Koichiro Harada
Miyagi University
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Featured researches published by Koichiro Harada.
Arctic, Antarctic, and Alpine Research | 2015
Kenji Narita; Koichiro Harada; Kazuyuki Saito; Yuki Sawada; Masami Fukuda; Shiro Tsuyuzaki
Abstract The recovery of tundra vegetation and the depth of permafrost thaw were observed on the Seward Peninsula, Alaska, the site of a wildfire in 2002. The study compared the vegetation in burned and adjacent unburned tundra from 5 to 10 years post-fire. The effects of the fire on the vegetation varied between species and were spatially variable at the stand scale. The cover of evergreen shrubs, bryophytes, and lichens was still drastically decreased 5 years after the fire and had not recovered even 10 years after the fire. By contrast, the cover of graminoids, especially Eriophorum vaginatum, and of the deciduous shrub Vaccinium uliginosum increased. The depth of permafrost thaw increased, and its spatial pattern was related to vegetation structure; specifically, deeper thaw corresponded to graminoid-rich areas, and shallower thaw corresponded to shrub-rich areas. As the E. vaginatum cover increased, the thaw depth recovered to that of the unburned area, and the spatial variation had disappeared 10 years after the fire. Our results indicate that both the prefire vegetation structure and the differences in the regrowth properties between species play important roles in the early stage of tundra ecosystem recovery after wildfire. Our findings also show that the favorable growing conditions related to deeper thaw do not last long.
Journal of remote sensing | 2015
Keiji Kushida; Satoru Hobara; Shiro Tsuyuzaki; Yongwon Kim; Manabu Watanabe; Yudi Setiawan; Koichiro Harada; Gaius R. Shaver; Masami Fukuda
The relationships among in situ spectral indices, phytomass, plant functional types, and productivity were determined through field observations of moist acidic tundra (MAT), moist non-acidic tundra (MNT), heath tundra (HT), and sedge-shrub tundra (SST) in the Arctic coastal tundra, Alaska, USA. The two-band enhanced vegetation index (EVI2) was found more useful for estimating vascular plant green phytomass, leaf carbon and nitrogen, leaf carbon and nitrogen turnover, and vascular plant net primary productivity (NPP) without root production than the normalized difference vegetation index (NDVI). Deciduous shrub green phytomass was strongly correlated with deciduous shrub index (DSI), defined as EVI2 × (Rblue + Rgreen – Rred)/(Rblue + Rgreen + Rred) (with a coefficient of determination (R2) of 0.63). Rblue, Rgreen, and Rred denote the blue, green, and red bands, respectively. This is because Rblue and Rgreen values were higher than the Rred values for green leaves, deciduous shrub stems, lichens, and rocks compared with other ecosystem components, and EVI2 values of lichens and rocks were very low. The vascular plant NPP without root production was estimated with an R2 of 0.67 using DSI and EVI2. Our results offer empirical evidence that a new spectral index predicts the distribution of deciduous shrub and plant production, which influences the interactions between tundra ecosystems and the atmosphere.
Journal of Geophysical Research | 2016
Go Iwahana; Koichiro Harada; Masao Uchida; Shiro Tsuyuzaki; Kazuyuki Saito; Kenji Narita; Keiji Kushida; Larry D. Hinzman
Geomorphological and thermo-hydrological changes to tundra, caused by a wildfire in 2002 on the central Seward Peninsula of Alaska, were investigated as a case study for understanding the response from ice-rich permafrost terrain to surface disturbance. Frozen and unfrozen soil samples were collected at burned and unburned areas, and then water isotope geochemistry and cryostratigraphy of the active layer and near-surface permafrost were analyzed to investigate past hydrological and freeze/thaw conditions, and how this information could be recorded within the permafrost. The development of thermokarst subsidence due to ice-wedge melting after the fire was clear from analyses of historical sub-meter-resolution remote sensing imagery, long-term monitoring of thermo-hydrological conditions within the active layer, in-situ surveys of micro-relief, and geochemical signals recorded in the near-surface permafrost. The resulting polygonal relief coincided with depression lines along an underground ice-wedge network, and cumulative subsidence to 2013 was estimated as at least 10.1 to 12.1 cm (0.9-1.1 cm/year eleven-year average). Profiles of water geochemistry in the ground indicated mixing or replenishment of older permafrost water with newer meteoric water, as a consequence of the increase in active layer thickness due to wildfire or past thaw event. Our geocryological analysis of cores suggests that permafrost could be used to reconstruct the permafrost degradation history for the study site. Distinct hydrogen and oxygen isotopic compositions above the Global Meteoric Water Line were found for water from these sites where permafrost degradation with geomorphological change and prolonged surface inundation were suggested.
international geoscience and remote sensing symposium | 2011
Manabu Watanabe; Keiji Kushida; Koichiro Harada; Masami Fukuda; Motoyuki Sato
We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Ohs semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization data observed in summer is used to estimate the moisture level of the active layer of the permafrost. The moisture levels estimated from PALSAR data moderately matched with those of validation data taken in the field, while the surface roughness value shows some difference. The possible cause of this difference is that the surface roughness derived from the field data collection represents the roughness of the top of the sphagnum moss layer covered on the active layer of the permafrost, while the one estimated from PALSAR represents the roughness of the underlying active layer of the permafrost.
Journal of Geophysical Research | 2006
Kenji Yoshikawa; C. Leuschen; Atsushi Ikeda; Koichiro Harada; Prasad Gogineni; P. Hoekstra; Larry D. Hinzman; Y. Sawada; Norikazu Matsuoka
Permafrost and Periglacial Processes | 2006
Koichiro Harada; Kazushige Wada; Tetsuo Sueyoshi; Masami Fukuda
Ecological Research | 2013
Shiro Tsuyuzaki; Kenji Narita; Yuki Sawada; Koichiro Harada
Journal of Geophysical Research | 2016
Go Iwahana; Koichiro Harada; Masao Uchida; Shiro Tsuyuzaki; Kazuyuki Saito; Kenji Narita; Keiji Kushida; Larry D. Hinzman
2015 AGU Fall Meeting | 2015
Koichiro Harada
Japan Geoscience Union | 2014
Tetsuo Sueyoshi; Kazuyuki Saito; Mamoru Ishikawa; Koichiro Harada; Go Iwahana