scholarly journals Distribution Modelling of the Moss Funaria hygrometrica Hedwig in Egypt

2022 ◽  
Vol 13 (1) ◽  
pp. 1-11
Author(s):  
Mohamed Farag ◽  
Hanaa Shabbara
Keyword(s):  
Distribution Modelling ◽  
Funaria Hygrometrica

Indole-3-acetic acid uptake in isolated protoplasts of the moss Funaria hygrometrica

1990 ◽  
Vol 80 (4) ◽  
pp. 584-592 ◽  
Author(s):  
Ulrike Geier ◽  
Olaf Werner ◽  
Martin Bopp
Keyword(s):  
Acetic Acid ◽  
Acid Uptake ◽  
Funaria Hygrometrica ◽  
Isolated Protoplasts ◽  
Indole 3 Acetic Acid

A STUDY OF SOLUTIONS TO PREVENT THE EROSION OF THE MOSS GROWING ON ARCHITECTURES OF HUE IMPERIAL CITADEL

2012 ◽  
pp. 66-69
Author(s):  
Nhan Duc Nguyen ◽  
Cong Nho Luong ◽  
Hoang Vu Nguyen
Keyword(s):  
Citric Acid ◽  
Key Words ◽  
Environmentally Friendly ◽  
Living Environment ◽  
Laboratory Result ◽  
Urgent Problem ◽  
Funaria Hygrometrica ◽  
Moss Species ◽  
Measurement And Evaluation ◽  
Scientific Name

Background: The erosion of mosses on the surface of Hue imperial citadel has caused a lot of harm and is currently an urgent problem to be solved. Objectives:1. Identifying some moss species growing on Hue relics. 2. Determining the cause of slipperiness and the living environment mosses. 3. Finding a solution to limit the intrusion of the mosses. Methods: The methods are: identifying scientific name by comparing patterns, identify mucus, pH measurement and evaluation of the effects of certain chemicals on the growth of mosses in the laboratory. Result: The moss species that develop popularly in Hue relics is Funaria hygrometrica, Bryum apiculatum, Trichostomum orthodontum, Fissidens lycopodioides. Funaria hygrometrica is the most popular moss. The cause of the slipperiness is mucus in moss cells released outside the moss after death. Mosses grow well in moist environments, clear and slightly acidic surface. After two days assessing the effect of citric acid 18%, 15%, 10% and 7% NaHCO3, 5%, 3% on the growth of moss, the mosses all died completely. Since then identified two types of chemicals have been found to completely dead moss, inexpensive, environmentally friendly and does not affect the surface of architectures are citric acid 10% solution and NaHCO3 3% solution. Keywords: The moss erosion, Funaria hygrometrica, mucus, citric acid, NaHCO3 Key words: The moss erosion, Funaria hygrometrica, mucus, citric acid, NaHCO 3

scholarly journals Extinction-free Census of AGNs in the AKARI/IRC North Ecliptic Pole Field from 23-band infrared photometry from Space Telescopes

2020 ◽  
Vol 499 (3) ◽  
pp. 4068-4081 ◽  
Author(s):  
Ting-Wen Wang ◽  
Tomotsugu Goto ◽  
Seong Jin Kim ◽  
Tetsuya Hashimoto ◽  
Denis Burgarella ◽  
...  
Keyword(s):  
Spectral Energy Distribution ◽  
Cosmic Time ◽  
Spectral Energy ◽  
Wide Field ◽  
Space Telescopes ◽  
Distribution Modelling ◽  
Star Forming ◽  
The North ◽  
Band Filter ◽  
Infrared Survey

ABSTRACT In order to understand the interaction between the central black hole and the whole galaxy or their co-evolution history along with cosmic time, a complete census of active galactic nucleus (AGN) is crucial. However, AGNs are often missed in optical, UV, and soft X-ray observations since they could be obscured by gas and dust. A mid-infrared (MIR) survey supported by multiwavelength data is one of the best ways to find obscured AGN activities because it suffers less from extinction. Previous large IR photometric surveys, e.g. Wide field Infrared Survey Explorer and Spitzer, have gaps between the MIR filters. Therefore, star-forming galaxy-AGN diagnostics in the MIR were limited. The AKARI satellite has a unique continuous nine-band filter coverage in the near to MIR wavelengths. In this work, we take advantage of the state-of-the-art spectral energy distribution modelling software, cigale, to find AGNs in MIR. We found 126 AGNs in the North Ecliptic Pole-Wide field with this method. We also investigate the energy released from the AGN as a fraction of the total IR luminosity of a galaxy. We found that the AGN contribution is larger at higher redshifts for a given IR luminosity. With the upcoming deep IR surveys, e.g. JWST, we expect to find more AGNs with our method.

scholarly journals An Orchid in Retrograde: Climate-Driven Range Shift Patterns of Ophrys helenae in Greece

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 470
Author(s):  
Martha Charitonidou ◽  
Konstantinos Kougioumoutzis ◽  
John M. Halley
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Species Distribution Modelling ◽  
Range Shift ◽  
Last Interglacial ◽  
Distribution Modelling ◽  
Species Response ◽  
Northwestern Greece ◽  
The Last Glacial Maximum ◽  
The Last Glacial

Climate change is regarded as one of the most important threats to plants. Already species around the globe are showing considerable latitudinal and altitudinal shifts. Helen’s bee orchid (Ophrys helenae), a Balkan endemic with a distribution center in northwestern Greece, is reported to be expanding east and southwards. Since this southeastern movement goes against the usual expectations, we investigated via Species Distribution Modelling, whether this pattern is consistent with projections based on the species’ response to climate change. We predicted the species’ future distribution based on three different climate models in two climate scenarios. We also explored the species’ potential distribution during the Last Interglacial and the Last Glacial Maximum. O. helenae is projected to shift mainly southeast and experience considerable area changes. The species is expected to become extinct in the core of its current distribution, but to establish a strong presence in the mid- and high-altitude areas of the Central Peloponnese, a region that could have provided shelter in previous climatic extremes.

Integrating landscape resistance and multi-scale predictor of habitat selection for amphibian distribution modelling at large scale

2021 ◽  
Author(s):  
Florence Matutini ◽  
Jacques Baudry ◽  
Marie-Josée Fortin ◽  
Guillaume Pain ◽  
Joséphine Pithon
Keyword(s):  
Habitat Selection ◽  
Large Scale ◽  
Landscape Resistance ◽  
Distribution Modelling ◽  
Multi Scale ◽  
Selection For
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