A new method to estimate the cover and management factor for soil loss prediction on the Loess Plateau in China: A case study using soybean field

2021 ◽  
Author(s):  
Xinli Xie ◽  
Jie Wang ◽  
Lei Hou ◽  
Jilei Wang ◽  
Zhaoqi Bin ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Soil Loss ◽  
New Method ◽  
The Loess Plateau ◽  
Soybean Field ◽  
Loss Prediction

scholarly journals A Weighted-Time-Lag Method to Detect Lag Vegetation Response to Climate Variation: A Case Study in Loess Plateau, China, 1982–2013

2021 ◽  
Vol 13 (5) ◽  
pp. 923
Author(s):  
Qianqian Sun ◽  
Chao Liu ◽  
Tianyang Chen ◽  
Anbing Zhang
Keyword(s):  
Climate Change ◽  
Loess Plateau ◽  
Time Lag ◽  
New Method ◽  
Climate Factors ◽  
The Loess Plateau ◽  
Climate Conditions ◽  
Vegetation Growth ◽  
Lag Effect

Vegetation fluctuation is sensitive to climate change, and this response exhibits a time lag. Traditionally, scholars estimated this lag effect by considering the immediate prior lag (e.g., where vegetation in the current month is impacted by the climate in a certain prior month) or the lag accumulation (e.g., where vegetation in the current month is impacted by the last several months). The essence of these two methods is that vegetation growth is impacted by climate conditions in the prior period or several consecutive previous periods, which fails to consider the different impacts coming from each of those prior periods. Therefore, this study proposed a new approach, the weighted time-lag method, in detecting the lag effect of climate conditions coming from different prior periods. Essentially, the new method is a generalized extension of the lag-accumulation method. However, the new method detects how many prior periods need to be considered and, most importantly, the differentiated climate impact on vegetation growth in each of the determined prior periods. We tested the performance of the new method in the Loess Plateau by comparing various lag detection methods by using the linear model between the climate factors and the normalized difference vegetation index (NDVI). The case study confirmed four main findings: (1) the response of vegetation growth exhibits time lag to both precipitation and temperature; (2) there are apparent differences in the time lag effect detected by various methods, but the weighted time-lag method produced the highest determination coefficient (R2) in the linear model and provided the most specific lag pattern over the determined prior periods; (3) the vegetation growth is most sensitive to climate factors in the current month and the last month in the Loess Plateau but reflects a varied of responses to other prior months; and (4) the impact of temperature on vegetation growth is higher than that of precipitation. The new method provides a much more precise detection of the lag effect of climate change on vegetation growth and makes a smart decision about soil conservation and ecological restoration after severe climate events, such as long-lasting drought or flooding.

The relative importance of soil crust and slope angle in runoff and soil loss: a case study in the hilly areas of the Loess Plateau, North China

GeoJournal ◽  
2008 ◽  
Vol 71 (2-3) ◽  
pp. 117-125 ◽  
Author(s):  
Qinjuan Cheng ◽  
Wenjun Ma ◽  
Qiangguo Cai
Keyword(s):  
Loess Plateau ◽  
Soil Loss ◽  
North China ◽  
Slope Angle ◽  
Relative Importance ◽  
Soil Crust ◽  
The Loess Plateau ◽  
Runoff And Soil Loss

Landslides triggered by excavation in the loess plateau of China: A case study of Middle Pleistocene loess slopes

2019 ◽  
Vol 171 ◽  
pp. 246-258 ◽  
Author(s):  
Jianbing Peng ◽  
Zhongjie Fan ◽  
Di Wu ◽  
Qiangbing Huang ◽  
Qiyao Wang ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Middle Pleistocene ◽  
The Loess Plateau

Flood risk analysis for flood control and sediment transportation in sandy regions: A case study in the Loess Plateau, China

2018 ◽  
Vol 560 ◽  
pp. 39-55 ◽  
Author(s):  
Aijun Guo ◽  
Jianxia Chang ◽  
Yimin Wang ◽  
Qiang Huang ◽  
Shuai Zhou
Keyword(s):  
Risk Analysis ◽  
Loess Plateau ◽  
Flood Risk ◽  
Flood Control ◽  
The Loess Plateau ◽  
Sediment Transportation ◽  
Flood Risk Analysis

Multitemporal UAV-based photogrammetry for landslide detection and monitoring in a large area: a case study in the Heifangtai terrace in the Loess Plateau of China

2020 ◽  
Vol 17 (8) ◽  
pp. 1826-1839
Author(s):  
Qiang Xu ◽  
Wei-le Li ◽  
Yuan-zhen Ju ◽  
Xiu-jun Dong ◽  
Da-lei Peng
Keyword(s):  
Loess Plateau ◽  
The Loess Plateau ◽  
Large Area

Exploring the interaction of surface roughness and slope gradient in controlling rates of soil loss from sloping farmland on the Loess Plateau of China

2019 ◽  
Vol 34 (2) ◽  
pp. 339-354
Author(s):  
Taotao Li ◽  
Longshan Zhao ◽  
Hongteng Duan ◽  
Yifan Yang ◽  
Yu Wang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Loess Plateau ◽  
Soil Loss ◽  
Slope Gradient ◽  
The Loess Plateau ◽  
Sloping Farmland
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