scholarly journals Soil Quality Variation under Different Land Use Types in Haramosh Valley, Gilgit, Pakistan

2019 ◽  
Vol 10 (2) ◽  
pp. 32-37
Author(s):  
Farida Begum ◽  
Muneer Alam ◽  
Sameena Mumtaz ◽  
Manzoor Ali ◽  
Seema Wafee ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Agricultural Land ◽  
Arable Land ◽  
Soil Health ◽  
Chemical Properties ◽  
Land Use Type ◽  
Rapid Urbanization ◽  
Mean Values ◽  
Land Use Types

Soil quality is a fundamental component of environmental quality and impact of land use is also a keydetrimental factor in today’s rapid urbanization era. The study aims to evaluate the effects of different land-use type on selected soil quality indicators. Sixty soil samples were collected from various land use types, i.e, pasture, forest and agriculture from a depth of 0-15cm. Analysis of variance (ANOVA) showed that the land use type significantly affected the soil’s physical and chemical properties. The moisture content was significantly higher (p<0.001) in the pasture (41.7%) than the forest (26.2%) and lowest in agricultural land (14.4%). The soil pH was significantly higher or slightly alkaline for agriculture (7.8), while for pasture (6.5) and forest (6.1), it was found to be slightly acidic. Electric conductivity (EC) and bulk density (BD) did not vary significantly with land use type, but the EC followed the decreasing order: forest (203.7μS/cm) < pasture (235μS/cm) < agriculture (328.7μS/cm). The soil organic matter (SOM) and soil organic carbon (SOC) significantly (p<0.05) differed with land use type and found in the order: forest (3.0%, 1.3 %) > pasture land (2.9%, 1.2%) > arable land (2.5%, 1.1%). NO3-N, available P and exchangeable K did not vary significantly across land use types. However, mean values were higher for agriculture (10.2mg/kg, 4.5mg/kg, 66mg/kg) than forest (10mg/kg,3.5mg/kg, 60mg/kg) and pasture (9.8mg/kg, 4.3, 60.2mg/kg). Alpine soils are good ecological indicators because of vulnerability to environmental change, therefore, regular monitoring of soil properties along with carbon stocks is essential to maintain soil health, enhance agricultural productivity and sustain agroecosystems.

scholarly journals Soil Quality Variation under Different Land Use Types in Haramosh Valley, Gilgit, Pakistan

2019 ◽  
Vol 10 (2) ◽  
pp. 32-37
Author(s):  
Farida Begum ◽  
Muneer Alam ◽  
Sameena Mumtaz ◽  
Manzoor Ali ◽  
Seema Wafee ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Agricultural Land ◽  
Arable Land ◽  
Soil Health ◽  
Chemical Properties ◽  
Land Use Type ◽  
Rapid Urbanization ◽  
Mean Values ◽  
Land Use Types

Soil quality is a fundamental component of environmental quality and impact of land use is also a keydetrimental factor in today’s rapid urbanization era. The study aims to evaluate the effects of different land-use type on selected soil quality indicators. Sixty soil samples were collected from various land use types, i.e, pasture, forest and agriculture from a depth of 0-15cm. Analysis of variance (ANOVA) showed that the land use type significantly affected the soil’s physical and chemical properties. The moisture content was significantly higher (p<0.001) in the pasture (41.7%) than the forest (26.2%) and lowest in agricultural land (14.4%). The soil pH was significantly higher or slightly alkaline for agriculture (7.8), while for pasture (6.5) and forest (6.1), it was found to be slightly acidic. Electric conductivity (EC) and bulk density (BD) did not vary significantly with land use type, but the EC followed the decreasing order: forest (203.7μS/cm) < pasture (235μS/cm) < agriculture (328.7μS/cm). The soil organic matter (SOM) and soil organic carbon (SOC) significantly (p<0.05) differed with land use type and found in the order: forest (3.0%, 1.3 %) > pasture land (2.9%, 1.2%) > arable land (2.5%, 1.1%). NO3-N, available P and exchangeable K did not vary significantly across land use types. However, mean values were higher for agriculture (10.2mg/kg, 4.5mg/kg, 66mg/kg) than forest (10mg/kg,3.5mg/kg, 60mg/kg) and pasture (9.8mg/kg, 4.3, 60.2mg/kg). Alpine soils are good ecological indicators because of vulnerability to environmental change, therefore, regular monitoring of soil properties along with carbon stocks is essential to maintain soil health, enhance agricultural productivity and sustain agroecosystems.

scholarly journals Determination of environmental problems of agricultural nature management based on modular geochemical indicators

2020 ◽  
Vol 28 (1) ◽  
pp. 57-64
Author(s):  
Almobarak Falak ◽  
Lidia A. Mezhova
Keyword(s):  
Land Use ◽  
Natural Resources ◽  
Soil Quality ◽  
Agricultural Land ◽  
Methodological Approach ◽  
Arable Land ◽  
Animal Husbandry ◽  
Environmental Problems ◽  
Nature Management ◽  
The Impact

Central Chernozem is one of the largest agricultural regions in Russia. As a result of the long period of natural resources use the anthropogenic load on agricultural lands is increasing. The result of agricultural nature management is the increase of land degradation processes. Voronezh Region has a high agro-climatic potential, most of the territory is occupied by agricultural land, arable land prevails among them. Soil degradation is the most acute problem. There is a need to assess the impact of agricultural natural resources use on land resources of the region. Modular coefficients for assessment of geochemical impact of agriculture and animal husbandry on agricultural systems are proposed. The developed factor is a tool for identification of negative land use processes and environmental problems. The article deals with the issues of ecologically oriented, scientifically grounded strategy of agricultural nature management. Ecological approach to assessment of soil quality in the future will develop a strategy for balanced land use. The article has a scientific and practical character and is aimed at the development of methods of ecological assessment of soil quality. The proposed methodological approach identifies destructive processes in soils. For ecologically oriented strategy of development of regions it is important to define maximum allowable agricultural loads for preservation of sustainable environment.

Evaluation of soil quality in different land uses in the Mengzi Gabin Basin, Southwest of China

2020 ◽  
Author(s):  
Liqun Tang ◽  
Zhijie Shan ◽  
Yang Yu
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Quality ◽  
Total Nitrogen ◽  
Total Phosphorus ◽  
Agricultural Land ◽  
Organic Matter Content ◽  
Land Use Types ◽  
Total Potassium

&lt;p&gt;Re-vegetation has been widely carried out to prevent land degradation, reduce soil erosion, and improve soil quality. In order to investigate the characteristics of soil nutrients content in different land use types of karst gabin basin, soil organic matter, soil total nitrogen, soil total phosphorus, soil total potassium, soil pH, and soil texture in woodland, agricultural land, orchard, and grassland were surveyed in Mengzi Gabin Basin, Southwest of China. The difference of soil indicators between vegetation types was analyzed, and soil fertility quality of four land use types was comprehensively evaluated by the soil quality index (SQI). The results showed that land use significantly affected soil organic matter content. Soil organic matter content was the highest in grassland, followed by agricultural land and forest land, while orchard was lowest. There was a significant difference in soil total nitrogen content between different land uses. The total nitrogen content in farmland soil was the highest, followed by grassland and woodland, and the lowest in the orchard. Woodand had the highest total potassium content and the lowest total phosphorus content. The grassland soil had the highest total phosphorus content and the lowest total potassium content. pH value in the four land use types was acidic, ranged from 5.82 to 6.67. The soil quality index showed that woodland had the highest soil fertility quality. The results of the study could provide the basis of soil nutrients variation and status in Gabin basin, and also provides support for evaluating the soil improvements during vegetation restoration in fragile Karst ecosystems.&lt;/p&gt;

scholarly journals Why a landscape view is important: nearby urban and agricultural land affects bird abundances in protected areas

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10719
Author(s):  
Gregory Duncan Duckworth ◽  
Res Altwegg
Keyword(s):  
Land Use ◽  
Protected Areas ◽  
Urban Area ◽  
Protected Area ◽  
Agricultural Land ◽  
Bird Species ◽  
Grid Cell ◽  
Land Use Type ◽  
Bird Abundance ◽  
Land Use Types

Protected areas are one of the primary conservation tools used worldwide. However, they are often embedded in a landscape that is intensely used by people, such as for agriculture or urban development. The proximity of these land-use types to protected areas can potentially affect the ecological effectiveness (or conservation effectiveness) of protected areas. In this article, we examine to what degree adjacent agricultural and urban land uses affect the ecological effectiveness of protected areas over the greater Gauteng region of South Africa. We selected 198 common, resident bird species, and analysed detection/non-detection data for these species collected over regular grid cells (approximately 61 km2 in area). For each species, we estimated abundance per grid cell with the Royle-Nichols model in relation to the proportion of protected area as a covariate. Our study focused on how this relationship between proportion of protected area and abundance (which we term the ‘protection–abundance relationship’) changed as a function of other land-use types in the grid cell. Specifically, we examined the interaction effects between protected area and both urban and agricultural land-use type per grid cell on bird abundance. We assigned each species to one of seven guilds, namely: frugivores, gleaners, granivores, ground-feeders, hawkers, predators and vegivores, and examined how the protection–abundance relationship varied across guilds in relation to agriculture and urban area. As urban area within a grid cell increased, the protection–abundance relationship became more positive for 58% of all species. At the level of guilds, the protection–abundance relationship became more positive for two guilds (granivores and ground-feeders), more negative for frugivores, and remained unchanged for the other four guilds (gleaners, hawkers, predators and vegivores). As agricultural area within a grid cell increased, the protection–abundance relationship became more positive for 49% of all species. At the guild level, the protection–abundance relationship became more positive for six guilds (frugivores, gleaners, ground-feeders, hawkers, predators and vegivores) and remained unchanged for the granivores. Our results show land-use type near protected areas modified the effect protected areas had on bird abundances, and hence the ecological effectiveness of protected areas. Our results suggest that protected areas should be viewed as constituents within the landscape, rather than islands of protection.

scholarly journals Land-Use Changes at Nest Sites of the Little Owl (Athene noctua) in the South-Moravian Region of the Czech Republic

2018 ◽  
Vol 11 (1) ◽  
pp. 19-34
Author(s):  
Karel Poprach ◽  
Libor Opluštil ◽  
František Krause ◽  
Ivo Machar
Keyword(s):  
Land Use ◽  
Czech Republic ◽  
Land Use Changes ◽  
Arable Land ◽  
Bird Species ◽  
Land Use Type ◽  
The South ◽  
Nest Sites ◽  
Land Use Types ◽  
Little Owl

Abstract The Little Owl is currently endangered bird species of agricultural lowland areas in Central Europe. Nesting sites of the Little Owl are often old trees as well as buildings and quarries with suitable nesting cavities. The Little Owl has severely declined in a major part of Europe during the past decades. Information on habitat requirements of the Little Owl and data related to land-use changes at nest sites (covering both the breeding and foraging habitats) are needed for conservation programmes aimed at this bird species. Land-use changes in farmland rank among frequently discussed negative factors causing the population decline of the Little Owl. The aim of this study is to analyse land-use changes at nest sites of the Little Owl in the South-Moravian region (Czech Republic) between the years 1976/1977 and 2014. In both studied periods (1976/1977 and 2014), the most important land-use type within 500 m from the nest sites of the Little Owl was arable land (66.94 % – 62.25 %), followed by built-up areas (19.97 % –22.41 %), while the other land-use types made up less than 5 %. The proportion of the particular land-use type did not change significantly between the years 1976/1977 and 2014. The most important change in comparison with the period 1976/1977 was the decrease in the area of arable land by 4.69 % and that of orchards and gardens by 1.99 %, while the surface of built-up areas increased slightly by 2.45 % and that of meadows and pastures by 1.5 %. The analysis shows that at the known nest sites of the Little Owl in the South-Moravian region (Czech Republic), there were no significant changes in the proportion of the particular land-use types within 500 m from the nests between the years 1976/1977 and 2014. Based on these results, we can conclude that in comparison with the availability of nest sites, which seems to be the important limiting factor for the occurrence and population density of the Little Owl, land-use changes in study area were not very important factor influencing decline of the Little Owl.

scholarly journals Characteristics of Soil Parameters of Agricultural Land Use Types, Their Location and Development Forecast

Land ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 197 ◽  
Author(s):  
Jozef Vilček ◽  
Štefan Koco ◽  
Eva Litavcová ◽  
Stanislav Torma
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Land Use ◽  
Soil Parameters ◽  
Production Potential ◽  
Gravel Content ◽  
Permanent Grassland ◽  
Land Use Types

In this paper we point out the basic soil parameters characterizing current arable land, permanent grassland, vineyards, and orchards in Slovakia. While the area of permanent land use types is more or less stable, there is a noticeable decrease in the area of arable land. In Slovakia, arable land is located mainly on the plain. The value of its production potential is 67 points (the highest quality soil has 100 points). Permanent grassland is found at higher altitudes on slopes, with a higher gravel content, and the value of their production potential is 35 points. Vineyards are predominantly located in the warm regions of southern Slovakia on the middle slopes. These soils are generally loamy, without significant gravel content, and the value of their production potential is 59 points. Most orchards are located on the plains. The soils are predominantly loamy and deep, without significant gravel content, and the value of their production potential is 63 points. Characteristics of agricultural land use types were determined using vector databases of soil parameters obtained from Soil Science and Conservation Research Institute information systems and a current vector layer for identification of agriculturally used soils, the Land Parcel Identification System, using geographic information systems. Moreover, our analysis tries to determine what developments can be expected in the use of four agricultural land use types. The modeling assumptions concern the future performance of these variables using exponential smoothing and Box–Jenkins methodology.

scholarly journals Impact of Land Use Types and Seasonal Variations on Soil Physico-chemical Properties and Microbial Biomass Dynamics in a Tropical Climate, Ghana

2020 ◽  
pp. 34-49
Author(s):  
Alex Amerh Agbeshie ◽  
Simon Abugre ◽  
Rita Adjei ◽  
Thomas Atta-Darkwa ◽  
Joseph Anokye
Keyword(s):  
Land Use ◽  
Microbial Biomass ◽  
Soil Microbial Biomass ◽  
Agricultural Land ◽  
Microbial Biomass Carbon ◽  
Chemical Properties ◽  
Quality Parameters ◽  
Land Use Type ◽  
Biomass Carbon ◽  
Soil Microbial

Land use conversion significantly impact on sensitive soil quality parameters such as microbial biomass and soil microbial quotient. Therefore, soil microbial biomass and physicochemical properties were compared under three different land use systems namely agricultural land, degraded mine land and an adjacent natural forest in the Newmont Gold Ghana Limited concessional areas, Kenyasi, Ghana. In our field experimentation, an area of 300 m2 was demarcated in each land use type for soil sampling. In each of the land use type, we collected soil 5 samples at a depth of 0-15 cm in both the dry and wet seasons respectively. Parameters we measured included soil bulk density, pH, particle size distribution, organic carbon, total nitrogen, available phosphorus, microbial biomass carbon and nitrogen, and moisture content. Our results revealed that land use type significantly impacted on soil microbial biomass and physicochemical properties. Microbial biomass carbon and nitrogen was higher in the forested land compared to the agricultural land and degraded mine land, which was due to relatively higher amounts of litter inputs. Microbial biomass carbon decreased between 20.23 - 88.36% when land use changed from forested land to other land uses. Significant positive correlation was observed between soil microbial biomass and water content, soil organic carbon, phosphorus, clay, nitrogen. Generally, seasonal variation in our study area did not influence soil physical and chemical properties, however, it significantly affected microbial biomass indices. Findings of our study further revealed the importance of forested area in the maintenance of soil quality parameters.

scholarly journals Landscape scale survey of indicators of soil health in grazing systems

Soil Research ◽  
2015 ◽  
Vol 53 (2) ◽  
pp. 154 ◽  
Author(s):  
K. M. Damsma ◽  
M. T. Rose ◽  
T. R. Cavagnaro
Keyword(s):  
Land Use ◽  
Soil Properties ◽  
Soil Health ◽  
Chemical Properties ◽  
Biological Properties ◽  
Landscape Scale ◽  
Exchange Capacity ◽  
Soil C ◽  
Land Use Types ◽  
Grazing Systems

In a broad-scale survey across pasture-based grazing systems in south-eastern Victoria, soil biological and chemical properties were measured in an effort to establish baseline levels for commonly used indicators of soil health. Although soil properties were highly variable among sites and biological properties were difficult to predict, total soil C was found to be closely associated with soil cation exchange capacity (CEC). Importantly, the strength and nature of relationships between soil properties differed among soil textural classes. We also measured a range of soil and vegetation properties in a small number of patches of remnant vegetation and their adjacent grazed pastures. This was done in an effort to assess the sensitivity of these measures when used on samples collected from strongly contrasting land-use types. Although some factors, such as mycorrhizal colonisation of roots and soil C, did differ between the two land-use types, other factors measured in this study did not. Together, the findings of this survey provide baseline information on the landscape scale for commonly used indicators of soil health. The study explores relationships between these soil properties and assesses how they differ between two strongly contrasting land-use types. The results are discussed in the context of monitoring soil and vegetation attributes relevant to soil health.

scholarly journals Comparing Sentinel-1 and -2 Data and Indices for Agricultural Land Use Monitoring

2020 ◽  
Vol 12 (18) ◽  
pp. 2919
Author(s):  
Ann-Kathrin Holtgrave ◽  
Norbert Röder ◽  
Andrea Ackermann ◽  
Stefan Erasmi ◽  
Birgit Kleinschmit
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Optical Data ◽  
Agricultural Land Use ◽  
Land Use Type ◽  
Auxiliary Data ◽  
Land Use Types ◽  
Sentinel 2

Agricultural vegetation development and harvest date monitoring over large areas requires frequent remote sensing observations. In regions with persistent cloud coverage during the vegetation season this is only feasible with active systems, such as SAR, and is limited for optical data. To date, optical remote sensing vegetation indices are more frequently used to monitor agricultural vegetation status because they are easily processed, and the characteristics are widely known. This study evaluated the correlations of three Sentinel-2 optical indices with Sentinel-1 SAR indices over agricultural areas to gain knowledge about their relationship. We compared Sentinel-2 Normalized Difference Vegetation Index, Normalized Difference Water Index, and Plant Senescence Radiation Index with Sentinel-1 SAR VV and VH backscatter, VH/VV ratio, and Sentinel-1 Radar Vegetation Index. The study was conducted on 22 test sites covering approximately 35,000 ha of four different main European agricultural land use types, namely grassland, maize, spring barley, and winter wheat, in Lower Saxony, Germany, in 2018. We investigated the relationship between Sentinel-1 and Sentinel-2 indices for each land use type considering three phenophases (growing, green, senescence). The strength of the correlations of optical and SAR indices differed among land use type and phenophase. There was no generic correlation between optical and SAR indices in our study. However, when the data were split by land use types and phenophases, the correlations increased remarkably. Overall, the highest correlations were found for the Radar Vegetation Index and VH backscatter. Correlations for grassland were lower than for the other land use types. Adding auxiliary data to a multiple linear regression analysis revealed that, in addition to land use type and phenophase information, the lower quartile and median SAR values per field, and a spatial variable, improved the models. Other auxiliary data retrieved from a digital elevation model, Sentinel-1 orbit direction, soil type information, and other SAR values had minor impacts on the model performance. In conclusion, despite the different nature of the signal generation, there were distinct relationships between optical and SAR indices which were independent of environmental variables but could be stratified by land use type and phenophase. These relationships showed similar patterns across different test sites. However, a regional clustering of landscapes would significantly improve the relationships.

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