Detection of dry lake beds formation and estimate of environmental regime shift in semi-arid region
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- HOSHINO Buho
- The Graduate School of Dairy Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- SOFUE Yuki
- The Graduate School of Sciences, Chiba University, Chiba, Japan
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- DEMURA Yuta
- Field Researchers Corporation CO. Ltd, Sapporo, Hokkaido, Japan
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- PUREVSUREN Tsedendamba
- The Graduate School of Dairy Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- KURIBAYASHI Morine
- The Graduate School of Dairy Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- BABA Kenji
- The Graduate School of Dairy Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- ZOLJARGAL Enkhtuvshin
- Mongolian Hydrological, Meteorological and Environmental Center of Sainshand, Mongolia
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- HAGIWARA Katsuro
- The Graduate School of Veterinary Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- NODA Jun
- The Graduate School of Veterinary Sciences, Rakuno Gakuen University, Ebetsu, Japan
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- KAWANO Keiichi
- Department of Applied Chemistry and Bioscience, Chitose Institute of Science and Technology, Chitose, Japan
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- KARTHAUS Olaf
- Department of Applied Chemistry and Bioscience, Chitose Institute of Science and Technology, Chitose, Japan
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- KAI Kenji
- Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
抄録
<p>In the Inner Asian Gobi desert, vegetation distribution mainly has annual herbs and perennial shrubs. Annual plants strongly depend on rainfall, and perennial plants can survive even in years of extreme drought. In this study, we used remote sensing method and field experiment method, to extract the area where regime shift had occurred in semi-arid region and to estimate the critical wind speed of dust emission from dry lake beds and desert steppe. Hovmoller diagrams are efficient for displaying large amounts of data in a meaningful manner. Hovmoller (time-longitude) diagrams were generated to summarize and examine the space-time features of seasonal evolution and the anomaly patterns for the entire monthly time series during 1985-2013. Because of analyzing the Hovmoller diagrams generated using vegetation index and precipitation data, NDVI values tended to increase with increasing precipitation during the vegetation growth period (VGP) between May and September. Vegetation showed high response to precipitation during the VGP. Moreover, the results of this study showed that the areas with less precipitation were more sensitive to the dynamics of precipitation than the areas with more precipitation. The most degraded area was the southwest region of Gobi with the least precipitation. The NDVI values responded to precipitation over vast areas including Inner Mongolia, China. In some areas, we estimated that the ecosystem has been destroyed and regime shift of ecosystem had occurred.</p>
収録刊行物
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- 沙漠研究
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沙漠研究 28 (S), 109-113, 2018-12-25
日本沙漠学会
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詳細情報 詳細情報について
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- CRID
- 1390564238076476416
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- NII論文ID
- 130007593725
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- ISSN
- 21891761
- 09176985
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可