107 results on '"Kominami Y"'
Search Results
2. Spectral study of metabolism-based autofluorescence and white-light reflectance for endoscopic tumor imaging
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Ozaki, M., primary, Kagawa, K., additional, Arimoto, H., additional, Kominami, Y., additional, Sanomura, Y., additional, Yoshida, S., additional, Seo, M-W., additional, Kawahito, S., additional, and Tanaka, S., additional
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- 2015
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3. Dual-band multi-aperture enhanced redox imaging of colonic adenomas for endoscopes with a high-performance CMOS imager
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Kagawa, K., primary, Zhang, B., additional, Seo, M-W, additional, Kawahito, S., additional, Kominami, Y., additional, Yamada, K., additional, Yoshida, S., additional, and Tanaka, S., additional
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- 2013
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4. Interface pressure and stiffness in different combinations of compression material
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Hirai, M, primary, Koyama, A, additional, Miyazaki, K, additional, Iwata, H, additional, and Kominami, Y, additional
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- 2011
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5. Development of a device to determine the stiffness of elastic garments and bandages
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Hirai, M, primary, Niimi, K, additional, Miyazaki, K, additional, Iwata, H, additional, Sugimoto, I, additional, Ishibashi, H, additional, Ota, T, additional, and Kominami, Y, additional
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- 2011
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6. Fine root morphological traits determine variation in root respiration of Quercus serrata
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Makita, N., primary, Hirano, Y., additional, Dannoura, M., additional, Kominami, Y., additional, Mizoguchi, T., additional, Ishii, H., additional, and Kanazawa, Y., additional
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- 2009
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7. The carbon budget of coarse woody debris in a temperate broad-leaved secondary forest in Japan
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Jomura, M., primary, Kominami, Y., additional, Tamai, K., additional, Miyama, T., additional, Goto, Y., additional, Dannoura, M., additional, and Kanazawa, Y., additional
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- 2007
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8. Estimation of Root Biomass and Root Surface Area in a Broad-leaved Secondary Forest in the Southern Part of Kyoto Prefecture.
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Dannoura, M., primary, Suzuki, M., additional, Kominami, Y., additional, Goto, Y., additional, and Kanazawa, Y., additional
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- 2006
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9. A02 Developing mosquito trap 'MOSQUITOLL'(General presentation,Abstract,The 58th Annual Meeting of the Japan Society of Medical Entomology and Zoology)
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Araki, O, primary, Fujimori, Y, additional, Kominami, Y, additional, and Ikari, K, additional
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- 2006
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10. Tree Densities and Prediction Models for Plantations and Reforestation-abandoned Sites after Clear Cutting in Kyushu Island, Japan.
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Saito, S., primary, Inoue, N., additional, Noda, R., additional, Yamada, Y., additional, Saho, K., additional, Takamiya, T., additional, Yokoo, K., additional, Kominami, Y., additional, Nagamatsu, D., additional, Sato, T., additional, and Kajimoto, T., additional
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- 2006
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11. Forest Fire Intensity in Japan: Estimation of Byram's Fireline Intensity Using Rothermel's Fire Spread Model.
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Goto, Y., primary, Tamai, K., additional, Miyama, T., additional, and Kominami, Y., additional
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- 2005
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12. Long-term Measurements of the CO2 Flux from Coarse Woody Debris Using an Automated Chamber System.
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Jomura, M., primary, Kominami, Y., additional, and Kanazawa, Y., additional
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- 2005
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13. The Estimation of Time Series Data for Soil Respiration Based on Soil Temperature and Soil Moisture Content Ratio and Its Spatial Variations in a Small Mountainous Catchment: In the Case of Weathered Granite Region in Southern Kyoto Prefecture.
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Tamai, K., primary, Kominami, Y., additional, Miyama, T., additional, and Goto, Y., additional
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- 2005
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14. Characteristics of CO2 flux over a forest on complex topography
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KOMINAMI, Y., primary, MIYAMA, T., additional, TAMAI, K., additional, NOBUHIRO, T., additional, and GOTO, Y., additional
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- 2003
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15. A New Specification of Software Components for Embedded Systems.
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Azumi, T., Yamamoto, M., Kominami, Y., Takagi, N., Oyama, H., and Takada, H.
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- 2007
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16. Interface pressure and stiffness in different combinations of compression material.
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Hirai, M, Koyama, A, Miyazaki, K, Iwata, H, and Kominami, Y
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COMPRESSION stockings ,COMBINED modality therapy ,HUMAN anatomical models ,STATISTICS ,SURGICAL dressings ,U-statistics ,DATA analysis ,COMPRESSION therapy ,DATA analysis software ,DESCRIPTIVE statistics ,IN vitro studies - Abstract
The article presents a study which compares the stiffness and interface pressure between different combinations of compression material. The study shows the changeable stiffness according to the combinations of material, which include the wearing of bandages over stockings, double bandages and double stockings. It reveals that using short- stretch bandages as the outside layer creates the highest stiffness at initial pressure.
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- 2012
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17. Carbon dioxide insufflation is useful for obtaining clear images of the bile duct during peroral cholangioscopy (with video)
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Ueki T, Mizuno M, Ota S, Ogawa T, Matsushita H, Uchida D, Numata N, Ueda A, Morimoto Y, Kominami Y, Nanba S, Kurome M, Ohe H, Nakagawa M, and Araki Y
- Abstract
BACKGROUND: Peroral cholangioscopy (POCS) is useful for the diagnosis of various bile duct lesions. However, it is often difficult to obtain clear images because of bile or biliary sludge in the bile duct, even after vigorous irrigation of the bile duct with saline solution. Therefore, this study investigated whether inflation with carbon dioxide (CO(2)) yields clearer images of the bile duct than conventional saline solution irrigation during POCS. OBJECTIVE: To evaluate the clinical utility and safety of CO(2) insufflation into the bile duct to obtain clear images in POCS observations by comparing this method with conventional saline solution irrigation. SETTING: A single center. DESIGN: Case-control study. PATIENTS: Nineteen patients with suspected biliary diseases. INTERVENTIONS: CO(2) insufflation into the bile duct during POCS. MAIN OUTCOME MEASUREMENTS: The quality and safety of this method. RESULT: The quality of the images of the bile duct lumen with CO(2) insufflation (10 patients) was significantly superior to those with saline solution irrigation (9 patients) in both clarity (P < .05) and color (P < .05). In particular, extremely clear images could be obtained from the middle part of common bile duct to the right and left hepatic duct. No serious POCS-related complications occurred. There was no significant change in the venous partial pressure of the CO(2) level during the procedure. LIMITATIONS: The number of patients examined was small. CONCLUSIONS: CO(2) insufflation is useful for obtaining clear images of the bile duct during POCS, which makes it possible to determine the qualitative diagnosis and the extent of various bile duct lesions. [ABSTRACT FROM AUTHOR]
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- 2010
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18. Low noise, low-distortion front-end IC for 1.1-V paging receiver
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Tanaka, S., primary, Nakajima, A., additional, Nakagoshi, A., additional, Washio, K., additional, Takei, K., additional, Nakagawa, J., additional, Kominami, Y., additional, and Okabe, T., additional
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- 1991
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19. The carbon budget of coarse woody debris in a temperate broad-leaved secondary forest in Japan.
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Jomuka, M., Kominami, Y., Tamai, K., Miyama, T., Goto, Y., Dannoura, M., and Kanazawa, Y.
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CARBON , *COARSE woody debris , *FORESTS & forestry , *SNAGS (Forestry) , *MORTALITY , *DYNAMICS , *BIOTIC communities - Abstract
We evaluated the carbon budget of coarse woody debris (CWD) in a temperate broad-leaved secondary forest. On the basis of a field survey conducted in 2003, the mass of CWD was estimated at 9.30 tC ha−1, with snags amounting to 60% of the total mass. Mean annual CWD input mass was estimated to be 0.61 tC ha−1 yr−1 by monitoring tree mortality in the forest from 1999 to 2004. We evaluated the CWD decomposition rate as the CO2 evolution rate from CWD by measuring CO2 emissions from 91 CWD samples ( RCWD) with a closed dynamic chamber and infrared gas analysis system. The relationships between RCWD and temperature in the chamber, water content of the CWD, and other CWD characteristics were determined. By scaling the measured RCWD to the ecosystem, we estimated that the annual RCWD in the forest in 2003 was 0.50 tC ha−1 yr−1 or 10%–16% of the total heterotrophic respiration. Therefore, 0.11 tC ha−1 yr−1 or 7% of the forest net ecosystem production was sequestered by CWD. In a young forest, in which CWD input and decomposition are not balanced, the CWD carbon budget needs to be quantified for accurate evaluation of the forest carbon cycle and NEP. [ABSTRACT FROM AUTHOR]
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- 2007
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20. Characteristics of CO2 flux over a forest on complex topography.
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KOMINAMI, Y., MIYAMA, T., TAMAI, K., NOBUHIRO, T., and GOTO, Y.
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CARBON dioxide , *FORESTS & forestry - Abstract
abstract The CO2 flux over a mixed forest of evergreen and deciduous broad-leaved trees on complex topography was measured by using an eddy covariance method. To evaluate the CO2 flux over such a forest and to ascertain the effect of topography, the eddy covariance measurement was conducted at the top of each of two meteorological towers erected in a basin (1.6 ha). The CO2 flux measured by the eddy covariance method was also evaluated by comparing it with the CO2 flux from leaf photosynthesis and soil respiration as continuously measured by automatic chamber methods on the forest floor and in the foliage. The daily variations in the daytime CO2 flux values measured at the two towers were each quite similar. However, for the night-time CO2 flux values, there was about 36% difference between the towers, even though the flux was measured in the same basin. The CO2 flux as measured by eddy covariance and including CO2 storage change (F n ) was 60% lower than that estimated by the chamber methods (F chm ). The CO2 flux as measured by using the relation between F n and soil temperature at 2 cm depth obtained only under conditions of low stability (U *≥ 0.25 m s-1 ) was 32% lower than F chm . [ABSTRACT FROM AUTHOR]
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- 2003
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21. Development of decision support system for optimal agricultural production under global environment changes.
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Ninomiya, S., Mizoguchi, M., Kuwagata, T., Nakagawa, H., Nishimura, T., Kiura, T., Kato, C., Doi, R., Guo, W., Hirafuji, M., Iida, T., Inoue, K., Ishigooka, Y., Kimura, M., Kominami, Y., Kubo, N., Minamiyama, M., Miura, H., Nakazono, K., and Nomura, M.
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- 2011
22. Development of decision support system for optimal agricultural production under global environment changes
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Ninomiya, S., Mizoguchi, M., Kuwagata, T., Nakagawa, H., Nishimura, T., Kiura, T., Kato, C., Doi, R., WEI GUO, Hirafuji, M., Iida, T., Inoue, K., Ishigooka, Y., Kimura, M., Kominami, Y., Kubo, N., Minamiyama, M., Miura, H., Nakazono, K., Nomura, M., Nishida, K., Ohishi, R., Ohno, H., Oida, T., Saito, H., Shiozawa, S., Takahashi, W., Tanaka, K., Tsukaguchi, T., Yonekawa, S., Yoshida, H., and Yoshida, S.
23. Low-noise, Low-distortion Front-end IC For 1.1 -V Paging Receiver
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Tanaka, S., primary, Nakajima, A., additional, Nakagoshi, A., additional, Washio, K., additional, Takei, K., additional, Nakagawa, J., additional, Kominami, Y., additional, and Okabe, T., additional
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24. Low-noise, Low-distortion Front-end IC For 1.1 -V Paging Receiver.
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Tanaka, S., Nakajima, A., Nakagoshi, A., Washio, K., Takei, K., Nakagawa, J., Kominami, Y., and Okabe, T.
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- 1991
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25. Estimating the amount of snowmelt based on viscous compression modelof snow
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Kominami, Y., Endo, Y., and Niwano, S.
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HYDROLOGY ,MATHEMATICAL models - Abstract
This paper describes a method to estimate the amount of snow melt using hourly data of total snow depth and precipitation. Based on viscous compression theory and an empirical relation between compressive viscosity and density of snow, an equation was derived to compute the time variation of the thickness of a snow layer due to viscous compression. Using the equation, the present height of the previous snow surface was computed, and the depth of hourly snowfall was estimated asthe difference between the present height of the previous snow surface and the measured present total snow depth. Substituting precipitation to this depth as the weight of the snow layer, the depth and weight of each hourly snow layer was estimated. Depth of snow melt was estimated by subtracting the measured thickness of snow depth reductionfrom the estimated thickness of snow compaction. The amount of snow melt was estimated as the estimated dry weight of these snow layer which was lost by snow melt. The approximated results agree well with estimated results by an alternative method used at the Tohkamachi experimental station in 1994/95. [ABSTRACT FROM AUTHOR]
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- 1999
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26. Early stage litter decomposition across biomes
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Umberto Morra di Cella, Sean P. Charles, Matteo Gualmini, Naoko Tokuchi, Michael Mirtl, Marta Lobão Lopes, Takeshi Ise, Inmaculada García Quirós, Geovana Carreño-Rocabado, Arne Verstraeten, Joan-Albert Sanchez-Cabeza, Thomas Zechmeister, Jill Thompson, Norbert Hölzel, Maroof Hamid, Rodrigo Lemes Martins, Taiki Mori, José Marcelo Domingues Torezan, Dana Polyanskaya, Peter Haase, Björn Berg, Angela Stanisci, Issaka Senou, Inger Kappel Schmidt, Markus Wagner, Adriano Caliman, Laurel M. Brigham, Alejandro Valdecantos, Céline Meredieu, Kalifa Coulibaly, Margarida Santos-Reis, Georg Wohlfahrt, Regin Rønn, Marcello Tomaselli, Martin Weih, Bernd Ahrends, Kaie Kriiska, Anja Schmidt, Luciana S. Carneiro, Ana I. Lillebø, Alessandro Petraglia, Algirdas Augustaitis, Ana I. Sousa, Sonja Wipf, Chi-Ling Chen, Hassan Bismarck Nacro, Sue J. Milton, Ivan Mihal, Ika Djukic, Florence Maunoury-Danger, Peter Fleischer, Tatsuro Nakaji, Cendrine Mony, Sara Puijalon, Rafael D. Guariento, Rosa Isela Meneses, Mihai Pușcaș, Pablo Luis Peri, Flurin Sutter, Kate Lajtha, Peter B. Reich, Lindsey E. Rustad, María Guadalupe Almazán Torres, Laura Williams, George L. Vourlitis, Evanilde Benedito, Arely N. Palabral-Aguilera, Luis Villar, Stefanie Hoeber, Juan J. Jiménez, Esperança Gacia, Alba Gutiérrez-Girón, Kazuhiko Hoshizaki, Takanori Sato, Eric Lucot, Osvaldo Borges Pinto, Artur Stefanski, Andrew R. Smith, Takuo Hishi, Rosario G. Gavilán, Till Kleinebecker, Julia Seeber, Gina Arena, Marcelo Sternberg, Mo Jiangming, Tsutom Hiura, Satoshi N. Suzuki, Jeyanny Vijayanathan, Christine Delire, Francisco Cuesta, Bill Parker, Mark Frenzel, Franz Zehetner, Vincent Maire, Edward Crawford, Heinke Jäger, Nicolas Lecomte, Tanaka Kenta, Yuji Kominami, Joseph C. Morina, Paige E. Weber, Pavel Dan Turtureanu, Marc Lebouvier, Pascal Vittoz, Jónína Sigríður Þorláksdóttir, Anne Probst, David Fuentes Delgado, Laura Yahdjian, Johan Neirynck, Isaac Ahanamungu Makelele, Bernard Bosman, Fábio Padilha Bolzan, Yury Rozhkov, Ute Hamer, Henning Meesenburg, Vinicius F. Farjalla, Steffen Seitz, Marie-Noëlle Pons, Jess K. Zimmerman, Hans Verbeeck, Thomas Scholten, Elena Preda, Thomas Spiegelberger, Romain Georges, Stefan Löfgren, Ferdinand Kristöfel, Pierre Marmonier, Juha M. Alatalo, Katalin Szlavecz, Ana Carolina Ruiz Fernández, Johannes M. H. Knops, Rita Adrian, Vanessa Mendes Rêgo, Jean-Christophe Lata, Rafaella Canessa, Kathrin Käppeler, Andrea Fischer, Michael Bierbaumer, Jiří Doležal, Hideaki Shibata, Marcus Schaub, Zsolt Toth, Diyaa Radeideh, Matthew A. Vadeboncoeur, Robert Kanka, William H. McDowell, Birgit Sattler, Jean-Luc Probst, Mioko Ataka, Katarína Gerhátová, Jawad Shoqeir, Stefan Stoll, Michael Danger, Sébastien Gogo, Katja Tielbörger, Laryssa Helena Ribeiro Pazianoto, Bo Yang, Franco L. Souza, John Loehr, Francisco de Almeida Lobo, Michael J. Liddell, Sylvie Dousset, Dirk Wundram, Ralf Kiese, Yalin Hu, Miglena Zhiyanski, José-Luis Benito-Alonso, Katie A. Jennings, Tsutomu Enoki, Helena Cristina Serrano, Quentin Ponette, Helge Bruelheide, Simon Drollinger, Vincent Bretagnolle, Ivika Ostonen, Lambiénou Yé, Javier Roales, Philippe Choler, Madison Morley, Charles A. Nock, Grizelle González, Tudor-Mihai Ursu, Maaike Y. Bader, Cristina Branquinho, Hugo López Rosas, Nina V. Filippova, Erzsébet Hornung, Anzar A. Khuroo, Lourdes Morillas, Harald Auge, Andreas Bohner, Florian Kitz, Stephan Glatzel, Aurora Gaxiola, Marijn Bauters, Stefan Trogisch, Guylaine Canut, Oscar Romero, Hélène Verheyden, Yulia Zaika, Veronika Piscová, Michael Scherer-Lorenzen, Valentin H. Klaus, Elena Tropina, Michele Di Musciano, Marie-Andrée Giroux, Florian Hofhansl, Wenjun Zhou, Corinna Rebmann, Thomas J. Mozdzer, Zsolt Kotroczó, Evy Ampoorter, Michal Růžek, Jana Borovská, Jianwu Tang, Petr Petřík, Juan Dario Quinde, Simone Mereu, Esther Lévesque, Olga Ferlian, Veronika Fontana, Joël Merlet, Stacey M. Trevathan-Tackett, André-Jean Francez, Wentao Luo, Héctor Alejandro Bahamonde, Roberto Cazzolla Gatti, Brigitta Erschbamer, Christopher Andrews, Marie-Anne de Graaff, Martin Schädler, Luciano Di Martino, Verena Busch, Elli Groner, Victoria Carbonell, Michinari Matsushita, Maria Glushkova, Sarah Freda, Alain Paquette, Annie Ouin, Robert Weigel, Monique Carnol, Bohdan Juráni, Ian D. Yesilonis, Jean-Paul Theurillat, Hugo L. Rojas Villalobos, Alberto Humber, Martha Apple, Nico Eisenhauer, Claus Beier, Hermann F. Jungkunst, Hiroko Kurokawa, Nadia Barsoum, Thierry Camboulive, Klaus Steenberg Larsen, Frank Berninger, Laura Dienstbach, Yasuhiro Utsumi, Inara Melece, Felipe Varela, Sally Wittlinger, Christian Rixen, Valter Di Cecco, Anderson da Rocha Gripp, Marina Mazón, E. Carol Adair, Hanna Lee, István Fekete, Liesbeth van den Brink, José-Gilberto Cardoso-Mohedano, Ken Green, Heike Feldhaar, Jonathan von Oppen, Michele Carbognani, Lu Xiankai, Christophe Piscart, Fernando T. Maestre, Karibu Fukuzawa, Chiao-Ping Wang, Bart Muys, Lipeng Zhang, Harald Pauli, Inge van Halder, Carmen Eugenia Rodríguez Ortíz, Eduardo Ordóñez-Regil, Priscilla Muriel, Heather D. Alexander, Sebastian Kepfer-Rojas, Victoria Ochoa, Casper T. Christiansen, Mohammed Alsafran, Thaisa Sala Michelan, Christel Baum, Amélie Saillard, Hervé Jactel, Markus Didion, Evgeny A. Davydov, Sabyasachi Dasgupta, Anna Avila, Andrijana Andrić, Kris Verheyen, Jörg Löffler, Gisele Daiane Pinha, Anikó Seres, Jutta Stadler, Milan Barna, Andrey V. Malyshev, Rebecca E. Hewitt, Joh R. Henschel, Peter I. Macreadie, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Norwegian Institute for Water Research (NIVA), Swedish University of Agricultural Sciences (SLU), Dept Forest & Water Management, Lab Forestry, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre for Forest Research (CFR), Université du Québec à Montréal = University of Québec in Montréal (UQAM), 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 [2016-2019] (UGA [2016-2019]), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-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 (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-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), Université de Rennes (UNIV-RENNES)-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), Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, European Forest Institute = Institut Européen de la Forêt = Euroopan metsäinstituutti (EFI), Institute of Information Engineering [Beijing] (IIE), Chinese Academy of Sciences [Beijing] (CAS), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), University of Rostock, WSL Institute for Snow and Avalanche Research SLF, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Department Computational Hydrosystems [UFZ Leipzig], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Département de chimie-biologie & Centre d’études nordiques [CANADA], Université du Québec à Trois-Rivières (UQTR), Area de Biodiversidad y Conservaciín, Universidad Rey Juan Carlos [Madrid] (URJC), Laboratoire Interdisciplinaire des Environnements Continentaux (LIEC), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Terre et Environnement de Lorraine (OTELo), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Soil Research, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Institute of Ecology, University of Innsbruck, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Computational & Applied Vegetation Ecology (CAVElab), Department Community Ecology [UFZ Leipzig], University of Vienna [Vienna], Institut du Développement rural (IDR), Université Polytechnique Nazi Boni Bobo-Dioulasso (UNB), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Institut National de la Recherche Agronomique (INRA), Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Tohoku University [Sendai], Institute of Ecology and Earth Sciences [Tartu], University of Tartu, Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Centre alpien de Phytogéographie (CAP), Fondation Jean-Marcel Aubert, Inst Trop Ecosyst Studies, University of Puerto Rico (UPR), Universidad de Valladolid [Valladolid] (UVa), Mountain Agriculture Research Unit, Centre international de recherche-développement sur l'élevage en zone sub-humide (CIRDES), Centre Universitaire Polytechnique de Dédougou (CUP-D), Université Joseph Ki-Zerbo [Ouagadougou] (UJZK), USDA Forest Service, Instituto Pirenaico de Ecologia = Pyrenean Institute of Ecology (IPE), Station Biologique de Paimpont CNRS UMR 6653 (OSUR), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institute of Pharmacology and Toxicology [Zurich], Universität Zürich [Zürich] = University of Zurich (UZH), Centre for Ecology - Evolution and Environmental Changes (cE3c) - Faculdade de Ciências, Universidade de Lisboa = University of Lisbon (ULISBOA), Canada Research in Northern Biodiversity, Université du Québec à Rimouski (UQAR), Laboratoire Réactions et Génie des Procédés (LRGP), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Zone Atelier du Bassin de la Moselle [LTSER France] (ZAM), Department of Crop Production Ecology, University of Freiburg, Forest Research Institute- BAS, Bulgarian Academy of Sciences (BAS), Lab Plant & Microbial Ecol, Inst Bot B22, Université de Liège, Laboratoire Dynamique de la Biodiversité (LADYBIO), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Leipzig University, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Universitat Politècnica de Catalunya [Barcelona] (UPC), Université de Lausanne = University of Lausanne (UNIL), Department of Limnology and Conservation, Senckenberg Research Institutes and Natural History Museums, Department of Forest Resources, University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain = Catholic University of Louvain (UCL), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Institut des Sciences de la Terre d'Orléans - UMR7327 (ISTO), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Biogéosystèmes Continentaux - UMR7327, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Department of Science for Nature and Natural Resources, Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Tomakomai Research Station, Field Science Center for Northern Biosphere, Hokkaido University [Sapporo, Japan], Bangor University, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), LTSER «Zone Atelier Plaine & Val de Sevre» [France], Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Condensed Matter Theory Laboratory RIKEN (RIKEN), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), 730938, Biological Interactions Doctoral Programme, Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, 2/0101/18, Scientific Grant Agency VEGA, 2190, Fundación Charles Darwin, UID/AMB/50017, Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro, ILTER Initiative Grant, ClimMani Short-Term Scientific Missions Grant, ES1308-231015-068365, Austrian Environment Agency, SFRH/BPD/107823/2015, Portuguese Foundation, DEB-1557009, NSF, UID/BIA/00329/2013, Fundação para a Ciência e Tecnologia, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), University of Helsinki, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Centre alpien de Phytogéographie, Fondation J.-M. Aubert, Centre international de recherche-développement sur l'élevage en zone Subhumide (CIRDES), Centre international de recherche-développement sur l'élevage en zone Subhumide, Instituto Pirenaico de Ecologia (IPE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), University of Lisbon, Université de Leipzig, Westfälische Wilhelms-Universität Münster (WWU), Université de Lausanne (UNIL), University of Sassari, Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), 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), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Laboratoire Chrono-environnement (UMR 6249) (LCE), Leopold Franzens Universität Innsbruck - University of Innsbruck, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), Université de Rennes (UR), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Météo France (FRANCE), UCL - SST/ELI/ELIE - Environmental Sciences, Swiss Federal Institute for Forest, Snow and Avalanche Research WSL, Swedish University of Agricultural Sciences - Department of Forest Soils, Ghent University [Belgium] (UGENT), Université du Québec à Montréal (UQAM), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Spanish National Institute for Agriculture and Food Research and Technology (INIA), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Science Politique Relations Internationales Territoire (SPIRIT), Université Montesquieu - Bordeaux 4-Institut d'Études Politiques [IEP] - Bordeaux-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA), University of Rostock [Germany], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Helmholtz Centre for Environmental Research (UFZ), Universiteit Gent [Ghent], Laboratoire de Comportement et d'Ecologie de la Faune Sauvage, INRA, 31326 Castanet-Tolosan cedex, France, Institut d'écologie et des sciences de l'environnement de Paris (IEES), Universidad de Puerto Rico, Centre Universitaire Polytechnique de Dédougou, Université de Ouagadougou, Instituto Pirenaico de Ecología, IPE-CSIC, University of Zürich [Zürich] (UZH), LTSER Zone Atelier du Bassin de la Moselle, Helmholtz Zentrum für Umweltforschung (UFZ), Institute of Terrestrial Ecosystems, University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE), Université Catholique de Louvain (UCL), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Hokkaido University, Technische Universität Dresden (TUD), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR), LTSER Zone Atelier Plaine & Val de Sèvre, Djukic I., Kepfer-Rojas S., Schmidt I.K., Larsen K.S., Beier C., Berg B., Verheyen K., Caliman A., Paquette A., Gutierrez-Giron A., Humber A., Valdecantos A., Petraglia A., Alexander H., Augustaitis A., Saillard A., Fernandez A.C.R., Sousa A.I., Lillebo A.I., da Rocha Gripp A., Francez A.-J., Fischer A., Bohner A., Malyshev A., Andric A., Smith A., Stanisci A., Seres A., Schmidt A., Avila A., Probst A., Ouin A., Khuroo A.A., Verstraeten A., Palabral-Aguilera A.N., Stefanski A., Gaxiola A., Muys B., Bosman B., Ahrends B., Parker B., Sattler B., Yang B., Jurani B., Erschbamer B., Ortiz C.E.R., Christiansen C.T., Carol Adair E., Meredieu C., Mony C., Nock C.A., Chen C.-L., Wang C.-P., Baum C., Rixen C., Delire C., Piscart C., Andrews C., Rebmann C., Branquinho C., Polyanskaya D., Delgado D.F., Wundram D., Radeideh D., Ordonez-Regil E., Crawford E., Preda E., Tropina E., Groner E., Lucot E., Hornung E., Gacia E., Levesque E., Benedito E., Davydov E.A., Ampoorter E., Bolzan F.P., Varela F., Kristofel F., Maestre F.T., Maunoury-Danger F., Hofhansl F., Kitz F., Sutter F., Cuesta F., de Almeida Lobo F., de Souza F.L., Berninger F., Zehetner F., Wohlfahrt G., Vourlitis G., Carreno-Rocabado G., Arena G., Pinha G.D., Gonzalez G., Canut G., Lee H., Verbeeck H., Auge H., Pauli H., Nacro H.B., Bahamonde H.A., Feldhaar H., Jager H., Serrano H.C., Verheyden H., Bruelheide H., Meesenburg H., Jungkunst H., Jactel H., Shibata H., Kurokawa H., Rosas H.L., Rojas Villalobos H.L., Yesilonis I., Melece I., Van Halder I., Quiros I.G., Makelele I., Senou I., Fekete I., Mihal I., Ostonen I., Borovska J., Roales J., Shoqeir J., Lata J.-C., Theurillat J.-P., Probst J.-L., Zimmerman J., Vijayanathan J., Tang J., Thompson J., Dolezal J., Sanchez-Cabeza J.-A., Merlet J., Henschel J., Neirynck J., Knops J., Loehr J., von Oppen J., Thorlaksdottir J.S., Loffler J., Cardoso-Mohedano J.-G., Benito-Alonso J.-L., Torezan J.M., Morina J.C., Jimenez J.J., Quinde J.D., Alatalo J., Seeber J., Stadler J., Kriiska K., Coulibaly K., Fukuzawa K., Szlavecz K., Gerhatova K., Lajtha K., Kappeler K., Jennings K.A., Tielborger K., Hoshizaki K., Green K., Ye L., Pazianoto L.H.R., Dienstbach L., Williams L., Yahdjian L., Brigham L.M., van den Brink L., Rustad L., Zhang L., Morillas L., Xiankai L., Carneiro L.S., Di Martino L., Villar L., Bader M.Y., Morley M., Lebouvier M., Tomaselli M., Sternberg M., Schaub M., Santos-Reis M., Glushkova M., Torres M.G.A., Giroux M.-A., de Graaff M.-A., Pons M.-N., Bauters M., Mazon M., Frenzel M., Didion M., Wagner M., Hamid M., Lopes M.L., Apple M., Schadler M., Weih M., Gualmini M., Vadeboncoeur M.A., Bierbaumer M., Danger M., Liddell M., Mirtl M., Scherer-Lorenzen M., Ruzek M., Carbognani M., Di Musciano M., Matsushita M., Zhiyanski M., Puscas M., Barna M., Ataka M., Jiangming M., Alsafran M., Carnol M., Barsoum N., Tokuchi N., Eisenhauer N., Lecomte N., Filippova N., Holzel N., Ferlian O., Romero O., Pinto O.B., Peri P., Weber P., Vittoz P., Turtureanu P.D., Fleischer P., Macreadie P., Haase P., Reich P., Petrik P., Choler P., Marmonier P., Muriel P., Ponette Q., Guariento R.D., Canessa R., Kiese R., Hewitt R., Ronn R., Adrian R., Kanka R., Weigel R., Gatti R.C., Martins R.L., Georges R., Meneses R.I., Gavilan R.G., Dasgupta S., Wittlinger S., Puijalon S., Freda S., Suzuki S., Charles S., Gogo S., Drollinger S., Mereu S., Wipf S., Trevathan-Tackett S., Lofgren S., Stoll S., Trogisch S., Hoeber S., Seitz S., Glatzel S., Milton S.J., Dousset S., Mori T., Sato T., Ise T., Hishi T., Kenta T., Nakaji T., Michelan T.S., Camboulive T., Mozdzer T.J., Scholten T., Spiegelberger T., Zechmeister T., Kleinebecker T., Hiura T., Enoki T., Ursu T.-M., di Cella U.M., Hamer U., Klaus V.H., Rego V.M., Di Cecco V., Busch V., Fontana V., Piscova V., Carbonell V., Ochoa V., Bretagnolle V., Maire V., Farjalla V., Zhou W., Luo W., McDowell W.H., Hu Y., Utsumi Y., Kominami Y., Zaika Y., Rozhkov Y., Kotroczo Z., Toth Z., and Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
- Subjects
DYNAMICS ,010504 meteorology & atmospheric sciences ,Biome ,Biochimie, Biologie Moléculaire ,Carbon turnover ,01 natural sciences ,CARBON ,Waste Management and Disposal ,ComputingMilieux_MISCELLANEOUS ,CLIMATE-CHANGE ,биомы ,Tea bag, Green tea, Rooibos tea, Carbon turnover, TeaComposition initiative ,04 agricultural and veterinary sciences ,Pollution ,Environmental chemistry ,[SDE]Environmental Sciences ,Terrestrial ecosystem ,Life Sciences & Biomedicine ,Biologie ,TRAITS ,Rooibos tea ,IMPACTS ,Environmental Engineering ,почвенные процессы ,chemistry.chemical_element ,Climate change ,Environmental Sciences & Ecology ,Ingénierie de l'environnement ,Green tea ,Tea bag ,TeaComposition initiative ,Ecology and Environment ,Atmosphere ,подстилки ,Environmental Chemistry ,Ecosystem ,RATES ,0105 earth and related environmental sciences ,оборот углерода ,Science & Technology ,Tea composition initiative ,FEEDBACK ,15. Life on land ,Decomposition ,влияние климата ,TERRESTRIAL ECOSYSTEMS ,MODEL ,экосистемы ,chemistry ,13. Climate action ,PATTERNS ,040103 agronomy & agriculture ,Litter ,0401 agriculture, forestry, and fisheries ,Environmental science ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,500 Naturwissenschaften und Mathematik::570 Biowissenschaften ,Biologie::577 Ökologie ,Carbon ,Environmental Sciences - Abstract
Through litter decomposition enormous amounts of carbon is emitted to the atmosphere. Numerous large-scale decomposition experiments have been conducted focusing on this fundamental soil process in order to understand the controls on the terrestrial carbon transfer to the atmosphere. However, previous studies were mostly based on site-specific litter and methodologies, adding major uncertainty to syntheses, comparisons and meta-analyses across different experiments and sites. In the TeaComposition initiative, the potential litter decomposition is investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from -9 to +26 °C MAT and from 60 to 3113 mm MAP) across different ecosystems. In this study we tested the effect of climate (temperature and moisture), litter type and land-use on early stage decomposition (3 months) across nine biomes. We show that litter quality was the predominant controlling factor in early stage litter decomposition, which explained about 65% of the variability in litter decomposition at a global scale. The effect of climate, on the other hand, was not litter specific and explained
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- 2018
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27. Effect of bihemispheric transcranial direct current stimulation on distal upper limb function and corticospinal tract excitability in a patient with subacute stroke: a case study.
- Author
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Shiba T, Mizuta N, Hasui N, Kominami Y, Nakatani T, Taguchi J, and Morioka S
- Abstract
Introduction: Activation of the unaffected hemisphere contributes to motor function recovery post stroke in patients with severe upper limb motor paralysis. Transcranial direct current stimulation (tDCS) has been used in stroke rehabilitation to increase the excitability of motor-related areas. tDCS has been reported to improve upper limb motor function; nonetheless, its effects on corticospinal tract excitability and muscle activity patterns during upper limb exercise remain unclear. Additionally, it is unclear whether simultaneously applied bihemispheric tDCS is more effective than anodal tDCS, which stimulates only one hemisphere. This study examined the effects of bihemispheric tDCS training on corticospinal tract excitability and muscle activity patterns during upper limb movements in a patient with subacute stroke., Methods: In this single-case retrospective study, the Fugl-Meyer Assessment, Box and Block Test, electromyography, and intermuscular coherence measurement were performed. Intermuscular coherence was calculated at 15-30 Hz, which reflects corticospinal tract excitability., Results: The results indicated that bihemispheric tDCS improved the Fugl-Meyer Assessment, Box and Block Test, co-contraction, and intermuscular coherence results, as compared with anodal tDCS. Discussion: These results reveal that upper limb training with bihemispheric tDCS improves corticospinal tract excitability and muscle activity patterns in patients with subacute stroke., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Shiba, Mizuta, Hasui, Kominami, Nakatani, Taguchi and Morioka.)
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- 2023
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28. Coordinated linear and rotational movements of endothelial cells compartmentalized by VE-cadherin drive angiogenic sprouting.
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Tonami K, Hayashi T, Uchijima Y, Kanai M, Yura F, Mada J, Sugahara K, Kurihara Y, Kominami Y, Ushijima T, Takubo N, Liu X, Tozawa H, Kanai Y, Tokihiro T, and Kurihara H
- Abstract
Angiogenesis is a sequential process to extend new blood vessels from preexisting ones by sprouting and branching. During angiogenesis, endothelial cells (ECs) exhibit inhomogeneous multicellular behaviors referred to as "cell mixing," in which ECs repetitively exchange their relative positions, but the underlying mechanism remains elusive. Here we identified the coordinated linear and rotational movements potentiated by cell-cell contact as drivers of sprouting angiogenesis using in vitro and in silico approaches. VE-cadherin confers the coordinated linear motility that facilitated forward sprout elongation, although it is dispensable for rotational movement, which was synchronous without VE-cadherin. Mathematical modeling recapitulated the EC motility in the two-cell state and angiogenic morphogenesis with the effects of VE-cadherin-knockout. Finally, we found that VE-cadherin-dependent EC compartmentalization potentiated branch elongations, and confirmed this by mathematical simulation. Collectively, we propose a way to understand angiogenesis, based on unique EC behavioral properties that are partially dependent on VE-cadherin function., Competing Interests: The authors declare no competing interests., (© 2023 The Author(s).)
- Published
- 2023
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29. The Philippines stingless bee propolis promotes hair growth through activation of Wnt/β-catenin signaling pathway.
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Tang Y, Wang C, Desamero MJM, Kok MK, Chambers JK, Uchida K, Kominami Y, Ushio H, Cervancia C, Estacio MA, Kyuwa S, and Kakuta S
- Subjects
- Mice, Bees, Animals, beta Catenin metabolism, Quality of Life, Philippines, Mice, Inbred C57BL, Hair, Alopecia, Wnt Signaling Pathway, Propolis
- Abstract
Although hair loss is not a horrible disease, it sometimes reduces the patients' quality of life (QOL) and increases their mental stress. Currently, there is no effective treatment for hair loss. It is known that honeybee propolis has various biological activities, including stimulating the proliferation of hair matrix keratinocytes. However, little is known with the hair promoting activity of stingless bee propolis. Hence, this study investigates the hair growth-promoting activity of Philippines stingless bee propolis extract and the underlying a molecular mechanism of promoting hair growth. For the evaluation of hair growth stimulating activity, 99.5% ethanolic extract of Philippines stingless bee propolis is examined using the simple shaving model in C57BL/6N mice. Melaninization of dorsal skin and histological analysis of hair follicles (HFs) revealed that propolis promotes hair growth by stimulating HFs development. The expression of mRNA (Wnt3a, Ctnnb1/β-catenin, Lef1, and Bmp2) and protein (WNT3A and β-catenin) of selected Wnt/β-catenin associated genes explains Philippines stingless bee propolis promoting HFs development by activating Wnt/β-catenin signaling pathway. These results suggest that the treatment of propolis strongly promotes hair growth by stimulating the development of HFs via activation of Wnt/β-catenin signaling pathway. This further indicates the potential of Philippines stingless bee propolis as a novel promising agricultural product for hair growth.
- Published
- 2023
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30. L-Fucose Suppresses Lipid Accumulation via the AMPK Pathway in 3T3-L1 Adipocytes.
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Nakao T, Otaki S, Kominami Y, Watanabe S, Ito M, Aizawa T, Akahori Y, and Ushio H
- Subjects
- Mice, Animals, 3T3-L1 Cells, Adipocytes, Insulin metabolism, Obesity drug therapy, Obesity metabolism, Lipids pharmacology, Adipogenesis, AMP-Activated Protein Kinases metabolism, Fucose metabolism
- Abstract
L-fucose (Fuc), a monosaccharide with different biological functions in various organisms, exhibits potent anti-obesity effects in obese mice. However, the mechanisms underlying its anti-obesity effects remain largely unknown. In this study, we aimed to investigate the effects of Fuc on lipid metabolism and insulin signaling in 3T3-L1 adipocytes. We found that Fuc treatment suppressed lipid accumulation during adipocyte differentiation. Additionally, Fuc treatment enhanced the phosphorylation of AMP-activated kinase (AMPK) and its downstream pathways, responsible for the regulation of fatty acid oxidation and lipolysis. Furthermore, Fuc-induced activation of the AMPK pathway was diminished by the AMPK inhibitor Compound C, and Fuc treatment considerably promoted glucose uptake via Akt activation in an insulin-resistant state. These findings provide a basis for elucidating the mechanism underlying the anti-obesity effect of Fuc, which may, in the future, be considered as a therapeutic compound for treating obesity and related diseases.
- Published
- 2023
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31. Global estimates of stress-reflecting indices reveal key climatic drivers of climate-induced forest range shifts.
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Hirata A, Kominami Y, Ohashi H, Tsuyama I, Tanaka N, Nakao K, Hijioka Y, and Matsui T
- Subjects
- Climate Change, Droughts, Temperature, Forests, Trees physiology
- Abstract
Climate change has the potential to cause forest range shifts at a broad scale and consequently can alter crucial forest functions, including carbon sequestration. However, global-scale projections of future forest range shifts remain challenging because our knowledge of the physiological responses of plants to climatic stress is limited to particular species and is insufficient for wide-range projections, in addition to the uncertainties in the impacts of non-climatic factors, such as wildfire, wind, and insect outbreaks. To evaluate the vulnerability and resilience of forests to climate change, we developed a new empirical approach using climatic indices reflecting physiological stressors on plants. We calculated the global distributions of seven indices based on primary climatic stressors (drought, solar radiation, and temperature) at high resolution. We then modeled the relationship between the seven indices and global forest extent. We found two key stressors driving climate-induced forest range shifts on a global scale: low temperature under high radiation and drought. At high latitudes of the Northern Hemisphere, forest establishment became difficult when the mean temperature was less than approximately 7.2 °C in the highest radiation quarter. Forest sensitivity to drought was more pronounced at mid-latitudes. In areas where the humidity index (ratio of precipitation to potential evapotranspiration) was below 0.45, shrubland and grassland became more dominant than forests. Our results also suggested that the impacts of climate change on global forest range shifts will be geographically biased depending on the areas affected by the key climatic stressors. Potential forest gain was remarkable in boreal regions due to increasing temperature. Potential forest loss was remarkable in current tropical grassland and temperate forest/grassland ecoregions due to increasing drought. Our approach using stress-reflecting indices could improve our ability to detect the roles of climatic stressors on climate-induced forest range shifts., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
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32. Correction to: Drought affects the fate of non-structural carbohydrates in hinoki cypress.
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Tsuji C, Dannoura M, Desalme D, Angeli N, Takanashi S, Kominami Y, and Epron D
- Published
- 2022
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33. Drought affects the fate of non-structural carbohydrates in hinoki cypress.
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Tsuji C, Dannoura M, Desalme D, Angeli N, Takanashi S, Kominami Y, and Epron D
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- Carbohydrates, Carbon metabolism, Fructose, Glucose, Plant Leaves physiology, Starch metabolism, Sugars metabolism, Trees physiology, Chamaecyparis metabolism, Droughts
- Abstract
Tree species that close stomata early in response to drought are likely to suffer from an imbalance between limited carbohydrate supply due to reduced photosynthesis and metabolic demand. Our objective was to clarify the dynamic responses of non-structural carbohydrates to drought in a water-saving species, the hinoki cypress (Chamaecyparis obtusa Sieb. et Zucc.). To this end, we pulse-labeled young trees with 13CO2 10 days after the beginning of the drought treatment. Trees were harvested 7 days later, early during drought progression, and 86 days later when they had suffered from a long and severe drought. The labeled carbon (C) was traced in phloem extract, in the organic matter and starch of all the organs, and in the soluble sugars (sucrose, glucose and fructose) of the most metabolically active organs (foliage, green branches and fine roots). No drought-related changes in labeled C partitioning between belowground and aboveground organs were observed. The C allocation between non-structural carbohydrates was altered early during drought progression: starch concentration was lower by half in the photosynthetic organs, while the concentration of almost all soluble sugars tended to increase. The preferential allocation of labeled C to glucose and fructose reflected an increased demand for soluble sugars for osmotic adjustment. After 3 months of a lethal drought, the concentrations of soluble sugars and starch were admittedly lower in drought-stressed trees than in the controls, but the pool of non-structural carbohydrates was far from completely depleted. However, the allocation to storage had been impaired by drought; photosynthesis and the sugar translocation rate had also been reduced by drought. Failure to maintain cell turgor through osmoregulation and to refill embolized xylem due to the depletion in soluble sugars in the roots could have resulted in tree mortality in hinoki cypress, though the total pool of carbohydrate was not completely depleted., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2022
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34. Peptidomic analysis characterising proteolysis in thaw-aging of beef short plate.
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Kominami Y, Hayashi T, Tokihiro T, and Ushio H
- Abstract
Recent studies have suggested that thaw-aging can improve sensory attributes of freeze-thawed meat. Acceleration of proteolysis is expected to promote tenderisation and improve taste; however, the details of protein degradation, including substrate proteins and cleavage sites, remain unclear. Here, we report a time course overview of the peptidome of beef short plates during thaw-aging. The accelerated degradation of key proteins for meat tenderisation, such as troponin T and desmin, was confirmed. Additionally, 11 cleavage sites in troponin T related to taste-active peptide generation were identified. Terminome analysis showed that the contribution of each protease varies depending on the substrate proteins and the thaw-aging period. Based on our results; proteases, not only calpains, but also others contributed to the degradation of myofibrillar proteins. The techniques employed indicate that meat proteolysis during thaw-aging is not constant but dynamic., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Author(s).)
- Published
- 2021
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35. Prediction of municipality-level winter wheat yield based on meteorological data using machine learning in Hokkaido, Japan.
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Murakami K, Shimoda S, Kominami Y, Nemoto M, and Inoue S
- Subjects
- Cities, Japan, Least-Squares Analysis, Machine Learning, Meteorology, Neural Networks, Computer, Seasons, Support Vector Machine, Triticum growth & development
- Abstract
This study analyzed meteorological constraints on winter wheat yield in the northern Japanese island, Hokkaido, and developed a machine learning model to predict municipality-level yields from meteorological data. Compared to most wheat producing areas, this island is characterized by wet climate owing to greater annual precipitation and abundant snowmelt water supply in spring. Based on yield statistics collected from 119 municipalities for 14 years (N = 1,516) and high-resolution surface meteorological data, correlation analyses showed that precipitation, daily minimum air temperature, and irradiance during the grain-filling period had significant effects on the yield throughout the island while the effect of snow depth in early winter and spring was dependent on sites. Using 10-d mean meteorological data within a certain period between seeding and harvest as predictor variables and one-year-leave-out cross-validation procedure, performance of machine learning models based on neural network (NN), random forest (RF), support vector machine regression (SVR), partial least squares regression (PLS), and cubist regression (CB) were compared to a multiple linear regression model (MLR) and a null model that returns an average yield of the municipality. The root mean square errors of PLS, SVR, and RF were 872, 982, and 1,024 kg ha-1 and were smaller than those of MLR (1,068 kg ha-1) and null model (1,035 kg ha-1). These models outperformed the controls in other metrics including Pearson's correlation coefficient and Nash-Sutcliffe efficiency. Variable importance analysis on PLS indicated that minimum air temperature and precipitation during the grain-filling period had major roles in the prediction and excluding predictors in this period (i.e. yield forecast with a longer lead-time) decreased forecast performance of the models. These results were consistent with our understanding of meteorological impacts on wheat yield, suggesting usefulness of explainable machine learning in meteorological crop yield prediction under wet climate., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2021
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36. The Effects of Brown Algae-Derived Monosaccharide L-Fucose on Lipid Metabolism in C57BL/6J Obese Mice.
- Author
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Yuan X, Nakao T, Satone H, Ohara K, Kominami Y, Ito M, Aizawa T, Ueno T, and Ushio H
- Subjects
- Adipogenesis drug effects, Adiponectin blood, Animals, Blood Glucose drug effects, Diet, High-Fat adverse effects, Lipid Metabolism drug effects, Male, Mice, Mice, Inbred C57BL, Mice, Obese, Obesity blood, Obesity etiology, Weight Gain drug effects, Anti-Obesity Agents pharmacology, Fucose pharmacology, Monosaccharides pharmacology, Obesity drug therapy, Phaeophyceae chemistry
- Abstract
Obesity is a global public health problem and a risk factor for several metabolic disorders as well as cancer. In this study, we investigated the effects of L-fucose on lipid metabolism through chronic and acute in vivo experiments in mice. In the chronic test, mice were fed a high-calorie diet (HCD) containing 0.0001%, 0.001%, 0.01%, and 0.1% L-fucose for one month. The L-fucose supplementation inhibited body weight and visceral fat mass gain in HCD-fed mice. The results of the acute test showed that L-fucose increased the ratio of serum high molecular weight adiponectin and enhanced glucose and lipid catabolism. Furthermore, L-fucose also decreased the expression of adipogenic genes (peroxisome proliferator-activated receptor γ and cluster of differentiation 36). In conclusion, this study provides a new approach to combat obesity and the related diseases.
- Published
- 2020
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37. COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data.
- Author
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Bond-Lamberty B, Christianson DS, Malhotra A, Pennington SC, Sihi D, AghaKouchak A, Anjileli H, Altaf Arain M, Armesto JJ, Ashraf S, Ataka M, Baldocchi D, Andrew Black T, Buchmann N, Carbone MS, Chang SC, Crill P, Curtis PS, Davidson EA, Desai AR, Drake JE, El-Madany TS, Gavazzi M, Görres CM, Gough CM, Goulden M, Gregg J, Gutiérrez Del Arroyo O, He JS, Hirano T, Hopple A, Hughes H, Järveoja J, Jassal R, Jian J, Kan H, Kaye J, Kominami Y, Liang N, Lipson D, Macdonald CA, Maseyk K, Mathes K, Mauritz M, Mayes MA, McNulty S, Miao G, Migliavacca M, Miller S, Miniat CF, Nietz JG, Nilsson MB, Noormets A, Norouzi H, O'Connell CS, Osborne B, Oyonarte C, Pang Z, Peichl M, Pendall E, Perez-Quezada JF, Phillips CL, Phillips RP, Raich JW, Renchon AA, Ruehr NK, Sánchez-Cañete EP, Saunders M, Savage KE, Schrumpf M, Scott RL, Seibt U, Silver WL, Sun W, Szutu D, Takagi K, Takagi M, Teramoto M, Tjoelker MG, Trumbore S, Ueyama M, Vargas R, Varner RK, Verfaillie J, Vogel C, Wang J, Winston G, Wood TE, Wu J, Wutzler T, Zeng J, Zha T, Zhang Q, and Zou J
- Subjects
- Atmosphere, Carbon Dioxide analysis, Ecosystem, Methane analysis, Nitrous Oxide analysis, Reproducibility of Results, Respiration, Soil, Greenhouse Gases analysis
- Abstract
Globally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil-to-atmosphere CO
2 flux, commonly though imprecisely termed soil respiration (RS ), is one of the largest carbon fluxes in the Earth system. An increasing number of high-frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open-source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long-term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS , the database design accommodates other soil-atmosphere measurements (e.g. ecosystem respiration, chamber-measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package., (© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)- Published
- 2020
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38. Peptidomic Analysis of a Disintegrated Surimi Gel from Deep-Sea Bonefish Pterothrissus gissu .
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Kominami Y, Nakakubo H, Nakamizo R, Matsuoka Y, Ueki N, Wan J, Watabe S, and Ushio H
- Subjects
- Animals, Fishes, Food Handling, Gels chemistry, Hot Temperature, Fish Products analysis, Peptides chemistry
- Abstract
Surimi gel is a commonly found gelled product in Japan. Disintegration of the surimi gel is mainly caused by proteolytic degradation of the myosin heavy chain (MHC) under an inappropriate heating process. Many studies have reported the decrease in MHC in the disintegrated surimi gel but the mechanistic details of this degradation remain unclear. This study employed peptidomic analysis of disintegrated surimi gels from deep-sea bonefish Pterothrissus gissu to reveal the MHC cleavage causing gel disintegration. More peptides derived from an MHC rod were found in the disintegrated P. gissu surimi gels than in the integrated gel. Most MHC peptides were derived from the Src homology 3 domain or near the skip residues. The results of the terminome analysis suggest that the catalytic type of the proteases is responsible for light meromyosin cleavage activated at ∼35 °C. These results showed the temperature-dependent cleavage of the MHC rod, causing disintegration of the P. gissu surimi gel.
- Published
- 2020
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39. Tumor-suppressing potential of stingless bee propolis in in vitro and in vivo models of differentiated-type gastric adenocarcinoma.
- Author
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Desamero MJ, Kakuta S, Tang Y, Chambers JK, Uchida K, Estacio MA, Cervancia C, Kominami Y, Ushio H, Nakayama J, Nakayama H, and Kyuwa S
- Subjects
- Animals, Bees, Cell Line, Tumor, G1 Phase Cell Cycle Checkpoints drug effects, Humans, Mice, Mice, Knockout, Resting Phase, Cell Cycle drug effects, Adenocarcinoma drug therapy, Adenocarcinoma metabolism, Adenocarcinoma pathology, Neoplasms, Experimental drug therapy, Neoplasms, Experimental metabolism, Neoplasms, Experimental pathology, Propolis pharmacology, Stomach Neoplasms drug therapy, Stomach Neoplasms metabolism, Stomach Neoplasms pathology
- Abstract
The protective property of propolis across a wide spectrum of diseases has long been realized, yet the anti-tumor efficacy of this bioactive substance from Philippine stingless bees has remained poorly understood. Here, we showed the tumor-suppressing potential of crude ethanolic extract of Philippine stingless bee propolis (EEP) in in vitro models of gastric cancer highlighting the first indication of remarkable subtype specificity towards differentiated-type human gastric cancer cell lines but not the diffuse-type. Mechanistically, this involved the profound modulation of several cell cycle related gene transcripts, which correlated with the prominent cell cycle arrest at the G0/G1 phase. To reinforce our data, a unique differentiated-type gastric cancer model, A4gnt KO mice, together with age-matched 60 week-old C57BL/6 J mice were randomly assigned to treatment groups receiving distilled water or EEP for 30 consecutive days. EEP treatment induced significant regression of gross and histological lesions of gastric pyloric tumors that consistently corresponded with specific transcriptional regulation of cell cycle components. Also, the considerable p21 protein expression coupled with a marked reduction in rapidly dividing BrdU-labeled S-phase cells unequivocally supported our observation. Altogether, these findings support the role of Philippine stingless bee propolis as a promising adjunct treatment option in differentiated-type gastric cancer.
- Published
- 2019
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40. Biodiversity can benefit from climate stabilization despite adverse side effects of land-based mitigation.
- Author
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Ohashi H, Hasegawa T, Hirata A, Fujimori S, Takahashi K, Tsuyama I, Nakao K, Kominami Y, Tanaka N, Hijioka Y, and Matsui T
- Subjects
- Amphibians, Animals, Birds, Climatic Processes, Mammals, Reptiles, Tracheophyta, Biodiversity, Climate Change, Ecosystem, Environmental Restoration and Remediation methods, Greenhouse Gases
- Abstract
Limiting the magnitude of climate change via stringent greenhouse gas (GHG) mitigation is necessary to prevent further biodiversity loss. However, some strategies to mitigate GHG emission involve greater land-based mitigation efforts, which may cause biodiversity loss from land-use changes. Here we estimate how climate and land-based mitigation efforts interact with global biodiversity by using an integrated assessment model framework to project potential habitat for five major taxonomic groups. We find that stringent GHG mitigation can generally bring a net benefit to global biodiversity even if land-based mitigation is adopted. This trend is strengthened in the latter half of this century. In contrast, some regions projected to experience much growth in land-based mitigation efforts (i.e., Europe and Oceania) are expected to suffer biodiversity loss. Our results support the enactment of stringent GHG mitigation policies in terms of biodiversity. To conserve local biodiversity, however, these policies must be carefully designed in conjunction with land-use regulations and societal transformation in order to minimize the conversion of natural habitats.
- Published
- 2019
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41. Modeling future wildlife habitat suitability: serious climate change impacts on the potential distribution of the Rock Ptarmigan Lagopus muta japonica in Japan's northern Alps.
- Author
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Hotta M, Tsuyama I, Nakao K, Ozeki M, Higa M, Kominami Y, Hamada T, Matsui T, Yasuda M, and Tanaka N
- Subjects
- Japan, Climate Change, Ecosystem
- Abstract
Background: The Rock Ptarmigan Lagopus muta japonica lives in the alpine zones of central Japan, which is the southern limit of the global distribution for this species. This species is highly dependent on alpine habitats, which are considered vulnerable to rapid climate change. This study aimed to assess the impact of climate change on potential L. muta japonica habitat based on predicted changes to alpine vegetation, to identify population vulnerability under future climatic conditions for conservation planning. We developed species distribution models, which considered the structure of the alpine ecosystem by incorporating spatial hierarchy on specific environmental factors to assess the potential habitats for L. muta japonica under current and future climates. We used 24 general circulation models (GCMs) for 2081-2100 as future climate conditions., Results: The predicted potential habitat for L. muta japonica was similar to the actual distribution of the territories in the study area of Japan's northern Alps (36.25-36.5°N, 137.5-137.7°E). Future potential habitat for L. muta japonica was projected to decrease to 0.4% of the current potential habitat in the median of occurrence probabilities under 24 GCMs, due to a decrease in alpine vegetation communities. Some potential habitats in the central and northwestern part of the study area were predicted to be sustained in the future, depending on the GCMs., Conclusions: Our model results predicted that the potential habitats for L. muta japonica in Japan's northern Alps, which provides core habitat for this subspecies, would be vulnerable by 2081-2100. Small sustainable habitats may serve as refugia, facilitating the survival of L. muta japonica populations under future climatic conditions. Impact assessment studies of the effect of climate change on L. muta japonica habitats at a nationwide scale are urgently required to establish effective conservation planning for this species, which includes identifying candidate areas for assisted migration as an adaptive strategy.
- Published
- 2019
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42. A Novel Analysis of the Peptide Terminome Characterizes Dynamics of Proteolytic Regulation in Vertebrate Skeletal Muscle Under Severe Stress.
- Author
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Kominami Y, Hayashi T, Tokihiro T, and Ushio H
- Abstract
In healthy cells, proteolysis is orderly executed to maintain basal homeostasis and normal physiology. Dyscontrol in proteolysis under severe stress condition induces cell death, but the dynamics of proteolytic regulation towards the critical phase remain unclear. Teleosts have been suggested an alternative model for the study of proteolysis under severe stress. In this study, horse mackerel ( Trachurus japonicus ) was used and exacerbated under severe stress conditions due to air exposure. Although the complete genome for T. japonicus is not available, a transcriptomic analysis was performed to construct a reference protein database, and the expression of 72 proteases were confirmed. Quantitative peptidomic analysis revealed that proteins related to glycolysis and muscle contraction systems were highly cleaved into peptides immediately under the severe stress. Novel analysis of the peptide terminome using a multiple linear regression model demonstrated profiles of proteolysis under severe stress. The results indicated a phase transition towards dyscontrol in proteolysis in T. japonicus skeletal muscle during air exposure. Our novel approach will aid in investigating the dynamics of proteolytic regulation in skeletal muscle of non-model vertebrates., Competing Interests: The authors declare no conflict of interest.
- Published
- 2019
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43. Predictors of treatment efficacy and liver stiffness changes following therapy with Sofosbuvir plus Ribavirin in patients infected with HCV genotype 2.
- Author
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Ohya K, Akuta N, Suzuki F, Fujiyama S, Kawamura Y, Kominami Y, Sezaki H, Hosaka T, Kobayashi M, Kobayashi M, Suzuki Y, Saitoh S, Arase Y, Ikeda K, and Kumada H
- Subjects
- Adult, Aged, Aged, 80 and over, Antiviral Agents adverse effects, Drug Therapy, Combination adverse effects, Drug Therapy, Combination methods, Fatty Liver pathology, Female, Genotype, Hepacivirus classification, Hepacivirus genetics, Hepatitis C, Chronic pathology, Hepatitis C, Chronic virology, Humans, Liver Cirrhosis pathology, Male, Middle Aged, Prognosis, Retrospective Studies, Ribavirin adverse effects, Sofosbuvir adverse effects, Treatment Outcome, Young Adult, alpha-Fetoproteins analysis, Antiviral Agents administration & dosage, Hepacivirus isolation & purification, Hepatitis C, Chronic drug therapy, Liver pathology, Ribavirin administration & dosage, Sofosbuvir administration & dosage, Sustained Virologic Response
- Abstract
While the combination therapy of ribavirin (RBV) and sofosbuvir (SOF) is effective in genotype 2 HCV infection, the predictors of treatment efficacy and posttreatment changes in α-fetoprotein (AFP) and liver stiffness (markers of hepatocellular carcinoma), remain unclear. In this study, 302 patients with chronic HCV genotype 2 infection were treated with SOF (400 mg) plus RBV (400-1000 mg; based on body weight) for 12 weeks. We evaluated the efficacy and safety of treatment, as well as measured serum AFP, liver stiffness, and controlled attenuation parameter (CAP, a surrogate marker of steatosis) at baseline and within 48 weeks of treatment completion. The intention-to-treat analysis showed a sustained virological response (SVR) rate of 95.7%. None of the patients discontinued treatment due to side effects. Multivariate analysis identified pretreatment (no treatment with interferon), level of AFP (AFP; <10 μg/L), and RBV/body weight (BW) ratio (≥9.0 mg/kg) as independent predictors of SVR. The SVR rate in patients with two predictors of poor response (AFP ≥10 μg/L and RBV/BW ratio <9.0 mg/kg) was significantly lower than in other patients. In the SVR group, posttreatment AFP level and liver stiffness were significantly lower than at baseline. CAP tended to be higher after treatment than at baseline in all patients. SOF plus RBV combination therapy achieved a high SVR rate and was safe in HCV genotype 2 infected patients. Treatment reduced AFP levels and improved liver stiffness, but increased CAP., (© 2018 Wiley Periodicals, Inc.)
- Published
- 2018
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44. Serial changes in liver stiffness and controlled attenuation parameter following direct-acting antiviral therapy against hepatitis C virus genotype 1b.
- Author
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Ogasawara N, Kobayashi M, Akuta N, Kominami Y, Fujiyama S, Kawamura Y, Sezaki H, Hosaka T, Suzuki F, Saitoh S, Suzuki Y, Arase Y, Ikeda K, Kobayashi M, and Kumada H
- Subjects
- Adult, Aged, Aged, 80 and over, Carbamates, Elasticity Imaging Techniques, Female, Hepacivirus genetics, Hepatitis C, Chronic virology, Humans, Imidazoles therapeutic use, Isoquinolines therapeutic use, Longitudinal Studies, Male, Middle Aged, Pyrrolidines, Retrospective Studies, Sulfonamides therapeutic use, Sustained Virologic Response, Treatment Outcome, Valine analogs & derivatives, Antiviral Agents therapeutic use, Genotype, Hepacivirus classification, Hepatitis C, Chronic drug therapy, Hepatitis C, Chronic pathology, Liver pathology
- Abstract
Little information is available on the impact of direct-acting antiviral (DAA) therapy on changes in liver fibrosis and steatosis. Liver stiffness (LS) and controlled attenuation parameter (CAP) values were evaluated using transient elastography. The study subjects were 214 elderly patients infected with HCV genotype 1b who received 24-week daclatasvir and asunaprevir dual therapy. All patients of this retrospective study had no hepatocellular carcinoma before and during DAA therapy. LS and CAP were assessed before treatment (baseline), at end of treatment (EOT), and at 24, 48, 72 weeks (W) after EOT. The rate of sustained viral response (SVR) by daclatasvir and asunaprevir therapy was 91%. LS values for the entire group correlated with Fib-4 index at baseline (r = 0.565, P < 0.001). LS in both chronic hepatitis group (Fib-4 index <3.25) and cirrhosis group (Fib-4 index ≥3.25) decreased significantly at each time point compared with baseline (P < 0.001). Especially, a larger decrease in LS from baseline to EOT was seen in the cirrhosis group than chronic hepatitis group (P < 0.001). LS was also significantly lower in the SVR group at EOT, 24W, 48W, 72W compared with baseline (P < 0.001). Even in the non-SVR group, LS tended to be lower at EOT (P = 0.039), 24W (P = 0.009), 48W (P = 0.475), 72W (P = 0.033) compared with baseline. CAP increased significantly following the treatment from baseline to 48W post-EOT (P = 0.018). Our results showed significant improvement in LS in response to daclatasvir and asunaprevir dual therapy. In the other hand, there was a tendency that CAP increased from baseline., (© 2017 Wiley Periodicals, Inc.)
- Published
- 2018
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45. Direct-Acting Antivirals Decreased Tumor Recurrence After Initial Treatment of Hepatitis C Virus-Related Hepatocellular Carcinoma.
- Author
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Ikeda K, Kawamura Y, Kobayashi M, Kominami Y, Fujiyama S, Sezaki H, Hosaka T, Akuta N, Saitoh S, Suzuki F, Suzuki Y, Arase Y, and Kumada H
- Subjects
- Adult, Aged, Aged, 80 and over, Antiviral Agents adverse effects, Carcinoma, Hepatocellular mortality, Carcinoma, Hepatocellular pathology, Carcinoma, Hepatocellular virology, Drug Administration Schedule, Female, Hepatitis C complications, Hepatitis C diagnosis, Hepatitis C mortality, Humans, Kaplan-Meier Estimate, Liver Neoplasms mortality, Liver Neoplasms pathology, Liver Neoplasms virology, Male, Middle Aged, Neoplasm Staging, Proportional Hazards Models, Retrospective Studies, Risk Factors, Time Factors, Treatment Outcome, Antiviral Agents administration & dosage, Carcinoma, Hepatocellular therapy, Catheter Ablation adverse effects, Catheter Ablation mortality, Chemoembolization, Therapeutic adverse effects, Chemoembolization, Therapeutic mortality, Hepatectomy adverse effects, Hepatectomy mortality, Hepatitis C drug therapy, Liver Neoplasms therapy, Neoplasm Recurrence, Local
- Abstract
Background: Suppressive activity of recurrence by interferon-free direct-acting antivirals (DAA) is not elucidated after curative treatment of hepatocellular carcinoma (HCC)., Patients and Methods: A total of 177 patients received DAA after curative manners of HCC: 89 patients underwent DAA therapy after initial HCC treatment, and the other 88 patients after repeated therapy of 2-10 times. Among a cohort of HCC patients with surgery and radiofrequency ablation, 89 patients were chosen adjusting age, gender, and Barcelona Clinic Liver Cancer (BCLC) staging with 89 patients with initial HCC therapy., Results: HCC recurrence rates at the end of first and second year were 18.1 and 22.1% in patients with once of HCC therapy, 28.2 and 41.6% in those with 2-3 times of therapy, and 60.2 and 74.5% in those with 4 or more times of therapy, respectively (P < 0.0001). Recurrence rates were compared between 89 patients with DAA therapy after initial HCC therapy and 89 age-, gender-, and BCLC staging-matched patients without antiviral therapy after initial HCC therapy. HCC recurrence rates at first and second year were 18.1 and 25.0% in patients with DAA therapy and 21.8 and 46.5% in those without DAA therapy, respectively (P = 0.003). Multivariate analysis showed DAA therapy significantly decreased recurrence rate with a hazard ratio of 0.353 (confidence interval: 0.191-0.651) after adjustment with covariates of tumor multiplicity, alpha-fetoprotein value, and prothrombin time., Conclusions: DAA therapy significantly decreased recurrence rate when it was performed after initial HCC therapy.
- Published
- 2017
- Full Text
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46. Potential distribution of pine wilt disease under future climate change scenarios.
- Author
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Hirata A, Nakamura K, Nakao K, Kominami Y, Tanaka N, Ohashi H, Takano KT, Takeuchi W, and Matsui T
- Subjects
- Climate, Ecosystem, Forests, Temperature, Climate Change, Models, Theoretical, Pinus growth & development, Plant Diseases
- Abstract
Pine wilt disease (PWD) constitutes a serious threat to pine forests. Since development depends on temperature and drought, there is a concern that future climate change could lead to the spread of PWD infections. We evaluated the risk of PWD in 21 susceptible Pinus species on a global scale. The MB index, which represents the sum of the difference between the mean monthly temperature and 15 when the mean monthly temperatures exceeds 15°C, was used to determine current and future regions vulnerable to PWD (MB ≥ 22). For future climate conditions, we compared the difference in PWD risks among four different representative concentration pathways (RCPs 2.6, 4.5, 6.0, and 8.5) and two time periods (2050s and 2070s). We also evaluated the impact of climate change on habitat suitability for each Pinus species using species distribution models. The findings were then integrated and the potential risk of PWD spread under climate change was discussed. Within the natural Pinus distribution area, southern parts of North America, Europe, and Asia were categorized as vulnerable regions (MB ≥ 22; 16% of the total Pinus distribution area). Representative provinces in which PWD has been reported at least once overlapped with the vulnerable regions. All RCP scenarios showed expansion of vulnerable regions in northern parts of Europe, Asia, and North America under future climate conditions. By the 2070s, under RCP 8.5, an estimated increase in the area of vulnerable regions to approximately 50% of the total Pinus distribution area was revealed. In addition, the habitat conditions of a large portion of the Pinus distribution areas in Europe and Asia were deemed unsuitable by the 2070s under RCP 8.5. Approximately 40% of these regions overlapped with regions deemed vulnerable to PWD, suggesting that Pinus forests in these areas are at risk of serious damage due to habitat shifts and spread of PWD.
- Published
- 2017
- Full Text
- View/download PDF
47. Relationship between fine-root exudation and respiration of two Quercus species in a Japanese temperate forest.
- Author
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Sun L, Ataka M, Kominami Y, and Yoshimura K
- Subjects
- Forests, Japan, Plant Exudates analysis, Rhizosphere, Soil chemistry, Soil Microbiology, Trees, Carbon Cycle, Plant Roots physiology, Quercus physiology
- Abstract
Plants allocate a considerable amount of carbon (C) to fine roots as respiration and exudation. Fine-root exudation could stimulate microbial activity, which further contributes to soil heterotrophic respiration. Although both root respiration and exudation are important components of belowground C cycling, how they relate to each other is less well known. In this study, we aimed to explore this relationship on mature trees growing in the field. The measurements were performed on two canopy species, Quercus serrata Thunb. and Quercus glauca, in a warm temperate forest. The respiration and exudation rates of the same fine-root segment were measured in parallel with a syringe-basis incubation and a closed static chamber, respectively. We also measured root traits and ectomycorrhizal colonization ratio because these indexes commonly relate to root respiration and reflect root physiology. The microbial activity enhanced by root exudation was investigated by comparing the dissolved organic carbon (DOC) and microbial biomass carbon (MBC) between rhizosphere soils and bulk soils. Mean DOC concentration and MBC were ca two times higher in the rhizosphere soils and positively related to exudation rates, indicating that exudation further relates to the C dynamics in the soils. Flux rates of exudation and respiration were positively correlated with each other. Both root exudation and respiration rates positively related to ectomycorrhizal colonization and root tissue nitrogen, and therefore the relationship between the two fluxes may be attributed to fine-root activity. The flux rates of root respiration were 8.7 and 10.5 times as much as those of exudation on a root-length basis and a root-weight basis, respectively. In spite of the fact that flux rates of respiration and exudation varied enormously among the fine-root segments of the two Quercus species, exudation was in proportion to respiration. This result gives new insight into the fine-root C-allocation strategy and the belowground C dynamics., (© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2017
- Full Text
- View/download PDF
48. Anti-barnacle Activity of Isocyanides Derived from Amino Acids.
- Author
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Fukuda T, Wagatsuma H, Kominami Y, Nogata Y, Yoshimura E, Chiba K, and Kitano Y
- Subjects
- Animals, Cyanides chemistry, Cyanides isolation & purification, Molecular Structure, Amino Acids chemistry, Biofouling prevention & control, Cyanides pharmacology, Thoracica drug effects
- Abstract
Creation of new potent antifouling active compounds is important for the development of environmentally friendly antifouling agents. Fifteen isocyanide congeners derived from proteinogenic amino acids were synthesized, and the antifouling activity and toxicity of these compounds against cypris larvae of the barnacle Balanus amphitrite were investigated. All synthesized amino acid-isocyanides exhibited potent anti-barnacle activity with EC
50 values of 0.07 - 10.34 μg/ml after 120 h exposure without significant toxicity. In addition, seven compounds showed more than 95% settlement inhibition of the cypris larvae at 10 μg/ml after 120 h exposure without any mortality observed. Considering their structure, these amino acid-isocyanides would eventually be biodegraded to their original nontoxic amino acids. These should be useful for further research focused on the development of environmentally friendly antifoulants., (© 2016 Wiley-VHCA AG, Zurich, Switzerland.)- Published
- 2016
- Full Text
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49. Land abandonment and changes in snow cover period accelerate range expansions of sika deer.
- Author
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Ohashi H, Kominami Y, Higa M, Koide D, Nakao K, Tsuyama I, Matsui T, and Tanaka N
- Abstract
Ongoing climate change and land-use change have the potential to substantially alter the distribution of large herbivores. This may result in drastic changes in ecosystems by changing plant-herbivore interactions. Here, we developed a model explaining sika deer persistence and colonization between 25 years in terms of neighborhood occupancy and habitat suitability. We used climatic, land-use, and topographic variables to calculate the habitat suitability and evaluated the contributions of the variables to past range changes of sika deer. We used this model to predict the changes in the range of sika deer over the next 100 years under four scenario groups with the combination of land-use change and climate change. Our results showed that both climate change and land-use change had affected the range of sika deer in the past 25 years. Habitat suitability increased in northern or mountainous regions, which account for 71.6% of Japan, in line with a decrease in the snow cover period. Habitat suitability decreased in suburban areas, which account for 28.4% of Japan, corresponding to land-use changes related to urbanization. In the next 100 years, the decrease in snow cover period and the increase in land abandonment were predicted to accelerate the range expansion of sika deer. Comparison of these two driving factors revealed that climate change will contribute more to range expansion, particularly from the 2070s onward. In scenarios that assumed the influence of both climate change and land-use change, the total sika deer range increased by between +4.6% and +11.9% from the baseline scenario. Climate change and land-use change will require additional efforts for future management of sika deer, particularly in the long term.
- Published
- 2016
- Full Text
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50. Increased phytotoxic O3 dose accelerates autumn senescence in an O3-sensitive beech forest even under the present-level O3.
- Author
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Kitao M, Yasuda Y, Kominami Y, Yamanoi K, Komatsu M, Miyama T, Mizoguchi Y, Kitaoka S, Yazaki K, Tobita H, Yoshimura K, Koike T, and Izuta T
- Abstract
Ground-level ozone (O3) concentrations are expected to increase over the 21(st) century, especially in East Asia. However, the impact of O3 has not been directly assessed at the forest level in this region. We performed O3 flux-based risk assessments of carbon sequestration capacity in an old cool temperate deciduous forest, consisting of O3-sensitive Japanese beech (Fagus crenata), and in a warm temperate deciduous and evergreen forest dominated by O3-tolerant Konara oak (Quercus serrata) based on long-term CO2 flux observations. On the basis of a practical approach for a continuous estimation of canopy-level stomatal conductance (Gs), higher phytotoxic ozone dose above a threshold of 0 uptake (POD0) with higher Gs was observed in the beech forest than that in the oak forest. Light-saturated gross primary production, as a measure of carbon sequestration capacity of forest ecosystem, declined earlier in the late growth season with increasing POD0, suggesting an earlier autumn senescence, especially in the O3-sensitive beech forest, but not in the O3-tolerant oak forest.
- Published
- 2016
- Full Text
- View/download PDF
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