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48 results on '"Ooba, Makoto"'

7. Spatial dataset on global forest loss and gain across decades from 1960 to 2019

Author

Estoque, Ronald C., Dasgupta, Rajarshi, Winkler, Karina, Avitabile, Valerio, Johnson, Brian A., Myint, Soe W., Gao, Yan, Ooba, Makoto, Murayama, Yuji, Lasco, Rodel D., Estoque, Ronald C., Dasgupta, Rajarshi, Winkler, Karina, Avitabile, Valerio, Johnson, Brian A., Myint, Soe W., Gao, Yan, Ooba, Makoto, Murayama, Yuji, and Lasco, Rodel D.

Abstract

This spatial dataset was used for creating Fig. 1a in the following research article. Estoque RC, Dasgupta R, Winkler K, Avitabile V, Johnson BA, Myint SW, Gao Y, Ooba M, Murayama Y, and Lasco RD (2022). Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory. Environmental Resesearch Letters, 17:084022. https://doi.org/10.1088/1748-9326/ac7df5, This spatial dataset was used for creating Fig. 1a in the following research article. Estoque RC, Dasgupta R, Winkler K, Avitabile V, Johnson BA, Myint SW, Gao Y, Ooba M, Murayama Y, and Lasco RD (2022). Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory. Environmental Resesearch Letters, 17:084022. https://doi.org/10.1088/1748-9326/ac7df5

Published
2024

26. Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory

Author

Estoque, Ronald C., Dasgupta, Rajarshi, Winkler, Karina, Avitabile, Valerio, Johnson, Brian A., Myint, Soe W., Gao, Yan, Ooba, Makoto, Murayama, Yuji, Lasco, Rodel D., Estoque, Ronald C., Dasgupta, Rajarshi, Winkler, Karina, Avitabile, Valerio, Johnson, Brian A., Myint, Soe W., Gao, Yan, Ooba, Makoto, Murayama, Yuji, and Lasco, Rodel D.

Abstract

Forest ecosystems play an indispensable role in addressing various pressing sustainability and social-ecological challenges such as climate change and biodiversity loss. However, global forest loss has been, and still is today, an important issue. Here, based on spatially explicit data, we show that over the past 60 years (1960-2019), the global forest area has declined by 81.7 million ha (i.e. 10% more than the size of the entire Borneo island), with forest loss (437.3 million ha) outweighing forest gain (355.6 million ha). With this forest decline and the population increase (4.68 billion) over the period, the global forest per capita has decreased by over 60%, from 1.4 ha in 1960 to 0.5 ha in 2019. The spatiotemporal pattern of forest change supports the forest transition theory, with forest losses occurring primarily in the lower income countries in the tropics and forest gains in the higher income countries in the extratropics. Furthermore, economic growth has a stronger association with net forest gain than with net forest loss. Our results highlight the need to strengthen the support given to lower income countries, especially in the tropics, to help improve their capacity to minimize or end their forest losses. To help address the displacement of forest losses to the lower income countries in the tropics, higher income nations need to reduce their dependence on imported tropical forest products.

Published
2022

35. Microstructure and giant magnetoresistance of Co-Cu granular films fabricated under the extremely clean sputtering process

Author

Tsunoda, Masakiyo, Okuyama, Kentaro, Ooba, Makoto, and Takahashi, Migaku

Subjects
Thin films -- Magnetic properties, Sputtering (Physics) -- Observations, Physics
Abstract

Co-Cu alloy films were prepared by altering the purity of the sputtering atmosphere, with the aim of clarifying the influence of contaminating impurities obtained during the deposition process. The correlation between microstructure and giant magnetoresistance (GMR) was investigated. It is concluded that regulated impurity concentration is necessary to control the precipitation process.

Published
1998

48. Multicenter Investigation of the Effective Dose for Whole-body CT Scanning.

Author

Sato T, Saito Y, Saito N, and Ooba M

Subjects
Female, Humans, Manikins, Phantoms, Imaging, Radiation Dosage, Tomography, X-Ray Computed methods
Abstract

Objective: To study whether the actual radiation exposure is different between computed tomography (CT) scanners and medical centers when the same patient is scanned, we investigated the actual effective doses for a whole body (Chest-Pelvis) CT scan in a multicenter study., Materials and Methods: Data from subjects were collected using 12 CT scanners at six medical centers in Yamagata city. Effective-dose data were acquired by scanning the same phantom (ATOM Dosimetry Phantoms Model702-B) using 120 kV tube voltage. Effective doses were calculated using corrected data from a radiophotoluminescent glass dosimeter (GD-302M). GD-302M had energy- dependent issues, which needed to be corrected. Also, differences in sensitivity based on arrangement within the phantom were insignificant., Results: The mean effective energy was 48.6 keV (range, 42.5-55.4 keV), and the mean effective dose was 16.3 mSv (range, 8.9-26.0 mSv). The mean effective dose with a hybrid type iterative reconstruction was 10.7 mSv (range, 8.9-16.4 mSv), but the mean effective dose without any iterative reconstruction was 20.3 mSv (range, 16.2-26.0 mSv). We found an approximate linear correlation between dose length product (DLP) on operation consoles and the effective dose., Conclusion: We suggest that the actual radiation exposure was different at each medical center when the same patient is scanned.

Published
2017
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