Critical topographic threshold of gully erosion in Yuanmou Dry-hot Valley in Southwestern China

2013 ◽  
Vol 34 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Yifan Dong ◽  
Donghong Xiong ◽  
Zheng’an Su ◽  
Jiajia Li ◽  
Dan Yang ◽  
...  
2019 ◽  
Vol 187 ◽  
pp. 72-84 ◽  
Author(s):  
Li Rong ◽  
Xingwu Duan ◽  
Guangli Zhang ◽  
Zhijia Gu ◽  
Detai Feng

2021 ◽  
Author(s):  
maryam zare ◽  
Majid soufi ◽  
Masoud Nejabat ◽  
Hamid reza Pourghasemi

Abstract The topographic threshold is based on the power relationship between area and slope and is widely applied in gully-erosion research; however, this relationship requires further testing. Accordingly, the Alamarvdasht Lamerd and Fadagh Larestan regions in Fars Province, Iran, were selected as case studies to explore the topographic threshold for gullies. Thirty active gullies were identified in each study area during field surveys, and data describing land use and land cover, drainage areas, slope, and the physical and chemical properties of the soils were assembled. Multivariate analysis was conducted using SPSS to determine the effects of these factors. Using the power relationship between the catchment area and slope for each gully, the analyses explored critical controls for gully development. The results showed that surface runoff was the most significant effective factor for gullies in the study areas. Sparse ground cover, fine-textured soils, and inappropriate land use all contribute to gully development. The results suggest that the relationship between slope and drainage area in the Fadagh Larestan case study is S = 0.0192 A− 0.159 for gully headcut areas and S = 0.0181 A− 0.258 at gully outlets. The corresponding values of the exponent β at the gully headcuts and outlets at Fadagh were − 0.15, and- 0.25, respectively. The corresponding relationships for gullies in the Alamarvdasht Lamerd area for the gully headcuts and outlets were S = 0.0143 A− 0.061 and S = 0.0073 A− 0. 18, respectively, with β values of -0.06 and − -0.18. This study provides a basis for determining the thresholds for the initiation of gully development. Analyses of the effective factors provide clues to improve the management of bare lands to prevent the initiation of gully erosion.


2020 ◽  
Vol 81 ◽  
pp. 1-14
Author(s):  
M Keyimu ◽  
Z Li ◽  
Y Zhao ◽  
Y Dong ◽  
B Fu ◽  
...  

Historical temperature reconstructions at high altitudes are still insufficient in southwestern China, which is considered one of the most sensitive areas to climate change in the world. Here we developed a tree ring-width chronology of Faxon fir Abies fargesii var. faxoniana at the upper timber line on Zhegu Mountain, Miyaluo Scenic Area, western Sichuan, China. The climate-tree growth relationship analysis indicated temperature as the dominant regulator on radial tree growth in this region. The reconstruction of aggregated maximum temperature (TMX) of autumn and winter for the period 1856-2016 was achieved with a linear regression model that accounted for 43.6% of the actual variability in the common time series (1954-2016). The reconstruction identified 4 warm periods and 3 cold periods. Similarities of warm and cold periods with previously published reconstructions from nearby sites indicated the reliability of our reconstruction. The significant positive correlation between TMX reconstruction and the Asian-Pacific Oscillation index and the Atlantic Multi-decadal Oscillation index suggested a linkage between large-scale climate circulations and the thermal variability at a multi-decadal scale on the western Sichuan Plateau. We also found that solar activity exerted a strong influence on decadal temperature variability in this region. The cold periods were matched well with historical large volcanic eruptions. Our results strengthen the historical climatic information in southwestern China and contribute to further understanding the regional thermal variability as well as its driving mechanism.


2016 ◽  
Author(s):  
Jamie Kincheloe ◽  
◽  
A. Nandi ◽  
Ingrid Luffman

2019 ◽  
Author(s):  
Paige N. Monyak ◽  
◽  
Sophia Maffie ◽  
Alexandra Grande ◽  
Emily A. Bermudez ◽  
...  

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