Examination of the Change in the Vegetation Around the Kirka Boron Mine Site by Using Remote Sensing Techniques

Çetin, Mehmet; Pekkan, Özge Isik; Ozturk, Gulsah Bilge; Kürkçüoğlu, Müzeyyen Anıl Şenyel; Küçükpehlivan, Tuncay; Çabuk, Alper

doi:10.1007/s11270-022-05738-y

Cited by 55 publications

(7 citation statements)

References 53 publications

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“…Millions of microorganisms are present in soil, and more than 85% of them are beneficial to plants and give vitality to soil systems [21]. Destruction in vegetation tends to bring about changes in biodiversity, in climate, and in ecosystem services [22].…”

Section: Introductionmentioning

confidence: 99%

Positive Effects of Perennial Wheat on Soil Fertility, Carbon Stocks and Microbial Biomass in South-Eastern Kazakhstan

Kurmanbayeva,

Kusmangazinov,

Makhatov

et al. 2023

Pol. J. Environ. Stud.

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Perennial wheat yields for several years after sowing, and develops a deep and dense root system, thereby improving soil structure and preserving soil fertility. It is also drought resistant, which increases its future potential under the ongoing climate change. Moreover, perennial wheat offers and effective strategy for carbon sequestration through increasing soil carbon stocks. However, the effect of perennial wheat on soil properties remains uncertain in the conditions of south-eastern Kazakhstan due to the lack of data. To fill this gap, we conducted a study in which five varieties of perennial wheat were grown in the Almaty region in soils of different fertility for two years. As a result, in the plot where topsoil was removed to a depth of 25 cm, total carbon increased by nearly three times, from 0.54% to 1.42%, and the number of microorganisms increased from 715.1x103±0.2x103 to 48.0x103±0.6x103 colony forming units per ml of soil. The photosynthetic performance of perennial wheat varieties in the experimental plot was not negatively affected by the removal of top soil suggesting that perennial wheat can successfully restore soil fertility and replenish soil with chemical elements involved in photosynthesis. Our results confirm that in the conditions of the south-eastern Kazakhstan perennial wheat makes a significant contribution to the soil carbon stock accumulation and development of soil biota; in our study, these effects were particularly strong in the case of degraded soil.

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Section: Introductionmentioning

confidence: 99%

Positive Effects of Perennial Wheat on Soil Fertility, Carbon Stocks and Microbial Biomass in South-Eastern Kazakhstan

Kurmanbayeva,

Kusmangazinov,

Makhatov

et al. 2023

Pol. J. Environ. Stud.

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“…Chakrabortty et al, (2022) used universal soil loss equation (USLE) and geographical information system (GIS) to evaluate the importance of morphotectonic parameters on soil erosion in Kangsabati river basin of Eastern India. Cetin et al, (2022) used remote sensing data of Landsat and Sentinel data for studying the temporal variations in the vegetation cover of Kırka boron mining site and, thereby, concluded that the Sentinel images are capable of giving more detail information due to its higher spatial resolution. Kumar et al, (2022) found that for improving the accuracy of USLE model in soil erosion mapping of the Himalayan Indian basin, the C factor has to be adjusted based on derived remote sensing maps.…”

Section: Introductionmentioning

confidence: 99%

Soil erosion risk assessment in Moridhal watershed of Assam, India using Universal Soil Loss Equation and GIS

Bharteey,

Deka,

Patgiri

et al. 2023

Preprint

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Soil erosion is one of the major factors affecting sustainability of agricultural production in watershed. The objective of this paper is to estimate soil loss using the universal soil loss equation (USLE) model and GIS and to suggest soil conservation practices in Moridhal watershed. Soil loss was estimated by USLE. In addition, measurements of randomly selected soil and water conservation structures were done at four physiographic units of watershed. The erodibility of the studied soils was assessed by computing various erodibility indices like clay ratio, silt clay ratio, modified clay ratio, dispersion ratio, erosion ratio and erosion index. The soil loss of watershed was varied from very slight to very severe (range 0.87-67.77 t ha-1 yr-1). Among the physiographic units, the soil loss in the upper piedmont plain area was moderately severe to very severe with a value varying from 19.9-67.8 t ha-1 yr-1. The dispersion ratio of the soils varied from 0.06 to 1.18. It was observed that 48.82 per cent of the total studied soil samples had dispersion ratio values above 0.15 which may be considered as erodible. The erosion ratio and erosion index of studied soils varied from varied from 0.01-0.55 and 0.03-0.71, respectively. Based on the study it was found that the soils in different physiographic units are suffering from varying degree of soil erosion. The upper piedmont plain areas of the watershed require management practices which could improve the erosion status and soil productivity. The results of soil loss obtained from the study could be effectively used by the planners, watershed managers and policy makers to formulate site specific conservation plans in order to minimize soil loss for sustaining productivity.

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“…Field experiments can quantify actual vegetation in real time including long-term observation field, natural gradient studies and small-scale control experiment [25]. Remote sensing estimation is usually combined with geographic information technology to obtain various vegetation state parameters, and then quantify large-scale vegetation carbon storage [26][27]. The carbon cycle modeling could identify continuous dynamic evolution characteristics of carbon cycle in a large spatial-temporal scale, and obtain the continuous historical sequence of vegetation carbon pools (including leaves, stems and roots), soil carbon storage/flux and shift flux to overcome the technical limitations of spatial and temporal scales [28][29].…”

Section: Introductionmentioning

confidence: 99%

A 3S-based Regional Terrestrial Carbon Cycle Model in Luanhe Basin, China

Qin,

Liu,

Liu

et al. 2023

Pol. J. Environ. Stud.

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For a comprehensive response to climate change and low carbon development mode, the 3S-based regional terrestrial carbon cycle model in Luanhe basin is constructed in accordance with componentbased development strategy to identify carbon cycle evolution of terrestrial ecosystem under the background of local changes, combining measured weather data, prototype observation data of soil and plants as well as remote-sensing information in different spatial and temporal scales. The model has the ability of describing canopy fluxes, net primary productivity, biomass allocation and turnover, mortality, decomposition of soil organic matter and other dynamic processes. The carbon cycle evolution in Luanhe Basin from 1995 to 2010 is simulated and analyzed. The results are shown as follows: 1) in the temporal scale, inter-annual change of leaf area index with a slight growth trend is larger than that of net primary productivity (NPP), ground and underground biomass and soil carbon content; 2) There are obvious regional differences in spatial view, spatial distribution of results are consistent with those of watershed plant and soil, displaying the characteristics that the above major variables of mountainous regions in middle-upper reaches are greater than those of grassland meadows in the upstream and plains in the downstream.

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Examination of the Change in the Vegetation Around the Kirka Boron Mine Site by Using Remote Sensing Techniques

Cited by 55 publications

References 53 publications

Positive Effects of Perennial Wheat on Soil Fertility, Carbon Stocks and Microbial Biomass in South-Eastern Kazakhstan

Positive Effects of Perennial Wheat on Soil Fertility, Carbon Stocks and Microbial Biomass in South-Eastern Kazakhstan

Soil erosion risk assessment in Moridhal watershed of Assam, India using Universal Soil Loss Equation and GIS

A 3S-based Regional Terrestrial Carbon Cycle Model in Luanhe Basin, China

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