Spatial Variation of Soil Organic Matter in Gully Bed with the Seabuckthorn Flexible Dam: A Case Study of EG1 in Zhun-Ge-Er County of Inner Mongolia, China

2014 ◽  
Vol 1073-1076 ◽  
pp. 619-627
Author(s):  
Fang She Yang ◽  
Shu Zhen Su ◽  
Juan Juan Zhang ◽  
Ci Fen Bi

In this paper, based on geostatistics and GIS techniques, spatial variation characteristics of soil organic matter (acronym: SOM) on a small scale were analyzed and discussed in east-one-branch gully (EG1) bed with the seabuckthorn flexible dam and the contrastive gully bed (which is non-vegetated any vegetation) located in zhun-ge-er county, Erdos, inner Mongolia, which belongs to the typical Pisha Sandstone area. The results show that the seabuckthorn can significantly increase SOM in the small catchment gully bed in the Pisha sandstone area, and the mean SOM content in gully bed with the seabuckthorn flexible dam is approximate 1.75 times that in the contrastive gully. Apparent spatial variation characteristics of SOM were found in the gully with the seabuckthorn flexible dam and the contrastive gully bed, moreover, the medium spatial autocorrelation of SOM was detected in gully bed with the seabuckthorn flexible dam, and the spatial variation of SOM was together led to by the structural and random variation at 1-6.5 m range, and of which the random variation accounts for 40%. Additional, the spatial autocorrelation of SOM in the contrastive gully bed is higher, the spatial variation of SOM was dominantly brought about by the structural variation at 1-4.5 m range, and of which the random variation accounts for 37%. Furthermore, the fractal dimension values reveal that dependence of SOM of the gully bed with the seabuckthorn flexible dam on spatial is weaker than that of the contrastive gully bed. It is judged that the seabuckthorn has an obvious effect on spatial distribution patterns and heterogeneity of SOM on a small scale.

Geoderma ◽  
2017 ◽  
Vol 304 ◽  
pp. 59-67 ◽  
Author(s):  
Chiara Cappai ◽  
Armen R. Kemanian ◽  
Alessandra Lagomarsino ◽  
Pier Paolo Roggero ◽  
Roberto Lai ◽  
...  

2003 ◽  
Vol 33 (12) ◽  
pp. 2509-2513 ◽  
Author(s):  
Brian W Benscoter ◽  
R Kelman Wieder

Fire directly releases carbon (C) to the atmosphere through combustion of biomass. An estimated 1470 ± 59 km2 of peatland burns annually in boreal, western Canada, releasing 4.7 ± 0.6 Tg C to the atmosphere via direct combustion. We quantified within-site variation in organic matter lost via combustion in a bog peatland in association with the 116 000-ha Chisholm, Alberta, fire in 2001. We hypothesized that for peatlands with considerable small-scale microtopography (bogs and treed fens), hummocks will burn less than hollows. We found that hollows exhibit more combustion than hummocks, releasing nearly twice as much C to the atmosphere. Our results suggest that spatial variability in species composition and site hydrology within a landform and across a landscape could contribute to considerable spatial variation in the amounts of C released via combustion during peatland fire, although the magnitude of this variation may be dependent on fire severity.


2021 ◽  
Author(s):  
Alex Taylor ◽  
Claire Kelly ◽  
Maarten Wynants ◽  
Aloyce Patrick ◽  
Francis Mkilema ◽  
...  

<p>East African farming communities face complex challenges regarding food and feed productivity. Primary production systems are under stress, nutritional choices are changing and the relationship between development and agriculture is undergoing profound transformation. In the face of severe threat of soil erosion, East African agro-pastoral systems are now at a tipping point and there has never been a greater urgency for evidence-led sustainable land management interventions to reverse degradation of natural resources that support food and water security. A key barrier, however, is a lack of high spatial resolution soil health data wherein collecting such information is beyond conventional research means. This research tests whether bridging this data gap can be achieved through a coordinated citizen science programme. Accessible and portable technology is currently available in the form of hand-held soil scanners that can enable farmers to become citizen scientists empowered to collect data to establish research data bases that support critical landscape decisions. The aim of the work was to test the potential for using soil scanners as a tool for mapping whole community soil health characteristics, using soil organic matter as an indicator, down to farm-scale; a resolution that is beyond that achievable in conventional research, with the ultimate objective to deliver information that empowers stakeholders to create a sustainable community landscape plan.</p><p>Key outcomes included:</p><p>(1) A training document for the usage of the soil scanner that includes a list of potential problems and their solutions. Moreover, a training session was organised in the Tanzanian partner institution to build capacity for the continuation of the project, wherein local researchers were trained in the application of the ‘Agrocares’ soil scanner to support continuing community engagement.</p><p>(2) Local farmers being provided an opportunity to circumvent traditional power and knowledge inequities. During the introductory meeting and field measurements, we noticed the development of locally-embedded scientific interests and skills that foster stronger community ownership and engagement in action research.</p><p>(3) A high resolution soil organic matter and nutrient status dataset in small-catchment and community setting. The citizen science data contributes to soil process and hydrological understanding of East African landscapes, which besides direct contribution to the scientific understanding, also supports co-design of effective management solutions to the soil erosion and land degradation challenges.</p><p>The inclusion of ‘big data’ digital data training and sharing platforms and has the potential to create more robust and better informed collective decision-making, as well as identifying key data gaps. Further it can expand the utility and applicability of existing techniques and data sets beyond the reach of conventional research. Challenges and opportunities for wider use of soil scanning technology by community groups are evaluated.</p>


2014 ◽  
Vol 8 (1) ◽  
pp. 636-641
Author(s):  
Chengyuan Hao ◽  
Hebing Zhang ◽  
Jian Zhou

The spatial variation of soil physical and chemical properties in Funiu Mountain was studied to provide references for identifying soil spatial variation mechanism in bordering land of China warm temperate zone and northern subtropical region. Using vertical gradient sampling and traditional statistics method, the soil samples at the altitude from 1640 m to 1870 m were collected to compare physical and chemical properties between south and north slopes of the Funiu Mountain. The results showed that soil pH, soil organic matter and soil total nitrogen were remarkably correlated with altitude change, but soil electrical conductivity, soil available nitrogen, available phosphors, available potassium, and total potassium were not related to altitude. With the increase of altitude, soil pH and total nitrogen increased, but soil organic matter decreased. Compared with the soil properties of northern slope in Funiu Mountain, soil acidity, electrical conductivity, and available nitrogen were higher in southern slope. Especially, the soil available nitrogen was much higher than the mean value observed in northern slope samples. The contents of soil organic matter, available phosphorus, available potassium, total nitrogen, and total potassium showed no striking difference on between southern and northern slopes. In conclusion, both altitude and slope direction significantly influenced spatial variation of soil properties in Funiu Mountain. It added to the boundary effect of Qinling Mountains, and revealled the interaction mechanism of the environmental elements such as land-climate-soil-ecosystem in Funiu Mountain.


2016 ◽  
Vol 47 (19) ◽  
pp. 2189-2199 ◽  
Author(s):  
Weiwen Qiu ◽  
Denis Curtin ◽  
Paul Johnstone ◽  
Mike Beare ◽  
Guillermo Hernandez-Ramirez

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