiesa, S. (Stefano), Dengler, J. (Juergen), Deronde, B. (Bart), Descombes, P. (Patrice), Di Cecco, V. (Valter), Di Musciano, M. (Michele), Dick, J. (Jan), Dimarco, R. D. (Romina D.), Dolezal, J. (Jiri), Dorrepaal, E. (Ellen), Dusek, J. (Jiri), Eisenhauer, N. (Nico), Eklundh, L. (Lars), Erickson, T. E. (Todd E.), Erschbamer, B. (Brigitta), Eugster, W. (Werner), Ewers, R. M. (Robert M.), Exton, D. A. (Dan A.), Fanin, N. (Nicolas), Fazlioglu, F. (Fatih), Feigenwinter, I. (Iris), Fenu, G. (Giuseppe), Ferlian, O. (Olga), Fernandez Calzado, M. R. (M. Rosa), Fernandez-Pascual, E. (Eduardo), Finckh, M. (Manfred), Higgens, R. F. (Rebecca Finger), Forte, T. G. (T'ai G. W.), Freeman, E. C. (Erika C.), Frei, E. R. (Esther R.), Fuentes-Lillo, E. (Eduardo), Garcia, R. A. (Rafael A.), Garcia, M. B. (Maria B.), Geron, C. (Charly), Gharun, M. (Mana), Ghosn, D. (Dany), Gigauri, K. (Khatuna), Gobin, A. (Anne), Goded, I. (Ignacio), Goeckede, M. (Mathias), Gottschall, F. (Felix), Goulding, K. (Keith), Govaert, S. (Sanne), Graae, B. J. (Bente Jessen), Greenwood, S. (Sarah), Greiser, C. (Caroline), Grelle, A. (Achim), Guenard, B. (Benoit), Guglielmin, M. (Mauro), Guillemot, J. (Joannes), Haase, P. (Peter), Haider, S. (Sylvia), Halbritter, A. H. (Aud H.), Hamid, M. (Maroof), Hammerle, A. (Albin), Hampe, A. (Arndt), Haugum, S. V. (Siri, V), Hederova, L. (Lucia), Heinesch, B. (Bernard), Helfter, C. (Carole), Hepenstrick, D. (Daniel), Herberich, M. (Maximiliane), Herbst, M. (Mathias), Hermanutz, L. (Luise), Hik, D. S. (David S.), Hoffren, R. (Raul), Homeier, J. (Juergen), Hörtnagl, L. (Lukas), Hoye, T. T. (Toke T.), Hrbacek, F. (Filip), Hylander, K. (Kristoffer), Iwata, H. (Hiroki), Jackowicz-Korczynski, M. A. (Marcin Antoni), Jactel, H. (Herve), Jarveoja, J. (Jarvi), Jastrzebowski, S. (Szymon), Jentsch, A. (Anke), Jimenez, J. J. (Juan J.), Jonsdottir, I. S. (Ingibjorg S.), Jucker, T. (Tommaso), Jump, A. S. (Alistair S.), Juszczak, R. (Radoslaw), Kanka, R. (Robert), Kaspar, V. (Vit), Kazakis, G. (George), Kelly, J. (Julia), Khuroo, A. A. (Anzar A.), Klemedtsson, L. (Leif), Klisz, M. (Marcin), Kljun, N. (Natascha), Knohl, A. (Alexander), Kobler, J. (Johannes), Kollar, J. (Jozef), Kotowska, M. M. (Martyna M.), Kovacs, B. (Bence), Kreyling, J. (Juergen), Lamprecht, A. (Andrea), Lang, S. I. (Simone, I), Larson, C. (Christian), Larson, K. (Keith), Laska, K. (Kamil), Maire, G. I. (Guerric Ie), Leihy, R. I. (Rachel, I), Lens, L. (Luc), Liljebladh, B. (Bengt), Lohila, A. (Annalea), Lorite, J. (Juan), Loubet, B. (Benjamin), Lynn, J. (Joshua), Macek, M. (Martin), Mackenzie, R. (Roy), Magliulo, E. (Enzo), Maier, R. (Regine), Malfasi, F. (Francesco), Malis, F. (Frantisek), Man, M. (Matej), Manca, G. (Giovanni), Manco, A. (Antonio), Manise, T. (Tanguy), Manolaki, P. (Paraskevi), Marciniak, F. (Felipe), Matula, R. (Radim), Clara Mazzolari, A. (Ana), Medinets, S. (Sergiy), Medinets, V. (Volodymyr), Meeussen, C. (Camille), Merinero, S. (Sonia), Guimaraes Mesquita, R. d. (Rita de Cassia), Meusburger, K. (Katrin), Meysman, F. J. (Filip J. R.), Michaletz, S. T. (Sean T.), Milbau, A. (Ann), Moiseev, D. (Dmitry), Moiseev, P. (Pavel), Mondoni, A. (Andrea), Monfries, R. (Ruth), Montagnani, L. (Leonardo), Moriana-Armendariz, M. (Mikel), di Cella, U. M. (Umberto Morra), Moersdorf, M. (Martin), Mosedale, J. R. (Jonathan R.), Muffler, L. (Lena), Munoz-Rojas, M. (Miriam), Myers, J. A. (Jonathan A.), Myers-Smith, I. H. (Isla H.), Nagy, L. (Laszlo), Nardino, M. (Marianna), Naujokaitis-Lewis, I. (Ilona), Newling, E. (Emily), Nicklas, L. (Lena), Niedrist, G. (Georg), Niessner, A. (Armin), Nilsson, M. B. (Mats B.), Normand, S. (Signe), Nosetto, M. D. (Marcelo D.), Nouvellon, Y. (Yann), Nunez, M. A. (Martin A.), Ogaya, R. (Roma), Ogee, J. (Jerome), Okello, J. (Joseph), Olejnik, J. (Janusz), Olesen, J. E. (Jorgen Eivind), Opedal, O. H. (Oystein H.), Orsenigo, S. (Simone), Palaj, A. (Andrej), Pampuch, T. (Timo), Panov, A. V. (Alexey V.), Pärtel, M. (Meelis), Pastor, A. (Ada), Pauchard, A. (Aníbal), Pauli, H. (Harald), Pavelka, M. (Marian), Pearse, W. D. (William D.), Peichl, M. (Matthias), Pellissier, L. (Loïc), Penczykowski, R. M. (Rachel M.), Penuelas, J. (Josep), Petit Bon, M. (Matteo), Petraglia, A. (Alessandro), Phartyal, S. S. (Shyam S.), Phoenix, G. K. (Gareth K.), Pio, C. (Casimiro), Pitacco, A. (Andrea), Pitteloud, C. (Camille), Plichta, R. (Roman), Porro, F. (Francesco), Portillo-Estrada, M. (Miguel), Poulenard, J. (Jérôme), Poyatos, R. (Rafael), Prokushkin, A. S. (Anatoly S.), Puchalka, R. (Radoslaw), Pușcaș, M. (Mihai), Radujković, D. (Dajana), Randall, K. (Krystal), Ratier Backes, A. (Amanda), Remmele, S. (Sabine), Remmers, W. (Wolfram), Renault, D. (David), Risch, A. C. (Anita C.), Rixen, C. (Christian), Robinson, S. A. (Sharon A.), Robroek, B. J. (Bjorn J. M.), Rocha, A. V. (Adrian V.), Rossi, C. (Christian), Rossi, G. (Graziano), Roupsard, O. (Olivier), Rubtsov, A. V. (Alexey V.), Saccone, P. (Patrick), Sagot, C. (Clotilde), Sallo Bravo, J. (Jhonatan), Santos, C. C. (Cinthya C.), Sarneel, J. M. (Judith M.), Scharnweber, T. (Tobias), Schmeddes, J. (Jonas), Schmidt, M. (Marius), Scholten, T. (Thomas), Schuchardt, M. (Max), Schwartz, N. (Naomi), Scott, T. (Tony), Seeber, J. (Julia), Segalin De Andrade, A. C. (Ana Cristina), Seipel, T. (Tim), Semenchuk, P. (Philipp), Senior, R. A. (Rebecca A.), Serra-Diaz, J. M. (Josep M.), Sewerniak, P. (Piotr), Shekhar, A. (Ankit), Sidenko, N. V. (Nikita V.), Siebicke, L. (Lukas), Siegwart Collier, L. (Laura), Simpson, E. (Elizabeth), Siqueira, D. P. (David P.), Sitková, Z. (Zuzana), Six, J. (Johan), Smiljanic, M. (Marko), Smith, S. W. (Stuart W.), Smith-Tripp, S. (Sarah), Somers, B. (Ben), Sørensen, M. V. (Mia Vedel), Souza, J. J. (José João L. L.), Souza, B. I. (Bartolomeu Israel), Dias, A. S. (Arildo Souza), Spasojevic, M. J. (Marko J.), Speed, J. D. (James D. M.), Spicher, F. (Fabien), Stanisci, A. (Angela), Steinbauer, K. (Klaus), Steinbrecher, R. (Rainer), Steinwandter, M. (Michael), Stemkovski, M. (Michael), Stephan, J. G. (Jörg G.), Stiegler, C. (Christian), Stoll, S. (Stefan), Svátek, M. (Martin), Svoboda, M. (Miroslav), Tagesson, T. (Torbern), Tanentzap, A. J. (Andrew J.), Tanneberger, F. (Franziska), Theurillat, J.-P. (Jean-Paul), Thomas, H. J. (Haydn J. D.), Thomas, A. D. (Andrew D.), Tielbörger, K. (Katja), Tomaselli, M. (Marcello), Treier, U. A. (Urs Albert), Trouillier, M. (Mario), Turtureanu, P. D. (Pavel Dan), Tutton, R. (Rosamond), Tyystjärvi, V. A. (Vilna A.), Ueyama, M. (Masahito), Ujházy, K. (Karol), Ujházyová, M. (Mariana), Uogintas, D. (Domas), Urban, A. V. (Anastasiya V.), Urban, J. (Josef), Urbaniak, M. (Marek), Ursu, T.-M. (Tudor-Mihai), Vaccari, F. P. (Francesco Primo), Van De Vondel, S. (Stijn), Van Den Brink, L. (Liesbeth), Van Geel, M. (Maarten), Vandvik, V. (Vigdis), Vangansbeke, P. (Pieter), Varlagin, A. (Andrej), Veen, G. F. (G. F.), Veenendaal, E. (Elmar), Venn, S. E. (Susanna E.), Verbeeck, H. (Hans), Verbrugggen, E. (Erik), Verheijen, F. G. (Frank G. A.), Villar, L. (Luis), Vitale, L. (Luca), Vittoz, P. (Pascal), Vives-Ingla, M. (Maria), Von Oppen, J. (Jonathan), Walz, J. (Josefine), Wang, R. (Runxi), Wang, Y. (Yifeng), Way, R. G. (Robert G.), Wedegärtner, R. E. (Ronja E. M.), Weigel, R. (Robert), Wild, J. (Jan), Wilkinson, M. (Matthew), Wilmking, M. (Martin), Wingate, L. (Lisa), Winkler, M. (Manuela), Wipf, S. (Sonja), Wohlfahrt, G. (Georg), Xenakis, G. (Georgios), Yang, Y. (Yan), Yu, Z. (Zicheng), Yu, K. (Kailiang), Zellweger, F. (Florian), Zhang, J. (Jian), Zhang, Z. (Zhaochen), Zhao, P. (Peng), Ziemblińska, K. (Klaudia), Zimmermann, R. (Reiner), Zong, S. (Shengwei), Zyryanov, V. I. (Viacheslav I.), Nijs, I. (Ivan), and Lenoir, J. (Jonathan)
- 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° degrees C (mean = 3.0 +/‐ 2.1° degrees 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° degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (‐0.7 +/‐ 2.3° degrees 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
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- 2022
6. Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments
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Desie, E., Zuo, J., Verheyen, K., Djukic, I., Van Meerbeek, K., Auge, Harald, Barsoum, N., Baum, C., Bruelheide, H., Eisenhauer, N., Feldhaar, H., Ferlian, O., Gravel, D., Jactel, H., Kappel Schmidt, I., Kepfer-Rojas, S., Meredieu, C., Mereu, S., Messier, C., Morillas, L., Nock, C., Paquette, A., Ponette, Q., Reich, P.B., Roales, J., Scherer-Lorenzen, M., Seitz, S., Schmidt, Anja, Stefanski, A., Trogisch, S., van Halder, I., Weih, M., Williams, L.J., Yang, B., Muys, B., Desie, E., Zuo, J., Verheyen, K., Djukic, I., Van Meerbeek, K., Auge, Harald, Barsoum, N., Baum, C., Bruelheide, H., Eisenhauer, N., Feldhaar, H., Ferlian, O., Gravel, D., Jactel, H., Kappel Schmidt, I., Kepfer-Rojas, S., Meredieu, C., Mereu, S., Messier, C., Morillas, L., Nock, C., Paquette, A., Ponette, Q., Reich, P.B., Roales, J., Scherer-Lorenzen, M., Seitz, S., Schmidt, Anja, Stefanski, A., Trogisch, S., van Halder, I., Weih, M., Williams, L.J., Yang, B., and Muys, B.
- Abstract
Litter decomposition is a key ecosystem function in forests and varies in response to a range of climatic, edaphic, and local stand characteristics. Disentangling the relative contribution of these factors is challenging, especially along large environmental gradients. In particular, knowledge of the effect of management options, such as tree planting density and species composition, on litter decomposition would be highly valuable in forestry. In this study, we made use of 15 tree diversity experiments spread over eight countries and three continents within the global TreeDivNet network. We evaluated the effects of overstory composition (tree identity, species/mixture composition and species richness), plantation conditions (density and age), and climate (temperature and precipitation) on mass loss (after 3 months and 1 year) of two standardized litters: high-quality green tea and low-quality rooibos tea. Across continents, we found that early-stage decomposition of the low-quality rooibos tea was influenced locally by overstory tree identity. Mass loss of rooibos litter was higher under young gymnosperm overstories compared to angiosperm overstories, but this trend reversed with age of the experiment. Tree species richness did not influence decomposition and explained almost no variation in our multi-continent dataset. Hence, in the young plantations of our study, overstory composition effects on decomposition were mainly driven by tree species identity on decomposer communities and forest microclimates. After 12 months of incubation, mass loss of the high-quality green tea litter was mainly influenced by temperature whereas the low-quality rooibos tea litter decomposition showed stronger relationships with overstory composition and stand age. Our findings highlight that decomposition dynamics are not only affected by climate but also by management options, via litter quality of the identity of planted trees but also by overstory composition and structure.
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- 2022
7. ForestTemp – Sub-canopy Microclimate Temperatures of European Forests
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Haesen, S., Lembrechts, J. J., De Frenne, P., Lenoir, J., Aalto, J., Ashcroft, M. B., Kopecky, M., Luoto, M., Maclean, I. M. D., Nijs, I., Merinero Mesa, Sonia, Van Meerbeek, K., Universidad de Sevilla. Departamento de Biología Vegetal y Ecología, Academy of Finland, European Research Council (ERC), Akademie Ved Ceske Republiky, Agentura na Podporu Vyskumu a Vyvoja, Agency of the Czech Republic, University of Helsinki, Research Foundation Flanders (FWO). Bélgica, Structure Federative de Recherche Condorcet, KU Leuven, French National Research Agency (ANR), and ETH Zurich
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SoilTemp ,Species distributions ,Thermal buffering ,Forest microclimate ,Climate change ,Boosted regression trees ,Biodiversity ,Ecosystem processes - Abstract
Ecological research heavily relies on coarse-gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids. In forests, the tree canopy functions as a thermal insulator and buffers sub-canopy microclimatic conditions, thereby affecting biological and ecological processes. To improve the assessment of climatic conditions and climate-change-related impacts on forest-floor biodiversity and functioning, high-resolution temperature grids reflecting forest microclimates are thus urgently needed. Combining more than 1200 time series of in situ near-surface forest temperature with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub-canopy temperature at 15 cm above the surface and free-air temperature over the period 2000–2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. We found that sub-canopy air temperatures differ substantially from free-air temperatures, being on average 2.1°C (standard deviation ± 1.6°C) lower in summer and 2.0°C higher (±0.7°C) in winter across Europe. Additionally, our high-resolution maps expose considerable microclimatic variation within landscapes, not captured by the gridded macroclimatic products. The provided forest sub-canopy temperature maps will enable future research to model below-canopy biological processes and patterns, as well as species distributions more accurately. Academy of Finland 337552 European Research Council 757833 Akademie Ved Ceske Republiky RVO 67985939 Agentura na Podporu Vyskumu a Vyvoja APVV-19-0319 Agency of the Czech Republic GACR 20-28119S University of Helsinki 7510145 Research Foundation Flanders G0H1517N, W001919N Austrian Science Fund 193645, 20FI20_173691, 20FI21_1489 Structure Federative de Recherche Condorcet FR CNRS 3417 KU Leuven 3E190655 French National Research Agency ANR-19-CE32-0005-01 ETH Zurich FEVER ETH-27 19-1
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- 2022
8. Trick or treat? Pollinator attraction in Vanilla pompona (Orchidaceae)
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Bert Reubens, Ruthmery Pillco Huarcaya, Bart Muys, Koenraad Van Meerbeek, Salvatore Cozzolino, Charlotte Watteyn, Adam P. Karremans, Marco Vinicio Cedeño Fonseca, Isler Fabián Chinchilla Alvarado, James D. Ackerman, Daniela Scaccabarozzi, Maria F. Guizar Amador, Nele Van Der Schueren, Watteyn, C., Scaccabarozzi, D., Muys, B., Van Der Schueren, N., Van Meerbeek, K., Guizar Amador, M. F., Ackerman, J. D., Cedeno Fonseca, M. V., Chinchilla Alvarado, I. F., Reubens, B., Pillco Huarcaya, R., Cozzolino, S., and Karremans, A.
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Neotropics ,Orchidaceae ,biology ,Pollination ,Floral fragrances ,ved/biology ,ved/biology.organism_classification_rank.species ,Vanilla pompona ,biology.organism_classification ,medicine.disease_cause ,Eulaema ,Attraction ,Food deception ,Crop wild relatives ,Pollinator ,ORQUIDEAS - INVESTIGACIONES ,Pollen ,Botany ,Vanilla pompona Schiede ,medicine ,Nectar ,Ecology, Evolution, Behavior and Systematics - Abstract
Natural pollination of species belonging to the pantropical orchid genus Vanilla remains poorly understood. Based on sporadic records, euglossine bees have been observed visiting flowers of Neotropical Vanilla species. Our research aimed at better understanding the pollinator attraction mechanism of the Neotropical species Vanilla pompona, a crop wild relative with valuable traits for vanilla crop improvement programs. Using video footage, we identified floral visitors and examined their behavior. The flowers of V. pompona attracted Eulaema cingulata males, which distinctively displayed two behaviors: floral scent collection and nectar search; with the latter leading to pollen removal. Morphological measurements of floral and visitor traits showed that other Eulaema species may also act as potential pollinators. Additionally, we recorded natural fruit set in three populations and over a period of two years, tested for nectar presence and analyzed floral fragrances through gas chromatography - mass spectrometry. We observed a low natural fruit set (2.42%) and did not detect nectar. Twenty floral volatile compounds were identified, with the dominant compound trans-carvone oxide previously found to attract Eulaema cingulata males. We hypothesize a dual attraction of Eulaema cingulata males to V. pompona flowers, based on floral fragrance reward as the primary long-distance attraction, and food deception for successful pollen removal. Further research confirming this hypothesis is recommended to develop appropriate conservation policies for Vanilla crop wild relatives, which are the primary reserves of this crops genetic variation.
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- 2022
9. Variation in insect herbivory across an urbanization gradient: The role of abiotic factors and leaf secondary metabolites.
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Moreira X, Van den Bossche A, Moeys K, Van Meerbeek K, Thomaes A, Vázquez-González C, Abdala-Roberts L, Brunet J, Cousins SAO, Defossez E, De Pauw K, Diekmann M, Glauser G, Graae BJ, Hagenblad J, Heavyside P, Hedwall PO, Heinken T, Huang S, Lago-Núñez B, Lenoir J, Lindgren J, Lindmo S, Mazalla L, Naaf T, Orczewska A, Paulssen J, Plue J, Rasmann S, Spicher F, Vanneste T, Verschuren L, Visakorpi K, Wulf M, and De Frenne P
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- Animals, Fraxinus metabolism, Quercus metabolism, Quercus physiology, Soil chemistry, Tilia metabolism, Terpenes metabolism, Secondary Metabolism, Temperature, Alkaloids metabolism, Phenols metabolism, Herbivory physiology, Plant Leaves metabolism, Urbanization, Insecta physiology
- Abstract
Urbanization impacts plant-herbivore interactions, which are crucial for ecosystem functions such as carbon sequestration and nutrient cycling. While some studies have reported reductions in insect herbivory in urban areas (relative to rural or natural forests), this trend is not consistent and the underlying causes for such variation remain unclear. We conducted a continental-scale study on insect herbivory along urbanization gradients for three European tree species: Quercus robur, Tilia cordata, and Fraxinus excelsior, and further investigated their biotic and abiotic correlates to get at mechanisms. To this end, we quantified insect leaf herbivory and foliar secondary metabolites (phenolics, terpenoids, alkaloids) for 176 trees across eight European cities. Additionally, we collected data on microclimate (air temperature) and soil characteristics (pH, carbon, nutrients) to test for abiotic correlates of urbanization effects directly or indirectly (through changes in plant secondary chemistry) linked to herbivory. Our results showed that urbanization was negatively associated with herbivory for Q. robur and F. excelsior, but not for T. cordata. In addition, urbanization was positively associated with secondary metabolite concentrations, but only for Q. robur. Urbanization was positively associated with air temperature for Q. robur and F. excelsior, and negatively with soil nutrients (magnesium) in the case of F. excelsior, but these abiotic variables were not associated with herbivory. Contrary to expectations, we found no evidence for indirect effects of abiotic factors via plant defences on herbivory for either Q. robur or F. excelsior. Additional biotic or abiotic drivers must therefore be accounted for to explain observed urbanization gradients in herbivory and their interspecific variation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)
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- 2024
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10. Leaf isotopes reveal tree diversity effects on the functional responses to the pan-European 2018 summer drought.
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Jing X, Baum C, Castagneyrol B, Eisenhauer N, Ferlian O, Gebauer T, Hajek P, Jactel H, Muys B, Nock CA, Ponette Q, Rose L, Saurer M, Scherer-Lorenzen M, Verheyen K, and Van Meerbeek K
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- Europe, Species Specificity, Droughts, Plant Leaves physiology, Trees physiology, Seasons, Carbon Isotopes analysis, Biodiversity, Nitrogen Isotopes
- Abstract
Recent droughts have strongly impacted forest ecosystems and are projected to increase in frequency, intensity, and duration in the future together with continued warming. While evidence suggests that tree diversity can regulate drought impacts in natural forests, few studies examine whether mixed tree plantations are more resistant to the impacts of severe droughts. Using natural variations in leaf carbon (C) and nitrogen (N) isotopic ratios, that is δ
13 C and δ15 N, as proxies for drought response, we analyzed the effects of tree species richness on the functional responses of tree plantations to the pan-European 2018 summer drought in seven European tree diversity experiments. We found that leaf δ13 C decreased with increasing tree species richness, indicating less drought stress. This effect was not related to drought intensity, nor desiccation tolerance of the tree species. Leaf δ15 N increased with drought intensity, indicating a shift toward more open N cycling as water availability diminishes. Additionally, drought intensity was observed to alter the influence of tree species richness on leaf δ15 N from weakly negative under low drought intensity to weakly positive under high drought intensity. Overall, our findings suggest that dual leaf isotope analysis helps understand the interaction between drought, nutrients, and species richness., (© 2024 The Authors. New Phytologist © 2024 New Phytologist Foundation.)- Published
- 2024
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11. Critical slowing down of the Amazon forest after increased drought occurrence.
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Van Passel J, Bernardino PN, Lhermitte S, Rius BF, Hirota M, Conradi T, de Keersmaecker W, Van Meerbeek K, and Somers B
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- Ecosystem, Brazil, Trees physiology, Trees growth & development, Climate Change, Droughts, Forests
- Abstract
Dynamic ecosystems, such as the Amazon forest, are expected to show critical slowing down behavior, or slower recovery from recurrent small perturbations, as they approach an ecological threshold to a different ecosystem state. Drought occurrences are becoming more prevalent across the Amazon, with known negative effects on forest health and functioning, but their actual role in the critical slowing down patterns still remains elusive. In this study, we evaluate the effect of trends in extreme drought occurrences on temporal autocorrelation (TAC) patterns of satellite-derived indices of vegetation activity, an indicator of slowing down, between 2001 and 2019. Differentiating between extreme drought frequency, intensity, and duration, we investigate their respective effects on the slowing down response. Our results indicate that the intensity of extreme droughts is a more important driver of slowing down than their duration, although their impacts vary across the different Amazon regions. In addition, areas with more variable precipitation are already less ecologically stable and need fewer droughts to induce slowing down. We present findings indicating that most of the Amazon region does not show an increasing trend in TAC. However, the predicted increase in extreme drought intensity and frequency could potentially transition significant portions of this ecosystem into a state with altered functionality., Competing Interests: Competing interests statement:The authors declare no competing interest.
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- 2024
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12. Predicting the responses of European grassland communities to climate and land cover change.
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Liu C and Van Meerbeek K
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- Humans, Biodiversity, Europe, European Union, Climate Change, Ecosystem, Grassland
- Abstract
European grasslands are among the most species-rich ecosystems on small spatial scales. However, human-induced activities like land use and climate change pose significant threats to this diversity. To explore how climate and land cover change will affect biodiversity and community composition in grassland ecosystems, we conducted joint species distribution models (SDMs) on the extensive vegetation-plot database sPlotOpen to project distributions of 1178 grassland species across Europe under current conditions and three future scenarios. We further compared model accuracy and computational efficiency between joint SDMs (JSDMs) and stacked SDMs, especially for rare species. Our results show that: (i) grassland communities in the mountain ranges are expected to suffer high rates of species loss, while those in western, northern and eastern Europe will experience substantial turnover; (ii) scaling anomalies were observed in the predicted species richness, reflecting regional differences in the dominant drivers of assembly processes; (iii) JSDMs did not outperform stacked SDMs in predictive power but demonstrated superior efficiency in model fitting and predicting; and (iv) incorporating co-occurrence datasets improved the model performance in predicting the distribution of rare species. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'.
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- 2024
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13. Microclimate reveals the true thermal niche of forest plant species.
- Author
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Haesen S, Lenoir J, Gril E, De Frenne P, Lembrechts JJ, Kopecký M, Macek M, Man M, Wild J, and Van Meerbeek K
- Subjects
- Trees, Plants, Biodiversity, Climate Change, Ecosystem, Microclimate, Forests
- Abstract
Species distributions are conventionally modelled using coarse-grained macroclimate data measured in open areas, potentially leading to biased predictions since most terrestrial species reside in the shade of trees. For forest plant species across Europe, we compared conventional macroclimate-based species distribution models (SDMs) with models corrected for forest microclimate buffering. We show that microclimate-based SDMs at high spatial resolution outperformed models using macroclimate and microclimate data at coarser resolution. Additionally, macroclimate-based models introduced a systematic bias in modelled species response curves, which could result in erroneous range shift predictions. Critically important for conservation science, these models were unable to identify warm and cold refugia at the range edges of species distributions. Our study emphasizes the crucial role of microclimate data when SDMs are used to gain insights into biodiversity conservation in the face of climate change, particularly given the growing policy and management focus on the conservation of refugia worldwide., (© 2023 John Wiley & Sons Ltd.)
- Published
- 2023
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14. The essential role of biodiversity in the key axes of ecosystem function.
- Author
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Yan P, Fernández-Martínez M, Van Meerbeek K, Yu G, Migliavacca M, and He N
- Subjects
- Humans, Phylogeny, Bayes Theorem, Water, Soil, Ecosystem, Biodiversity
- Abstract
Biodiversity is essential for maintaining the terrestrial ecosystem multifunctionality (EMF). Recent studies have revealed that the variations in terrestrial ecosystem functions are captured by three key axes: the maximum productivity, water use efficiency, and carbon use efficiency of the ecosystem. However, the role of biodiversity in supporting these three key axes has not yet been explored. In this study, we combined the (i) data collected from more than 840 vegetation plots across a large climatic gradient in China using standard protocols, (ii) data on plant traits and phylogenetic information for more than 2,500 plant species, and (iii) soil nutrient data measured in each plot. These data were used to systematically assess the contribution of environmental factors, species richness, functional and phylogenetic diversity, and community-weighted mean (CWM) and ecosystem traits (i.e., traits intensity normalized per unit land area) to EMF via hierarchical partitioning and Bayesian structural equation modeling. Multiple biodiversity attributes accounted for 70% of the influence of all the variables on EMF, and ecosystems with high functional diversity had high resource use efficiency. Our study is the first to systematically explore the role of different biodiversity attributes, including species richness, phylogenetic and functional diversity, and CWM and ecosystem traits, in the key axes of ecosystem functions. Our findings underscore that biodiversity conservation is critical for sustaining EMF and ultimately ensuring human well-being., (© 2023 John Wiley & Sons Ltd.)
- Published
- 2023
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15. ForestClim-Bioclimatic variables for microclimate temperatures of European forests.
- Author
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Haesen S, Lembrechts JJ, De Frenne P, Lenoir J, Aalto J, Ashcroft MB, Kopecký M, Luoto M, Maclean I, Nijs I, Niittynen P, van den Hoogen J, Arriga N, Brůna J, Buchmann N, Čiliak M, Collalti A, De Lombaerde E, Descombes P, Gharun M, Goded I, Govaert S, Greiser C, Grelle A, Gruening C, Hederová L, Hylander K, Kreyling J, Kruijt B, Macek M, Máliš F, Man M, Manca G, Matula R, Meeussen C, Merinero S, Minerbi S, Montagnani L, Muffler L, Ogaya R, Penuelas J, Plichta R, Portillo-Estrada M, Schmeddes J, Shekhar A, Spicher F, Ujházyová M, Vangansbeke P, Weigel R, Wild J, Zellweger F, and Van Meerbeek K
- Subjects
- Temperature, Forests, Ecosystem, Microclimate, Trees
- Abstract
Microclimate research gained renewed interest over the last decade and its importance for many ecological processes is increasingly being recognized. Consequently, the call for high-resolution microclimatic temperature grids across broad spatial extents is becoming more pressing to improve ecological models. Here, we provide a new set of open-access bioclimatic variables for microclimate temperatures of European forests at 25 × 25 m
2 resolution., (© 2023 John Wiley & Sons Ltd.)- Published
- 2023
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16. Integrating multiple plant functional traits to predict ecosystem productivity.
- Author
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Yan P, He N, Yu K, Xu L, and Van Meerbeek K
- Subjects
- Bayes Theorem, Forests, Ecology, Ecosystem
- Abstract
Quantifying and predicting variation in gross primary productivity (GPP) is important for accurate assessment of the ecosystem carbon budget under global change. Scaling traits to community scales for predicting ecosystem functions (i.e., GPP) remain challenging, while it is promising and well appreciated with the rapid development of trait-based ecology. In this study, we aim to integrate multiple plant traits with the recently developed trait-based productivity (TBP) theory, verify it via Bayesian structural equation modeling (SEM) and complementary independent effect analysis. We further distinguish the relative importance of different traits in explaining the variation in GPP. We apply the TBP theory based on plant community traits to a multi-trait dataset containing more than 13,000 measurements of approximately 2,500 species in Chinese forest and grassland systems. Remarkably, our SEM accurately predicts variation in annual and monthly GPP across China (R
2 values of 0.87 and 0.73, respectively). Plant community traits play a key role. This study shows that integrating multiple plant functional traits into the TBP theory strengthens the quantification of ecosystem primary productivity variability and further advances understanding of the trait-productivity relationship. Our findings facilitate integration of the growing plant trait data into future ecological models., (© 2023. The Author(s).)- Published
- 2023
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17. Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments.
- Author
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Desie E, Zuo J, Verheyen K, Djukic I, Van Meerbeek K, Auge H, Barsoum N, Baum C, Bruelheide H, Eisenhauer N, Feldhaar H, Ferlian O, Gravel D, Jactel H, Schmidt IK, Kepfer-Rojas S, Meredieu C, Mereu S, Messier C, Morillas L, Nock C, Paquette A, Ponette Q, Reich PB, Roales J, Scherer-Lorenzen M, Seitz S, Schmidt A, Stefanski A, Trogisch S, Halder IV, Weih M, Williams LJ, Yang B, and Muys B
- Subjects
- Plant Leaves, Forests, Tea, Biodiversity, Soil chemistry, Trees chemistry, Ecosystem
- Abstract
Litter decomposition is a key ecosystem function in forests and varies in response to a range of climatic, edaphic, and local stand characteristics. Disentangling the relative contribution of these factors is challenging, especially along large environmental gradients. In particular, knowledge of the effect of management options, such as tree planting density and species composition, on litter decomposition would be highly valuable in forestry. In this study, we made use of 15 tree diversity experiments spread over eight countries and three continents within the global TreeDivNet network. We evaluated the effects of overstory composition (tree identity, species/mixture composition and species richness), plantation conditions (density and age), and climate (temperature and precipitation) on mass loss (after 3 months and 1 year) of two standardized litters: high-quality green tea and low-quality rooibos tea. Across continents, we found that early-stage decomposition of the low-quality rooibos tea was influenced locally by overstory tree identity. Mass loss of rooibos litter was higher under young gymnosperm overstories compared to angiosperm overstories, but this trend reversed with age of the experiment. Tree species richness did not influence decomposition and explained almost no variation in our multi-continent dataset. Hence, in the young plantations of our study, overstory composition effects on decomposition were mainly driven by tree species identity on decomposer communities and forest microclimates. After 12 months of incubation, mass loss of the high-quality green tea litter was mainly influenced by temperature whereas the low-quality rooibos tea litter decomposition showed stronger relationships with overstory composition and stand age. Our findings highlight that decomposition dynamics are not only affected by climate but also by management options, via litter quality of the identity of planted trees but also by overstory composition and structure., Competing Interests: Declaration of competing interest All authors reports equipment, drugs, or supplies was provided by UNILEVER Lipton Tea Bags. Juan Zuo reports financial support was provided by Belspo. Nico Eisenhauer and Olga Ferlian reports financial support was provided by German Research Foundation FZT 118, 202548816. Helge Bruelheide, Bo Yang, Stefan Trogisch, Heike Feldhaar, Steffen Seitz reports financial support was provided by German Research Foundation FZT 118, 202548816. Martin Weih reports financial support was provided by Swedisch Energy Agency (36654-1, 36654-2, 36654-3 project DiPTiCC 16-CE32-0003. Michael Scherer-Lorenzen reports administrative support was provided by Federal Forestry Office Thüringer Wald., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2023
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18. Predicting ecosystem productivity based on plant community traits.
- Author
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He N, Yan P, Liu C, Xu L, Li M, Van Meerbeek K, Zhou G, Zhou G, Liu S, Zhou X, Li S, Niu S, Han X, Buckley TN, Sack L, and Yu G
- Subjects
- Models, Theoretical, Phenotype, Ecosystem, Plants genetics
- Abstract
With the rapid accumulation of plant trait data, major opportunities have arisen for the integration of these data into predicting ecosystem primary productivity across a range of spatial extents. Traditionally, traits have been used to explain physiological productivity at cell, organ, or plant scales, but scaling up to the ecosystem scale has remained challenging. Here, we show the need to combine measures of community-level traits and environmental factors to predict ecosystem productivity at landscape or biogeographic scales. We show how theory can extend the production ecology equation to enormous potential for integrating traits into ecological models that estimate productivity-related ecosystem functions across ecological scales and to anticipate the response of terrestrial ecosystems to global change., Competing Interests: Declaration of interests There are no conflicts of interest to declare., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2023
- Full Text
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19. Litter quality and stream physicochemical properties drive global invertebrate effects on instream litter decomposition.
- Author
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Yue K, De Frenne P, Van Meerbeek K, Ferreira V, Fornara DA, Wu Q, Ni X, Peng Y, Wang D, Heděnec P, Yang Y, Wu F, and Peñuelas J
- Subjects
- Animals, Biodegradation, Environmental, Invertebrates, Plant Leaves, Plants, Rivers, Ecosystem
- Abstract
Plant litter is the major source of energy and nutrients in stream ecosystems and its decomposition is vital for ecosystem nutrient cycling and functioning. Invertebrates are key contributors to instream litter decomposition, yet quantification of their effects and drivers at the global scale remains lacking. Here, we systematically synthesized data comprising 2707 observations from 141 studies of stream litter decomposition to assess the contribution and drivers of invertebrates to the decomposition process across the globe. We found that (1) the presence of invertebrates enhanced instream litter decomposition globally by an average of 74%; (2) initial litter quality and stream water physicochemical properties were equal drivers of invertebrate effects on litter decomposition, while invertebrate effects on litter decomposition were not affected by climatic region, mesh size of coarse-mesh bags or mycorrhizal association of plants providing leaf litter; and (3) the contribution of invertebrates to litter decomposition was greatest during the early stages of litter mass loss (0-20%). Our results, besides quantitatively synthesizing the global pattern of invertebrate contribution to instream litter decomposition, highlight the most significant effects of invertebrates on litter decomposition at early rather than middle or late decomposition stages, providing support for the inclusion of invertebrates in global dynamic models of litter decomposition in streams to explore mechanisms and impacts of terrestrial, aquatic, and atmospheric carbon fluxes., (© 2022 Cambridge Philosophical Society.)
- Published
- 2022
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20. Climatic legacy effects on the drought response of the Amazon rainforest.
- Author
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Van Passel J, de Keersmaecker W, Bernardino PN, Jing X, Umlauf N, Van Meerbeek K, and Somers B
- Subjects
- Climate Change, Forests, Satellite Imagery, Trees physiology, Water, Droughts, Rainforest
- Abstract
Extreme precipitation and drought events are predicted to become more intense and more frequent over the Amazon rainforest. Because changes in forest dynamics could prompt strong feedback loops to the global climate, it is of crucial importance to gain insight into the response of tropical forests to these recurring extreme climatic events. Here, we evaluated the Amazon forest stability (resistance and resilience) to drought in the context of past dry and wet climatic events using MODIS EVI satellite imagery and cumulative water deficit anomalies. We observed large spatial differences in the occurrence of extreme climatic events from 1980 to 2019, with an increase in drought frequency in the central and northern Amazon and drought intensity in the southern Amazon basin. An increasing trend in the occurrence of wet events was found in the western, southern, and eastern Amazon. Furthermore, we found significant legacy effects of previous climatic events on the forest drought response. An extreme drought closely preceding another drought decreased forest resilience, whereas the occurrence of a recent drier-than-usual event also decreased the forest resistance to later droughts. Both wetter-than-usual and extreme wet events preceding an extreme drought increased the resistance of the forest, and with similar effects sizes as dry events, indicating that wet and dry events have similarly sized legacy effects on the drought response of tropical forests. Our results indicate that the predicted increase in drought frequency and intensity can have negative consequences for the functioning of the Amazon forest. However, more frequent wet periods in combination with these droughts could counteract their negative impact. Finally, we also found that more stable forests according to the alternative stable states theory are also more resistant and resilient to individual droughts, showing a positive relationship between the equilibrium and non-equilibrium stability dynamics., (© 2022 John Wiley & Sons Ltd.)
- Published
- 2022
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21. Global maps of soil temperature.
- Author
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Lembrechts JJ, van den Hoogen J, Aalto J, Ashcroft MB, De Frenne P, Kemppinen J, Kopecký M, Luoto M, Maclean IMD, Crowther TW, Bailey JJ, Haesen S, Klinges DH, Niittynen P, Scheffers BR, Van Meerbeek K, Aartsma P, Abdalaze O, Abedi M, Aerts R, Ahmadian N, Ahrends A, Alatalo JM, Alexander JM, Allonsius CN, Altman J, Ammann C, Andres C, Andrews C, Ardö J, Arriga N, Arzac A, Aschero V, Assis RL, Assmann JJ, Bader MY, Bahalkeh K, Barančok P, Barrio IC, Barros A, Barthel M, Basham EW, Bauters M, Bazzichetto M, Marchesini LB, Bell MC, Benavides JC, Benito Alonso JL, Berauer BJ, Bjerke JW, Björk RG, Björkman MP, Björnsdóttir K, Blonder B, Boeckx P, Boike J, Bokhorst S, Brum BNS, Brůna J, Buchmann N, Buysse P, Camargo JL, Campoe OC, Candan O, Canessa R, Cannone N, Carbognani M, Carnicer J, Casanova-Katny A, Cesarz S, Chojnicki B, Choler P, Chown SL, Cifuentes EF, Čiliak M, Contador T, Convey P, Cooper EJ, Cremonese E, Curasi SR, Curtis R, Cutini M, Dahlberg CJ, Daskalova GN, de Pablo MA, Della Chiesa S, Dengler J, Deronde B, Descombes P, Di Cecco V, Di Musciano M, Dick J, Dimarco RD, Dolezal J, Dorrepaal E, Dušek J, Eisenhauer N, Eklundh L, Erickson TE, Erschbamer B, Eugster W, Ewers RM, Exton DA, Fanin N, Fazlioglu F, Feigenwinter I, Fenu G, Ferlian O, Fernández Calzado MR, Fernández-Pascual E, Finckh M, Higgens RF, Forte TGW, Freeman EC, Frei ER, Fuentes-Lillo E, García RA, García MB, Géron C, Gharun M, Ghosn D, Gigauri K, Gobin A, Goded I, Goeckede M, Gottschall F, Goulding K, Govaert S, Graae BJ, Greenwood S, Greiser C, Grelle A, Guénard B, Guglielmin M, Guillemot J, Haase P, Haider S, Halbritter AH, Hamid M, Hammerle A, Hampe A, Haugum SV, Hederová L, Heinesch B, Helfter C, Hepenstrick D, Herberich M, Herbst M, Hermanutz L, Hik DS, Hoffrén R, Homeier J, Hörtnagl L, Høye TT, Hrbacek F, Hylander K, Iwata H, Jackowicz-Korczynski MA, Jactel H, Järveoja J, Jastrzębowski S, Jentsch A, Jiménez JJ, Jónsdóttir IS, Jucker T, Jump AS, Juszczak R, Kanka R, Kašpar V, Kazakis G, Kelly J, Khuroo AA, Klemedtsson L, Klisz M, Kljun N, Knohl A, Kobler J, Kollár J, Kotowska MM, Kovács B, Kreyling J, Lamprecht A, Lang SI, Larson C, Larson K, Laska K, le Maire G, Leihy RI, Lens L, Liljebladh B, Lohila A, Lorite J, Loubet B, Lynn J, Macek M, Mackenzie R, Magliulo E, Maier R, Malfasi F, Máliš F, Man M, Manca G, Manco A, Manise T, Manolaki P, Marciniak F, Matula R, Mazzolari AC, Medinets S, Medinets V, Meeussen C, Merinero S, Mesquita RCG, Meusburger K, Meysman FJR, Michaletz ST, Milbau A, Moiseev D, Moiseev P, Mondoni A, Monfries R, Montagnani L, Moriana-Armendariz M, Morra di Cella U, Mörsdorf M, Mosedale JR, Muffler L, Muñoz-Rojas M, Myers JA, Myers-Smith IH, Nagy L, Nardino M, Naujokaitis-Lewis I, Newling E, Nicklas L, Niedrist G, Niessner A, Nilsson MB, Normand S, Nosetto MD, Nouvellon Y, Nuñez MA, Ogaya R, Ogée J, Okello J, Olejnik J, Olesen JE, Opedal ØH, Orsenigo S, Palaj A, Pampuch T, Panov AV, Pärtel M, Pastor A, Pauchard A, Pauli H, Pavelka M, Pearse WD, Peichl M, Pellissier L, Penczykowski RM, Penuelas J, Petit Bon M, Petraglia A, Phartyal SS, Phoenix GK, Pio C, Pitacco A, Pitteloud C, Plichta R, Porro F, Portillo-Estrada M, Poulenard J, Poyatos R, Prokushkin AS, Puchalka R, Pușcaș M, Radujković D, Randall K, Ratier Backes A, Remmele S, Remmers W, Renault D, Risch AC, Rixen C, Robinson SA, Robroek BJM, Rocha AV, Rossi C, Rossi G, Roupsard O, Rubtsov AV, Saccone P, Sagot C, Sallo Bravo J, Santos CC, Sarneel JM, Scharnweber T, Schmeddes J, Schmidt M, Scholten T, Schuchardt M, Schwartz N, Scott T, Seeber J, Segalin de Andrade AC, Seipel T, Semenchuk P, Senior RA, Serra-Diaz JM, Sewerniak P, Shekhar A, Sidenko NV, Siebicke L, Siegwart Collier L, Simpson E, Siqueira DP, Sitková Z, Six J, Smiljanic M, Smith SW, Smith-Tripp S, Somers B, Sørensen MV, Souza JJLL, Souza BI, Souza Dias A, Spasojevic MJ, Speed JDM, Spicher F, Stanisci A, Steinbauer K, Steinbrecher R, Steinwandter M, Stemkovski M, Stephan JG, Stiegler C, Stoll S, Svátek M, Svoboda M, Tagesson T, Tanentzap AJ, Tanneberger F, Theurillat JP, Thomas HJD, Thomas AD, Tielbörger K, Tomaselli M, Treier UA, Trouillier M, Turtureanu PD, Tutton R, Tyystjärvi VA, Ueyama M, Ujházy K, Ujházyová M, Uogintas D, Urban AV, Urban J, Urbaniak M, Ursu TM, Vaccari FP, Van de Vondel S, van den Brink L, Van Geel M, Vandvik V, Vangansbeke P, Varlagin A, Veen GF, Veenendaal E, Venn SE, Verbeeck H, Verbrugggen E, Verheijen FGA, Villar L, Vitale L, Vittoz P, Vives-Ingla M, von Oppen J, Walz J, Wang R, Wang Y, Way RG, Wedegärtner REM, Weigel R, Wild J, Wilkinson M, Wilmking M, Wingate L, Winkler M, Wipf S, Wohlfahrt G, Xenakis G, Yang Y, Yu Z, Yu K, Zellweger F, Zhang J, Zhang Z, Zhao P, Ziemblińska K, Zimmermann R, Zong S, Zyryanov VI, Nijs I, and Lenoir J
- Subjects
- Climate Change, Microclimate, Temperature, Ecosystem, Soil
- Abstract
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km
2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)- Published
- 2022
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22. Climatic conditions, not above- and belowground resource availability and uptake capacity, mediate tree diversity effects on productivity and stability.
- Author
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Jing X, Muys B, Baeten L, Bruelheide H, De Wandeler H, Desie E, Hättenschwiler S, Jactel H, Jaroszewicz B, Jucker T, Kardol P, Pollastrini M, Ratcliffe S, Scherer-Lorenzen M, Selvi F, Vancampenhout K, van der Plas F, Verheyen K, Vesterdal L, Zuo J, and Van Meerbeek K
- Subjects
- Biodiversity, Biomass, Forests, Soil, Ecosystem, Trees
- Abstract
Tree species diversity promotes multiple ecosystem functions and services. However, little is known about how above- and belowground resource availability (light, nutrients, and water) and resource uptake capacity mediate tree species diversity effects on aboveground wood productivity and temporal stability of productivity in European forests and whether the effects differ between humid and arid regions. We used the data from six major European forest types along a latitudinal gradient to address those two questions. We found that neither leaf area index (a proxy for light uptake capacity), nor fine root biomass (a proxy for soil nutrient and water uptake capacity) was related to tree species richness. Leaf area index did, however, enhance productivity, but negatively affected stability. Productivity was further promoted by soil nutrient availability, while stability was enhanced by fine root biomass. We only found a positive effect of tree species richness on productivity in arid regions and a positive effect on stability in humid regions. This indicates a possible disconnection between productivity and stability regarding tree species richness effects. In other words, the mechanisms that drive the positive effects of tree species richness on productivity do not per se benefit stability simultaneously. Our findings therefore suggest that tree species richness effects are largely mediated by differences in climatic conditions rather than by differences in above- and belowground resource availability and uptake capacity at the regional scales., Competing Interests: Declaration of Competing Interest We declare we have no competing interests., (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Published
- 2022
- Full Text
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23. Maintaining forest cover to enhance temperature buffering under future climate change.
- Author
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De Lombaerde E, Vangansbeke P, Lenoir J, Van Meerbeek K, Lembrechts J, Rodríguez-Sánchez F, Luoto M, Scheffers B, Haesen S, Aalto J, Christiansen DM, De Pauw K, Depauw L, Govaert S, Greiser C, Hampe A, Hylander K, Klinges D, Koelemeijer I, Meeussen C, Ogée J, Sanczuk P, Vanneste T, Zellweger F, Baeten L, and De Frenne P
- Subjects
- Ecosystem, Microclimate, Temperature, Climate Change, Forests
- Abstract
Forest canopies buffer macroclimatic temperature fluctuations. However, we do not know if and how the capacity of canopies to buffer understorey temperature will change with accelerating climate change. Here we map the difference (offset) between temperatures inside and outside forests in the recent past and project these into the future in boreal, temperate and tropical forests. Using linear mixed-effect models, we combined a global database of 714 paired time series of temperatures (mean, minimum and maximum) measured inside forests vs. in nearby open habitats with maps of macroclimate, topography and forest cover to hindcast past (1970-2000) and to project future (2060-2080) temperature differences between free-air temperatures and sub-canopy microclimates. For all tested future climate scenarios, we project that the difference between maximum temperatures inside and outside forests across the globe will increase (i.e. result in stronger cooling in forests), on average during 2060-2080, by 0.27 ± 0.16 °C (RCP2.6) and 0.60 ± 0.14 °C (RCP8.5) due to macroclimate changes. This suggests that extremely hot temperatures under forest canopies will, on average, warm less than outside forests as macroclimate warms. This knowledge is of utmost importance as it suggests that forest microclimates will warm at a slower rate than non-forested areas, assuming that forest cover is maintained. Species adapted to colder growing conditions may thus find shelter and survive longer than anticipated at a given forest site. This highlights the potential role of forests as a whole as microrefugia for biodiversity under future climate change., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Published
- 2022
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24. Foliar optical traits capture physiological and phenological leaf plasticity in Tilia×euchlora in the urban environment.
- Author
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Chi D, Van Meerbeek K, Yu K, Degerickx J, and Somers B
- Subjects
- Cities, Plant Leaves, Trees, Hot Temperature, Tilia
- Abstract
Knowledge on the response of trees to the urban heat island (UHI) effect and soil sealing is currently limited, yet of vital importance in an era characterized by both climate change and urbanization. We investigated the physiological and phenological leaf plasticity of Tilia×euchlora trees to the UHI effect and soil sealing and explored the potential of leaf optical traits to quantify the magnitude of leaf plasticity. Temporal changes of leaf water content (LWC), specific leaf area (SLA), total chlorophyll (Chl) and carotenoids (Car) content, Car:Chl ratio and leaf reflectance for 46 Tilia×euchlora trees were measured along a soil sealing and urbanization gradient. The leaf functional traits displayed trait-specific temporal patterns during the growing season. We observed higher LWC and SLA but lower Chl and Car contents in the coolest zones. We found earlier autumn downregulation in Chl and Car content at paved sites compared to unsealed sites (maximum difference = 13 days). The magnitude of plasticity in relation to the UHI and soil sealing varied in leaf functional traits with largest variation observed in Chl (38%), followed by Car:Chl (31%), Car (29%), SLA (26%) and LWC (8%). The proposed spectral indices calculated using leaf reflectance measurements were able to track the spatiotemporal variations and phenology in the leaf functional traits. Our results clearly demonstrate the leaf plasticity of Tilia×euchlora trees, which provides Tilia×euchlora trees the necessary capacity to adapt to rapid changes in the urban environment. More importantly, we demonstrated the suitability of leaf optical traits to serve as a proxy of leaf functional traits for studying the spatiotemporal response of urban trees to environmental factors, which opens up new possibilities for large scale ecological studies using remote sensing., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Published
- 2022
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- View/download PDF
25. ForestTemp - Sub-canopy microclimate temperatures of European forests.
- Author
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Haesen S, Lembrechts JJ, De Frenne P, Lenoir J, Aalto J, Ashcroft MB, Kopecký M, Luoto M, Maclean I, Nijs I, Niittynen P, van den Hoogen J, Arriga N, Brůna J, Buchmann N, Čiliak M, Collalti A, De Lombaerde E, Descombes P, Gharun M, Goded I, Govaert S, Greiser C, Grelle A, Gruening C, Hederová L, Hylander K, Kreyling J, Kruijt B, Macek M, Máliš F, Man M, Manca G, Matula R, Meeussen C, Merinero S, Minerbi S, Montagnani L, Muffler L, Ogaya R, Penuelas J, Plichta R, Portillo-Estrada M, Schmeddes J, Shekhar A, Spicher F, Ujházyová M, Vangansbeke P, Weigel R, Wild J, Zellweger F, and Van Meerbeek K
- Subjects
- Climate Change, Temperature, Trees, Forests, Microclimate
- Abstract
Ecological research heavily relies on coarse-gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids. In forests, the tree canopy functions as a thermal insulator and buffers sub-canopy microclimatic conditions, thereby affecting biological and ecological processes. To improve the assessment of climatic conditions and climate-change-related impacts on forest-floor biodiversity and functioning, high-resolution temperature grids reflecting forest microclimates are thus urgently needed. Combining more than 1200 time series of in situ near-surface forest temperature with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub-canopy temperature at 15 cm above the surface and free-air temperature over the period 2000-2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. We found that sub-canopy air temperatures differ substantially from free-air temperatures, being on average 2.1°C (standard deviation ± 1.6°C) lower in summer and 2.0°C higher (±0.7°C) in winter across Europe. Additionally, our high-resolution maps expose considerable microclimatic variation within landscapes, not captured by the gridded macroclimatic products. The provided forest sub-canopy temperature maps will enable future research to model below-canopy biological processes and patterns, as well as species distributions more accurately., (© 2021 John Wiley & Sons Ltd.)
- Published
- 2021
- Full Text
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