50 results on '"van den Hoogen, Johan"'
Search Results
2. Integrated global assessment of the natural forest carbon potential
- Author
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Mo, Lidong, Zohner, Constantin M., Reich, Peter B., Liang, Jingjing, de Miguel, Sergio, Nabuurs, Gert-Jan, Renner, Susanne S., van den Hoogen, Johan, Araza, Arnan, Herold, Martin, Mirzagholi, Leila, Ma, Haozhi, Averill, Colin, Phillips, Oliver L., Gamarra, Javier G. P., Hordijk, Iris, Routh, Devin, Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Amaral, Iêda, Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G., Cesljar, Goran, Chazdon, Robin L., Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Kucher, Dmitry, Laarmann, Diana, Lang, Mait, Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Mendoza-Polo, Irina, Miscicki, Stanislaw, Merow, Cory, Monteagudo Mendoza, Abel, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Picard, Nicolas, Piedade, Maria Teresa F., Piotto, Daniel, Pitman, Nigel C. A., Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., Gann, George D., and Crowther, Thomas W.
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- 2023
- Full Text
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3. The global biogeography of tree leaf form and habit
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Ma, Haozhi, Crowther, Thomas W., Mo, Lidong, Maynard, Daniel S., Renner, Susanne S., van den Hoogen, Johan, Zou, Yibiao, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Niinemets, Ülo, Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Valverde, Fernando Cornejo, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Finér, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Kucher, Dmitry, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Monteagudo Mendoza, Abel, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa F., Piotto, Daniel, Pitman, Nigel C. A., Mendoza-Polo, Irina, Poulsen, Axel D., Poulsen, John R., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miścicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Westerlund, Bertil, Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderick, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Zohner, Constantin M.
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- 2023
- Full Text
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4. Native diversity buffers against severity of non-native tree invasions
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Delavaux, Camille S., Crowther, Thomas W., Zohner, Constantin M., Robmann, Niamh M., Lauber, Thomas, van den Hoogen, Johan, Kuebbing, Sara, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa T. F., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel D., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miscicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Do, Tran Van, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Maynard, Daniel S.
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- 2023
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5. Globally invariant metabolism but density-diversity mismatch in springtails
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Potapov, Anton M., Guerra, Carlos A., van den Hoogen, Johan, Babenko, Anatoly, Bellini, Bruno C., Berg, Matty P., Chown, Steven L., Deharveng, Louis, Kováč, Ľubomír, Kuznetsova, Natalia A., Ponge, Jean-François, Potapov, Mikhail B., Russell, David J., Alexandre, Douglas, Alatalo, Juha M., Arbea, Javier I., Bandyopadhyaya, Ipsa, Bernava, Verónica, Bokhorst, Stef, Bolger, Thomas, Castaño-Meneses, Gabriela, Chauvat, Matthieu, Chen, Ting-Wen, Chomel, Mathilde, Classen, Aimee T., Cortet, Jerome, Čuchta, Peter, Manuela de la Pedrosa, Ana, Ferreira, Susana S. D., Fiera, Cristina, Filser, Juliane, Franken, Oscar, Fujii, Saori, Koudji, Essivi Gagnon, Gao, Meixiang, Gendreau-Berthiaume, Benoit, Gomez-Pamies, Diego F., Greve, Michelle, Tanya Handa, I., Heiniger, Charlène, Holmstrup, Martin, Homet, Pablo, Ivask, Mari, Janion-Scheepers, Charlene, Jochum, Malte, Joimel, Sophie, Claudia S. Jorge, Bruna, Jucevica, Edite, Ferlian, Olga, Iuñes de Oliveira Filho, Luís Carlos, Klauberg-Filho, Osmar, Baretta, Dilmar, Krab, Eveline J., Kuu, Annely, de Lima, Estevam C. A., Lin, Dunmei, Lindo, Zoe, Liu, Amy, Lu, Jing-Zhong, Luciañez, María José, Marx, Michael T., McCary, Matthew A., Minor, Maria A., Nakamori, Taizo, Negri, Ilaria, Ochoa-Hueso, Raúl, Palacios-Vargas, José G., Pollierer, Melanie M., Querner, Pascal, Raschmanová, Natália, Rashid, Muhammad Imtiaz, Raymond-Léonard, Laura J., Rousseau, Laurent, Saifutdinov, Ruslan A., Salmon, Sandrine, Sayer, Emma J., Scheunemann, Nicole, Scholz, Cornelia, Seeber, Julia, Shveenkova, Yulia B., Stebaeva, Sophya K., Sterzynska, Maria, Sun, Xin, Susanti, Winda I., Taskaeva, Anastasia A., Thakur, Madhav P., Tsiafouli, Maria A., Turnbull, Matthew S., Twala, Mthokozisi N., Uvarov, Alexei V., Venier, Lisa A., Widenfalk, Lina A., Winck, Bruna R., Winkler, Daniel, Wu, Donghui, Xie, Zhijing, Yin, Rui, Zeppelini, Douglas, Crowther, Thomas W., Eisenhauer, Nico, and Scheu, Stefan
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- 2023
- Full Text
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6. Author Correction: Native diversity buffers against severity of non-native tree invasions
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Delavaux, Camille S., Crowther, Thomas W., Zohner, Constantin M., Robmann, Niamh M., Lauber, Thomas, van den Hoogen, Johan, Kuebbing, Sara, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa T. F., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel D., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miscicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Do, Tran Van, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Maynard, Daniel S.
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- 2023
- Full Text
- View/download PDF
7. Defending Earth’s terrestrial microbiome
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Averill, Colin, Anthony, Mark A., Baldrian, Petr, Finkbeiner, Felix, van den Hoogen, Johan, Kiers, Toby, Kohout, Petr, Hirt, Eliane, Smith, Gabriel Reuben, and Crowther, Tom W.
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- 2022
- Full Text
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8. Land-use- and climate-mediated variations in soil bacterial and fungal biomass across Europe and their driving factors
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Siles, José A., Vera, Alfonso, Díaz-López, Marta, García, Carlos, van den Hoogen, Johan, Crowther, Thomas W., Eisenhauer, Nico, Guerra, Carlos, Jones, Arwyn, Orgiazzi, Alberto, Delgado-Baquerizo, Manuel, and Bastida, Felipe
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- 2023
- Full Text
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9. Macroevolutionary decline in mycorrhizal colonization and chemical defense responsiveness to mycorrhization
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Formenti, Ludovico, Iwanycki Ahlstrand, Natalie, Hassemer, Gustavo, Glauser, Gaëtan, van den Hoogen, Johan, Rønsted, Nina, van der Heijden, Marcel, Crowther, Thomas W., and Rasmann, Sergio
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- 2023
- Full Text
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10. Alternative stable states of the forest mycobiome are maintained through positive feedbacks
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Averill, Colin, Fortunel, Claire, Maynard, Daniel S., van den Hoogen, Johan, Dietze, Michael C., Bhatnagar, Jennifer M., and Crowther, Thomas W.
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- 2022
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11. Global relationships in tree functional traits
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Maynard, Daniel S., Bialic-Murphy, Lalasia, Zohner, Constantin M., Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, Alicia T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C. F., Catford, Jane A., Cerabolini, Bruno E. L., Dias, Arildo S., González-Melo, Andrés, Hietz, Peter, Lusk, Christopher H., Mori, Akira S., Niinemets, Ülo, Pillar, Valério D., Pinho, Bruno X., Rosell, Julieta A., Schurr, Frank M., Sheremetev, Serge N., da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M., Weiher, Evan, Bönisch, Gerhard, Kattge, Jens, and Crowther, Thomas W.
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- 2022
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12. Mapping safe drinking water use in low- and middle-income countries.
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Greenwood, Esther E., Lauber, Thomas, van den Hoogen, Johan, Donmez, Ayca, Bain, Robert E. S., Johnston, Richard, Crowther, Thomas W., and Julian, Timothy R.
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- 2024
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13. The global distribution and environmental drivers of aboveground versus belowground plant biomass
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Ma, Haozhi, Mo, Lidong, Crowther, Thomas W., Maynard, Daniel S., van den Hoogen, Johan, Stocker, Benjamin D., Terrer, César, and Zohner, Constantin M.
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- 2021
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14. Evidence for large microbial-mediated losses of soil carbon under anthropogenic warming
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García-Palacios, Pablo, Crowther, Thomas W., Dacal, Marina, Hartley, Iain P., Reinsch, Sabine, Rinnan, Riikka, Rousk, Johannes, van den Hoogen, Johan, Ye, Jian-Sheng, and Bradford, Mark A.
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- 2021
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15. Reading tea leaves worldwide: Decoupled drivers of initial litter decomposition mass‐loss rate and stabilization.
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Sarneel, Judith M., Hefting, Mariet M., Sandén, Taru, van den Hoogen, Johan, Routh, Devin, Adhikari, Bhupendra S., Alatalo, Juha M., Aleksanyan, Alla, Althuizen, Inge H. J., Alsafran, Mohammed H. S. A., Atkins, Jeff W., Augusto, Laurent, Aurela, Mika, Azarov, Aleksej V., Barrio, Isabel C., Beier, Claus, Bejarano, María D., Benham, Sue E., Berg, Björn, and Bezler, Nadezhda V.
- Subjects
CARBON cycle ,TEA ,SOIL biodiversity ,PLANT genetic transformation ,READING - Abstract
The breakdown of plant material fuels soil functioning and biodiversity. Currently, process understanding of global decomposition patterns and the drivers of such patterns are hampered by the lack of coherent large‐scale datasets. We buried 36,000 individual litterbags (tea bags) worldwide and found an overall negative correlation between initial mass‐loss rates and stabilization factors of plant‐derived carbon, using the Tea Bag Index (TBI). The stabilization factor quantifies the degree to which easy‐to‐degrade components accumulate during early‐stage decomposition (e.g. by environmental limitations). However, agriculture and an interaction between moisture and temperature led to a decoupling between initial mass‐loss rates and stabilization, notably in colder locations. Using TBI improved mass‐loss estimates of natural litter compared to models that ignored stabilization. Ignoring the transformation of dead plant material to more recalcitrant substances during early‐stage decomposition, and the environmental control of this transformation, could overestimate carbon losses during early decomposition in carbon cycle models. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Mapping carbon accumulation potential from global natural forest regrowth
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Cook-Patton, Susan C., Leavitt, Sara M., Gibbs, David, Harris, Nancy L., Lister, Kristine, Anderson-Teixeira, Kristina J., Briggs, Russell D., Chazdon, Robin L., Crowther, Thomas W., Ellis, Peter W., Griscom, Heather P., Herrmann, Valentine, Holl, Karen D., Houghton, Richard A., Larrosa, Cecilia, Lomax, Guy, Lucas, Richard, Madsen, Palle, Malhi, Yadvinder, Paquette, Alain, Parker, John D., Paul, Keryn, Routh, Devin, Roxburgh, Stephen, Saatchi, Sassan, van den Hoogen, Johan, Walker, Wayne S., Wheeler, Charlotte E., Wood, Stephen A., Xu, Liang, and Griscom, Bronson W.
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- 2020
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17. Ten simple rules for using large language models in science, version 1.0.
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Smith, Gabriel Reuben, Bello, Carolina, Bialic-Murphy, Lalasia, Clark, Emily, Delavaux, Camille S., Fournier de Lauriere, Camille, van den Hoogen, Johan, Lauber, Thomas, Ma, Haozhi, Maynard, Daniel S., Mirman, Matthew, Mo, Lidong, Rebindaine, Dominic, Reek, Josephine Elena, Werden, Leland K., Wu, Zhaofei, Yang, Gayoung, Zhao, Qingzhou, Zohner, Constantin M., and Crowther, Thomas W.
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LANGUAGE models ,GENERATIVE artificial intelligence ,SCIENTIFIC language ,GENERATIVE pre-trained transformers ,LINGUISTICS ,CHATBOTS ,TUNDRAS - Abstract
The article explores the use of large language models (LLMs) in scientific research, highlighting their potential benefits and limitations. It provides examples of how LLMs can assist in various scientific tasks, such as summarizing documents and improving writing. However, it also acknowledges the need for fact-checking and the potential biases in training data. The authors emphasize the importance of adhering to ethical guidelines and journal policies when using LLMs. While LLMs can be valuable tools, caution should be exercised in their use. [Extracted from the article]
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- 2024
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18. Comparative genomics of the nonlegume Parasponia reveals insights into evolution of nitrogen-fixing rhizobium symbioses
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van Velzen, Robin, Holmer, Rens, Bu, Fengjiao, Rutten, Luuk, van Zeijl, Arjan, Liu, Wei, Santuari, Luca, Cao, Qingqin, Sharma, Trupti, Shen, Defeng, Roswanjaya, Yuda, Wardhani, Titis A. K., Kalhor, Maryam Seifi, Jansen, Joelle, van den Hoogen, Johan, Güngör, Berivan, Hartog, Marijke, Hontelez, Jan, Verver, Jan, Yang, Wei-Cai, Schijlen, Elio, Repin, Rimi, Schilthuizen, Menno, Schranz, M. Eric, Heidstra, Renze, Miyata, Kana, Fedorova, Elena, Kohlen, Wouter, Bisseling, Ton, Smit, Sandra, and Geurts, Rene
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- 2018
19. Soil nematode abundance and functional group composition at a global scale
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van den Hoogen, Johan, Geisen, Stefan, Routh, Devin, Ferris, Howard, Traunspurger, Walter, Wardle, David A., and de Goede, Ron G. M.
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Nematoda -- Research -- Distribution -- Observations ,Soil ecology -- Research ,Zoological research ,Zoogeography -- Research ,Company distribution practices ,Environmental issues ,Science and technology ,Zoology and wildlife conservation - Abstract
Soil organisms are a crucial part of the terrestrial biosphere. Despite their importance for ecosystem functioning, few quantitative, spatially explicit models of the active belowground community currently exist. In particular, nematodes are the most abundant animals on Earth, filling all trophic levels in the soil food web. Here we use 6,759 georeferenced samples to generate a mechanistic understanding of the patterns of the global abundance of nematodes in the soil and the composition of their functional groups. The resulting maps show that 4.4 [plus or minus] 0.64 × 10.sup.20 nematodes (with a total biomass of approximately 0.3 gigatonnes) inhabit surface soils across the world, with higher abundances in sub-Arctic regions (38% of total) than in temperate (24%) or tropical (21%) regions. Regional variations in these global trends also provide insights into local patterns of soil fertility and functioning. These high-resolution models provide the first steps towards representing soil ecological processes in global biogeochemical models and will enable the prediction of elemental cycling under current and future climate scenarios. High-resolution spatial maps of the global abundance of soil nematodes and the composition of functional groups show that soil nematodes are found in higher abundances in sub-Arctic regions, than in temperate or tropical regions., Author(s): Johan van den Hoogen [sup.1] , Stefan Geisen [sup.1] [sup.2] , Devin Routh [sup.1] , Howard Ferris [sup.3] , Walter Traunspurger [sup.4] , David A. Wardle [sup.5] , Ron [...]
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- 2019
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20. Improving access and use of climate projections for ecological research through the use of a new Python tool.
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Paz, Andrea, Lauber, Thomas, Crowther, Thomas W., and van den Hoogen, Johan
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GENERAL circulation model ,SPATIAL systems - Abstract
Over the past decade, the use of future climate projections from the coupled model intercomparison project (CMIP) has become central in biodiversity science. Pre‐packaged datasets containing future projections of the widely used bioclimatic variables, for different times and socio‐economic pathways, have contributed immensely to the study of climate change implications for biodiversity. However, these datasets lack the flexibility to obtain projections to other target years, and the use of raw data requires coding and spatial information systems expertise. The Python tool, 'chelsa‐cmip6', developed by Karger et al., provides the flexibility needed by allowing users to generate bioclimatic variables for the time of their choice provided the selected general circulation model and socioeconomic pathway combination exists. This is a fantastic step forward in bringing flexibility to the use of climate datasets in biodiversity and will allow for more widespread use of data provided by CMIP6. We hope it also will prompt the development of more user‐friendly tools for the study of the effects of climate change on biodiversity. [ABSTRACT FROM AUTHOR]
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- 2024
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21. A global database of soil nematode abundance and functional group composition
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van den Hoogen, Johan, Geisen, Stefan, Wall, Diana H., Wardle, David A., Traunspurger, Walter, de Goede, Ron G. M., Adams, Byron J., Ahmad, Wasim, Ferris, Howard, Bardgett, Richard D., Bonkowski, Michael, Campos-Herrera, Raquel, Cares, Juvenil E., Caruso, Tancredi, de Brito Caixeta, Larissa, Chen, Xiaoyun, Costa, Sofia R., Creamer, Rachel, da Cunha e Castro, José Mauro, Dam, Marie, Djigal, Djibril, Escuer, Miguel, Griffiths, Bryan S., Gutiérrez, Carmen, Hohberg, Karin, Kalinkina, Daria, Kardol, Paul, Kergunteuil, Alan, Korthals, Gerard, Krashevska, Valentyna, Kudrin, Alexey A., Li, Qi, Liang, Wenju, Magilton, Matthew, Marais, Mariette, Martín, José Antonio Rodríguez, Matveeva, Elizaveta, Mayad, El Hassan, Mzough, E., Mulder, Christian, Mullin, Peter, Neilson, Roy, Nguyen, T. A. Duong, Nielsen, Uffe N., Okada, Hiroaki, Rius, Juan Emilio Palomares, Pan, Kaiwen, Peneva, Vlada, Pellissier, Loïc, da Silva, Julio Carlos Pereira, Pitteloud, Camille, Powers, Thomas O., Powers, Kirsten, Quist, Casper W., Rasmann, Sergio, Moreno, Sara Sánchez, Scheu, Stefan, Setälä, Heikki, Sushchuk, Anna, Tiunov, Alexei V., Trap, Jean, Vestergård, Mette, Villenave, Cecile, Waeyenberge, Lieven, Wilschut, Rutger A., Wright, Daniel G., Keith, Aidan M., Yang, Jiue-in, Schmidt, Olaf, Bouharroud, R., Ferji, Z., van der Putten, Wim H., Routh, Devin, and Crowther, Thomas W.
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- 2020
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22. Author Correction: Evidence for large microbial-mediated losses of soil carbon under anthropogenic warming
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García-Palacios, Pablo, Crowther, Thomas W., Dacal, Marina, Hartley, Iain P., Reinsch, Sabine, Rinnan, Riikka, Rousk, Johannes, van den Hoogen, Johan, Ye, Jian-Sheng, and Bradford, Mark A.
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- 2021
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23. Global maps of soil temperature
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Winkler, Manuela, Plichta, Roman, Buysse, Pauline, Lohila, Annalea, Spicher, Fabien, Boeckx, Pascal, Wild, Jan, Feigenwinter, Iris, Olejnik, Janusz, Risch, Anita, Khuroo, Anzar, Lynn, Joshua, di Cella, Umberto, Schmidt, Marius, Urbaniak, Marek, Marchesini, Luca, Govaert, Sanne, Uogintas, Domas, Assis, Rafael, Medinets, Volodymyr, Abdalaze, Otar, Varlagin, Andrej, Dolezal, Jiri, Myers, Jonathan, Randall, Krystal, Bauters, Marijn, Jimenez, Juan, Stoll, Stefan, Petraglia, Alessandro, Mazzolari, Ana, Ogaya, Romà, Tyystjärvi, Vilna, Hammerle, Albin, Wipf, Sonja, Lorite, Juan, Fanin, Nicolas, Benavides, Juan, Scholten, Thomas, Yu, Zicheng, Veen, G., Treier, Urs, Candan, Onur, Bell, Michael, Hörtnagl, Lukas, Siebicke, Lukas, Vives-Ingla, Maria, Eugster, Werner, Grelle, Achim, Stemkovski, Michael, Theurillat, Jean-Paul, Matula, Radim, Dorrepaal, Ellen, Steinbrecher, Rainer, Alatalo, Juha, Fenu, Giuseppe, Arzac, Alberto, Homeier, Jürgen, Porro, Francesco, Robinson, Sharon, Ghosn, Dany, Haugum, Siri, Ziemblińska, Klaudia, Camargo, José, Zhao, Peng, Niittynen, Pekka, Liljebladh, Bengt, Normand, Signe, Dias, Arildo, Larson, Christian, Peichl, Matthias, Collier, Laura, Myers-Smith, Isla, Zong, Shengwei, Kašpar, Vít, Cooper, Elisabeth, Haider, Sylvia, von Oppen, Jonathan, Cutini, Maurizio, Benito-Alonso, José-Luis, Luoto, Miska, Klemedtsson, Leif, Higgens, Rebecca, Zhang, Jian, Speed, James, Nijs, Ivan, Macek, Martin, Steinwandter, Michael, Poyatos, Rafael, Niedrist, Georg, Curasi, Salvatore, Yang, Yan, Dengler, Jürgen, Géron, Charly, de Pablo, Miguel, Xenakis, Georgios, Kreyling, Juergen, Forte, Tai, Bailey, Joseph, Knohl, Alexander, Goulding, Keith, Wilkinson, Matthew, Kljun, Natascha, Roupsard, Olivier, Stiegler, Christian, Verbruggen, Erik, Wingate, Lisa, Lamprecht, Andrea, Hamid, Maroof, Rossi, Graziano, Descombes, Patrice, Hrbacek, Filip, Bjornsdottir, Katrin, Poulenard, Jérôme, Meeussen, Camille, Guénard, Benoit, Venn, Susanna, Dimarco, Romina, Man, Matěj, Scharnweber, Tobias, Chown, Steven, Pio, Casimiro, Way, Robert, Erickson, Todd, Fernández-Pascual, Eduardo, Pușcaș, Mihai, Orsenigo, Simone, Di Musciano, Michele, Enquist, Brian, Newling, Emily, Tagesson, Torbern, Kemppinen, Julia, Serra-Diaz, Josep, Gottschall, Felix, Schuchardt, Max, Pitacco, Andrea, Jump, Alistair, Exton, Dan, Carnicer, Jofre, Aschero, Valeria, Urban, Anastasiya, Daskalova, Gergana, Santos, Cinthya, Goeckede, Mathias, Bruna, Josef, Andrews, Christopher, Jónsdóttir, Ingibjörg, Casanova-Katny, Angélica, Moriana-Armendariz, Mikel, Ewers, Robert, Pärtel, Meelis, Sagot, Clotilde, Herbst, Mathias, De Frenne, Pieter, Milbau, Ann, Gobin, Anne, Alexander, Jake, Kopecký, Martin, Buchmann, Nina, Kotowska, Martyna, Puchalka, Radoslaw, Penuelas, Josep, Gigauri, Khatuna, Prokushkin, Anatoly, Moiseev, Pavel, Jentsch, Anke, Klisz, Marcin, Barrio, Isabel, Ammann, Christof, Panov, Alexey, Van Geel, Maarten, Finckh, Manfred, Vaccari, Francesco, Erschbamer, Brigitta, Backes, Amanda, Robroek, Bjorn, Campoe, Otávio, Ahmadian, Negar, Boike, Julia, Thomas, Haydn, Pastor, Ada, Smith, Stuart, Pauli, Harald, Kollár, Jozef, de Cássia Guimarães Mesquita, Rita, Michaletz, Sean, Fuentes-Lillo, Eduardo, Urban, Josef, Greenwood, Sarah, Lens, Luc, Van de Vondel, Stijn, Vitale, Luca, Remmele, Sabine, Naujokaitis-Lewis, Ilona, Meusburger, Katrin, Cremonese, Edoardo, Barros, Agustina, Bokhorst, Stef, Svátek, Martin, Allonsius, Camille, Høye, Toke, Smiljanic, Marko, Hik, David, Canessa, Rafaella, van den Hoogen, Johan, Altman, Jan, Björkman, Mats, Cesarz, Simone, Blonder, Benjamin, Kazakis, George, Opedal, Øystein, Assmann, Jakob, Tanentzap, Andrew, Sidenko, Nikita, le Maire, Guerric, Ursu, Tudor-Mihai, Montagnani, Leonardo, Muffler, Lena, Hederová, Lucia, Rubtsov, Alexey, Pauchard, Aníbal, Tielbörger, Katja, Sørensen, Mia, Crowther, Thomas, Remmers, Wolfram, Pitteloud, Camille, Zyryanov, Viacheslav, Nilsson, Matts, Bazzichetto, Manuele, Sallo-Bravo, Jhonatan, Moiseev, Dmitry, Spasojevic, Marko, Haase, Peter, Pearse, William, Tutton, Rosamond, Fazlioglu, Fatih, Siqueira, David, Ardö, Jonas, Nardino, Marianna, Tomaselli, Marcello, Pavelka, Marian, García, Rafael, Nosetto, Marcelo, Bon, Matteo, Semenchuk, Philipp, Choler, Philippe, Scott, Tony, Halbritter, Aud, Dušek, Jiří, Mackenzie, Roy, Stanisci, Angela, Nouvellon, Yann, Kovács, Bence, Haesen, Stef, Veenendaal, Elmar, Juszczak, Radoslaw, Verheijen, Frank, de Andrade, Ana, Verbeeck, Hans, Bader, Maaike, RENAULT, David, Zimmermann, Reiner, Ferlian, Olga, Medinets, Sergiy, Walz, Josefine, Rossi, Christian, Rocha, Adrian, Lembrechts, Jonas, Jactel, Hervé, Brum, Barbara, Aartsma, Peter, Kobler, Johannes, Eisenhauer, Nico, Bjerke, Jarle, Pellissier, Loïc, Ueyama, Masahito, Manca, Giovanni, Bahalkeh, Khadijeh, Meysman, Filip, Niessner, Armin, Curtis, Robin, Six, Johan, Saccone, Patrick, Wang, Runxi, Ahrends, Antje, Okello, Joseph, Kolle, Olaf, Portillo-Estrada, Miguel, Laska, Kamil, Freeman, Erika, Di Cecco, Valter, Ashcroft, Michael, Steinbauer, Klaus, Della Chiesa, Stefano, van den Brink, Liesbeth, Herberich, Maximiliane, Loubet, Benjamin, Barančok, Peter, Hermanutz, Luise, Souza, Bartolomeu, Contador, Tamara, Zhang, Zhaochen, Aerts, Rien, Stephan, Jörg, Chojnicki, Bogdan, Manco, Antonio, Larson, Keith, Mondoni, Andrea, Palaj, Andrej, Schmeddes, Jonas, Hepenstrick, Daniel, Järveoja, Järvi, Manise, Tanguy, Barthel, Matti, Marciniak, Felipe, Weigel, Robert, Rixen, Christian, Turtureanu, Pavel, Hoffrén, Raúl, Iwata, Hiroki, Vittoz, Pascal, Wedegärtner, Ronja, Penczykowski, Rachel, Phartyal, Shyam, Sitková, Zuzana, Nagy, Laszlo, Ujházy, Karol, Heinesch, Bernard, Berauer, Bernd, Ogée, Jérôme, Malfasi, Francesco, Greise, Caroline, Helfter, Carole, Mosedale, Jonathan, Senior, Rebecca, Magliulo, Enzo, Nuñez, Martin, García, María, Wohlfahrt, Georg, Carbognani, Michele, Thomas, Andrew, Eklundh, Lars, Erfanian, Mohammad, Villar, Luis, Maier, Regine, Dahlberg, C., Guglielmin, Mauro, Jucker, Tommaso, Kelly, Julia, Olesen, Jørgen, Lang, Simone, Tanneberger, Franziska, Gharun, Mana, Jackowicz-Korczynski, Marcin, Convey, Peter, Aalto, Juha, Scheffers, Brett, Ujházyová, Mariana, Andres, Christian, Arriga, Nicola, Smith-Tripp, Sarah, Kanka, Róbert, Dick, Jan, Leihy, Rachel, Van Meerbeek, Koenraad, Maclean, Ilya, Vangansbeke, Pieter, Pampuch, Timo, Čiliak, Marek, Guillemot, Joannès, Sarneel, Judith, Souza, José, Svoboda, Miroslav, Björk, Robert, Merinero, Sonia, Zellweger, Florian, Simpson, Elizabeth, Cannone, Nicoletta, Abedi, Mehdi, Seipel, Tim, Klinges, David, Máliš, František, Basham, Edmund, Sewerniak, Piotr, Schwartz, Naomi, Trouillier, Mario, Vandvik, Vigdis, Shekhar, Ankit, Munoz-Rojas, Miriam, Nicklas, Lena, Goded, Ignacio, Manolaki, Paraskevi, Radujković, Dajana, Yu, Kailiang, Phoenix, Gareth, Cifuentes, Edgar, Seeber, Julia, Deronde, Bart, Lenoir, Jonathan, Frei, Esther, Wilmking, Martin, Hylander, Kristoffer, Graae, Bente, Calzado, M., Wang, Yifeng, Hampe, Arndt, Somers, Ben, Mörsdorf, Martin, Jastrzebowski, Szymon, Ejtehadi, Hamid, Terrestrial Ecology (TE), Universidad de Alcalá. Departamento de Geología, Geografía y Medio Ambiente, BioGeoClimate Modelling Lab, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), Institute for Atmospheric and Earth System Research (INAR), Universiteit Antwerpen = University of Antwerpen [Antwerpen], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), LTSER Zone Atelier Alpes, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 12P1819N, Fonds Wetenschappelijk Onderzoek, ANR-10-LABX-0045,COTE,COntinental To coastal Ecosystems: evolution, adaptability and governance(2010), ANR-13-ISV7-0004,ODYSSEE,De nouvelles voies pour la modélisation des dynamiques d'assemblages d'espèces intégrant l'écologie et l'évolution: le cas des écosystèmes de montagne des Alpes et des Carpates(2013), ANR-20-EBI5-0004,ASICS,ASsessing and mitigating the effects of climate change and biological Invasions on the spatial redistribution of biodiversity in Cold environmentS(2020), ANR-19-CE32-0005,IMPRINT,IMpacts des PRocessus mIcroclimatiques sur la redistributioN de la biodiversiTé forestière en contexte de réchauffement du macroclimat(2019), European Project: 774124 , H2020,H2020-SFS-2017-2,SUPER-G (2018), European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 641918,H2020,H2020-SC5-2014-two-stage,AfricanBioServices(2015), European Project: 678841,H2020,ERC-2015-STG,NICH(2016), European Project: 871128,eLTER PLUS (2020), European Project: 861974, H2020,SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy,SustainSahel(2020), Lembrechts, Jonas J [0000-0002-1933-0750], van den Hoogen, Johan [0000-0001-6624-8461], Aalto, Juha [0000-0001-6819-4911], De Frenne, Pieter [0000-0002-8613-0943], Kemppinen, Julia [0000-0001-7521-7229], Kopecký, Martin [0000-0002-1018-9316], Luoto, Miska [0000-0001-6203-5143], Maclean, Ilya MD [0000-0001-8030-9136], Crowther, Thomas W [0000-0001-5674-8913], Bailey, Joseph J [0000-0002-9526-7095], Haesen, Stef [0000-0002-4491-4213], Klinges, David H [0000-0002-7900-9379], Niittynen, Pekka [0000-0002-7290-029X], Scheffers, Brett R [0000-0003-2423-3821], Van Meerbeek, Koenraad [0000-0002-9260-3815], Aartsma, Peter [0000-0001-5086-856X], Abdalaze, Otar [0000-0001-8140-0900], Abedi, Mehdi [0000-0002-1499-0119], Aerts, Rien [0000-0001-6694-0669], Ahmadian, Negar [0000-0002-7427-7198], Ahrends, Antje [0000-0002-5083-7760], Alatalo, Juha M [0000-0001-5084-850X], Alexander, Jake M [0000-0003-2226-7913], Allonsius, Camille Nina [0000-0003-2599-9941], Altman, Jan [0000-0003-4879-5773], Ammann, Christof [0000-0002-0783-5444], Andres, Christian [0000-0003-0576-6446], Andrews, Christopher [0000-0003-2428-272X], Ardö, Jonas 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- Subjects
0106 biological sciences ,Zoology and botany: 480 [VDP] ,Q1 ,01 natural sciences ,Global map ,SDG 13 - Climate Action ,Soil temperature ,Zone climatique ,bepress|Physical Sciences and Mathematics|Environmental Sciences ,bioclimatic variables ,global maps ,microclimate ,near-surface temperatures ,soil temperature ,soil-dwelling organisms ,temperature offset ,weather stations ,ComputingMilieux_MISCELLANEOUS ,General Environmental Science ,Global and Planetary Change ,GB ,Geology ,PE&RC ,6. Clean water ,Near-surface soil temperature ,international ,[SDE]Environmental Sciences ,551: Geologie und Hydrologie ,Plantenecologie en Natuurbeheer ,Température du sol ,Near-surface temperature ,Near-surface temperatures ,Biologie ,P40 - Météorologie et climatologie ,bepress|Physical Sciences and Mathematics|Earth Sciences ,MITIGATION ,bepress|Life Sciences|Ecology and Evolutionary Biology ,bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate ,Bioclimatic variables ,Settore BIO/07 - ECOLOGIA ,577: Ökologie ,Biology ,Ecosystem ,Ekologi ,Changement climatique ,Cartographie ,Biology and Life Sciences ,Microclimate ,15. Life on land ,bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring ,Agriculture and Soil Science ,0401 agriculture, forestry, and fisheries ,Temperature offset ,Weather stations ,Plan_S-Compliant-OA ,Soil ,bepress|Life Sciences ,ddc:550 ,Geología ,Ecology ,Temperature ,04 agricultural and veterinary sciences ,Biological Sciences ,FOREST ,Weather station ,Variation saisonnière ,Chemistry ,Bioclimatologie ,bepress|Physical Sciences and Mathematics ,1171 Geosciences ,Technology and Engineering ,Climate Change ,Plant Ecology and Nature Conservation ,MOISTURE ,LITTER DECOMPOSITION ,PERMAFROST ,ddc:570 ,SUITABILITY ,G1 ,bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology ,Global maps ,VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 ,Environmental Chemistry ,Zoologiske og botaniske fag: 480 [VDP] ,Soil-dwelling organisms ,Aquatic Ecology ,P30 - Sciences et aménagement du sol ,Bioclimatic variable ,SNOW-COVER ,bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science ,Earth sciences ,PLANT-RESPONSES ,CLIMATIC CONTROLS ,Soil-dwelling organism ,13. Climate action ,Earth and Environmental Sciences ,VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 ,040103 agronomy & agriculture ,Réchauffement global ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Environmental Sciences ,010606 plant biology & botany - Abstract
JJL received funding from the Research Foundation Flanders (grant nr. 12P1819N). The project received funding from the Research Foundation Flanders (grants nrs, G018919N, W001919N). JVDH and TWC received funding from DOB Ecology. JA received funding from the University of Helsinki, Faculty of Science (MICROCLIM, grant nr. 7510145) and Academy of Finland Flagship (grant no. 337552). PDF, CM and PV received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant FORMICA 757833). JK received funding from the Arctic Interactions at the University of Oulu and Academy of Finland (318930, Profi 4), Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet and Societas pro Fauna et Flora Fennica. MK received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). TWC received funding from National Geographic Society grant no. 9480-14 and WW-240R-17. MA received funding from CISSC (program ICRP (grant nr:2397) and INSF (grant nr: 96005914). The Royal Botanic Garden Edinburgh is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division. JMA received funding from the Funding Org. Qatar Petroleum (grant nr. QUEX-CAS-QP-RD-18/19). JMA received funding from the European Union's Horizon 2020 research and innovation program (grant no. 678841) and from the Swiss National Science Foundation (grant no. 31003A_176044). JA was supported by research grants LTAUSA19137 (program INTER-EXCELLENCE, subprogram INTER-ACTION) provided by Czech Ministry of Education, Youth and Sports and 20-05840Y of the Czech Science Foundation. AA was supported by the Ministry of Science and Higher Education of the Russian Federation (grant FSRZ-2020-0014). SN, UAT, JJA, and JvO received funding from the Independent Research Fund Denmark (7027-00133B). LvdB, KT, MYB and RC acknowledge funding from the German Research Foundation within the Priority Program SPP-1803 'EarthShape: Earth Surface Shaping by Biota' (grant TI 338/14-1&2 and BA 3843/6-1). PB was supported by grant project VEGA of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences No. 2/0132/18. Forest Research received funding from the Forestry Commission (climate change research programme). JCB acknowledges the support of Universidad Javeriana. JLBA received funding from the Direccion General de Cambio Climatico del Gobierno de Aragon; JLBA acknowledges fieldwork assistance by Ana Acin, the Ordesa y Monte Perdido National Park, and the Servicio de Medio Ambiente de Soria de la Junta de Castilla y Leon. RGB and MPB received funding from BECC - Biodiversity and Ecosystem services in a Changing Climate. MPB received funding from The European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 657627 and The Swedish Research Council FORMAS - future research leaders No. 2016-01187. JB received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). NB received funding from the SNF (grant numbers 40FA40_154245, 20FI21_148992, 20FI20_173691, 407340_172433) and from the EU (contract no. 774124). ICOS EU research infrastructure. EU FP7 NitroEurope. EU FP7 ECLAIRE. The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. This is the study 829 of the BDFFP Technical Series. to The EUCFLUX Cooperative Research Program and Forest Science and Research Institute-IPEF. NC acknowledges funding by Stelvio National Park. JC was funded by the Spanish government grant CGL2016-78093-R. ANID-FONDECYT 1181745 AND INSTITUTO ANTARTICO CHILENO (INACH FR-0418). SC received funding from the German Research Foundation (grant no. DFG- FZT 118, 202548816). The National Science Foundation, Poland (grant no. UMO-2017/27/B/ST10/02228), within the framework of the 'Carbon dioxide uptake potential of sphagnum peatlands in the context of atmospheric optical parameters and climate changes' (KUSCO2) project. SLC received funding from the South African National Research Foundation and the Australian Research Council. FM, M, KU and MU received funding from Slovak Research and Development Agency (no. APVV-19-0319). Instituto Antartico Chileno (INACH_RT-48_16), Iniciativa Cientifica Milenio Nucleo Milenio de Salmonidos Invasores INVASAL, Institute of Ecology and Biodiversity (IEB), CONICYT PIA APOYO CCTE AFB170008. PC is supported by NERC core funding to the BAS 'Biodiversity, Evolution and Adaptation Team. EJC received funding from the Norwegian Research Council (grant number 230970). GND was supported by NERC E3 doctoral training partnership grant (NE/L002558/1) at the University of Edinburgh and the Carnegie Trust for the Universities of Scotland. Monitoring stations on Livingston Island, Antarctica, were funded by different research projects of the Gobern of Spain (PERMAPLANET CTM2009-10165-E; ANTARPERMA CTM2011-15565-E; PERMASNOW CTM2014-52021-R), and the PERMATHERMAL arrangement between the University of Alcala and the Spanish Polar Committee. GN received funding from the Autonomous Province of Bolzano (ITA). The infrastructure, part of the UK Environmental Change Network, was funded historically in part by ScotNature and NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). JD was supported by the Czech Science Foundation (GA17-19376S) and MSMT (LTAUSA18007). ED received funding from the Kempe Foundation (JCK-1112 and JCK-1822). The infrastructure was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I), grant number LO1415 and by the project for national infrastructure support CzeCOS/ICOS Reg. No. LM2015061. NE received funding from the German Research Foundation (DFG- FZT 118, 202548816). BE received funding from the GLORIA-EU project no EVK2-CT2000-00056, the Autonomous Province of Bolzano (ITA), from the Tiroler Wissenschaftsfonds and from the University of Innsbruck. RME was supported by funding to the SAFE Project from the Sime Darby Foundation. OF received funding from the German Research Foundation (DFG- FZT 118, 202548816). EFP was supported by the Jardin Botanico Atlantico (SV-20-GIJON-JBA). MF was funded by the German Federal Ministry of Education and Research (BMBF) in the context of The Future Okavango (Grant No. 01LL0912) and SASSCAL (01LG1201M; 01LG1201N) projects. EFL received funding from ANID PIA / BASAL FB210006. RAG received funding from Fondecyt 11170516, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MBG received funding from National Parks (DYNBIO, #1656/2015) and The Spanish Research Agency (VULBIMON, #CGL2017-90040-R). MG received funding from the Swiss National Science Foundation (ICOS-CH Phase 2 20FI20_173691). FG received funding from the German Research Foundation (DFG- FZT 118, 202548816). KG and TS received funding from the UK Biotechnology and Biological Research Council (grant = 206/D16053). SG was supported by the Research Foundation Flanders (FWO) (project G0H1517N). KJ and PH received funding from the EU Horizon2020 INFRAIA project eLTER-PLUS (871128), the project LTER-CWN (FFG, F&E Infrastrukturforderung, project number 858024) and the Austrian Climate Research Program (ACRP7 - CentForCSink - KR14AC7K11960). SH and ARB received funding through iDiv funded by the German Research Foundation (DFG- FZT 118, 202548816). LH received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). MH received funding from the Baden-Wurttemberg Ministry of Science, Research and Arts via the project DRIeR (Drought impacts, processes and resilience: making the in-visible visible). LH received funding from International Polar Year, Weston Foundation, and ArcticNet. DH received funding from Natural Sciences and Engineering Council (Canada) (RGPIN-06691). TTH received funding from Independent Research Fund Denmark (grant no. 8021-00423B) and Villum Foundation (grant no. 17523). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078, VAN2020/01 and CZ.02.1.01/0.0/0.0/16_013/0001708). KH, CG and CJD received funding from Bolin Centre for Climate Research, Stockholm University and from the Swedish research council Formas [grant n:o 2014-00530 to KH]. JJ received funding from the Funding Org. Swedish Forest Society Foundation (grant nr. 2018-485-Steg 2 2017) and Swedish Research Council FORMAS (grant nr. 2018-00792). AJ received funding from the German Federal Ministry of Education and Research BMBF (Grant Nr. FKZ 031B0516C SUSALPS) and the Oberfrankenstiftung (Grant Nr. OFS FP00237). ISJ received funding from the Energy Research Fund (NYR-11 - 2019, NYR-18 - 2020). TJ was supported by a UK NERC Independent Research Fellowship (grant number: NE/S01537X/1). RJ received funding from National Science Centre of Poland (grant number: 2016/21/B/ST10/02271) and Polish National Centre for Research and Development (grant number: Pol-Nor/203258/31/2013). VK received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). AAK received funding from MoEFCC, Govt of India (AICOPTAX project F. No. 22018/12/2015/RE/Tax). NK received funding from FORMAS (grants nr. 2018-01781, 2018-02700, 2019-00836), VR, support from the research infrastructure ICOS-SE. BK received funding from the National Research, Development and Innovation Fund of Hungary (grant nr. K128441). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078 and CZ.02.1.01/0.0/0.0/16_013/0001708). Project B1-RNM-163-UGR-18-Programa Operativo FEDER 2018, partially funded data collection. Norwegian Research Council (NORKLIMA grants #184912 and #244525) awarded to Vigdis Vandvik. MM received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). Project CONICYT-PAI 79170119 and ANID-MPG 190029 awarded to Roy Mackenzie. This work was partly funded by project MIUR PON Cluster OT4CLIMA. RM received funding from the SNF project number 407340_172433. FM received funding from the Stelvio National Park. PM received funding from AIAS-COFUND fellowship programme supported by the Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration (grant agreement no 609033) and the Aarhus University Research Foundation, Denmark. RM received funding from the Ministry of Education, Youth and Sports of the Czech Republic (project LTT17033). SM and VM received funding from EU FP6 NitroEurope (grant nr. 17841), EU FP7 ECLAIRE (grant nr. 282910), the Ministry of Education and Science of Ukraine (projects nr. 505, 550, 574, 602), GEF-UNEP funded "Toward INMS" project (grant nr. NEC05348) and ENI CBC BSB PONTOS (grant nr. BSB 889). The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. FJRM was financially supported by the Netherlands Organization for Scientific Research (VICI grant 016.VICI.170.072) and Research Foundation Flanders (FWO-SBO grant S000619N). STM received funding from New Frontiers in Research Fund-Exploration (grant nr. NFRF-2018-02043) and NSERC Discovery. MMR received funding from the Australian Research Council Discovery Early Career Research Award (grant nr. DE180100570). JAM received funding from the National Science Foundation (DEB 1557094), International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, and Tyson Research Center. IM-S was funded by the UK Natural Environment Research Council through the ShrubTundra Project (NE/M016323/1). MBN received funding from FORMAS, VR, Kempe Foundations support from the research infrastructures ICOS and SITES. MDN received funding from CONICET (grant nr. PIP 112-201501-00609). Spanish Ministry of Science grant PID2019-110521GB-I00 and Catalan government grant 2017-1005. French National Research Agency (ANR) in the frame of the Cluster of Excellence COTE (project HydroBeech, ANR-10-LABX-45). VLIR-OUS, under the Institutional University Coorperation programme (IUC) with Mountains of the Moon University. Project LAS III 77/2017/B entitled: \"Estimation of net carbon dioxide fluxes exchanged between the forest ecosystem on post-agricultural land and between the tornado-damaged forest area and the atmosphere using spectroscopic and numerical methods\", source of funding: General Directorate of State Forests, Warsaw, Poland. Max Planck Society (Germany), RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-45-242908. Estonian Research Council (PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange). Canada-Denmark Arctic Research Station Early Career Scientist Exchange Program, from Polar knowledge Canada (POLAR) and the Danish Agency for Science and Higher Education. AP received funding from Fondecyt 1180205, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MP received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant nr. 2015.0047), and acknowledges funding from the Swedish Research Council (VR) with contributing research institutes to both the SITES and ICOS Sweden infrastructures. JP and RO were funded by the Spanish Ministry of Science grant PID2019-110521GB-I00, the fundacion Ramon Areces grant ELEMENTAL-CLIMATE, and the Catalan government grant 2017-1005. MPB received funding from the Svalbard Environmental Protection Fund (grant project number 15/128) and the Research Council of Norway (Arctic Field Grant, project number 269957). RP received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant INTER-TRANSFER nr. LTT20017). LTSER Zone Atelier Alpes; Federation FREE-Alpes. RP received funding from a Humboldt Fellowship for Experienced Researchers. Prokushkin AS and Zyryanov VI contribution has been supported by the RFBR grant #18-05-60203-Arktika. RPu received founding from the Polish National Science Centre (grant project number 2017/27/B/NZ8/00316). ODYSSEE project (ANR-13-ISV7-0004, PN-II-ID-JRP-RO-FR-2012). KR was supported through an Australian Government Research Training Program Scholarship. Fieldwork was supported by the Global Challenges program at the University of Wollongong, the ARC the Australian Antarctic Division and INACH. DR was funded by the project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' (ANR-20-EBI5-0004). SAR received funding from the Australian Research Council. NSF grant #1556772 to the University of Notre Dame. Pavia University (Italy). OR received funding from EU-LEAP-Agri (RAMSES II), EU-DESIRA (CASSECS), EU-H2020 (SustainSahel), AGROPOLIS and TOTAL Foundations (DSCATT), CGIAR (GLDC). AR was supported by the Russian Science Foundation (Grant 18-74-10048). Parc national des Ecrins. JS received funding from Vetenskapsradet grant nr (No: 2014-04270), ALTER-net multi-site grant, River LIFE project (LIFE08 NAT/S/000266), Flexpeil. Helmholtz Association long-term research program TERENO (Terrestrial Environmental Observatories). PS received funding from the Polish Ministry of Science and Higher Education (grant nr. N N305 304840). AS acknowledges funding by ETH Zurich project FEVER ETH-27 19-1. LSC received funding from NSERC Canada Graduate Scholarship (Doctoral) Program; LSC was also supported by ArcticNet-NCE (insert grant #). Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (141513/2017-9); FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (E26/200.84/2019). ZS received funding from the SRDA (grants nos. APVV-16-0325 and APVV-20-0365) and from the ERDF (grant no. ITMS 313011S735, CE LignoSilva). JS, MB and CA received funding from core budget of ETH Zurich. State excellence Program M-V \"WETSCAPES\". AfricanBioServices project funded by the EU Horizon 2020 grant number 641918. The authors from KIT/IMK-IFU acknowledge the funding received within the German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association and from the Bavarian Ministry of the Environment and Public Health (UGV06080204000). Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 192626868, in the framework of the collaborative German-Indonesian research project CRC 990 (SFB): 'EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)'. MS received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant nr. INTER-TRANSFER LTT19018). TT received funding from the Swedish National Space Board (SNSB Dnr 95/16) and the CASSECS project supported by the European Union. HJDT received funding from the UK Natural Environment Research Council (NERC doctoral training partnership grant NE/L002558/1). German Science Foundation (DFG) GraKo 2010 \"Response\". PDT received funding from the MEMOIRE project (PN-III-P1-1.1-PD2016-0925). Arctic Challenge for Sustainability II (ArCS II; JPMXD1420318865). JU received funding from Czech Science Foundation (grant nr. 21-11487S). TU received funding from the Romanian Ministry of Education and Research (CCCDI - UEFISCDI -project PN-III-P2-2.1-PED-2019-4924 and PN2019-2022/19270201-Ctr. 25N BIODIVERS 3-BIOSERV). AV acknowledge funding from RSF, project 21-14-00209. GFV received funding from the Dutch Research Council NWO (Veni grant, no. 863.14.013). Australian Research Council Discovery Early Career Research Award DE140101611. FGAV received funding from the Portuguese Science Foundation (FCT) under CEECIND/02509/2018, CESAM (UIDP/50017/2020+UIDB/50017/2020), FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Ordesa y Monte Perdido National Park. MVI received funding from the Spanish Ministry of Science and Innovation through a doctoral grant (FPU17/05869). JW received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). CR and SW received funding from the Swiss Federal Office for the Environment (FOEN) and the de Giacomi foundation. YY received funding from the National Natural Science Foundation of China (Grant no. 41861134039 and 41941015). ZY received funding from the National Natural Science Foundation of China (grant nr. 41877458). FZ received funding from the Swiss National Science Foundation (grant nr. 172198 and 193645). PZ received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant no. 2015.0047). JL received funding from (i) the Agence Nationale de la Recherche (ANR), under the framework of the young investigators (JCJC) funding instrument (ANR JCJC Grant project NoANR-19-CE32-0005-01: IMPRINT) (ii) the Centre National de la Recherche Scientifique (CNRS) (Defi INFINITI 2018: MORFO); and the Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE). Fieldwork in the Arctic got facilitated by funding from the EU INTERACT program. SN, UAT, JJA and JvO would like to thank the field team of the Vegetation Dynamics group for their efforts and hard work. We acknowledge Dominique Tristan for letting access to the field. For the logistic support the crew of INACH and Gabriel de Castilla Station team on Deception Island. We thank the Inuvialuit and Kluane First Nations for the opportunity to work on their land. MAdP acknowledges fieldwork assistance and logistics support to Unidad de Tecnologia Marina CSIC, and the crew of Juan Carlos I and Gabriel de Castilla Spanish Antarctic Stations, as well as to the different colleagues from UAH that helped on the instrument maintenance. ERF acknowledges fieldwork assistance by Martin Heggli. MBG acknowledges fieldwork and technical assistance by P Abadia, C Benede, P Bravo, J Gomez, M Grasa, R Jimenez, H Miranda, B Ponz, J Revilla and P Tejero and the Ordesa and Monte Perdido National Park staff. LH acknowledges field assistance by John Jacobs, Andrew Trant, Robert Way, Darroch Whitaker; we acknowledge the Inuit of Nunatsiavut, and the Co-management Board of Torngat Mountains National Park for their support of this project and acknowledge that the field research was conducted on their traditional lands. We thank our many bear guides, especially Boonie, Eli, Herman, John and Maria Merkuratsuk. AAK acknowledges field support of Akhtar Malik, Rameez Ahmad. Part of microclimatic records from Saxony was funded by the Saxon Switzerland National Park Administration. Tyson Research Center. JP acknowledges field support of Emmanuel Malet (Edytem) and Rangers of Reserves Naturelles de Haute-Savoie (ASTERS). Practical help: Roel H. Janssen, N. Huig, E. Bakker, Schools in the tepaseforsoket, Forskar fredag, Erik Herberg. The support by the Bavarian Forest National Park administration is highly appreciated. LvdB acknowledges CONAF and onsite support from the park rangers from PN Pan de Azucar, PN La Campana, PN Nahuelbuta and from communidad agricola Quebrada de Talca. JL and FS acknowledge Manuel Nicolas and all forest officers from the Office National des Forets (ONF) who are in charge of the RENECOFOR network and who provided help and local support for the installation and maintenance of temperature loggers in the field., Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., FWO G018919N W001919N 12P1819N, DOB Ecology, University of Helsinki, Faculty of Science (MICROCLIM) 7510145, European Research Council (ERC) FORMICA 757833, Arctic Interactions at the University of Oulu, Academy of Finland 318930 337552, Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet, Societas pro Fauna et Flora Fennica, Grant Agency of the Czech Republic 20-28119S 20-05840Y GA17-19376S 21-11487S, Czech Academy of Sciences RVO 67985939, National Geographic Society 9480-14 WW-240R-17, CISSC (program ICRP) 2397, Iran National Science Foundation (INSF) 96005914, Scottish Government's Rural and Environment Science and Analytical Services Division, Qatar Petroleum QUEX-CAS-QP-RD-18/19, European Union's Horizon 2020 research and innovation program 678841, Swiss National Science Foundation (SNSF), European Commission 172198 193645 31003A_176044, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137, Ministry of Science and Higher Education of the Russian Federation FSRZ-2020-0014, Independent Research Fund Denmark 8021-00423B 7027-00133B, German Research Foundation (DFG) DFG- FZT 118 202548816 TI 338/14-1 TI 338/14-2 BA 3843/6-1, grant project VEGA of the Ministry of Education of the Slovak Republic Slovak Academy of Sciences 2/0132/18, Forestry Commission, Universidad Javeriana, Direccion General de Cambio Climatico del Gobierno de Aragon, European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant 657627 SNF 407340_172433 40FA40_154245 20FI21_148992 20FI20_173691, European Commission 17841 774124, MCTI/CNPq/FNDCT 68/2013, Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal', Spanish Government, European Commission CGL2016-78093-R, ANID-FONDECYT 1181745, National Science Foundation, Poland UMO-2017/27/B/ST10/02228, National Research Foundation - South Africa, Australian Research Council, Slovak Research and Development Agency APVV-19-0319, Instituto Antartico Chileno INACH_RT-48_16 INACH FR-0418, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) PIA APOYO CCTE AFB170008 PIA AFB170008, UK Research & Innovation (UKRI), Natural Environment Research Council (NERC), Research Council of Norway, European Commission 230970, NERC E3 doctoral training partnership grant at the University of Edinburgh NE/L002558/1, Carnegie Trust for the Universities of Scotland, Gobern of Spain PERMAPLANET CTM2009-10165-E ANTARPERMA CTM2011-15565-E PERMASNOW CTM2014-52021-R, University of Alcala, Spanish Polar Committee, Autonomous Province of Bolzano (ITA), ScotNature, NERC National Capability LTS-S: UK-SCAPE NE/R016429/1, Ministry of Education, Youth & Sports - Czech Republic LTAUSA18007, Kempe Foundation JCK-1112 JCK-1822, Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I) LO1415, project for national infrastructure support CzeCOS/ICOS LM2015061 GLORIA-EU EVK2-CT2000-00056, Tiroler Wissenschaftsfonds, University of Innsbruck, Sime Darby Foundation, Jardin Botanico Atlantico SV-20-GIJON-JBA, Federal Ministry of Education & Research (BMBF) 01LL0912 01LG1201M 01LG1201N, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 11170516 1180205, ANID PIA / BASAL FB210006, National Parks (DYNBIO) 1656/2015, Spanish Research Agency (VULBIMON) CGL2017-90040-R, Swiss National Science Foundation (SNSF) 20FI20_173691, Biotechnology and Biological Sciences Research Council (BBSRC) 206/D16053 FWO G0H1517N, EU Horizon2020 INFRAIA project eLTER-PLUS 871128, project LTER-CWN (FFG, F&E Infrastrukturforderung) 858024, Austrian Climate Research Program ACRP7 - CentForCSink - KR14AC7K11960, iDiv by the German Research Foundation DFG- FZT 118 202548816, Baden-Wurttemberg Ministry of Science, Research and Arts, Weston Foundation, ArcticNet, Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-06691, Villum Foundation 17523, Ministry of Education, Youth & Sports - Czech Republic LM2015078 VAN2020/01 CZ.02.1.01/0.0/0.0/16_013/0001708 LTT17033 LTT20017 INTER-TRANSFER LTT19018, Bolin Centre for Climate Research, Stockholm University, Swedish Research Council Swedish Research Council Formas 2014-00530 2018-00792 2016-01187, Swedish Forest Society Foundation 2018-485-Steg 2 2017, Federal Ministry of Education & Research (BMBF) FKZ 031B0516C SUSALPS, Oberfrankenstiftung OFS FP00237, Energy Research Fund NYR-11 - 2019 NYR-18 - 2020, UK NERC Independent Research Fellowship NE/S01537X/1, National Science Centre, Poland 2016/21/B/ST10/02271, Polish National Centre for Research and Development Pol-Nor/203258/31/2013, MoEFCC, Govt of India (AICOPTAX project) 22018/12/2015/RE/Tax, Swedish Research Council Formas 2018-01781 2018-02700 2019-00836, research infrastructure ICOS-SE, National Research, Development and Innovation Fund of Hungary K128441, Programa Operativo FEDER 2018 B1-RNM-163-UGR-18, Norwegian Research Council (NORKLIMA grants) 184912 244525, CONICYT-PAI 79170119, ANID-MPG 190029, project MIUR PON Cluster OT4CLIMA, Stelvio National Park, AIAS-COFUND fellowship programme - Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration 609033, Aarhus University Research Foundation, Denmark, EU FP6 NitroEurope 17841, EU FP7 ECLAIRE 282910, Ministry of Education and Science of Ukraine 505 550 574 602, GEF-UNEP NEC05348, ENI CBC BSB PONTOS BSB 889, Netherlands Organization for Scientific Research (NWO) 016.VICI.170.072, New Frontiers in Research Fund-Exploration NFRF-2018-02043, Natural Sciences and Engineering Research Council of Canada (NSERC), Australian Research Council DE180100570, National Science Foundation (NSF) DEB 1557094, International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, Smithsonian Institution Smithsonian Tropical Research Institute, Tyson Research Center, UK Natural Environment Research Council through the ShrubTundra Project NE/M016323/1, Swedish Research Council Formas Swedish Research Council, Kempe Foundations - research infrastructure ICOS Kempe Foundations - research infrastructure SITES, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) PIP 112-201501-00609, Spanish Government PID2019-110521GB-I00, Catalan government 2017-1005, French National Research Agency (ANR) ANR-10-LABX-45, General Directorate of State Forests, Warsaw, Poland, Max Planck Society, Russian Foundation for Basic Research (RFBR), Krasnoyarsk Territory Krasnoyarsk Regional Fund of Science 20-45-242908, Estonian Research Council PRG609, Knut & Alice Wallenberg Foundation 2015.0047, Swedish Research Council, fundacion Ramon Areces grant ELEMENTAL-CLIMATE, Svalbard Environmental Protection Fund 15/128, Research Council of Norway 269957, Humboldt Fellowship for Experienced Researchers, Russian Foundation for Basic Research (RFBR) 18-05-60203-Arktika, Polish National Science Centre 2017/27/B/NZ8/00316, ODYSSEE project (PN-II-ID-JRP-RO-FR-2012) ANR-13-ISV7-0004, Australian Government, Department of Industry, Innovation and Science, Global Challenges program at the University of Wollongong, ARC the Australian Antarctic Division, INACH, project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' ANR-20-EBI5-0004, National Science Foundation (NSF) 1556772, EU-LEAP-Agri (RAMSES II) EU-DESIRA (CASSECS) EU-H2020 (SustainSahel), AGROPOLIS, Total SA, CGIAR, Russian Science Foundation (RSF) 18-74-10048, Swedish Research Council 2014-04270, ALTER-net multi-site grant, River LIFE project LIFE08 NAT/S/000266, Flexpeil, Ministry of Science and Higher Education, Poland N N305 304840, ETH Zurich FEVER ETH-27 19-1, NSERC Canada Graduate Scholarship (Doctoral) Program, ArcticNet-NCE, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) 141513/2017-9, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) E26/200.84/2019, SRDA APVV-16-0325 APVV-20-0365, ERDF (CE LignoSilva) ITMS 313011S735, ETH Zurich, EU Horizon 2020 641918, German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association, Bavarian Ministry of the Environment and Public Health UGV06080204000 German Research Foundation (DFG) 192626868, Swedish National Space Board (SNSB) 95/16, CASSECS project by the European Union, Natural Environment Research Council (NERC) NE/L002558/1, MEMOIRE project PN-III-P1-1.1-PD2016-0925, Arctic Challenge for Sustainability II (ArCS II) JPMXD1420318865, Consiliul National al Cercetarii Stiintifice (CNCS), Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (UEFISCDI) PN-III-P2-2.1-PED-2019-4924 PN2019-2022/19270201, 25N BIODIVERS 3-BIOSERV, Russian Science Foundation (RSF) 21-14-00209., Netherlands Organization for Scientific Research (NWO) 863.14.013, Australian Research Council DE140101611, Portuguese Foundation for Science and Technology CEECIND/02509/2018 CESAM UIDP/50017/2020+UIDB/50017/2020, Portuguese Foundation for Science and Technology European Commission, FEDER, within the PT2020 Partnership Agreement, Compete 2020, Spanish Government FPU17/05869, Swiss Federal Office for the Environment (FOEN), Giacomi foundation, National Natural Science Foundation of China (NSFC) 41861134039 41941015 41877458, French National Research Agency (ANR) ANR-19-CE32-0005-01 Centre National de la Recherche Scientifique (CNRS), Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE), EU INTERACT program, Inuit of Nunatsiavut, Co-management Board of Torngat Mountains National Park, Saxon Switzerland National Park Administration, Bavarian Forest National Park administration, BECC - Biodiversity and Ecosystem services in a Changing Climate, Research Foundation Flanders (FWO-SBO) S000619N
- Published
- 2021
24. ForestClim—Bioclimatic variables for microclimate temperatures of European forests.
- Author
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Haesen, Stef, Lembrechts, Jonas J., De Frenne, Pieter, Lenoir, Jonathan, Aalto, Juha, Ashcroft, Michael B., Kopecký, Martin, Luoto, Miska, Maclean, Ilya, Nijs, Ivan, Niittynen, Pekka, van den Hoogen, Johan, Arriga, Nicola, Brůna, Josef, Buchmann, Nina, Čiliak, Marek, Collalti, Alessio, De Lombaerde, Emiel, Descombes, Patrice, and Gharun, Mana
- Subjects
ECOLOGICAL models ,TEMPERATURE ,REGRESSION 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 m2 resolution. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
25. Global maps of soil temperature
- Author
-
J. Lembrechts, Jonas, van den Hoogen, Johan, Nijs, Ivan, and Lenoir, Jonathan
- Subjects
soil - Abstract
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2m 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-km2resolution for 0–5 and 5–15cm 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-km2pixels (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.
- Published
- 2022
26. Global maps of soil temperature
- Author
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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
27. Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements
- Author
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Hengl, Tomislav, Routh, Devin, and van den Hoogen, Johan
- Abstract
Advances in geospatial and Machine Learning techniques for large datasets of georeferenced observations have made it possible to produce model-based global maps of ecological and environmental variables. However, the implementation of existing scientific methods (especially Machine Learning models) to produce accurate global maps is often complex. Tomislav Hengl (co-founder of OpenGeoHub foundation), Johan van den Hoogen (researcher at ETH Zurich), and Devin Routh (Science IT Consultant at the University of Zurich) shared with Nature Communications their perspectives for creators and users of these maps, focusing on the key challenges in producing global environmental geospatial datasets to achieve significant impacts., Nature Communications, 13 (1), ISSN:2041-1723
- Published
- 2022
28. Using ecological networks to answer questions in global biogeography and ecology.
- Author
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Windsor, Fredric M., van den Hoogen, Johan, Crowther, Thomas W., and Evans, Darren M.
- Subjects
- *
DATA libraries , *RESTORATION ecology , *BIOGEOGRAPHY , *SPECIES distribution , *CONSERVATION & restoration - Abstract
Ecological networks have classically been studied at site and landscape scales, yet recent efforts have been made to collate these data into global repositories. This offers an opportunity to integrate and upscale knowledge about ecological interactions from local to global scales to gain enhanced insights from the mechanistic information provided by these data. By drawing on existing research investigating patterns in ecological interactions at continental to global scales, we show how data on ecological networks, collected at appropriate scales, can be used to generate an improved understanding of many aspects of ecology and biogeography—for example, species distribution modelling, restoration ecology and conservation. We argue that by understanding the patterns in the structure and function of ecological networks across scales, it is possible to enhance our understanding of the natural world. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
29. haozhima95/Global_mapping_root_shoot_ratio: Global controls of above- versus belowground carbon
- Author
-
Ma, Haozhi, Mo, Lidong, Crowther, Thomas, Maynard, Daniel, van den Hoogen, Johan, Benjamin Stocker, Terrer, Cesar, and Zohner, Constantin
- Abstract
Codes and data for global mapping of root-shoot ratios
- Published
- 2021
- Full Text
- View/download PDF
30. ForestTemp – Sub-canopy microclimate temperatures of European forests
- Author
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Haesen, Stef, Lembrechts, Jonas J., De Frenne, Pieter, Lenoir, Jonathan, Aalto, Juha, Ashcroft, Michael B., Kopecky, Martin, Luoto, Miska, Maclean, Ilya, Nijs, Ivan, Niittynen, Pekka, van den Hoogen, Johan, Arriga, Nicola, Bruna, Josef, Buchmann, Nina, Čiliak, Marek, Collalti, Alessio, De Lombaerde, Emiel, Descombes, Patrice, Gharun, Mana, and Shekhar, Ankit
- Subjects
SoilTemp ,climate change ,forest microclimate ,Species Distributions ,boosted regression trees ,biodiversity ,ecosystem processes ,thermal buffering - 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 degrees C (standard deviation +/- 1.6 degrees C) lower in summer and 2.0 degrees C higher (+/- 0.7 degrees 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., Global Change Biology, 27 (23), ISSN:1354-1013, ISSN:1365-2486
- Published
- 2021
- Full Text
- View/download PDF
31. Global maps of soil temperature
- Author
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Lembrechts, Jonas J., van den Hoogen, Johan, Grelle, Achim, Järveoja, Järvi, Nilsson, Mats, Peichl, Matthias, Stephan, Jörg, Nijs, Ivan, and Lenoir, Jonathan
- Subjects
Soil Science - Abstract
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
- Published
- 2021
32. Global maps of soil temperature
- Author
-
Lembrechts, Jonas, 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., Allonsius, Camille, Géron, Charly, Meysman, Filip, Van de Vondel, Stijn, and Nijs, Ivan
- Subjects
Biology - 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 thus fail to reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions are controlled 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 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 of 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 2 m 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 warmer than gridded air temperature), whereas soils in warm and humid environments are on average slightly cooler (0.7 ± 2.3°C cooler). The observed substantial and biome-specific offsets underpin that the projected impacts of climate and climate change on biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. 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 global 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
- 2021
33. The biogeography of relative abundance of soil fungi versus bacteria in surface topsoil.
- Author
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Yu, Kailiang, van den Hoogen, Johan, Wang, Zhiqiang, Averill, Colin, Routh, Devin, Smith, Gabriel Reuben, Drenovsky, Rebecca E., Scow, Kate M., Mo, Fei, Waldrop, Mark P., Yang, Yuanhe, Tang, Weize, De Vries, Franciska T., Bardgett, Richard D., Manning, Peter, Bastida, Felipe, Baer, Sara G., Bach, Elizabeth M., García, Carlos, and Wang, Qingkui
- Subjects
- *
SOIL fungi , *SOIL air , *SOIL ecology , *BIOGEOGRAPHY , *FUNCTIONAL groups , *TOPSOIL - Abstract
Fungi and bacteria are the two dominant groups of soil microbial communities worldwide. By controlling the turnover of soil organic matter, these organisms directly regulate the cycling of carbon between the soil and the atmosphere. Fundamental differences in the physiology and life history of bacteria and fungi suggest that variation in the biogeography of relative abundance of soil fungi versus bacteria could drive striking differences in carbon decomposition and soil organic matter formation between different biomes. However, a lack of global and predictive information on the distribution of these organisms in terrestrial ecosystems has prevented the inclusion of relative abundance of soil fungi versus bacteria and the associated processes in global biogeochemical models. Here, we used a global-scale dataset of >3000 distinct observations of abundance of soil fungi versus bacteria in the surface topsoil (up to 15 cm) to generate the first quantitative and high-spatial-resolution (1 km 2) explicit map of soil fungal proportion, defined as fungi/fungi + bacteria, across terrestrial ecosystems. We reveal striking latitudinal trends where fungal dominance increases in cold and high-latitude environments with large soil carbon stocks. There was a strong nonlinear response of fungal dominance to the environmental gradient, i.e., mean annual temperature (MAT) and net primary productivity (NPP). Fungi dominated in regions with low MAT and NPP and bacteria dominated in regions with high MAT and NPP, thus representing slow vs. fast soil energy channels, respectively, a concept with a long history in soil ecology. These high-resolution models provide the first steps towards representing the major soil microbial groups and their functional differences in global biogeochemical models to improve predictions of soil organic matter turnover under current and future climate scenarios. Raw datasets and global maps generated in this study are available at 10.6084/m9.figshare.19556419 (Yu, 2022). [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
34. 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, Scheffers, Brett R., Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, and Aerts, Rien
- Subjects
- *
SOIL temperature , *SOIL temperature measurement , *SOIL mapping , *ATMOSPHERIC temperature , *SOIL depth - Abstract
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
35. The Genome of Peronospora belbahrii Reveals High Heterozygosity, a Low Number of Canonical Effectors, and TC-Rich Promoters
- Author
-
Thines, Marco, Sharma, Rahul, Rodenburg, Sander Y A, Gogleva, Anna, Judelson, Howard S, Xia, Xiaojuan, van den Hoogen, Johan, Kitner, Miloslav, Klein, Joël, Neilen, Manon, de Ridder, Dick, Seidl, Michael F, van den Ackerveken, Guido, Govers, Francine, Schornack, Sebastian, Studholme, David J, Plant Microbe Interactions, Sub Plant-Microbe Interactions, Plant Microbe Interactions, and Sub Plant-Microbe Interactions
- Subjects
COMPARATIVE GENOMICS ,Mitochondrial DNA ,Nuclear gene ,Bioinformatics ,Physiology ,EVOLUTIONARY BIOLOGY ,Population ,METABOLIC PATHWAYS ,Genome ,OOMYCETES ,Bioinformatica ,DOWNY MILDEW ,education ,Gene ,Genetics ,Comparative genomics ,education.field_of_study ,biology ,Obligate ,General Medicine ,biology.organism_classification ,Laboratorium voor Phytopathologie ,Laboratory of Phytopathology ,Peronospora ,EPS ,Agronomy and Crop Science - Abstract
Along with Plasmopara destructor, Peronosopora belbahrii has arguably been the economically most important newly emerging downy mildew pathogen of the past two decades. Originating from Africa, it has started devastating basil production throughout the world, most likely due to the distribution of infested seed material. Here, we present the genome of this pathogen and results from comparisons of its genomic features to other oomycetes. The assembly of the nuclear genome was around 35.4 Mbp in length, with an N50 scaffold length of around 248 kbp and an L50 scaffold count of 46. The circular mitochondrial genome consisted of around 40.1 kbp. From the repeat-masked genome, 9,049 protein-coding genes were predicted, out of which 335 were predicted to have extracellular functions, representing the smallest secretome so far found in peronosporalean oomycetes. About 16% of the genome consists of repetitive sequences, and, based on simple sequence repeat regions, we provide a set of microsatellites that could be used for population genetic studies of P. belbahrii. P. belbahrii has undergone a high degree of convergent evolution with other obligate parasitic pathogen groups, reflecting its obligate biotrophic lifestyle. Features of its secretome, signaling networks, and promoters are presented, and some patterns are hypothesized to reflect the high degree of host specificity in Peronospora species. In addition, we suggest the presence of additional virulence factors apart from classical effector classes that are promising candidates for future functional studies.
- Published
- 2020
36. State of knowledge of soil biodiversity: Status, challenges and potentialities
- Author
-
Scow, Kate, Bardgett, Richard D., Pennock, Dan, Vargas Rojas, Ronald, Singh, Brajesh K., Eisenhauer, Nico, Clément Duckert, van den Hoogen, Johan, and van der Heijden, Marcel
- Abstract
ISBN:978-92-5-133582-6
- Published
- 2020
- Full Text
- View/download PDF
37. Priming effects in soils across Europe.
- Author
-
Siles, José A., Díaz‐López, Marta, Vera, Alfonso, Eisenhauer, Nico, Guerra, Carlos A., Smith, Linnea C., Buscot, François, Reitz, Thomas, Breitkreuz, Claudia, van den Hoogen, Johan, Crowther, Thomas W., Orgiazzi, Alberto, Kuzyakov, Yakov, Delgado‐Baquerizo, Manuel, and Bastida, Felipe
- Subjects
SOILS ,CROPS ,SOIL respiration ,GRASSLAND soils ,LAND use ,CARBON emissions - Abstract
Land use is a key factor driving changes in soil carbon (C) cycle and contents worldwide. The priming effect (PE)—CO2 emissions from changed soil organic matter decomposition in response to fresh C inputs—is one of the most unpredictable phenomena associated with C cycling and related nutrient mobilization. Yet, we know very little about the influence of land use on soil PE across contrasting environments. Here, we conducted a continental‐scale study to (i) determine the PE induced by 13C‐glucose additions to 126 cropland and seminatural (forests and grasslands) soils from 22 European countries; (ii) compare PE magnitude in soils under various crop types (i.e., cereals, nonpermanent industrial crops, and orchards); and (iii) model the environmental factors influencing PE. On average, PEs were negative in seminatural (with values ranging between −60 and 26 µg C g−1 soil after 35 days of incubation; median = −11) and cropland (from −55 to 27 µC g−1 soil; median = −4.3) soils, meaning that microbial communities preferentially switched from soil organic C decomposition to glucose mineralization. PE was significantly less negative in croplands compared with seminatural ecosystems and not influenced by the crop type. PE was driven by soil basal respiration (reflecting microbial activity), microbial biomass C, and soil organic C, which were all higher in seminatural ecosystems compared with croplands. This cross European experimental and modeling study elucidated that PE intensity is dependent on land use and allowed to clarify the factors regulating this important C cycling process. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
38. Understanding climate change from a global analysis of city analogues
- Author
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Bastin, Jean-Francois, Clark, Emily, Elliott, Thomas, Hart, Simon, van den Hoogen, Johan, Hordijk, Iris, Ma, Haozhi, Majumder, Sabiha, Manoli, Gabriele, Maschler, Julia, Mo, Lidong, Routh, Devin, Yu, Kailiang, Zohner, Constantin M., and Crowther, Thomas W.
- Subjects
Cartography ,Atmospheric Science ,Climate Change ,Science ,Research and Analysis Methods ,Geographical locations ,Mathematical and Statistical Techniques ,Statistical Methods ,Geographic Areas ,Northern Hemisphere ,Climatology ,Principal Component Analysis ,Latitude ,Geography ,Statistics ,Europe ,Earth sciences ,Multivariate Analysis ,Physical Sciences ,People and Places ,North America ,Medicine ,Southern Hemisphere ,Mathematics ,Research Article ,Urban Areas - Abstract
Combating climate change requires unified action across all sectors of society. However, this collective action is precluded by the ‘consensus gap’ between scientific knowledge and public opinion. Here, we test the extent to which the iconic cities around the world are likely to shift in response to climate change. By analyzing city pairs for 520 major cities of the world, we test if their climate in 2050 will resemble more closely to their own current climate conditions or to the current conditions of other cities in different bioclimatic regions. Even under an optimistic climate scenario (RCP 4.5), we found that 77% of future cities are very likely to experience a climate that is closer to that of another existing city than to its own current climate. In addition, 22% of cities will experience climate conditions that are not currently experienced by any existing major cities. As a general trend, we found that all the cities tend to shift towards the sub-tropics, with cities from the Northern hemisphere shifting to warmer conditions, on average ~1000 km south (velocity ~20 km.year-1), and cities from the tropics shifting to drier conditions. We notably predict that Madrid’s climate in 2050 will resemble Marrakech’s climate today, Stockholm will resemble Budapest, London to Barcelona, Moscow to Sofia, Seattle to San Francisco, Tokyo to Changsha. Our approach illustrates how complex climate data can be packaged to provide tangible information. The global assessment of city analogues can facilitate the understanding of climate change at a global level but also help land managers and city planners to visualize the climate futures of their respective cities, which can facilitate effective decision-making in response to on-going climate change., PLoS ONE, 14 (7), ISSN:1932-6203
- Published
- 2019
39. Attempts to implement CRISPR/Cas9 for genome editing in the oomycete Phytophthora infestans
- Author
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van den Hoogen, Johan and Govers, Francine
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fungi ,food and beverages - Abstract
Few techniques have revolutionized the molecular biology field as much as genome editing using CRISPR/Cas9. Recently, a CRISPR/Cas9 system has been developed for Phytophthora sojae, and since then it has been employed in two other Phytophthora spp. Here, we report our progress on efforts to establish the system in Phytophthora infestans. Using the original constructs as developed for P. sojae, we did not obtain any transformants displaying a mutagenized target gene. We made several modifications to the CRISPR/Cas9 system to pinpoint the reason for failure and also explored the delivery of pre-assembled ribonucleoprotein complexes. This report summarizes an extensive experimental effort pursuing the application of a CRISPR/Cas9 system for targeted mutagenesis in P. infestans and concludes with suggestions for future directions., bioRxiv
- Published
- 2018
- Full Text
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40. Global distribution of earthworm diversity.
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Phillips, Helen R. P., Guerra, Carlos A., Bartz, Marie L. C., Briones, Maria J. I., Brown, George, Crowther, Thomas W., Ferlian, Olga, Gongalsky, Konstantin B., van den Hoogen, Johan, Krebs, Julia, Orgiazzi, Alberto, Routh, Devin, Schwarz, Benjamin, Bach, Elizabeth M., Bennett, Joanne, Brose, Ulrich, Decaëns, Thibaud, König-Ries, Birgitta, Loreau, Michel, and Mathieu, Jérôme
- Published
- 2019
- Full Text
- View/download PDF
41. Tracking, targeting, and conserving soil biodiversity.
- Author
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Guerra, Carlos A., Bardgett, Richard D., Caon, Lucrezia, Crowther, Thomas W., Delgado-Baquerizo, Manuel, Montanarella, Luca, Navarro, Laetitia M., Orgiazzi, Alberto, Singh, Brajesh K., Tedersoo, Leho, Vargas-Rojas, Ronald, Briones, Maria J. I., Buscot, François, Cameron, Erin K., Cesarz, Simone, Chatzinotas, Antonis, Cowan, Don A., Djukic, Ika, van den Hoogen, Johan, and Lehmann, Anika
- Published
- 2021
- Full Text
- View/download PDF
42. GPCR-bigrams: Enigmatic signaling components in oomycetes.
- Author
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van den Hoogen, Johan and Govers, Francine
- Subjects
- *
CELLULAR signal transduction , *G protein coupled receptors , *OOMYCETES , *PHYTOPATHOGENIC microorganisms , *PHYTOPHTHORA infestans - Abstract
The article offers information about class of signaling components, the so-called G-protein coupled receptor (GPCR)-bigrams in eukaryotic microorganisms oomycetes. Topics discussed include ways in which plant pathogenic oomycetes like Phytophthora infestans causes enormous yield losses in crop plants; animal pathogenic oomycetes; and process of cellular signaling in oomycetes.
- Published
- 2018
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- View/download PDF
43. The G-protein γ subunit of Phytophthora infestans is involved in sporangial development.
- Author
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van den Hoogen, Johan, Verbeek-de Kruif, Natalie, and Govers, Francine
- Subjects
- *
PHYTOPHTHORA infestans , *G proteins , *SPORANGIUM , *FUNGAL spores , *FUNGAL development - Abstract
The oomycete Phytophthora infestans is a notorious plant pathogen with potato and tomato as its primary hosts. Previous research showed that the heterotrimeric G-protein subunits Gα and Gβ have a role in zoospore motility and virulence, and sporangial development, respectively. Here, we present analyses of the gene encoding a Gγ subunit in P. infestans , Pigpg1 . The overall similarity of PiGPG1 with non-oomycete Gγ subunits is low, with only the most conserved amino acids maintained, but similarity with its homologs in other oomycetes is high. Pigpg1 is expressed in all life stages and shows a similar expression profile as the gene encoding the Gβ subunit, Pigpb1 . To elucidate its function, transformants were generated in which Pigpg1 is silenced or overexpressed and their phenotypes were analyzed. Pigpg1 -silenced lines produce less sporangia, which are malformed. Altogether, the results show that PiGPG1 is crucial for proper sporangia development and zoosporogenesis. PiGPG1 is a functional Gγ, and likely forms a dimer with PiGPB1 that mediates signaling. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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- View/download PDF
44. Correction: Understanding climate change from a global analysis of city analogues.
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Bastin, Jean-Francois, Clark, Emily, Elliott, Thomas, Hart, Simon, van den Hoogen, Johan, Hordijk, Iris, Ma, Haozhi, Majumder, Sabiha, Manoli, Gabriele, Maschler, Julia, Mo, Lidong, Routh, Devin, Yu, Kailiang, Zohner, Constantin M., and Crowther, Thomas W.
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CLIMATE change ,GLOBAL analysis (Mathematics) ,CITIES & towns ,GLOBALIZATION - Published
- 2019
- Full Text
- View/download PDF
45. A global database of soil nematode abundance and functional group composition
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van den Hoogen, Johan, Routh, Devin, Crowther, Thomas W., Pellissier, Loïc, and Pitteloud, Camille
- Subjects
13. Climate action ,15. Life on land - Abstract
As the most abundant animals on earth, nematodes are a dominant component of the soil community. They play critical roles in regulating biogeochemical cycles and vegetation dynamics within and across landscapes and are an indicator of soil biological activity. Here, we present a comprehensive global dataset of soil nematode abundance and functional group composition. This dataset includes 6,825 georeferenced soil samples from all continents and biomes. For geospatial mapping purposes these samples are aggregated into 1,933 unique 1-km pixels, each of which is linked to 73 global environmental covariate data layers. Altogether, this dataset can help to gain insight into the spatial distribution patterns of soil nematode abundance and community composition, and the environmental drivers shaping these patterns., Scientific Data, 7 (1), ISSN:2052-4463
46. Global relationships in tree functional traits
- Author
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Daniel S. Maynard, Lalasia Bialic-Murphy, Constantin M. Zohner, Colin Averill, Johan van den Hoogen, Haozhi Ma, Lidong Mo, Gabriel Reuben Smith, Alicia T. R. Acosta, Isabelle Aubin, Erika Berenguer, Coline C. F. Boonman, Jane A. Catford, Bruno E. L. Cerabolini, Arildo S. Dias, Andrés González-Melo, Peter Hietz, Christopher H. Lusk, Akira S. Mori, Ülo Niinemets, Valério D. Pillar, Bruno X. Pinho, Julieta A. Rosell, Frank M. Schurr, Serge N. Sheremetev, Ana Carolina da Silva, Ênio Sosinski, Peter M. van Bodegom, Evan Weiher, Gerhard Bönisch, Jens Kattge, Thomas W. Crowther, Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Estonian University of Life Sciences (EMU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), Universidade Federal de Pernambuco [Recife] (UFPE), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, DANIEL S. MAYNARD, LALASIA BIALIC-MURPHY, CONSTANTIN M. ZOHNER, COLIN AVERILL, JOHAN VAN DEN HOOGEN, HAOZHI MA, LIDONG MO, GABRIEL REUBEN SMITH, ALICIA T. R. ACOSTA, ISABELLE AUBIN, ERIKA BERENGUER, COLINE C. F. BOONMAN, JANE A. CATFORD, BRUNO E. L. CERABOLINI, ARILDO S. DIAS, Goethe University, ANDRÉS GONZÁLEZ-MELO, PETER HIETZ, CHRISTOPHER H. LUSK, AKIRA S. MORI, ÜLO NIINEMETS, VALÉRIO D. PILLAR, BRUNO X. PINHO, JULIETA A. ROSELL, FRANK M. SCHURR, SERGE N. SHEREMETEV, ANA CAROLINA DA SILVA, ENIO EGON SOSINSKI JUNIOR, CPACT, PETER M. VAN BODEGOM, EVAN WEIHER, GERHARD BÖNISCH, JENS KATTGE, THOMAS W. CROWTHER., Maynard, Daniel S, Bialic-Murphy, Lalasia, Zohner, Constantin M, Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, A. T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C F, Catford, Jane A, Cerabolini, Bruno E L, Dias, Arildo S, González-Melo, André, Hietz, Peter, Lusk, Christopher H, Mori, Akira S, Niinemets, Ülo, Pillar, Valério D, Pinho, Bruno X, Rosell, Julieta A, Schurr, Frank M, Sheremetev, Serge N, da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M, Weiher, Evan, Bönisch, Gerhard, Kattge, Jen, and Crowther, Thomas W
- Subjects
Multidisciplinary ,Ecology ,Ecophysiology ,Biodiversidade ,General Physics and Astronomy ,Aquatic Ecology ,Floresta ,General Chemistry ,Árvore ,Biodiversity ,Forests ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy ,Plant Roots ,Wood ,General Biochemistry, Genetics and Molecular Biology ,Trees ,Plant Leaves ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Biogeography ,Seeds ,Plant Bark ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
Due to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. Despite a wealth of studies exploring trait relationships across the entire plant kingdom, the dominant traits underpinning these unique aspects of tree form and function remain unclear. Here, by considering 18 functional traits, encompassing leaf, seed, bark, wood, crown, and root characteristics, we quantify the multidimensional relationships in tree trait expression. We find that nearly half of trait variation is captured by two axes: one reflecting leaf economics, the other reflecting tree size and competition for light. Yet these orthogonal axes reveal strong environmental convergence, exhibiting correlated responses to temperature, moisture, and elevation. By subsequently exploring multidimensional trait relationships, we show that the full dimensionality of trait space is captured by eight distinct clusters, each reflecting a unique aspect of tree form and function. Collectively, this work identifies a core set of traits needed to quantify global patterns in functional biodiversity, and it contributes to our fundamental understanding of the functioning of forests worldwide.Understanding patterns in woody plant trait relationships and trade-offs is challenging. Here, by applying machine learning and data imputation methods to a global database of georeferenced trait measurements, the authors unravel key relationships in tree functional traits at the global scale.
- Published
- 2022
47. Scientists' call to action: Microbes, planetary health, and the Sustainable Development Goals.
- Author
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Crowther TW, Rappuoli R, Corinaldesi C, Danovaro R, Donohue TJ, Huisman J, Stein LY, Timmis JK, Timmis K, Anderson MZ, Bakken LR, Baylis M, Behrenfeld MJ, Boyd PW, Brettell I, Cavicchioli R, Delavaux CS, Foreman CM, Jansson JK, Koskella B, Milligan-McClellan K, North JA, Peterson D, Pizza M, Ramos JL, Reay D, Remais JV, Rich VI, Ripple WJ, Singh BK, Smith GR, Stewart FJ, Sullivan MB, van den Hoogen J, van Oppen MJH, Webster NS, Zohner CM, and van Galen LG
- Subjects
- Humans, United Nations, Goals, Bacteria metabolism, Global Health, Fungi metabolism, Sustainable Development
- Abstract
Microorganisms, including bacteria, archaea, viruses, fungi, and protists, are essential to life on Earth and the functioning of the biosphere. Here, we discuss the key roles of microorganisms in achieving the United Nations Sustainable Development Goals (SDGs), highlighting recent and emerging advances in microbial research and technology that can facilitate our transition toward a sustainable future. Given the central role of microorganisms in the biochemical processing of elements, synthesizing new materials, supporting human health, and facilitating life in managed and natural landscapes, microbial research and technologies are directly or indirectly relevant for achieving each of the SDGs. More importantly, the ubiquitous and global role of microbes means that they present new opportunities for synergistically accelerating progress toward multiple sustainability goals. By effectively managing microbial health, we can achieve solutions that address multiple sustainability targets ranging from climate and human health to food and energy production. Emerging international policy frameworks should reflect the vital importance of microorganisms in achieving a sustainable future., Competing Interests: Declaration of interests M.Z.A. is on the board of the Native BioData Consortium (NBDC; https://nativebio.org/); D.R. is co-chair of Just Transition Commission (https://www.justtransition.scot/); J.K.J. is chair of the Scientific Advisory Board for Oath Inc. (https://www.oathinc.com/); J.A.N. has a patent holding: North JA, Tabita FR, Young SJ, and Murali S. 2021. Nitrogenase-like enzyme system that catalyzes methionine, ethylene, and methane biogenesis. P2021-099-6249; WIPO 20240060037., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
48. 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
- View/download PDF
49. Building a global database of soil microbial biomass and function: a call for collaboration.
- Author
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Smith GR, Crowther TW, Eisenhauer N, and van den Hoogen J
- Abstract
Global analyses are emerging as valuable complements to local and regional scale studies in ecology and are useful for examining many of the major environmental issues that we face today. Soil ecology has significantly benefited from these developments, with recent syntheses unearthing interesting, unexpected biogeographic patterns in belowground biotic communities. However, some questions still remain unanswered, and the accuracy of these studies is inevitably limited by the extent of the data they draw upon. This is a particular problem in global ecology because most datasets used exhibit geographic bias in sample distribution. Here, we work towards addressing this problem with an open call for collaboration on a planned global analysis of soil phospholipid fatty acid and potential enzyme activity measurements. We summarize the current extent of our dataset, outline the planned analyses, and provide information for prospective collaborators who would like to contribute or learn more.
- Published
- 2020
- Full Text
- View/download PDF
50. The Genome of Peronospora belbahrii Reveals High Heterozygosity, a Low Number of Canonical Effectors, and TC-Rich Promoters.
- Author
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Thines M, Sharma R, Rodenburg SYA, Gogleva A, Judelson HS, Xia X, van den Hoogen J, Kitner M, Klein J, Neilen M, de Ridder D, Seidl MF, van den Ackerveken G, Govers F, Schornack S, and Studholme DJ
- Subjects
- Genomics, Plant Diseases microbiology, Promoter Regions, Genetic, Genome, Mitochondrial, Peronospora genetics
- Abstract
Along with Plasmopara destructor , Peronosopora belbahrii has arguably been the economically most important newly emerging downy mildew pathogen of the past two decades. Originating from Africa, it has started devastating basil production throughout the world, most likely due to the distribution of infested seed material. Here, we present the genome of this pathogen and results from comparisons of its genomic features to other oomycetes. The assembly of the nuclear genome was around 35.4 Mbp in length, with an N
50 scaffold length of around 248 kbp and an L50 scaffold count of 46. The circular mitochondrial genome consisted of around 40.1 kbp. From the repeat-masked genome, 9,049 protein-coding genes were predicted, out of which 335 were predicted to have extracellular functions, representing the smallest secretome so far found in peronosporalean oomycetes. About 16% of the genome consists of repetitive sequences, and, based on simple sequence repeat regions, we provide a set of microsatellites that could be used for population genetic studies of P. belbahrii . P. belbahrii has undergone a high degree of convergent evolution with other obligate parasitic pathogen groups, reflecting its obligate biotrophic lifestyle. Features of its secretome, signaling networks, and promoters are presented, and some patterns are hypothesized to reflect the high degree of host specificity in Peronospora species. In addition, we suggest the presence of additional virulence factors apart from classical effector classes that are promising candidates for future functional studies.- Published
- 2020
- Full Text
- View/download PDF
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