Monitoring long-term gully erosion and topographic thresholds in the marginal zone of the Chinese Loess Plateau

2021 ◽  
Vol 205 ◽  
pp. 104800
Author(s):  
Yabing Guan ◽  
Shengtian Yang ◽  
Changsen Zhao ◽  
Hezhen Lou ◽  
Ke Chen ◽  
...  
2021 ◽  
Vol 13 (24) ◽  
pp. 5053
Author(s):  
Jiaxi Wang ◽  
Yan Zhang ◽  
Jiayong Deng ◽  
Shuangwu Yu ◽  
Yiyang Zhao

The gully erosion process is influenced by both natural conditions and human activities on the tableland region, the Chinese Loess Plateau, which is a densely populated agricultural area with unique topography. For the purpose of assessing long-term gully growth rates, the influencing factors and potential of gully growth, KH-4B satellite images, Quickbird-2 images, and unmanned aerial vehicle (UAV) images were used to assess gully erosion from 1969 to 2019. The effects of runoff, topography and human activities were analyzed with information derived from historical and present images. Ninety-five investigated gullies were classified into four types: 45 growing, 25 stable, 21 infilled and four excavated gullies. The rates (RA) of 45 growing gullies ranged from 0.50 to 20.94 m2·yr−1, with an average of 5.66 m2·yr−1 from 1969 to 2010. The present drainage area, local slope, average drainage slope, annual runoff, and ratio of the terraced area were all significantly different between the stable and growing gullies. The long-term gully growth rate could be estimated using a nonlinear regression model with annual runoff (Qa) and the slope of the drainage area (Sd) as predictors (RA = 0.301Qa0.562Sd, R2 = 0.530). Based on the Sg-A and Sg-Qa relationship that was used to reveal the threshold conditions for gully growth, all growing gullies still have the potential to keep growing, but soil and water conservation measures, including terraces, could change the threshold condition by reducing the effective drainage area. The results of this study could be helpful for preventing further gully erosion by dealing with gullies far above the threshold line.


2018 ◽  
Vol 32 (12) ◽  
pp. 1738-1754 ◽  
Author(s):  
Zhao Jin ◽  
Li Guo ◽  
Henry Lin ◽  
Yunqiang Wang ◽  
Yunlong Yu ◽  
...  

2020 ◽  
Vol 12 (5) ◽  
pp. 793 ◽  
Author(s):  
Hu Ding ◽  
Kai Liu ◽  
Xiaozheng Chen ◽  
Liyang Xiong ◽  
Guoan Tang ◽  
...  

The Chinese Loess Plateau suffers severe gully erosion. Gully mapping is a fundamental task for gully erosion monitoring in this region. Among the different gully types in the Loess Plateau, the bank gully is usually regarded as the most important source for the generation of sediment. However, approaches for bank gully extraction are still limited. This study put forward an integrated framework, including segmentation optimization, evaluation and Extreme Gradient Boosting (XGBoost)-based classification, for the bank gully mapping of Zhifanggou catchment in the Chinese Loess Plateau. The approach was conducted using a 1-m resolution digital elevation model (DEM), based on unmanned aerial vehicle (UAV) photogrammetry and WorldView-3 imagery. The methodology first divided the study area into different watersheds. Then, segmentation by weighted aggregation (SWA) was implemented to generate multi-level segments. For achieving an optimum segmentation, area-weighted variance (WV) and Moran’s I (MI) were adopted and calculated within each sub-watershed. After that, a new discrepancy metric, the area-number index (ANI), was developed for evaluating the segmentation results, and the results were compared with the multi-resolution segmentation (MRS) algorithm. Finally, bank gully mappings were obtained based on the XGBoost model after fine-tuning. The experiment results demonstrate that the proposed method can achieve superior segmentation compared to MRS. Moreover, the overall accuracy of the bank gully extraction results was 78.57%. The proposed approach provides a credible tool for mapping bank gullies, which could be useful for the catchment-scale gully erosion process.


2021 ◽  
Author(s):  
Lijuan Jia ◽  
Zhen Wang ◽  
Lei Ji ◽  
Stefaan De Neve ◽  
C. Struik Paul ◽  
...  

Abstract Purpose Keystone taxa play an important role in soil nutrient cycling and crop growth and can be influenced by soil tillage. We investigated the composition of keystone taxa and their relationships with soil properties under different long-term tillage practices. Methods Four tillage treatments were applied (i.e., CT, conventional tillage; NT, no tillage with mulch; RT, reduced tillage; and SS, subsoiling with mulch), maintained for 21 years. Co-occurrence network (CoNet) was constructed to identify the keystone taxa, and redundancy analysis (RDA) was carried out to explore the relationships between keystone taxa and soil properties under four tillage practices at two growth stages (elongation and grain filling stages) of winter wheat. Results Compared with CT, RT had no significant effect on the microbial community and the keystone microbiome, while NT and SS remarkably altered the microbial community structure and the keystone microbiome at both crop stages. Massilia was the keystone genus under CT and RT, while Sphingomonas , Asanoa and Hoeflea were the keystone genera under NT and SS. RDA results showed that keystone genera were significantly correlated with soil organic carbon (SOC), dissolved organic carbon (DOC) and microbial biomass nitrogen (MBN) at both stages, but especially at the elongation stage. Our results further revealed that the effects of NT and SS on crop growth might be related to the changes in keystone microbiome. Conclusion Our study suggests that NT and SS were suitable conservation regimes and may contribute to the development of sustainable agricultural production in the Chinese Loess Plateau.


CATENA ◽  
2017 ◽  
Vol 148 ◽  
pp. 195-203 ◽  
Author(s):  
Zhen Li ◽  
Yan Zhang ◽  
Qingke Zhu ◽  
Song Yang ◽  
Hongjun Li ◽  
...  

2017 ◽  
Vol 9 (5) ◽  
pp. 678-687 ◽  
Author(s):  
Xiaoyun Li ◽  
Yiquan Wang ◽  
Mark E. Reynolds ◽  
Xiaoping Li ◽  
Xinwei Lu

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