Hideaki Shibata CV

Photograph of Hideaki Shibata 


Hideaki Shibata


B.S. Soil Science, Hokkaido University, 1991

M.S. Soil Science, Hokkaido University, 1993

Ph.D. Soil Science, Hokkaido University, 1996


Professor, Hokkaido University, Japan

Work experience

Assistant Professor, Hokkaido University , 1996–2001

Associate Professor, Hokkaido University, 2001–2010

Professor, Hokkaido University, 2011 – present.

Fields and Interests

My research interest involves biogeochemistry, soil and water quality in forest ecosystem. I am recently working on ecosystem functions and services under changing environments, and on nitrogen footprint assessment as environment indicators of human activities. I have been involved in International Long-Term Ecological Research network (ILTER), and leading ILTER-Nitrogen initiative to foster nitrogen cycle research across ecosystems and regions.

Selected Publications (in recent five years)

Isobe K, Oka H, Watanabe T et al. (2018) High soil microbial activity in the winter season enhances nitrogen cycling in a cool-temperate deciduous forest. Soil Biology & Biochemistry (In press)

Shibata H, Galloway JN, Leach AM et al. (2017) Nitrogen footprints: Regional realities and options to reduce nitrogen loss to the environment. Ambio 46:129-142


Inoue T, Fukuzawa K et al. (2017) Spatial pattern of soil nitrogen availability and its relationship to stand structure in a coniferous-broadleaved mixed forest with a dense dwarf bamboo understory in northern Japan. Ecological Research 32:227-241

Shibata H (2016) Impact of winter climate change on nitrogen biogeochemistry in forest ecosystems: A synthesis from Japanese case studies. Ecological Indicators 65:4-9

Shibata H, Branquinho C, McDowell WH et al. (2015) Consequence of altered nitrogen cycles in the coupled human and ecological system under changing climate: The need for long-term and site-based research. Ambio 44:178-193

Shibata H, Cattaneo LR, Leach AM, Galloway JN (2014) First approach to the Japanese nitrogen footprint model to predict the loss of nitrogen to the environment. Environmental Research Letters 9:115013 (8pp)




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