Junbin Zhao
Research Scientist
Biography
My work ranges from plant level ecophysiological processes to ecosystem level carbon, water and energy balance. I am particularly interested in the impact of climate change (including relevant extreme events, e.g., drought, flooding, snow storm, etc.) on these processes and their climate feedbacks. I use many state-of-the-art techniques in my research work, including eddy covariance for ecosystem level gas exchange observations, automatic static/dynamic chambers for plot-level or whole-plant-level gas exchange measurements and machine learning models for data analysis and prediction.
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Professional appointments
2019 – present Research Scientist Norwegian Institute of Bioeconomy Research (NIBIO)
2016 – 2019 Postdoctoral associate Florida International University (FIU)
2013 – 2015 Postdoctoral researcher Swedish University of Agricultural Sciences (SLU)
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Education
2013 Ph. D University of Chinese Academy of Sciences, Beijing, China
2011 – 2012 Visiting Ph.D student Max Planck Institute for Biogeochemistry, Jena, Germany
2007 B. S. Yunnan University, Kunming, China
Authors
Palingamoorthy Gnanamoorthy Junbin Zhao Abhishek Chakraborty Pramit Kumar Deb Burman Yaoliang Chen Linjie Jiao Jing Zhang Yaqi Liu Sigamani Sivaraj Yiping Zhang Qinghai SongAbstract
Study region: The Ailaoshan National Nature Reserve forest is a mountainous water catchment area for the Lancang River basin and a subtropical ecological conservation area in southwest China. Study focus: The study aimed to understand how water fluxes in a subtropical forest responds to extreme weather disturbances and their recoveries in the post-damage years. We used eddy covariance data (2010–2019) to investigate the evapotranspiration (ET), transpiration (T), evaporation (E), and canopy conductance (Gc) before and after an extreme snow event in 2015. New Hydrological Insights: In the snow damage year, the leaf area index (LAI) decreased by 49 % compared to the pre-damage levels. The severe vegetation damage caused a significant decrease in ET, T, E, and Gc by 35 %, 36 %, 23 %, and 33 %, respectively, compared to the pre-damage levels. T returned to its pre-damage level in 2016, one year after the snow damage. In contrast, LAI, ET, E and Gc recovered to their pre-damage levels in 2018, four years after the initial damage. Reduced ET caused a strong positive RFET, which diminished forest evaporative cooling and resilience. Our results suggest that the delayed E recovery enables water reserves in the ecosystems to be used through T to support rapid understory vegetation growth. This mechanism plays critical in bolstering ecosystem resilience as it facilitates swift recovery following disturbances in subtropical forests.
Authors
Junbin Zhao Mikhail Mastepanov Carla Stadler Cornelya Klutsch Erling Fjelldal David Kniha Runar KjærAbstract
No abstract has been registered
Authors
Stacey M. Trevathan-Tackett Sebastian Kepfer-Rojas Martino Malerba Peter I. Macreadie Ika Djukic Junbin Zhao Erica B. Young Paul H. York Shin-Cheng Yeh Yanmei Xiong Gidon Winters Eilat Campus Danielle Whitlock Carolyn A. Weaver Anne Watson Inger Visby Jacek Tylkowski Allison Trethowan Scott Tiegs Ben Taylor Jozef Szpikowski Grazyna Szpikowska Victoria L. Strickland Normunds Stivrins Ana I. Sousa Sutinee Sinutok Whitney A. Scheffel Rui Santos Jonathan Sanderman Salvador Sánchez-Carrillo Joan-Albert Sanchez-Cabeza Krzysztof G. Rymer Ana Carolina Ruiz-Fernandez Bjorn J. M. Robroek Tessa Roberts Aurora M. Ricart Laura K. Reynolds Grzegorz Rachlewicz Anchana Prathep Andrew J. Pinsonneault Elise Pendall Richard J. Payne Ilze Ozola Cody Onufrock Anne Ola Steven F. Oberbauer Aroloye O. Numbere Alyssa B. Novak Joanna Norkko Alf Norkko Thomas J. Mozdzer Pam Morgan Diana I. Montemayor Charles W. Martin Sparkle L. Malone Maciej Major Mikolaj Majewski Carolyn J. Lundquist Catherine E. Lovelock Songlin Liu Hsing-Juh Lin Ana Lillebo Jinquan Li John S. Kominoski Anzar Ahmad Khuroo Jeffrey J. Kelleway Kristin I. Jinks Daniel Jerónimo Christopher Janousek Emma L. Jackson Oscar Iribarne Torrance Hanley Maroof Hamid Arjun Gupta Rafael D. Guariento Ieva Grudzinska Anderson da Rocha Gripp María A. González Sagrario Laura M. Garrison Karine Gagnon Esperança Gacia Marco Fusi Lachlan Farrington Jenny Farmer Francisco de Assis Esteves Mauricio Escapa Monika Domańska André T. C. Dias Carmen B. de los Santos Daniele Daffonchio Pawel M. Czyryca Rod M. Connolly Alexander Cobb Maria Chudzińska Bart Christiaen Peter Chifflard Sara Castelar Luciana S. Carneiro José Gilberto Cardoso-Mohedano Megan Camden Adriano Caliman Richard H. Bulmer Jennifer Bowen Christoffer Boström Susana Bernal John A. Berges Juan C. Benavides Savanna C. Barry Juha M. Alatalo Alia N. Al-Haj Maria Fernanda AdameAbstract
Patchy global data on belowground litter decomposition dynamics limit our capacity to discern the drivers of carbon preservation and storage across inland and coastal wetlands. We performed a global, multiyear study in over 180 wetlands across 28 countries and 8 macroclimates using standardized litter as measures of “recalcitrant” (rooibos tea) and “labile” (green tea) organic matter (OM) decomposition. Freshwater wetlands and tidal marshes had the highest tea mass remaining, indicating a greater potential for carbon preservation in these ecosystems. Recalcitrant OM decomposition increased with elevated temperatures throughout the decay period, e.g., increase from 10 to 20 °C corresponded to a 1.46-fold increase in the recalcitrant OM decay rate constant. The effect of elevated temperature on labile OM breakdown was ecosystem-dependent, with tidally influenced wetlands showing limited effects of temperature compared with freshwater wetlands. Based on climatic projections, by 2050 wetland decay constants will increase by 1.8% for labile and 3.1% for recalcitrant OM. Our study highlights the potential for reduction in belowground OM in coastal and inland wetlands under increased warming, but the extent and direction of this effect at a large scale is dependent on ecosystem and OM characteristics. Understanding local versus global drivers is necessary to resolve ecosystem influences on carbon preservation in wetlands.
