Land use as a driver of soil fertility and biodiversity across an agricultural landscape in the Central Peruvian Andes

2017 ◽  
Vol 27 (4) ◽  
pp. 1138-1154 ◽  
Author(s):  
Anne W. de Valença ◽  
Steven J. Vanek ◽  
Katherin Meza ◽  
Raul Ccanto ◽  
Edgar Olivera ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Agricultural Landscape ◽  
Peruvian Andes

Contested Grasslands: Commons and the Unequal Land-Costs to Sustain Soil Fertility in Preindustrial Agriculture

2021 ◽  
Vol 45 (4) ◽  
pp. 625-655
Author(s):  
Dino Güldner
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Crop Production ◽  
Agricultural Landscape ◽  
Farm Animals ◽  
Unequal Distribution ◽  
Land Use Systems ◽  
Long Run ◽  
Sustainability Challenges ◽  
Cycling Of Nutrients

AbstractMaintaining soil fertility was the most pressing problem in preindustrial agriculture. Prior to the arrival of industrial inputs, farmers relied on ecological soil replenishment processes and biological fertilizing techniques to sustain the productivity of soil. Central European farmers actively managed the cycling of nutrients by keeping livestock. Farm animals provided the means to recycle nutrients from crop production and to transfer nutrients from land-use systems dedicated for biomass extraction, such as grasslands. This article explores the unequal distribution of these vital resources in the Manor Bruck, Austria, and its impact on landlord’s and peasant’s abilities to meet the “land costs” of sustaining soil fertility. The article tests the hypothesis as to whether inequality was a major driver for unsustainable farming practices and the degradation of agro-ecosystems in the long run. Focal points are commons and communal land-use systems and their role in cycling nutrients through the agricultural landscape. Commons in the Manor Bruck comprised vast grasslands, which provided an important ecological buffer to balance the continuous export of nutrients from crop production for all actors. The aim is to demonstrate how social conflict emerging from the competition over commons guides us to the specific sustainability challenges faced by farmers.

scholarly journals Assessment of soil fertility degradation affected by mining disturbance and land use in a coalfield via machine learning

2021 ◽  
Vol 125 ◽  
pp. 107608
Author(s):  
Ziguan Wang ◽  
Guangcai Wang ◽  
Tingyu Ren ◽  
Haibo Wang ◽  
Qingyu Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Soil Fertility ◽  
Mining Disturbance

Field Margin Weed-Species Diversity in Relation to Landscape Attributes and Adjacent Land Use

Weed Science ◽  
2007 ◽  
Vol 55 (2) ◽  
pp. 129-136 ◽  
Author(s):  
Lynn M. Sosnoskie ◽  
Edward C. Luschei ◽  
Mark A. Fanning
Keyword(s):  
Land Use ◽  
Species Richness ◽  
Agricultural Landscape ◽  
Elevation Gradient ◽  
Shape Index ◽  
Diversity Indices ◽  
Weed Species ◽  
Field Margin ◽  
Local Climate ◽  
Modeling Strategy

The importance of managing weeds in seminatural habitats that are adjacent to farm fields is unclear. Weedy-margin vegetation may harbor pests or pathogens and may ALSo serve as source populations for ongoing immigration of weeds into the field. It is ALSo possible, however, that margin vegetation provides habitat for organisms that consume weed seeds or suppress the likelihood of pest or pathogen outbreak. We examined the nature of margin habitat using spatial-scaling of Weed-Species richness as an ecological assay. In 2003, we recorded the occurrence of weedy species along the perimeters of 63 fields in Wisconsin. The fields were distributed within six counties that differed in topography, geological history, local climate, and soil type and which spanned the range of variability in the agricultural landscape. We identified seven habitats that differed in geology and land use. The relationship between species richness and margin class was estimated using an analog of the power law. Additionally, we investigated broadscale correlates of habitat heterogeneity at the field level, using a modeling strategy that included additional explanatory factors logically connected to plant diversity. Using a model-confrontation approach, the survey supported the inclusion of two topographical diversity indices, elevation gradient and a field-shape index, into our model. Our broadscale survey provides information on one of a suite of important considerations needed to make decisions about the importance of managing weeds in field margins.

Impacts of land‐use changes on soil fertility in Okomu Forest Reserve, Southern Nigeria

2020 ◽  
Author(s):  
Glory O. Enaruvbe ◽  
Afolabi O. Osewole ◽  
Ozien P. Mamudu ◽  
Jesús Rodrigo‐Comino
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Land Use Changes ◽  
Forest Reserve ◽  
Southern Nigeria

ANALYSIS OF DYNAMICS OF LAND USE STRUCTURE AND SOIL FERTILITY INDICATORS OVER THE KLYAZMA RIVER BASIN

2021 ◽  
pp. 88-98
Author(s):  
I.N. Kurochkin ◽  
◽  
E.Yu. Kulagina ◽  
N.V. Chugay ◽  
◽  
...  
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
River Basin ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Livestock Grazing ◽  
Land Use Structure ◽  
Vladimir Region ◽  
Fallow Lands ◽  
Analysis Of Dynamics

The main trends in changing the land use structure in the territory of the Klyazma River basin were de-scribed in the article. Using GIS technologies and remote sensing data the areas of land with different land use regimes in the studied territory were determined in the period from 2001 to 2019. The indices of LAI and FPAR phytoproductivity for the territory of the Klyazma basin as a whole, and for each basin included in it were determined. The analysis of the dynamics of changes occurring in the structure of land use is carried out. For the territory of Vladimir region, which is a part of the Klyazma River basin, an assessment of soil types distribution over occupied area was carried out. An integral indicator of soil fertility was calcu-lated on the basis of statistical data of agrochemical indicators. The fraction of fallow lands decreased by 2019 and it amounts 33.76% of the total area of the studied territory. The fraction of mixed forests increased from 38.48% in 2001 to 44.50% in 2019 due to the formation of fast-growing tree species shoots on fallow lands. The area of meadow vegetation for the period from 2015 to 2019 decreased by 3.5%, from 4 276 to 3 121 km2, due to agriculture degradation and a significant decrease in livestock grazing. The indicator of soil fertility for the Klyazma basin was 0.74, which is a high indicator. It is established that the most active decrease in the agricultural land area occurs in the central, north-western and western parts of the river basin.

scholarly journals Sedentary Agriculture and Its Implications on Soil Quality in Agro-pastoral Semi-arid Karamoja, Uganda

2020 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
S. Muwanga ◽  
R. Onwonga ◽  
S. O. Keya ◽  
E. Komutunga
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Data Base ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Depth ◽  
Sustainable Land Use ◽  
Soil Quality Indicators ◽  
Local Soil ◽  
Semi Arid

Uganda Government embarked on promoting sedentary agriculture in Karamoja agro-pastoral semi-arid livelihood zone, which experience rapid environmental and high soil quality (SQ) decline. However, studies on sedentary agriculture’s impact on soil quality using farmer’s knowledge is limited. Consequently, a survey was carried out in Karamoja (Iriiri, Matany Sub-counties of Napak of districts and Rengen sub-county of Kotido) to determine the soil quality indicator parameters based on the farmers knowledge in order to build a local soil knowledge data base to better inform sustainable land use strategies. Using a semi-structured questionnaire, forty indigenous farmers per sub-county, were interviewed between August and September, 2015. The study took into account the social demographic characteristics of the people, farming enterprises, methods of crops production, crops yields trends, causes of the perceived yields trends and soil quality indicators. Prospects of developing Karamoja indigenous knowledge data base lies in visible feature that predict soil quality. Farmers used 36 parameters to determine SQ. The parameters were clustered into five categories; soil, crop, biological, environmental and management each category contributing to 42, 19,14,8 and 17% of the total indicators, respectively. The relationship between age group and the perceived indicators of soil fertility was statistically significant (p-value = 0.045) with the majority stating that they use either soil colour, soil depth or soil texture to express the fertility of soil. The farmer’s soil quality indicators assessed in this study, is important in establishing indigenous-scientific hybrid knowledge data base to enhance soil fertility maintenance and better inform policy makers and other stakeholders on development of sustainable land use strategies.

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