Artykuły w czasopismach na temat „Vegetation”
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Bancsi, Maurice J. L. M. F., Marcel H. A. M. Veltrop, Rogier M. Bertina i Jan Thompson. "Role of Monocytes and Bacteria inStaphylococcus epidermidis Endocarditis". Infection and Immunity 66, nr 2 (1.02.1998): 448–50. http://dx.doi.org/10.1128/iai.66.2.448-450.1998.
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ABSTRACT The endocardial vegetation which is formed in the course of bacterial endocarditis (BE) contains tissue factor (TF)-dependent procoagulant activity. Earlier studies showed that monocytes are the main source of TF in the vegetations. The TF activity (TFA) of vegetations isolated from Streptococcus sanguis-infected rabbits depended on the numbers of bacteria as well as monocytes in the vegetation. In this study, we investigated whether forStaphylococcus epidermidis, a frequent pathogen in BE, an effect similar to that found for S. sanguis could be shown. In vitro, S. epidermidis was found to stimulate TFA of fibrin adherent monocytes significantly. This stimulation was maximal at a bacterium-to-monocyte ratio of 7. In vivo, TFA was found to be significantly higher in S. epidermidis-infected than in sterile catheter-induced vegetations. Reduction of vegetational bacterial numbers by teicoplanin treatment lead to a small but significant decrease of TFA. Reduction of monocyte numbers by etoposide did not affect vegetational TFA. Comparison of data for S. epidermidis and S. sanguis revealed that at equivalent bacterial numbers, vegetational TFAs were approximately the same for both microorganisms. Combining the results of the present study with those of a previous study using S. sanguis, we conclude that the main factor determining monocyte-dependent vegetational TFA is the number of vegetation-associated bacteria. The lower TFA found for S. epidermidis-infected than forS. sanguis-infected vegetations can be explained by the significantly lower bacterial numbers in the infected vegetations and consequently a lower stimulation of vegetation-associated monocytes.
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Fattorini, Simone. "The Role of Vegetation in Elevational Diversity Patterns of Tenebrionid Beetles in Central Italy". Diversity 16, nr 2 (8.02.2024): 110. http://dx.doi.org/10.3390/d16020110.
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Vegetation tends to vary in a systematic fashion along elevational gradients, leading to the possibility of recognizing distinct vegetational belts, which are frequently used to describe and interpret elevational variations in biodiversity. However, anthropogenic changes can create landscapes dominated by secondary grasslands in areas formerly occupied by forests, thus altering the natural sequence of vegetation types. The present research illustrates how the distribution of tenebrionid beetles in central Italy is influenced by secondary vegetation. Classical schemes of vegetational belts were modified into a scheme of main vegetation types that include secondary vegetations. Tenebrionid species presence/absence in each vegetation type was then assessed. Species richness tended to decrease with elevation in both natural and secondary vegetations. Geophilous (ground-dwelling) species (which include many endemics) prevailed in natural and secondary grasslands, while xylophilous species (associated with trees) prevailed in the natural forests. Similarities in tenebrionid composition indicated the presence of two main groups: one associated with forests and the other with natural and secondary grasslands. Geophilous species prevailed among tenebrionids with Mediterranean distributions, whereas xylophilous species prevailed among species distributed mainly in Europe and the Palearctic. High values of richness, biogeographical complexity and proportion of endemics make secondary vegetations of high conservation concern.
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Hassan, Zaid Naji, Nassreen N. Mzhr i Maan Abdul Azeez Shafeeq. "Relationships between Insects and their Host Plants-Co-Evolution Review". South Asian Research Journal of Pharmaceutical Sciences 5, nr 05 (5.10.2023): 196–205. http://dx.doi.org/10.36346/sarjps.2023.v05i05.003.
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Co-evolved is the mostly passable opinion for the development of insect-harbor-cultivate connections, whilst, it enable be offered that its essential prelude are unsuitable: (1) generality Plant-eating insects have highly minimum inhabitance intensities comparison to the bio conglomerate of their harbor cultivates , subsequently, they ability seldom be significant chosen agents for the vegetative; (2) insect- harbor-cultivate reactions are not indispensable hostile: monoeater- and oligoeater insects, whether their count is obviously elevated, may perfect organize the multitude of their harbor cultivates (reciprocal usefulness); Therefore, (3) durability to insects is not a comprehensive needful in vegetation and it Not possible clarify the existence of subaltern vegetation materials; (4) equivalent development pathways of vegetations and insects which must outcome from co development reactions are scarce, whereas numerous intimately concerning insects nourish on Vegetarian highly Away vegetation Varieties - a connection which not possible be concerning to co- development. So, the opinion of successive development is suggested: the development of blossom vegetations encouraged via chosen agents (e.g., environment, ground, vegetation- vegetation, reactions etc.), which are numerous extra powerful than insect offensives originate the biochemically varied dietary rule for the development of Plant-eating insects, whereas the last do not Significantly impact the development of vegetations.
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Maxwald, Melanie, Markus Immitzer, Hans Peter Rauch i Federico Preti. "Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data". Fire 5, nr 6 (8.12.2022): 211. http://dx.doi.org/10.3390/fire5060211.
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In wildfire areas, earth observation data is used for the development of fire-severity maps or vegetation recovery to select post-fire measures for erosion control and revegetation. Appropriate vegetation indices for post-fire monitoring vary with vegetation type and climate zone. This study aimed to select the best vegetation indices for post-fire vegetation monitoring using remote sensing and classification methods for the temperate zone in southern Ecuador, as well as to analyze the vegetation’s development in different fire severity classes after a wildfire in September 2019. Random forest classification models were calculated using the fire severity classes (from the Relativized Burn Ratio—RBR) as a dependent variable and 23 multitemporal vegetation indices from 10 Sentinel-2 scenes as descriptive variables. The best vegetation indices to monitor post-fire vegetation recovery in the temperate Andes were found to be the Leaf Chlorophyll Content Index (LCCI) and the Normalized Difference Red-Edge and SWIR2 (NDRESWIR). In the first post-fire year, the vegetation had already recovered to a great extent due to vegetation types with a short life cycle (seasonal grass-species). Increasing index values correlated strongly with increasing fire severity class (fire severity class vs. median LCCI: 0.9997; fire severity class vs. median NDRESWIR: 0.9874). After one year, the vegetations’ vitality in low severity and moderate high severity appeared to be at pre-fire level.
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He, Dong, Xianglin Huang, Qingjiu Tian i Zhichao Zhang. "Changes in Vegetation Growth Dynamics and Relations with Climate in Inner Mongolia under More Strict Multiple Pre-Processing (2000–2018)". Sustainability 12, nr 6 (24.03.2020): 2534. http://dx.doi.org/10.3390/su12062534.
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Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.
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Ruzikulova, Oykhumor. "Analysis of vegetation changes in land area of Syrdarya region using GIS technology and remote sensing data". E3S Web of Conferences 401 (2023): 04008. http://dx.doi.org/10.1051/e3sconf/202340104008.
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This article presents a map of vegetative changes in the Syrdarya region based on remote sensing data. Landsat 8 and Landsat 9 satellite images were used for analysis during the vegetation active period. The study examines the vegetation state of the selected area from 2000 to 2022 and analyzes the changes. The Normalized Difference Vegetation Index (NDVI) was calculated using ArcGIS 10.6 software and documented sequentially. The number of color-coded pixels on the map indicating the health and unhealthiness of the crops and the areas they occupy was determined through NDVI analysis. The study revealed a decrease in the vegetation layer in the Syrdarya region, and the reasons for this phenomenon were discussed. The article demonstrates the usefulness of remote sensing in analyzing vegetational changes over time and its potential applications in monitoring the health and productivity of crops in different regions. Overall, this research is valuable for developing strategies to mitigate the impact of vegetation loss in the Syrdarya region and similar regions facing similar challenges.
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García-de-la-Mària, C., F. Marco, Y. Armero, D. Soy, A. Moreno, A. del Río, M. Almela i in. "Daptomycin Is Effective for Treatment of Experimental Endocarditis Due to Methicillin-Resistant and Glycopeptide-Intermediate Staphylococcus epidermidis". Antimicrobial Agents and Chemotherapy 54, nr 7 (26.04.2010): 2781–86. http://dx.doi.org/10.1128/aac.01011-09.
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ABSTRACT This study evaluated the daptomycin activity against two methicillin-resistant Staphylococcus epidermidis (MRSE) clinical isolates with different vancomycin susceptibilities: MRSE-375, with a vancomycin MIC of 2 μg/ml, and NRS6, a glycopeptide-intermediate S. epidermidis (GISE) strain with a vancomycin MIC of 8 μg/ml. The in vivo activity of daptomycin at two different doses (standard dose [SD-daptomycin], 6 mg/kg of body weight/day intravenously [i.v.]; high dose [HD-daptomycin], 10 mg/kg/day i.v.) was evaluated in a rabbit model of infective endocarditis and compared with that of a standard dose of vancomycin (SD-vancomycin; 1 g i.v. every 12 h) for 2 days. For the MRSE-375 strain, high-dose vancomycin (HD-vancomycin; 1 g i.v. every 6 h) was also studied. For MRSE-375, SD- and HD-daptomycin therapy sterilized significantly more vegetations than SD-vancomycin therapy (9/15 [60%] and 11/15 [73%] vegetations, respectively, versus 3/16 [19%] vegetations; P = 0.02 and P = 0.002, respectively). HD-daptomycin sterilized more vegetations than HD-vancomycin (11/15 [73%] versus 5/15 [33%] vegetations; P = 0.03) and was more effective than SD- and HD-vancomycin in reducing the density of bacteria in valve vegetations (0 log10 CFU/g vegetation [interquartile range {IQR}, 0 to 1 log10 CFU/g vegetation] versus 2 log10 CFU/g vegetation [IQR, 2 to 2 log10 CFU/g vegetation] and 2 log10 CFU/g vegetation [IQR, 0 to 2.8 log10 CFU/g vegetation]; P = 0.002 and P = 0.01, respectively). For the NRS6 strain, SD- and HD-daptomycin were significantly more effective than vancomycin in reducing the density of bacteria in valve vegetations (3.7 log10 CFU/g vegetation [IQR, 2 to 6 log10 CFU/g vegetation] versus 7.1 log10 CFU/g vegetation [IQR, 5.2 to 8.5 log10 CFU/g vegetation]; P = 0.02). In all treatment arms, isolates recovered from vegetations remained susceptible to daptomycin and vancomycin and had the same MICs. In conclusion, daptomycin at doses of 6 mg/kg/day or 10 mg/kg/day is more effective than vancomycin for the treatment of experimental endocarditis due to MRSE and GISE.
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Xu, Nianxu, Jia Tian, Qingjiu Tian, Kaijian Xu i Shaofei Tang. "Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index". Remote Sensing 11, nr 10 (19.05.2019): 1192. http://dx.doi.org/10.3390/rs11101192.
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Shadows exist universally in sunlight-source remotely sensed images, and can interfere with the spectral morphological features of green vegetations, resulting in imprecise mathematical algorithms for vegetation monitoring and physiological diagnoses; therefore, research on shadows resulting from forest canopy internal composition is very important. Red edge is an ideal indicator for green vegetation’s photosynthesis and biomass because of its strong connection with physicochemical parameters. In this study, red edge parameters (curve slope and reflectance) and the normalized difference vegetation index (NDVI) of two species of coniferous trees in Inner Mongolia, China, were studied using an unmanned aerial vehicle’s hyperspectral visible-to-near-infrared images. Positive correlations between vegetation red edge slope and reflectance with different illuminated/shaded canopy proportions were obtained, with all R2s beyond 0.850 (p < 0.01). NDVI values performed steadily under changes of canopy shadow proportions. Therefore, we devised a new vegetation index named normalized difference canopy shadow index (NDCSI) using red edge’s reflectance and the NDVI. Positive correlations (R2 = 0.886, p < 0.01) between measured brightness values and NDCSI of validation samples indicated that NDCSI could differentiate illumination/shadow circumstances of a vegetation canopy quantitatively. Combined with the bare soil index (BSI), NDCSI was applied for linear spectral mixture analysis (LSMA) using Sentinel-2 multispectral imaging. Positive correlations (R2 = 0.827, p < 0.01) between measured brightness values and fractional illuminated vegetation cover (FIVC) demonstrate the capacity of NDCSI to accurately calculate the fractional cover of illuminated/shaded vegetation, which can be utilized to calculate and extract the illuminated vegetation canopy from satellite images.
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Khan, Roomana, Saleeha Asghar i Vivek Kak. "699. A Retrospective Review of the Progression of Cardiac Vegetations with treatment". Open Forum Infectious Diseases 7, Supplement_1 (1.10.2020): S401. http://dx.doi.org/10.1093/ofid/ofaa439.891.
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Abstract Background The purpose of our study was to assess the natural history of cardiac vegetations in native valves(NVIE) including changes in size and/or resolution with adequate treatment, as well as analyze factors that influence initial size. Methods We did a retrospective review of 102 patients discharged with a diagnosis NVIE at a community hospital. These patients were then screened to see if they received an adequate course of antimicrobial therapy and had follow up echocardiograms. The primary outcome measured was the change in vegetation size. We also assessed secondary measures including pathogen identified, the valve involved, complications, and associated IDU and any co-infections. Results 31 patients fulfilled the study criteria and showed an initial mean vegetation size of 170mm upon initial echocardiography. The follow-up size after antibiotic treatment was 78mm suggesting a statistically significant relationship between antibiotic completion and reduction in vegetation size. (p-value 0.005). T-Test was used for subgroup analysis and showed that the initial size of vegetations was significantly larger in IDUs (311) when compared to non-IDU (92)(p-value= 0.026).Patients who had embolic phenomena had significantly larger initial vegetations than those with no embolic complication. Initial vegetation size was significantly larger for people with embolic complications (308 mm vs 82.65 mm, p-value 0.013).We also found that patients with Staphylococcal endocarditis had larger vegetations than those with non-staphylococcal endocarditis (264 vs 39, p-value 0.001). and treatment led to a larger decrease in vegetation size (152 vs 7, p value 0.007) Conclusion Our small study suggests that successful treatment of NVIE does lead to a decrease in vegetation size though resolution of the vegetation does not occur. We also found that embolic phenomenon tended to occur with larger vegetations with our study suggesting that a vegetation > 3 cm was more likely to embolize. Our study also shows that vegetations in NVIE in injection drug users were larger than those in non-IDU and vegetation size is larger in patients with staphylococcal endocarditis however successful treatment in these patients also leads to a larger decrease in size of these vegetations Disclosures All Authors: No reported disclosures
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Khan, Asim, Warda Asim, Anwaar Ulhaq i Randall W. Robinson. "A deep semantic vegetation health monitoring platform for citizen science imaging data". PLOS ONE 17, nr 7 (27.07.2022): e0270625. http://dx.doi.org/10.1371/journal.pone.0270625.
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Automated monitoring of vegetation health in a landscape is often attributed to calculating values of various vegetation indexes over a period of time. However, such approaches suffer from an inaccurate estimation of vegetational change due to the over-reliance of index values on vegetation’s colour attributes and the availability of multi-spectral bands. One common observation is the sensitivity of colour attributes to seasonal variations and imaging devices, thus leading to false and inaccurate change detection and monitoring. In addition, these are very strong assumptions in a citizen science project. In this article, we build upon our previous work on developing a Semantic Vegetation Index (SVI) and expand it to introduce a semantic vegetation health monitoring platform to monitor vegetation health in a large landscape. However, unlike our previous work, we use RGB images of the Australian landscape for a quarterly series of images over six years (2015–2020). This Semantic Vegetation Index (SVI) is based on deep semantic segmentation to integrate it with a citizen science project (Fluker Post) for automated environmental monitoring. It has collected thousands of vegetation images shared by various visitors from around 168 different points located in Australian regions over six years. This paper first uses a deep learning-based semantic segmentation model to classify vegetation in repeated photographs. A semantic vegetation index is then calculated and plotted in a time series to reflect seasonal variations and environmental impacts. The results show variational trends of vegetation cover for each year, and the semantic segmentation model performed well in calculating vegetation cover based on semantic pixels (overall accuracy = 97.7%). This work has solved a number of problems related to changes in viewpoint, scale, zoom, and seasonal changes in order to normalise RGB image data collected from different image devices.
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Adinda, Riska, Muhammad Rusdi i Sugianto Sugianto. "Pemanfaatan Indeks Vegetasi NDVI Terhadap Siklus Phenology Tanaman Padi Pada Musim Gadu 2017". Jurnal Ilmiah Mahasiswa Pertanian 5, nr 2 (1.05.2020): 301–9. http://dx.doi.org/10.17969/jimfp.v5i2.14873.
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Abstrak. Tanaman padi merupakan komoditas terpenting bagi masyarakat Indonesia. Informasi tentang siklus phenology tanaman padi dapat digunakan indeks vegetasi untuk memprediksi produksi beras, dan untuk memastikan program ketahanan pangan, terutama selama musim tanam gadu 2017. Tujuan dari penelitian ini adalah untuk mengetahui siklus phenology tanaman padi pada musim gadu 2017. Metode penelitian ini menggunakan indeks vegetasi NDVI yang disesuaikan dengan rentang nilai. Hasil penelitian menunjukkan bahwa fase awal pertumbuhan diperoleh pada bulan April dengan nilai NDVI 0,123 - 0,322 seluas 286,600 Ha, fase pertumbuhan vegetatif awal nilai NDVI -0,006 - 0,167 termasuk kedalam tingkat kehijauan sangat rendah seluas 215,129 Ha, fase vegetatif di peroleh pada bulan Juni dengan tingkat kehijauan sedang dengan nilai NDVI 0,302 - 0,429 seluas 250,094 Ha, nilai NDVI 0,276 - 0,829 dengan tingkat kehijauan tinggi termasuk kedalam fase vegetatif (fase 4) seluas 535,992 Ha, dan fase vegetatif puncak (fase 5) dengan nilai NDVI 0,384 - 0,769 termasuk dalam kriteria tingkat kehijauan tinggi seluas 535,992 Ha.Utilization of NDVI Vegetation Index For the Rice Plant Phenology Cycle of 2017 Gadu SeasonAbstract. Rice plants are the most important commodity for the people of Indonesia. Information about the phenology cycle of rice plants can be used as a vegetation index to predict rice production, and to ensure food security programs, especially during the 2017 gadu growing season. The purpose of this study is to determine the phenology cycle of rice plants in the 2017 gadu season. This research method used the index NDVI vegetation adapted to the range of values. The results showed that the initial growth phase was obtained in April with an NDVI value of 0.123 - 0.322 covering an area of 286,600 Ha, the initial vegetative growth phase of the NDVI value of -0.006 - 0.167 included in the lowest greenness level of 215.129 Ha, the vegetative phase was obtained in June with the middle level of greenness with NDVI value of 0.302 - 0.429 covering an area of 250.094 Ha, NDVI value of 0.276 - 0.829 with the highest level of greenness included in the vegetative phase (phase 4) covering 535,992 Ha, and the top vegetative phase (phase 5) with NDVI values of 0.384 - 0.769 included in the criteria of vegetative (phase 4) area of 535,992 Ha.
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Nurrachmania, Meylida, i Rozalina Rozalina. "Analysis of the Eucalyptus Crown of Clone IND 72 and IND 83 Against the Composition of Undergrowth Vegetation in PT.Toba Pulp Lestari Tbk., Habinsaran Sector of Toba Regency". JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS 8, nr 1 (7.03.2022): 166–78. http://dx.doi.org/10.36987/jpbn.v8i1.2507.
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The purpose of the study was to identify the diversity of plant types under the Eucalyptus stand and analyze the percentage of cover titled Eucalyptus Clone IND 72 and 83 against the composition of the undergrowth vegetation species in the Habinsaran sector of Toba Regency.Plot determination is done using the minimum species curve method, so that the number of PLOTS IND 72 as many as 29 plots, and IND 83 as many as 28 plots.The data taken is data on the vegetation of the undergrowth vegetatioin the form of the number and type of undergrowth vegetatio, as well as header cover data, then analyzed by calculating density, frequency, INP, and Similarity Index. There are 10 types of lower plants located in the Habinsaran Sector TPL Plant Forest of Toba Samosir Regency.The dominance of the undergrowth vegetation of each clone is occupied by boreria sp type with Important Value Index (INP) on the Stands of Eucalyptus Clone IND 72 = 67.19, and Stands Eucalyptus Clone IND 83 = 57.68.In the stands of Eucalyptus Clone IND 72 obtained a percentage of headers of 1.70% (<50%) including the category of small header cover, with a composition of undergrowth vegetation as many as 9 types, with an average density of 128.9 / ha.On the stand of Eucalytus Clone IND 83 obtained a percentage of headers of 1.80% (<50%) including the category of small header cover, with a undergrowth vegetation as many as 10 types, with an average density of 104.6/ha.
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Warren, Stuart L., Thomas J. Monaco i Walter A. Skroch. "Effect of Vegetation Management on Soil Nutrients and Nutrient Content of Herbaceous Vegetation". Journal of the American Society for Horticultural Science 112, nr 6 (listopad 1987): 962–68. http://dx.doi.org/10.21273/jashs.112.6.962.
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Abstract Seven vegetation management programs ranging from 100% cover of grass-dominated vegetation to bare soil were created on opposing north and south aspects. Nutrient contents of the herbaceous vegetation and soil were effected significantly by management programs, location in the plot (row and interrow), and time. The presence or absence of vegetation influenced vegetative uptake and leaching losses, resulting in differences among the vegetation management programs. In general, the upper soil (0- to 15-cm depth) with 100% vegetative cover contained more exchangeable Mg and less NO3 and available P than under bare soil. Exchangeable Ca was not affected by the management programs. Differences in growth form (grass or forb), perennial or annual vegetation, and percent bare soil accounted for the majority of differences in the nutrient content of the noncrop vegetation. Aspect did not affect any of the plant and soil parameters measured.
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Xu, Haitao, Peng Hou, Zhengwei He, A. Duo i Bing Zhang. "Spatiotemporal Variation Characteristics of Vegetative PUE in China from 2000 to 2015". Advances in Meteorology 2018 (28.08.2018): 1–19. http://dx.doi.org/10.1155/2018/5636932.
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Vegetative precipitation-use efficiency (PUE) is a key indicator for evaluating the dynamic response of vegetation productivity to the spatiotemporal variation in precipitation. It is also an important indicator for reflecting the relationship between the water and carbon cycles in a vegetation ecosystem. This paper uses data from MODIS Net Primary Production (NPP) and China’s spatial interpolation data for precipitation from 2000 to 2015 to calculate the annual value, multiyear mean value, interannual standard deviation, and interannual linear trend of Chinese terrestrial vegetative PUE over the past 16 years. Based on seven major administrative regions, eleven vegetation types, and four climate zones, we analyzed the spatiotemporal variation characteristics of China’s vegetative PUE. The research results are shown as follows: (1) China’s vegetative PUE shows obvious spatial variation characteristics, and it is relatively stable interannually, with an overall slight increasing trend, especially in Northwest and Southwest China. The vegetative PUE is higher, and its stability is declined in Xinjiang, western Gansu, and the southern Tibetan valley. The vegetative PUE is lower, and its stability is increased in northeastern Tibet and southwestern Qinghai. An increasing trend in vegetative PUE is obvious at the edge of the Tarim Basin, in western Gansu, the southern Tibetan valley, and northwestern Yunnan. (2) There is a significant difference in the PUEs among different vegetation types. The average PUE of Broadleaf Forest is the highest, and the average PUE of Alpine Vegetation is the lowest. The stability of the PUE of Mixed Coniferous and Broadleaf Forest is declined, and the stability of the PUE of Alpine Vegetation is increased. The increasing speed of the PUE of Grass-forb Community is the fastest, and the decreasing speed of the PUE of Swamp is the fastest. (3) There is a significant difference in the PUEs among different vegetation types in the same climate zone, the difference in vegetative PUE in arid and semiarid regions is mainly affected by precipitation, and the difference in vegetative PUE in humid and semihumid regions is mainly affected by soil factors. The PUEs of the same vegetation type are significantly different among climate zones. The average PUE of Cultural Vegetation has the largest difference, the stability of the PUE of Steppe has the largest difference, and the increasing speed of the PUE of Swamp has the largest difference.
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Jilek, Jan, Ondrej Porwisz i Martin Mohapl. "Condition of the extensive green roof of the Brno-Komín Kindergarten in winter 2 years after implementation". MATEC Web of Conferences 385 (2023): 01036. http://dx.doi.org/10.1051/matecconf/202338501036.
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The article describes the state of the vegetation layer of the extensive green roof on the kindergarten building in Brno-Komín. Due to the low temperatures, some plants are in a vegetative rest. On the contrary, some resistant plants are in good vegetative state even during adverse climatic conditions. The green roof was implemented in 2021 and as vegetation a pre-grown vegetation carpet was used, which was grown and transported on a coconut mat.
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Mark, Morgan, Evan Drake, Kathleen Kerwin i Brooke Maslo. "Non-Native Plants Influence Forest Vegetative Structure and the Activity of Eastern Temperate Insectivorous Bats". Forests 15, nr 4 (17.04.2024): 711. http://dx.doi.org/10.3390/f15040711.
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Temperate insectivorous bats value high prey abundance and appropriate vegetative structure when selecting foraging habitats. Forests, particularly in the eastern United States, provide prime foraging habitats for bats but can be heavily impacted by non-native plants, which may alter arthropod diversity and abundance, as well as vegetative structure. To investigate the associations between non-native plants and insect abundance, vegetative structure, and, consequently, bat activity, we performed vegetation surveys, insect trapping, and acoustic monitoring at 23 forested plots in northern New Jersey, USA. We predicted that non-native vegetation would either positively influence bat activity by increasing structural openness (thus, facilitating flight) or negatively influence bat activity by lowering the abundance of putative prey. We also hypothesized that vegetative characteristics, and therefore non-native vegetation, impact bats differently depending on their foraging habitat preferences. The percent of non-native cover of the ground and midstory vegetative layers of our study plots ranged from 0 to 92.92% (x¯ = 46.94 ± 5.77 SE) and was significantly correlated with structural vegetative characteristics, such as midstory clutter (β = 0.01 ± 0.006 SE), but not putative prey abundance (β = −0.81 ± 2.57 SE). Generalized linear models with only vegetative characteristics best predicted overall bat activity and foraging, which were greatest in areas with a high percent non-native vegetation and low midstory clutter. Although percent non-native vegetation and midstory clutter were also significant effects for bats that prefer to forage in open areas, neither vegetative characteristics nor prey abundance were significant effects for clutter-loving bats. Such findings suggest that vegetative structure is more important than prey availability for predicting overall insectivorous bat activity, but other factors, such as foraging strategy and life history traits, can impact how bat guilds respond to non-native vegetation. Therefore, more research is required to reveal additional mechanisms by which non-native plants impact bats.
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DUBEY, R. C., S. D. GAIKWAD, V. S. NAWATHE, R. G. DEKHANE i S. N. BIDYANTA. "Spectral radiance characteristics and vegetative indices of crops -A ground based remote sensing technique". MAUSAM 46, nr 1 (1.01.2022): 75–80. http://dx.doi.org/10.54302/mausam.v46i1.3186.
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The spectral radiance characteristics and vegetation indices like simple difference, ratio vegetation, normalised vegetation perpendicular vegetation transformed vegetation and tasseled cap transformation of mung been sunflower and groundnut crops at different growth stages have been studied. The experiment was conducted in post rainy season during 1990-91 in the farm of Agricultural College. Pune using hand held multi-spectral radiometer. The significance of spectral variation of radiance and vegetative indices with respect to the phenological stages are discussed.
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De Sousa Teixeira, David Bruno. "Correlation between precipitation and vegetation indexes under preserved Caatinga condition". Journal of Hyperspectral Remote Sensing 7, nr 1 (12.07.2017): 21. http://dx.doi.org/10.29150/jhrs.v7.1.p21-30.
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The remote sensing techniques have been improved during the last few years, and vegetation indexes have become an increasingly used instrument for the evaluation of landscape units, for instance, the Caatinga's biome. Thus, some indexes such as the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI) and the Leaf Area Index (LAI) are important tools in the study of the vegetation's behavior under the most different climatic conditions, especially in regions of the Brazilian semiarid that have scarce and poorly distributed rains, concentrated in the first half of the year. The objective of this research is to evaluate the influence of precipitation in the behavior of preserved Caatinga's vegetation through vegetation indexes using satellite images. For this, rainfall data of the Aiuaba Experimental Basin (AEB) provided by FUNCEME for the years 2003, 2004 and 2005, were analyzed. In conclusion, there is a strong correlation between rainfall precipitation and the increasing of the vegetation cover in the studied area, showing that the vegetation indexes can be considered as efficient parameters to evaluate the vegetation's behavior under preserved Caatinga condition.
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DVIVEDI, Ashish, Sumit SRIVASTAVA i Ravindra Prasad SHUKLA. "Climber Diversity across Vegetational Landscape of North-Eastern Uttar Pradesh, India". Notulae Scientia Biologicae 8, nr 4 (16.12.2016): 489–97. http://dx.doi.org/10.15835/nsb849921.
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The composition and diversity of climbers among grassland, wasteland and forest vegetations was examined with respect to their woodiness, climbing mode and circumnutation pattern across the vegetational landscape of north-eastern Uttar Pradesh during 2011-2015. A total of 111 climbers, constituting 63 lianas and 48 vine species, under 35 families, were recorded. The forest and wasteland vegetation were quite similar in regard with climber diversity. Family Convolvulaceae included a maximum of 19 climbers. Majority of twining climbers showed right-handed twining. The wasteland vegetation was most suitable and quite similar to forest habitat for vines as well as for lianas. The right handed circumnutation was the dominant pattern among the twiners of the region. Local climbing flora provides considerable natural resource to the region. They often create special micro-habitats and increase the complexity of the ecosystem.
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Vitz, Andrew C., i Amanda D. Rodewald. "Vegetative and Fruit Resources as Determinants of Habitat use by Mature-Forest Birds During the Postbreeding Period". Auk 124, nr 2 (1.04.2007): 494–507. http://dx.doi.org/10.1093/auk/124.2.494.
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AbstractRecent studies have demonstrated that many birds of mature forests heavily use early-successional habitat during the postbreeding period. Two frequently invoked hypotheses to explain these shifts are that postbreeding birds select (1) dense cover to reduce risk of predation and (2) abundant fruit resources to facilitate foraging. Using mist nets between 15 June and 16 August in 2002 and 2003, we captured mature-forest birds during the postbreeding period in 12 regenerating hardwood clearcuts (three to seven years old) in southeast Ohio. Vegetation structure and fruit resources were measured at nine net locations within each clearcut. We applied an information-theoretic approach, where we used vegetative and fruit variables as predictors in seven a priori models to evaluate how habitat factors might explain capture rates. In two seasons, we captured 1,089 hatch-year (HY) and 445 after-hatch-year (AHY) postbreeding birds of 32 mature-forest species. In general, models reflecting habitat structure (density of low vegetation, canopy height) best explained variation in capture rates, which were negatively related to the density of low vegetation (<1.5 m) and positively related to canopy height. Extremely dense low vegetation may be disadvantageous if it inhibits movements and provides cryptic locations for ground predators. Instead, habitats with greater vertical structure (e.g., taller vegetation) and relatively less dense low vegetation below may provide better protection from aerial and ground predators. Overall, results suggest that vegetation structure may explain high use of early-successional forests by many birds during the postbreeding period, though fruit may be the most important factor for seasonal frugivores.Recursos Vegetativos y de Frutos como Determinantes del Uso de Hábitat por Aves de Bosque Maduro Durante el Período Posterior a la Reproducción
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Jiang, Qinhua, i Dolores R. Piperno. "Environmental and Archaeological Implications of a Late Quaternary Palynological Sequence, Poyang Lake, Southern China". Quaternary Research 52, nr 2 (wrzesień 1999): 250–58. http://dx.doi.org/10.1006/qres.1999.2070.
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Paleoecological data from Poyang Lake, southern China, indicate that significant natural and human-induced vegetational changes have occurred during the Late Quaternary in the Middle Yangtze River valley, the likely location of rice (Oryza sativa L.) domestication. During the late Pleistocene (from ca. 12,830 to ca. 10,500 yr B.P.), the climate was cooler and drier than today's. The subtropical, mixed deciduous–evergreen broad-leaved forest which constitutes the modern, potential vegetation was reduced and herbaceous vegetative cover expanded. A hiatus in sedimentation occurred in Poyang Lake, beginning sometime after ca. 10,500 yr B.P. and lasting until the middle Holocene (ca. 4000 yr B.P.). At ca. 4000 yr B.P., the regional vegetation was a diverse, broad-leaved forest dominated by many of the same arboreal elements (e.g., Quercus, Castanopsis, Liquidambar) that grow in the area today. A significant reduction of arboreal pollen and an increase of herbaceous pollen at ca. 2000 yr B.P. probably reflect human influence on the vegetation and the expansion of intensive rice agriculture into the dryland forests near the river valleys.
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Fan, Wen Yi, Ming Ze Li i Ying Yu. "Quantitative Retrieving of Vegetation Factors for Desertification Area". Advanced Materials Research 183-185 (styczeń 2011): 376–80. http://dx.doi.org/10.4028/www.scientific.net/amr.183-185.376.
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Quantitative RSIM (Remote Sensing Information Model) was studied to retrieve the vegetation factors (vegetation cover and biomass) for desertification assessment by using the data of state-produced hyperspectral resolution imagining spectrometer (OMIS-I), and the corresponding vegetation factors recoding maps based on pixel were obtained. The result shows that it is reliable to retrieve quantitatively the vegetation cover and the biomass by the data of hyperspectral resolution imagining spectrometer. When there are both the shrub and the grassland in the retrieved region, the precision of the polynomial model is obvious higher than that of the linear model, contrastingly when the type of the vegetations is simplification, the linear model has the higher precision. The quantitative retrieving of the vegetation factors are related to the vegetation type.
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Suarmadi, Fendra, Sri Wahyuni i Willybrordus Lanamana. "Studi Keragaman Mesofauna Tanah Pada Beberapa Vegetasi Di Kawasan Taman Nasional Kelimutu". AGRICA 4, nr 2 (22.07.2020): 112–26. http://dx.doi.org/10.37478/agr.v4i2.456.
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The goal of this research was to understand the diversity of soil mesofauna native to different plant habitats in the area of Kelimutu National Park and to understand how the dominant soil mesofaunal populations vary depending on vegetative diversity. This research was conducted in a number of different vegetation habitat zones according to the intensity of land use in the area of Kelimutu National Park and in the laboratories at the University of Flores in the city of Ende. This research was designed in a linear method and sampled vegetation from areas labelled VR (Vacciniumvaringiaefoliumdan Rhododendron renschiamum), VCa (mixed forest) and VC (coniferous forest). The results of this research show that the area near Kelimutu National Park contains low to medium diversity. Low diversity was observed in areas with vegetation VR with5 types of soil mesofauna (H’:1.153) whereas medium diversity was observed in areas with vegetation VCa, with researchers finding 7 types of soil mesofauna (H’:1.771). Six types of soil mesofauna were found in areas with vegetation type VC (H’:1.727). Vegetative diversity was found to be linked to the increasing dominance of soil mesofauna in the area of Kelimutu National Park. The highest value of vegetative diversity was (H’:1.821), found in area VCa with the dominance of soil mesofauna (E:0,85). For area VR, the vegetative diversity was (H’:1,771) with a dominant soil mesofauna value of (E:0.72) and for vegetation VC the vegetative diversity was (H’:0.861) with dominant soil mesofauna value of (E: 0,28).
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Stelmaszczyk, Mateusz, Tomasz Okruszko i Patrick Meire. "Nutrients availability and hydrological conditions of selected wetland ecosystems in the Biebrza river valley". Annals of Warsaw University of Life Sciences, Land Reclamation 47, nr 1 (1.03.2015): 3–17. http://dx.doi.org/10.1515/sggw-2015-0010.
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Abstract: Nutrients availability and hydrological conditions of selected wetland ecosystems in the Biebrza river valley. Paper presents results of investigation of hydrological conditions and nutrients limitation and availability for wetland vegetation in selected sites within Biebrza river valley. Analysed sites were overgrown by tall sedge Magnocaricion vegetation (Caricetum gracilis and Caricetum elatae), wet meadow Molinio-Arrhenatheretea vegetation (Molinietum caeruleae), and sedge-moss Scheuchzerio-Caricetea nigrae vegetation (Caricetum lasiocarpae). There were noted a close relationship between vegetation types, hydrological regimes and kind of nutrient limitation. Low productive Molinio-Arrhenatheretea and Scheuchzerio-Caricetea nigrae vegetations fed mainly by groundwater were limited by phosphorus, while highly productive Magnocaricion vegetation, fed by river water, was subjected to nitrogen limitation. We have found big diversification of groundwater and surface water levels within habitats of different vegetation types along the Biebrza river valley. Magnocaricion vegetation present on flooded areas is characterized by significant water level fluctuations and long-lasting inundations. On areas covered by Molinio-Arrhenatheretea vegetation we noted majority of water levels not exceeding the level of the ground surface. Whereas Scheuchzerio-Caricetea nigrae vegetation, fed by groundwater, is characterized by low variation of groundwater levels.
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Priya, M. V., R. Kalpana, S. Pazhanivelan, R. Kumaraperumal, K. P. Ragunath, G. Vanitha, Ashmitha Nihar, P. J. Prajesh i Vasumathi V. "Monitoring vegetation dynamics using multi-temporal Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images of Tamil Nadu". Journal of Applied and Natural Science 15, nr 3 (19.09.2023): 1170–77. http://dx.doi.org/10.31018/jans.v15i3.4803.
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Vegetation indices serve as an essential tool in monitoring variations in vegetation. The vegetation indices used often, viz., normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were computed from MODIS vegetation index products. The present study aimed to monitor vegetation's seasonal dynamics by using time series NDVI and EVI indices in Tamil Nadu from 2011 to 2021. Two products characterize the global range of vegetation states and processes more effectively. The data sources were processed and the values of NDVI and EVI were extracted using ArcGIS software. There was a significant difference in vegetation intensity and status of vegetation over time, with NDVI having a larger value than EVI, indicating that biomass intensity varies over time in Tamil Nadu. Among the land cover classes, the deciduous forest showed the highest mean values for NDVI (0.83) and EVI (0.38), followed by cropland mean values of NDVI (0.71) and EVI (0.31) and the lowest NDVI (0.68) and EVI (0.29) was recorded in the scrubland. The study demonstrated that vegetation indices extracted from MODIS offered valuable information on vegetation status and condition at a short temporal time period.
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Nadia, Z., S. Warno i T. Waryono. "Spatial Analysis of Universitas Indonesia (UI) Urban Forest Microclimate and Its Biodiversity". IOP Conference Series: Earth and Environmental Science 940, nr 1 (1.12.2021): 012003. http://dx.doi.org/10.1088/1755-1315/940/1/012003.
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Abstract Universitas Indonesia (UI) Urban Forest is located in the middle of an urban area. Vegetation analysis is one way to define the vegetation health to reach the urban forest sustainability. On the other hand, the vegetation analysis in UI Urban Forest was done thirteen years ago and needed to be updated. Moreover, there has not been vegetation analysis yet of UI Urban Forest using remote sensing combining the microclimate also biodiversity. This research method combines remote sensing and primary data collection. It classify the Landsat 8 (OLI) to the NDVI as the unit analysis (low, medium, high). Primary data collection started by random stratified sampling with a sampling intensity of 0.77% (18 plots), where in each plot, the temperature-humidity was measured, and the vegetation and bird were identified. As a result, the map of temperature and humidity was produced, and it correlates to the vegetation cover where the vegetation is high, the temperature is low, and the humidity is high. On the other hand, the vegetation structure and composition were analyzed. In conclusion, there is a significant difference between the NDVI vegetation class to the UI Urban Forest microclimate and its biodiversity (vegetations and birds).
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McPherson, Renee A. "A review of vegetation—atmosphere interactions and their influences on mesoscale phenomena". Progress in Physical Geography: Earth and Environment 31, nr 3 (czerwiec 2007): 261–85. http://dx.doi.org/10.1177/0309133307079055.
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Vegetation strongly influences exchanges of energy and moisture between land and atmosphere through (1) the vegetation's response to incoming radiation and its emission of longwave radiation (2) the vegetation's physical presence, and (3) the plant's transpiration. These processes affect the diurnal temperature range, processes in the atmospheric boundary layer, cloud cover, rainfall, differential heating, and atmospheric circulations. This paper overviews how vegetation interacts with surface energy and moisture budgets and reviews both observational and modelling studies that examine how vegetation affects weather and climate on the mesoscale (ie, phenomena 10s to 100s of kilometres in horizontal size).
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Xu, Di, Ruishan Chen, Xiaoshi Xing i Wenpeng Lin. "Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis". Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/5032091.
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Vegetation plays an important role in the energy exchange of the land surface, biogeochemical cycles, and hydrological cycles. MODIS (MODerate-resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) is considered as a quantitative indicator for examining dynamic vegetation changes. This paper applied a new method of integrated empirical orthogonal function (EOF) and temporal unmixing analysis (TUA) to detect the vegetation decreasing cover in Jiangsu Province of China. The empirical orthogonal function (EOF) statistical results provide vegetation decreasing/increasing trend as prior information for temporal unmixing analysis. Temporal unmixing analysis (TUA) results could reveal the dominant spatial distribution of decreasing vegetation. The results showed that decreasing vegetation areas in Jiangsu are distributed in the suburbs and newly constructed areas. For validation, the vegetation’s decreasing cover is revealed by linear spectral mixture from Landsat data in three selected cities. Vegetation decreasing areas pixels are also calculated from land use maps in 2000 and 2010. The accuracy of integrated empirical orthogonal function and temporal unmixing analysis method is about 83.14%. This method can be applied to detect vegetation change in large rapidly urbanizing areas.
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Küzmič, Filip, Urban Šilc, Zdeňka Lososová, Ladislav Mucina, Milan Chytrý, Ilona Knollová, Stephan M. Hennekens i in. "European Weed Vegetation Database – a gap-focused vegetation-plot database". Phytocoenologia 50, nr 1 (28.04.2020): 93–100. http://dx.doi.org/10.1127/phyto/2019/0337.
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Barabash, Oleg, Olena Bandurka, Vadim Shpuryk i Olha Svynchuk. "Information system of analysis of geodata for tracking changes of vegetation". Advanced Information Systems 5, nr 4 (20.12.2021): 17–25. http://dx.doi.org/10.20998/2522-9052.2021.4.03.
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The rapid growth of geo-information technology capabilities in the field of spatial data processing and analysis has led to a significant growth of the role of geo-information systems in different areas of human activity. Application of approaches to spatial information processing from satellites new for more effective and efficient assessment of the state of plant cover is caused by growing tendency of availability to data of Earth remote sensing. The article offers an information system that allows to quickly and conveniently track changes in the vegetation. The analysis was carried out on the example of the Chornobyl Area between 2000 and 2020. The Chornobyl Disaster coincides with the period of intensive vegetative plant development. During that period, they are most sensitive to radiation. It has been established that for defining the quantitative state of biomass the NDVI index at different time intervals is most often used. But this index becomes ineffective during periods of weakening of active phase of vegetation. This is therefore of practical interest to assess the possibility of using the K-means clustering for the analysis of space images of vegetation cover at different phases of vegetation. As a result of the research, water surface, land with and without vegetation has been correctly interpreted, thus determining the land with a sparse vegetation and dense vegetation cover. The maps of the vegetation cover according to the normalized vegetative index using the K-medium method were constructed, the method by which changes in vegetation over 20 years can be clearly observed. The accuracy results were verified with the Common Method Bias. According to the calculations, despite all natural cataclysms (temperature increase, drought, winter anomalies of precipitations and temperatures, storms, forest fires), as well as human activity (sanitary clear cuttings, illegal logging), vegetation in the Chornobyl zone continues to grow and its areas will increase, although not so quickly.
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Li, Ming, Chenhao Ge, Shengwei Zong i Guiwen Wang. "Drought Assessment on Vegetation in the Loess Plateau Using a Phenology-Based Vegetation Condition Index". Remote Sensing 14, nr 13 (24.06.2022): 3043. http://dx.doi.org/10.3390/rs14133043.
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Frequent droughts induced by climate warming have caused increasing impacts on the vegetation of the Loess Plateau (LP). However, the effects of drought on vegetation are highly dependent on when the drought occurs and how long it lasts during the growing season. Unfortunately, most of the existing drought indices ignore the differences in the drought effects on different vegetation growth stages. In this study, we first established a phenology-based vegetation condition index, namely weighted vegetation condition index (WVCI), which accounts for the differences in vegetation sensitivity to drought by assigning specific weights to different phenological stages of vegetation. Then, we used the WVCI to reveal the temporal and spatial variations in vegetative drought from 2001 to 2019 over the LP from the aspects of drought frequency, trend and relative deviation. The results showed that (1) the LP experienced frequent droughts during the study period, but mainly mild and moderate droughts. The drought frequencies decreased from southeast to northwest, and extreme droughts rarely occurred in mountainous areas and plains. (2) The droughts in most areas of the LP tended to ease, and only a few areas in the Hetao Plain, Ningxia Plain and Fenwei Plain showed an increasing trend of drought. (3) After 2012, the departure percentage of WVCI in most areas of the LP was positive, indicating above-average vegetation conditions. (4) Compared with the well-established vegetation condition index, the WVCI proved to have the ability to monitor and assess vegetative drought on an annual scale in the LP. As a result, our research could help develop and implement drought-resistance and disaster-prevention measures on the LP.
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Starke, J., T. A. Ehlers i M. Schaller. "Latitudinal effect of vegetation on erosion rates identified along western South America". Science 367, nr 6484 (19.03.2020): 1358–61. http://dx.doi.org/10.1126/science.aaz0840.
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Vegetation influences erosion by stabilizing hillslopes and accelerating weathering, thereby providing a link between the biosphere and Earth’s surface. Previous studies investigating vegetation effects on erosion have proved challenging owing to poorly understood interactions between vegetation and other factors, such as precipitation and surface processes. We address these complexities along 3500 kilometers of the extreme climate and vegetation gradient of the Andean Western Cordillera (6°S to 36°S latitude) using 86 cosmogenic radionuclide–derived, millennial time scale erosion rates and multivariate statistics. We identify a bidirectional response to vegetation’s influence on erosion whereby correlations between vegetation cover and erosion range from negative (dry, sparsely vegetated settings) to positive (wetter, more vegetated settings). These observations result from competing interactions between precipitation and vegetation on erosion in each setting.
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McGeehan, Steven L. "Impact of Waste Materials and Organic Amendments on Soil Properties and Vegetative Performance". Applied and Environmental Soil Science 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/907831.
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Waste materials, and materials derived from wastes, possess many characteristics that can improve soil fertility and enhance crop performance. These materials can be particularly useful as amendments to severely degraded soils associated with mining activities. This study evaluated biosolids, composts, log yard wastes, and two organic soil treatments for improved soil fertility and vegetative performance using side-by-side comparisons. Each plot was seeded with a standardized seed mix and evaluated for a series of soil chemical and physical parameters, total vegetation response, species diversity, ecological plant response, and invasion indices. All treatments were successful at improving soil fertility and promoting a self-sustaining vegetative cover. The level of available nitrogen had a strong impact on vegetative coverage, species distribution, and extent of unseeded vegetation. For example, high nitrogen treatments promoted a grass-dominated (low forb) plant community with a low content of unseeded vegetation. In contrast, low nitrogen treatments promoted a more balanced plant community with a mixture of grass and forb species and greater susceptibility to unseeded vegetation establishment.
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Aktepe, Nursema, i Ömer Küçük. "Allelopathic Mechanisms in Fire-Prone Ecosystems". Turkish Journal of Agriculture - Food Science and Technology 9, nr 6 (3.07.2021): 1100–1105. http://dx.doi.org/10.24925/turjaf.v9i6.1100-1105.4288.
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Understanding the fire-prone arid-zone pine species and maquis vegetation's response to fire is very important to reveal the ecology and evolution of these species. During the succession of vegetation, there are complex relationships between allelopathic metabolites and fires. Many plant communities such as pines, maquis, savannas and woodlands are known to play a critical role in the development of succession. However, studies revealing the relationship between succession processes and allelopathic mechanisms in fire-prone ecosystems are quite limited. Most evergreen maquis vegetations are one of the most studied fire ecosystems. In maquis vegetation, fire causes the formation of plant communities that continue with allelochemicals produced by plants, as well as shaping the climate of the region. The event of a living species inhibiting another species by secreting toxic compounds is expressed as allelopathy. These toxic compounds are generally referred to as allelochemicals. Many maquis species that grow in fire-prone ecosystems excrete their allelochemicals, preventing the development of herbaceous species around them and invade their habitats. These chemicals, which accumulate in the soil during the dry season, affect the succession processes in vegetation in the event of a fire and determine which species will follow each other. Considering these relationships, it can be said that allelopathic plants have the potential to change plant diversity in vegetation by changing their functional plant characteristics. The purpose of this review is to determine the relationship between allelochemicals and fire of plant species in fire-prone ecosystems, and to reveal how this affects the succession processes.
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Michl, Thomas. "Vegetation DatabaseMulgedio-Aconiteteaand Related Vegetation Types". Biodiversity & Ecology 4 (10.09.2012): 324. http://dx.doi.org/10.7809/b-e.00117.
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Aćić, Svetlana, Milicia Petrović, Urban Šilc i Zora Dajić Stevanović. "Vegetation Database Grassland Vegetation of Serbia". Biodiversity & Ecology 4 (10.09.2012): 418. http://dx.doi.org/10.7809/b-e.00206.
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VAN DER MAAREL, EDDY. "Vegetation dynamics and dynamic vegetation science*". Acta Botanica Neerlandica 45, nr 4 (grudzień 1996): 421–42. http://dx.doi.org/10.1111/j.1438-8677.1996.tb00804.x.
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Panwar, Vijender, i M. K. Gupta. "Soil Fertility Status under Important Agroforestry Tree Species in Himachal Pradesh". Indian Journal of Forestry 37, nr 2 (1.06.2014): 137–42. http://dx.doi.org/10.54207/bsmps1000-2014-owyu6a.
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A study was conducted to evaluate the soil fertility status under six different agroforestry species in Himachal Pradesh. Soil reaction was found to be nearly neutral under all the vegetations with lesser variability which showed pH stability. Bulk density was observed lower in the soils under different vegetations as compared to control in all the depths. Organic carbon and organic matter was higher in the soils under different vegetation as compared to control. Organic carbon was decreasing down the profile under all the vegetation and maximum in upper layers. Among the vegetations, maximum (1.38 %) organic carbon was observed in the soils under Bauhinia variegata followed by Morus alba (1.33 %), Grewia optiva (1.30 %), Toona ciliata (1.28 %), Albizia chinensis (1.22 %) and the least was under Celtris australis (1.20 %). The availability of nitrogen was higher in the surface soils under different vegetations in comparison to soils without any vegetation. The pattern of availability of phosphorous and its distribution in soil profile was therefore similar to that of organic carbon and nitrogen. Ex. potassium content varied from (97.17 kg/ha to 195.29 kg/ha) in all the depths under different vegetation, as compared to control (83.27 kg/ha to 139.87 kg/ha). pH and bulk density under barren land was statistically different at 0.05 level with the pH and bulk density under different plantations. Organic carbon in the soils under barren land showed statistically significant differences with the soils under different plantations.
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Fortes, Andre Araujo, Masakazu Hashimoto, Keiko Udo i Ken Ichikawa. "Satellite and UAV derived seasonal vegetative roughness estimation for flood analysis". Proceedings of IAHS 386 (19.04.2024): 203–8. http://dx.doi.org/10.5194/piahs-386-203-2024.
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Abstract. One of the purposes of river management is the disaster protection of the nearby population. The effect of riparian vegetation on hydraulic resistance and conveyance capacity makes it a vital parameter for this purpose. With remote sensing techniques, vegetation information can be estimated. This paper's objective is to combine UAV and satellite imagery to obtain vegetation parameters with moderate resolution for hydraulic modeling, and to assess the seasonal effect of the vegetation on the Manning coefficient. Typhoon Hagibis was simulated with a 2D hydraulic model with a dynamic vegetative roughness estimation routine. Results demonstrate that this method achieved less error than the traditional static roughness value method of hydraulic modeling. The seasonal effect of the vegetation on the roughness was shown by a relationship between the percentage of vegetation cover and the average Manning in the stretch.
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Buiting, A. G. M., J. Thompson, D. van der Keur, W. C. Schmal-Bauer i R. M. Bertina. "Procoagulant Activity of Endocardial Vegetations and Blood Monocytes in Rabbits with Streptococcus sanguis Endocarditis". Thrombosis and Haemostasis 62, nr 03 (1989): 1029–33. http://dx.doi.org/10.1055/s-0038-1651047.
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SummaryTo investigate activation of the coagulation system in bacterial endocarditis, we determined the procoagulant activity of blood monocytes isolated from rabbits with Streptococcus sanguisinfected or sterile catheter-induced endocardial vegetations. This activity was determined directly after isolation from the peripheral blood and after stimulation in vitro by either endotoxin or by phagocytosis of S. sanguis. The procoagulant activity of the vegetations of these rabbits was also determined.The procoagulant activity of blood monocytes of rabbits with S. sanguis endocarditis was found to be similar to the activity of monocytes of rabbits with sterile vegetations, both at the time of isolation and after stimulation in vitro by exposure to endotoxin or phagocytosis of bacteria. The procoagulant activity of infected vegetations was significantly higher than that of sterile vegetations. We conclude that in bacterial endocarditis the coagulation system is activated locally at the site of the vegetation. Triggering probably occurs by thromboplastin generated by monocytes activated by phagocytosis of bacteria on the vegetational surface.
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Kazmi, Tehmina, Safia Khan, S. Salman A. Shah, Uzma Kazmi, Maisam Kazmi i Syed Najam Hyder. "Infective Endocarditis in Children with Isolated VSD: A Single Center Study". Pakistan Journal of Medical and Health Sciences 16, nr 1 (18.01.2022): 152–54. http://dx.doi.org/10.53350/pjmhs22161152.
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Aim: To determine the characteristics of isolated ventricular septal defect (VSD) in association with infective endocarditis (IE) among children with isolated VSD and its outcome. Method: This was cross-sectional study. Data was collected prospectively from infective endocarditis patients with isolated ventricular septal defect (VSD), admitted in pediatric cardiology ward of The Children’s hospital and Institute of Child Health, Lahore. Study period was from September 2018 till March 2021. The data was analyzed by using SPSS-26. Result: Sixty patients of ventricular septal defect (VSD) with infective endocarditis (IE), fulfilling the inclusion criteria, were included in the current study. Mostly about 60% were male. Transthoracic Echocardiography was done for all the patients. Single vegetation was found among 68.3%, rest were having multiple vegetations. seen. Approximately 57% were having small size vegetations while remaining 43% were with moderated – large vegetations. Complications were reported in only 18% of the study population. Regarding outcome majority of the patients (90%) were successfully treated with medical management alone, while only 8.3% required surgical intervention as well. Only 1 out of 60 patients included in the study was expired. Characteristic of VSD, size of vegetation, and number of vegetations have significant influence on development of complications (p = <0.05). Conclusion: Risk of complications among infective endocarditis with isolated VSD is comparatively greater with large vegetation and multiple number of vegetations as compared to single or small vegetation. Medical management is main stay of treatment while surgical intervention is usually required among infective endocarditis patients with DCSA-VSD & subaortic-VSD. Key words: Ventricular septal defect (VSD), DCSA (doubly committed sub-arterial) VSD, Infective endocarditis (IE).
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V, CHELLAMUTHU. "APPLICATION OF REMOTE SENSING TO STUDY ENVIRONMENT AND ECOSYSTEM. A CASE STUDY OF FOREST VEGETATION USING DIGITAL ANALYSIS". Madras Agricultural Journal 84, March (1997): 146–49. http://dx.doi.org/10.29321/maj.10.a00857.
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Seven types of vegetations viz., sal forest, sal mixed forest, moist mixed forest, dry mixed forest, seral vegetation, high grass and low grass, were identified and delineated by visual interpretation of satellite data (Landsat TM-FCC 1:50,000 scale). However, there was difficulty in delineating agricultural/fallow lands by visual interpretation. But in computer aided digital analysis, in addition to all the seven vegetations identified through visual interpretation, agricultural fallow lands were identified and demarcated in view of better separability of tonal variations. Comparison of visual interpretation and digital analysis methods revealed that there was no significant difference between these two methods of analysis as far as total areal extent of the study area was concerned. However, there were differences between the two methods of analysis regarding the areal extent of different vegetation/forest types identified within the study area. If situations warrants use of single band data for vegetation studies, we can use band 5 data of Landsat TM as it was able to give better spectral separability among different vegetations.
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Miloua, Hadj. "Numerical Prediction of the Fire Spread in Vegetative Fuels Using NISTWFDS Model". International Journal of Engineering Research in Africa 20 (październik 2015): 177–92. http://dx.doi.org/10.4028/www.scientific.net/jera.20.177.
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Current study focuses to the application of an advanced physics-based (reaction–diffusion) fire behavior model to the fires spreading through surface vegetation such as grasslands and elevated vegetation such as trees present in forest stands. This model in three dimensions, called Wildland Fire Dynamics Simulator WFDS, is an extension, to vegetative fuels, of the structural FDS developed at NIST. For simplicity, the vegetation was assumed to be uniformly distributed in a tree crown represented by a well defined geometric shape. This work on will focus on predictions of thermal function such as the radiation heat transfer and and thermal function for diverse cases of spatial distribution of vegetation in forest stands. The influence of wind, climate characteristics and terrain topography will also be used to extend and validate the model. The results obtained provide a basis to carry out a risk analysis for fire spread in the studied vegetative fuels in the Mediterranean forest fires.
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Gouveia, C. M., A. Bastos, R. M. Trigo i C. C. DaCamara. "Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula". Natural Hazards and Earth System Sciences 12, nr 10 (19.10.2012): 3123–37. http://dx.doi.org/10.5194/nhess-12-3123-2012.
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Abstract. The present work aims to study the combined effect of drought and large wildfires in the Iberian Peninsula relying on remotely sensed data of vegetation dynamics and leaf moisture content, in particular monthly NDVI, NDWI and NDDI time series from 1999–2009, derived from VEGETATION dataset. The impact of the exceptional 2004/2005 drought on vegetation was assessed for vegetation recovering from the extraordinary fire season of 2003 and on the conditions that contributed to the onsetting of the fire season of 2005. Drought severity was estimated by the cumulative negative effect on photosynthetic activity (NDVI) and vegetation dryness (NDDI), with about 2/3 of Iberian Peninsula presenting vegetative stress and low water availability conditions, in spring and early summer of 2005. Furthermore, NDDI has shown to be very useful to assess drought, since it combines information on vegetation and water conditions. Moreover, we show that besides looking at the inter-annual variability of NDVI and NDDI, it is useful to evaluate intra-annual changes (δNDVI and δNDDI), as indicators of change in vegetation greenness, allowing a detailed picture of the ability of the different land-cover types to resist to short-term dry conditions. In order to assess drought impact on post-fire regeneration, recovery times were evaluated by a mono-parametric model based on NDVI data and values corresponding to drought months were set to no value. Drought has shown to delay recovery times for several months in all the selected scars from 2003. The analysis of vegetation dynamics and fire selectivity in 2005 suggests that fires tended to occur in pixels presenting lower vegetative and water stress conditions during spring and early summer months. Additionally, pre-fire vegetation dynamics, in particular vegetation density and water availability during spring and early summer, has shown to influence significantly the levels of fire damage. These results stress the role of fuel availability in fire occurrence and impact on the Iberian Peninsula.
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Kim, Yunhee, Myeong-Hun Jeong, Minkyo Youm, Junkyeong Kim i Jinpyung Kim. "Recovery of Forest Vegetation in a Burnt Area in the Republic of Korea: A Perspective Based on Sentinel-2 Data". Applied Sciences 11, nr 6 (13.03.2021): 2570. http://dx.doi.org/10.3390/app11062570.
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Forest fires are severe disasters that cause significant damage in the Republic of Korea and the entire world, and an effort is being made to prevent forest fires internationally. The Republic of Korea budgets 3.38 million USD every year to prevent forest fires. However, an average of 430 wildfires occur nationwide annually. Thirty-eight percent of the forest fire budget is used for forest restoration. Restoring afforestation in the affected areas is a top priority. This study aimed to estimate the degree of vegetative regeneration using the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil-Adjustment Vegetation Index (SAVI), and Normalized Burn Ratio (NBR). Although many studies have used NBR with NDVI to extract plant regeneration regions, they suffer from atmospheric effects and soil brightness. Thus, this study utilizes NBR with NDVI, EVI, and SAVI to accurately select areas for targeted forest restoration. Furthermore, this study applies clustering analysis to extract the spatial boundary of vegetative regenerative regions. The proposed method suggests a pixel range of vegetation indices. These ranges can be used as an indicator, such as the NBR’s Fire Severity Level, which reflects the mountain’s local characteristics, meaning that it can be useful after forest fires. Using the three vegetation indices can extract more accurate vegetation areas than using NBR with NDVI and can help determine a forest restoration target area.
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Арефьев, С. П., i S. P. Arefiev. "Model and Analysis of Vegetative Cover Climathogenic Dynamics on the Example of the Yamal Peninsula Data". Mathematical Biology and Bioinformatics 12, nr 2 (11.08.2017): 256–72. http://dx.doi.org/10.17537/2017.12.256.
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The rule of geoinformation design of vegetation cover dynamics model due to temperature variations is considered. The construction is based on the geobotanical map of vegetation formations that determines spatial analysis detail level, and on the table of the species quantity in the surveyed area. According to the postulated assumptions, with the warming the vegetation cover state vector of the northern zone will acquire values corresponding to the vegetative image of the formation of the conjugated southern zone if they belong to the same landscape-like group. The computational analysis results of the tundra vegetation dynamics are presented for the dominant plant species of the Yamal peninsula northern subarctic zone.
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Prayoga, Muhammad Hadi, i Budi Prasetya. "EKSPLORASI MIKORIZA ARBUSKULA INDIGENOUS PADA RHIZOSFER VEGETASI LAHAN PASCATAMBANG BATUBARA". Jurnal Tanah dan Sumberdaya Lahan 8, nr 2 (1.06.2021): 349–57. http://dx.doi.org/10.21776/ub.jtsl.2021.008.2.6.
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Different types of vegetation have the potential to affect a type of spore, the number of spores, and the level of colonization in the roots. This study aims to determine the diversity of genus and the number of arbuscular mycorrhizal spores as well as the level of colonization in the vegetation of Bull Grass (Paspalum conjugatum Berg), Kemunting (Rhodomyrtus tomentosa), and Kirinyuh (Chromolaena odorata L) on post-coal mining land in Margomulyo Village, Kutai Kartanegara, Kalimantan. East. The research was conducted from February to October 2020. Sampling was carried out by purposive sampling based on the land cover area of the Bull grass, Kemunting, and Kirinyuh vegetation with four replications. Laboratory analysis was conducted in Biology Laboratory, Department of Soil Science, Faculty of Agriculture, Brawijaya University and chemical analysis of soil at the Laboratory of Soil, Faculty of Agriculture, University of Muhammadiyah Malang. The results showed that the genus Glomus was found from each of these vegetations with the number of spores in the Bull grass, Kemunting, and Kirinyuh vegetation, respectively 196 spores, 122 spores, and 100 spores per 100 g of soil, and the level of colonization in these vegetations respectively 83.33%, 63.33%, and 51.50%.
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Delbosc, Pauline, Mathieu Le Dez, Jean-Bernard Bouzillé, Kevin Cianfaglione i Frédéric Bioret. "Numerical classification of French vegetation of Carici caryophylleae – Genistetea lobelii J.-C. Klein 1972". Mediterranean Botany 42 (23.06.2021): e68062. http://dx.doi.org/10.5209/mbot.68062.
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Carici-Genistetea lobelii Klein 1972 corresponds to cyrno-sardinian oromediterranean cushion scrub and related grasslands. In France, this class is only present in Corsica and the syntaxonomic scheme is debated among phytosociologists. The aim of this paper is to highlight the main plant associations of Carici-Genistetea lobelii Klein 1972 and to define the diagnostic species for each phytosociological unit. We compiled 519 vegetation plots and we applied EuropeanVegetationChecklist expert system for the classes of European vegetation to retain only vegetation plots belonging to Carici-Genistetea lobelii. We obtained a dataset with 189 vegetation plots and we classified them with Modified TWINSPAN classification. Our analyses recognized 6 plant associations and 3 sub-associations already described in the literature; and to describe a new alliance corresponding to the supra-mediterranean vegetations (Genistion salzmannii), a new association (Brimeuro fastigiatae-Juniperetum nanae) and its sub-association (alnetosum suaveolentis). For each of them, we identified diagnostic, constant and dominant species and produced their distribution map. Formal definitions were then written for each phytosociological unit (from subassociation to class) and grouped in an expert system to automatically classify the vegetations of Carici-Genistetea lobelii.
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Zhu, Changjun, Wenlong Hao i Xiangping Chang. "Vertical Velocity Distribution in Open-Channel Flow with Rigid Vegetation". Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/146829.
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In order to experimentally investigate the effects of rigid vegetation on the characteristics of flow, the vegetations were modeled by rigid cylindrical rod. Flow field is measured under the conditions of submerged rigid rod in flume with single layer and double layer vegetations. Experiments were performed for various spacings of the rigid rods. The vegetation models were aligned with the approaching flow in a rectangular channel. Vertical distributions of time-averaged velocity at various streamwise distances were evaluated using an acoustic Doppler velocimeter (ADV). The results indicate that, in submerged conditions, it is difficult to described velocity distribution along the entire depth using unified function. The characteristic of vertical distribution of longitudinal velocity is the presence of inflection. Under the inflection, the line is convex and groove above inflection. The interaction of high and low momentum fluids causes the flow to fold and creates strong vortices within each mixing layer. Understanding the flow phenomena in the area surrounding the tall vegetation, especially in the downstream region, is very important when modeling or studying the riparian environment. ADV measures of rigid vegetation distribution of the flow velocity field can give people a new understanding.
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Tri Martuti, Nana Kariada, Margareta Rahayuningsih i Khoirunisa Alfirdani. "Kesesuaian Vegetasi untuk Taman Kota Semarang". Life Science 10, nr 2 (30.11.2021): 132–39. http://dx.doi.org/10.15294/lifesci.v10i2.54444.
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Fullfilling of Green Open Spaces through the arrangement of urban parks. Vegetation is an important element of urban parks. The incompatibility of the vegetation can reduce the function of the urban parks. The aim of this research is to analyse the suitability of vegetation in urban parks in Semarang. This research used exploration method. The results of key performance index analysis, show that the suitability of vegetation in urban parks of Semarang ranges from 56.25% to 84.3%. Assessment of vegetation’s suitabilities is influenced by physical characteristics, such as canopy, roots, color of flower, and others. The functions of vegetation such as shade plants, absorbent pollutants, increasing aesthetic value, spacing and composition of vegetation also can affect the suitability of vegetation in urban parks. The vegetation’s suitabilities in urban parks in Semarang can be categorized as compatible, compatible enough, and not compatible.
Pemenuhan kebutuhan Ruang Terbuka Hijau (RTH) melalui penataan taman kota. Vegetasi merupakan elemen penting penyusun taman kota. Ketidaksesuaian vegetasi penyusun taman dapat menyebabkan berkurangnya fungsi taman kota. Penelitian ini bertujuan untuk menganalisis kesesuaian vegetasi yang ada di taman kota Semarang. Metode yang digunakan adalah eksplorasi. Hasil analisis key performance index menunjukkan kesesuaian vegetasi di taman kota Semarang berkisar antara 56,25% sampai dengan 84,3%. Penilaian terhadap kesesuaian vegetasi dipengaruhi oleh ciri fisik, seperti tajuk, perakaran, warna bunga dan lainnya. Fungsi dari tanaman seperti sebagai tanaman peneduh, penyerap polutan, penambah nilai estetika, arak tanam dan pengkomposisian tanaman dalam taman juga mempengaruhi kesesuaian vegetasi pada taman. Kesesuaian vegetasi di taman kota Semarang dapat dikategorikan sesuai, cukup sesuai dan kurang sesuai..