scholarly journals ISOLATION AND IDENTIFICATION OF AZOTOBACTER OF SOME TYPE OF LAND USE IN JEGU VILLAGES

Author(s):  
Ni Nengah Soniari ◽  
I Wayan Dana Atmaja

Conventional farming systems have a negative impact on the life of Azotobacter. Through the results of this study, we want to provide information on the existence of Azotobacter in several rhizosphere of cultivated plants, and looking for isolates that have advantages as biofertilizers and decomposers. This research is an exploration of bacteria Azotobacter spp. from several plant rhizosphere namely: organic and inorganic rice paddy, cassava, coconut, and chocolate. Three samples was taken from each type of land use, so that the number of isolate sources were 15 samples. All analyzes were conducted at Soil Biology Laboratory, Faculty of Agriculture Udayana University. This study aims to find isolates of Azotobacter spp. which is superior to be utilized as biofertilizer and decomposer. Parameters used to support isolation and identification results are total population of bacteria Azotobacter spp., soil respiration, gram staining, halo zone and optical density. The results showed that organic rice rhizosphere was the best isolate source compared with inorganic rice rhizosphere, coconut, cassava and chocolate. Isolate from this organic rice rhizosphere has the highest total population (40.10 cfu x107g-1 soil), on positive catalase test yield bubbles and optical density (average 1.217ABS at 550 nm wavelength). While the superior isolates of Azotobacter spp. As biofertilizer and decomposer candidates are TSO2 isolates (samples from organic rice plant rhizosphere) with soil respiration rate (8.057mgC-CO2 kg-1 soil/day), high optical density (1.147 ABS on spectrophotometer with 550 nm wavelength) and highest halo zone diameter (10 mm).

Author(s):  
Junli Liu ◽  
Panli Cai ◽  
Jin Dong ◽  
Junshun Wang ◽  
Runkui Li ◽  
...  

The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total population of Beijing based on cell phone data and assess their dynamic exposure to ambient PM2.5. The locations of residents were located by the cellular base stations that were keeping in contact with their cell phones. The diurnal activity pattern of the total population was investigated through the dynamic spatial distribution of all of the cell phones. The outdoor PM2.5 concentration was predicted in detail using a land use regression (LUR) model. The hourly PM2.5 map was overlapped with the hourly distribution of people for dynamic PM2.5 exposure estimation. For the mobile-derived total population, the mean level of PM2.5 exposure was 89.5 μg/m3 during the period from 2013 to 2015, which was higher than that reported for the census population (87.9 μg/m3). The hourly activity pattern showed that more than 10% of the total population commuted into the center of Beijing (e.g., the 5th ring road) during the daytime. On average, the PM2.5 concentration at workplaces was generally higher than in residential areas. The dynamic PM2.5 exposure pattern also varied with seasons. This study exhibited the strengths of mobile location in deriving the daily spatiotemporal activity patterns of the population in a megacity. This technology would refine future exposure assessment, including either small group cohort studies or city-level large population assessments.


2021 ◽  
Vol 304-305 ◽  
pp. 108426
Author(s):  
Wenhao Sun ◽  
Xining Zhao ◽  
Xiaodong Gao ◽  
Weiyu Shi ◽  
Qiang Ling ◽  
...  

2021 ◽  
Author(s):  
Darija Bilandžija ◽  
Marija Galić ◽  
Željka Zgorelec

<p>In order to mitigate climate change and reduce the anthropogenic greenhouse gas (GHG) emissions, the Kyoto protocol has been adopted in 1997 and the Paris Agreement entered into force in 2016. The Paris Agreement have ratified 190 out of 197 Parties of the United Nations Framework Convention on Climate Change (UNFCCC) and Croatia is one of them as well. Each Party has obliged regularly to submit the national inventory report (NIR) providing the information on the national anthropogenic GHG emissions by sources and removals by sinks to the UNFCCC. Reporting under the NIR is divided into six categories / sectors, and one of them is land use, land use change and forestry (LULUCF) sector, where an issue of uncertainty estimates on carbon emissions and removals occurs. As soil respiration represents the second-largest terrestrial carbon flux, the national studies on soil respiration can reduce the uncertainty and improve the estimation of country-level carbon fluxes. Due to the omission of national data, the members of the University of Zagreb Faculty of Agriculture, Department of General Agronomy have started to study soil respiration rates in 2012, and since then many different studies on soil respiration under different agricultural land uses (i.e. annual crops, energy crop and vineyard), management practices (i.e. tillage and fertilization) and climate conditions (i.e. continental and mediterranean) in Croatia have been conducted. The obtained site specific results on field measurements of soil carbon dioxide concentrations by <em>in situ</em> closed static chamber method will be presented in this paper.</p>


2016 ◽  
Vol 46 (4) ◽  
pp. 626-631
Author(s):  
Tiago Miguel Jarek ◽  
Jorge Luiz Moretti de Souza ◽  
Nerilde Favaretto ◽  
Lucimeris Ruaro

ABSTRACT: Land use outside its agricultural potential and low vegetation cover in the watershed impair the quality of water used for irrigation and may contribute to the spread of pathogenic coliform bacteria. The objective of this study was to relate the quality of irrigation water with the intensity and type of land use and the rainfall in a vegetable-producing region of São José dos Pinhais, Paraná. Water samples were collected monthly in 2013 from two reservoirs and one preserved source. After collection, the samples were chilled in Styrofoam boxes and transported to the laboratory for analyses of the total and thermotolerant coliforms. Effect of land use was analyzed by probability estimation trees. High land use and weekly above average rainfall increased the probability of thermo tolerant coliforms exceeding the limit allowed under legislation. In regards to thermo tolerant coliforms in the analyzed period, the water from only one reservoir was in accordance with the legislation for the quality of water to irrigate vegetables that are consumed raw. Results of this study are an alert to the local government for the necessity of environmental preservation to maintain the water quality of the county.


2019 ◽  
Vol 21 (3) ◽  
pp. 407
Author(s):  
Yuda Pringgo Bayusukmara ◽  
Baba Barus ◽  
Akhmad Fauzi

The determination of the Capital of Sukabumi Regency had implications on Palabuhanratu Bay area in terms of the physical area marked by the change of land use. This research was begun by analyzing land use change using Landsat imagery. Markov Chain and CA-Markov Chain method were used to predict land use change. Prospective Structural Analysis assume that the future is different from the past and is not imposed, but can be built. MICMAC method were used to determine key variables in influencing the change of land use into built-area. The results showed that in the period of post-relocation, the built-up area had a significant increase than the period of pre-relocation. The prediction results of 2030 indicate the type of land use which had a significant decrease from 2016-2030 were beach sand and waterbodies. The type of land use which had higher increase was built-up area and shrub. The key variables that influence the change of land use into built-up area in Palabuhanratu Bay area in the present situation are distance to the city center, Regional Spatial Plan policy, and slope. In future situation, variables such as distance to cities, Regional Spatial Plan policy, and the proportion of paddy field would be the key variables in influencing the change of land use into built-up area.


2021 ◽  
pp. 171-188
Author(s):  
Maureen H. Murray ◽  
Sonia M. Hernandez

Birds live on a human-dominated planet. Over half of Earth’s ice-free land area has been modified by anthropogenic disturbance including deforestation, agriculture, and urbanization, impacting ecosystems around the world. Disturbances associated with these land use types, such as habitat loss, fragmentation, and pollution, influence the dynamics between birds, their pathogens, and the environment they share. Such shifts in disease dynamics can arise through the impacts of land use change on aspects of hosts, vectors, and/or pathogens, including vector and host abundance, behavior, and physiology, and through pathogen persistence in the environment. To address this complexity, the major causes of land use change that can impact birds across diverse ecosystems are described. The chapter then discusses key changes associated with land use change such as habitat loss, pollution, and anthropogenic resources that are relevant to avian disease ecology. These key changes are followed by a synthesis of documented changes in avian health with urbanization, the fastest growing type of land use change on Earth. The chapter closes with relevant implications for One Health systems and future directions for advancing avian disease ecology in rapidly changing landscapes.


2015 ◽  
Vol 9 (1) ◽  
pp. 45-53
Author(s):  
Sebastian Zabłocki

Abstract The article presents the results of research, conducted in central Poland, where agriculture is the dominant type of land use. This activity is considered as a common potential hazard to groundwater quality because of the use of nitrate fertilizers, especially for small groundwater intakes used for the purpose of rural water supply. For this kind of intake seven scenarios of groundwater quality hazard were elaborated based on the results of the hydrodynamic modelling research in this area including the following: calculation of volume and time of leakage through the aquitard formations to the main useful aquifer, verification of the indirect protection zone and definition of the size of the well capture zone. The scenarios considered the current groundwater quality hazard as well as changes in agricultural land use or changes in fertilizer doses needed to decrease groundwater hazard by nitrates in the intake.


2019 ◽  
Vol 11 (22) ◽  
pp. 6424 ◽  
Author(s):  
Zhaoya Gong ◽  
Qiwei Ma ◽  
Changcheng Kan ◽  
Qianyun Qi

Streets, as one type of land use, are generally treated as developed or impervious areas in most of the land-use/land-cover studies. This coarse classification substantially understates the value of streets as a type of public space with the most complexity. Street space, being an important arena for urban vitality, is valued by various dimensions, such as transportation, recreation, aesthetics, public health, and social interactions. Traditional remote sensing approaches taking a sky viewpoint cannot capture these dimensions not only due to the resolution issue but also the lack of a citizen viewpoint. The proliferation of street view images provides an unprecedented opportunity to characterize street spaces from a citizen perspective at the human scale for an entire city. This paper aims to characterize and classify street spaces based on features extracted from street view images by a deep learning model of computer vision. A rule-based clustering method is devised to support the empirically generated classification of street spaces. The proposed classification scheme of street spaces can serve as an indirect indicator of place-related functions if not a direct one, once its relationship with urban functions is empirically tested and established. This approach is empirically applied to Beijing city to demonstrate its validity.


2018 ◽  
Vol 27 (7) ◽  
pp. 489-497 ◽  
Author(s):  
Jeong-Ho Kim ◽  
Sang-Hoon Lee ◽  
Yong-Han Yoon
Keyword(s):  
Land Use ◽  

2018 ◽  
Vol 22 (03) ◽  
pp. 145-151
Author(s):  
Myagmarjav I ◽  
Myagmartseren P ◽  
Namsrai G

In the framework of land use planning 2016-2030, the general population growth and needs of social infrastructures in conjunction with the amount of land required for urban development had been estimated. Based on the overall estimation of the total population of Darkhan-Uul province in 2030, the statistical number will be 104426 inhabitants in total and there were estimated the population growth of administrative units population: Darkhan district 85230 inhabitants, Orkhon 3856 inhabitants, Sharyin gol district 9086 inhabitants, Hongor district 6579 inhabitants. In our research, had been used the needs assessment method, where estimated required area and main needs for secondary schools, kindergartens, hospitals and commercial services in accordance with the number of the projected population and district capacity.


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