Prehispanic Archeology, Ethnohistory, and Soil Erosion: A Debate Over Modern Agricultural Sustainability

1994 ◽  
Vol 14 (49) ◽  
pp. 16-20 ◽  
Author(s):  
Helen P. Pollard
Author(s):  
Asma Ali ◽  
Simone Perna

Indicators are being used in many agricultural sustainability assessment methods, but disputes about a common indicator for the definition of sustainability have resulted in so many various indicators and methods of measurement. The objective of this review is to provide a bibliometric analysis of sustainability pillars and indicators that has been widely applied. In addition, this paper evaluates the impact of pillars and indicators on scientific research through the analysis of their citation and trend. Using Scopus database, a total of 30 articles have been selected. The search revealed more than 500 indicators, and the top 3 indicators of each pillar which were considered in 7 articles or more are (soil erosion, crop diversity and pesticides) for environmental pillar, (education and training) for social pillar are and (Profitability, productivity and farm income) for economic pillar. Results showed that the environmental pillar is the most tackled in terms of the number of articles (n=22) and the most cited with a mean citation of about 60. The pesticide is the oldest indicator in terms of its average year of publication in 2011, the most cited indicator of more than 250 in 2005 and has the highest mean citation of about 42. The least cited indicators are farm income and training with less than 10 mean citation. Nowadays, the economic pillar is considered one of the most discussed and widely implemented with a total of 7 published articles in 2020.


Anthropocene ◽  
2017 ◽  
Vol 17 ◽  
pp. 13-29 ◽  
Author(s):  
T. Vanwalleghem ◽  
J.A. Gómez ◽  
J. Infante Amate ◽  
M. González de Molina ◽  
K. Vanderlinden ◽  
...  

Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 113 ◽  
Author(s):  
Xiaoliang Han ◽  
Peiyi Lv ◽  
Sen Zhao ◽  
Yan Sun ◽  
Shiyu Yan ◽  
...  

The Gully Land Consolidation Project (GLCP) was launched to create more arable land by excavating soil from the slopes on both sides of gullies, combined with simultaneous comprehensive gully prevention and control measures. The purpose of the GLCP is to increase crop production and reduce soil erosion to achieve ecological and agricultural sustainability. In this study, we assess the effects of the GLCP on soil erosion and crop production by studying the BaoChengGou Watershed in the Loess Plateau, primarily by means of high spatial-resolution satellite images (taken by the GF-1 and ZY-3 satellites) combined with the InVEST model and field investigations. Sloping cropland, sparse forestland, and natural grassland are the main land use types in the study area. After implementing the GLCP, consolidated land in the cropland increased by 7.35%, an increase that has come largely at the expense of grassland and forestland. The GLCP has markedly reduced soil erosion in the BaoChengGou Watershed, especially in the sense that soil erosion intensity was also reduced significantly in the project region on the whole, despite intensifying in certain places, such as excavated slopes; furthermore, it has improved crop yields in the study area by 10.9%. Comprehensive measurement shows the GLCP to be scientific, reasonable, and clearly efficacious. This study presents findings regarding the positive significance of the GLCP in promoting ecological and agricultural sustainability in the Loess Plateau.


Author(s):  
Nguyễn Quang Việt ◽  
Trương Đình Trọng ◽  
Hồ Thị Nga

Vinh Linh, the northern district of Quang Tri province is characterized by a diversified topography with a large variety of elevations, high rainfall, and decreasing land cover due to forest exploiting for cultivation land. Thus, there is a high risk of erosion, soil fertility washout. With the support of GIS technology, the authors used the rMMF model to measure soil erosion. The input data of model including 15 coefficients related to topography, soil properties, climate and land cover. The simulations of rMMF include estimates of rainfall energy, runoff, soil particle detachment by raindrop, soil particle detachment by runoff, sediment transport capacity of runoff and soil loss. The result showed that amount of soil loss in year is estimated to vary between 0 kg/m2 minimum and 149 kg/m2 maximum and is divided into 4-classes of erosion. Light class almost covers the region researched (75.9% of total area), while moderate class occupies 8.1% of total area, strong classes only hold small area (16% of total area). Therefore, protection of the forest floor in sloping areas is one of the most effective methods to reduce soil erosion.


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