Factors affecting the spatial distribution of the principal midgap donor in semi‐insulating gallium arsenide wafers

1985 ◽  
Vol 58 (1) ◽  
pp. 204-207 ◽  
Author(s):  
J. S. Blakemore ◽  
P. Dobrilla
Keyword(s):  
Gallium Arsenide ◽  
Spatial Distribution ◽  
Factors Affecting

Factors affecting the spatial distribution and co‐occurrence of two sympatric mountain ungulates in southern Mongolia

2021 ◽  
Author(s):  
C. Odonjavkhlan ◽  
J.S. Alexsander ◽  
C. Mishra ◽  
G. Samelius ◽  
K. Sharma ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Factors Affecting ◽  
Mountain Ungulates

scholarly journals Spatial distribution pattern of Tarsius Lariang in lore lindu national park

2019 ◽  
Vol 13 (2) ◽  
pp. 606 ◽  
Author(s):  
Abdul Rosyid ◽  
Yanto Santosa ◽  
I Nengah Surati Jaya ◽  
M. Bismark ◽  
Agus P. Kartono
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Land Surface ◽  
National Park ◽  
Spatial Distribution Pattern ◽  
Systematic Sampling ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Insect Abundance ◽  
Lore Lindu National Park

<p><span>Tarsius lariang (T. lariang) is an endemic species in Lore Lindu National Park (LLNP). Available information regarding T. lariang is limited to only morphological, anatomical, cytogenetic, and voices issues. Knowledge for its geospatial characteristics such as spatial preferences and spatial distribution is rare. The main objective of this study is to identify the spatial distribution pattern of T. lariang in LLNP. An additional objective is to identify the environmental factors affecting its spatial distribution patterns. Field observation for distribution pattern was done at the observation plot that were using systematic sampling with random start. Furthermore, the density estimation in each point was calculated using Triangle Count and Concentration Count method, while insect abundance was estimated using light traps sample data. Finally, spatial pattern was estimated using nearest neighbor index, while the environmental affecting factors were identified by using spatial analysis and correlation analyses. From 45 observation points, the T. lariang distribution pattern was clumped. It is also recognized that the significant factors affecting the spatial distribution were insect abundance, proximity from the commercially utilized land, and land surface temperature.</span></p><p> </p>

Characterisation of the Rietvlei wetland: Implications for spatial distribution of groundwater recharge

2019 ◽  
Vol 122 (3) ◽  
pp. 369-378 ◽  
Author(s):  
G. Mahed ◽  
N. Gariremo ◽  
S. Lehlohonolo ◽  
R. Campbell ◽  
E. Swartbooi
Keyword(s):  
Spatial Distribution ◽  
Groundwater Recharge ◽  
Silty Sand ◽  
Factors Affecting ◽  
Shallow Wells ◽  
Subsurface Material ◽  
Dug Wells ◽  
Water Table Fluctuation Method ◽  
Fluctuation Method ◽  
Recharge Rates

Abstract The current study aimed to determine the factors affecting groundwater recharge and its spatial distribution in the Rietvlei wetland located near Cape Town. To achieve this, the subsurface material was logged during the construction of eight shallow wells, complimented with field observations, and surveying the dug wells. The water stemming from these wells was sampled and analysed for Oxygen 18 and Deuterium to determine the source of groundwater in Rietvlei wetland. Downhole salinity logs of the wells were also undertaken, and rainfall samples were analysed for the stable isotopes. Isotopic results indicate that groundwater stems from rainfall, with the exception of Well 8 which has been influenced by the river due to its proximity to the surface water body. Additionally, results obtained indicate a distinct relationship between elevation and soil structure. Shallow profiles were mainly dominated by medium to fine sands, silty sand, and clay. Using the water table fluctuation method, this was found to have a direct impact on the spatial distribution of groundwater recharge on an event basis. It was therefore concluded that both lithology and topography have a direct effect on recharge rates and water quality.

scholarly journals Index of Atmospheric Purity reflects the ecological conditions better than the environmental pollution in the Carpathian forests

2020 ◽  
Vol 17 (11) ◽  
pp. 2691-2706
Author(s):  
Magdalena Tanona ◽  
Paweł Czarnota
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Environmental Pollution ◽  
Urban Areas ◽  
Ecological Indicator ◽  
Epiphytic Lichen ◽  
Factors Affecting ◽  
Ecological Conditions ◽  
Lichen Biota ◽  
High Degree

Abstract The Index of Atmospheric Purity (IAP) is a popular tool used for the assessment of air quality in polluted urban areas, on the basis of phytosociological data of epiphytic lichen communities. We hypothesized that this indicator could also be used in less polluted forest areas to determine the quality of ecological conditions for lichens. The aim of the present study was to verify the use of IAP method in the assessment of environmental pollution, and alternatively for the assessment of general ecological conditions in protected mountain forests of Gorce National Park (Polish Western Carpathians) based on the epiphytic lichen biota associated with Picea abies. The spatial distribution of IAP values on monitored sites in GNP was compared with: 1) spatial distribution of accumulated sulfur, nitrogen, selected heavy metals, and total heavy metals in Hypogymnia physodes thalli in 1993 and 2018 (30 sites), 2) mean ecological indicator values characterizing species requirements for light (L), substrate reaction (R) and nutrients (N), in 1993, 2013 and 2018 (33 sites). Generalized linear model and redundancy analysis were performed for disclosing most influencing factors affecting lichen communities. The study revealed a few negligible relationships between IAP values and accumulation of such elements as Ni, Mn, Cd, and Cr in both monitoring periods. Simultaneously, IAP can be useful for the identification of forest areas with a high degree of naturalness.

Relationship between spatial distribution pattern and factors affecting weight per thousand seeds of cultivated barley in Qinghai-Tibet Plateau

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
王建林 WANG Jianlin ◽  
冯西博 FENG Xibo ◽  
付刚 FU Gang ◽  
侯维海 HOU Weihai ◽  
王改花 WANG Gaihua ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Spatial Distribution Pattern ◽  
Tibet Plateau ◽  
Factors Affecting ◽  
Cultivated Barley ◽  
Qinghai Tibet Plateau

Factors affecting temporal and spatial distribution of diatoms in Lake Michigan

2000 ◽  
Vol 27 (4) ◽  
pp. 1788-1794
Author(s):  
R. P. Barbiero ◽  
H. J. Carrick ◽  
J. B. Volerman ◽  
M. L. Tuchman
Keyword(s):  
Spatial Distribution ◽  
Lake Michigan ◽  
Temporal And Spatial Distribution ◽  
Factors Affecting ◽  
Temporal And Spatial
Sign in / Sign up

Export Citation Format

Share Document