scholarly journals Distribution Pattern and Mapping of Invasive Alien Species Bellucia pentamera in Conservation Area of PT. Tidar Kerinci Agung (TKA) Solok Selatan

2021 ◽  
Vol 9 (1) ◽  
pp. 30
Author(s):  
Uswatul Inayah ◽  
Solfiyeni Solfiyeni
Keyword(s):  
Linear Regression ◽  
Light Intensity ◽  
Distribution Pattern ◽  
Alien Species ◽  
Invasive Alien Species ◽  
P Value ◽  
Conservation Area ◽  
Belt Transect

Bellucia pentamera is one of the most dangerous invasive alien species for environment. This species had been invaded many forests in Indonesia. This species would invade more area due to deforestation. The objectives of this study were to know the mapping and distribution pattern of B. pentamera; to know the effects of distance from road and light intensity to distribution of B. pentamera. This study was conducted from March to August 2020 in Conservation Area of PT. TKA Solok Selatan using belt transect method by plotting 20x50 m2. Data was analyzed using Morishita Index and Linear Regression. Distribution pattern of B. pentamera in PT. TKA was clumped, showed by 1.17 of Morishita index. Seedlings and saplings of B. pentamera were dominant at the edge of conservation forest while trees were distributed from the middle to inside of the forest. Distance from road gave positively effects and significantly towards distribution of B. pentamera showing result 0.702 of R2 and 0.007 of p-Value. Light intensity did not give effects significantly towards distribution of B. pentamera showing result 0.0806 of R2 and 0.427 of p-Value.

scholarly journals Spatial Spread of Invasive Foreign Plants Clidemia hirta (L.) D. Don in Bung Hatta Forest Park, Padang, West Sumatra

2019 ◽  
Vol 7 (2) ◽  
pp. 136
Author(s):  
Rian Anggraini ◽  
Solfiyeni Solfiyeni
Keyword(s):  
Spatial Distribution ◽  
Light Intensity ◽  
Distribution Pattern ◽  
Spatial Spread ◽  
Forest Park ◽  
The Road ◽  
West Sumatra ◽  
Belt Transect ◽  
Morisita Index ◽  
Number Of Individuals

Research on Spatial Spread of Invasive Foreign Plants Clidemia hirta in Bung Hatta Forest Park, Padang, West Sumatra, has been carried out from January to June 2018. The purpose of this study was to determine the spatial distribution pattern of invasive foreign plants Clidemia hirta and analyze the influence of distance from roads and influence light intensity on the distribution of the number of individuals Clidemia hirta in the Bung Hatta Forest Park. This study uses a belt transect method with a width of 2 meters along 250 meters. Along the transect, a plot of 2x2 meters was made with 125 plots. Observations made on Clidemia hirta is to calculate the number of individuals and measure the intensity of light in each plot. The results showed that the pattern of spread of  Clidemia hirta was grouped with the Morisita Index of 2.1. The distance from the road and the intensity of light does not affect the distribution of the number of individuals with R Square values of 0.022 and 0.007, respectively.

scholarly journals Trophic Relationships and Status of Reservoirs with and without Occurrence of Dreissena ssp. (Mollusca, Bivalvia) Built on Bulgarian Danube River Tributaries

2016 ◽  
Vol 18 (1) ◽  
pp. 13-22
Author(s):  
Roumen Kalchev ◽  
Mihaela Beshkova ◽  
Hristina Kalcheva
Keyword(s):  
Linear Regression ◽  
Alien Species ◽  
Linear Relationship ◽  
Trophic Status ◽  
Invasive Alien Species ◽  
Secchi Depth ◽  
Danube River ◽  
Trophic Relationships ◽  
Regression Equations ◽  
Status Index

Abstract The trophic status and relationships between Secchi depth transparency (SD) chlorophyll-a (CHL) and total phosphorus (TP) concentrations from nine non-infested and five infested areas with invasive alien species, Dreissena ssp. reservoirs, situated on the Bulgarian Danube River tributaries were studied. The trophic status index (TSI) values after Carlson (1977), and showed statistically significant differences for all three variables between infested and non-infested reservoirs. The three linear regression equations between SD × CHL, CHL × TP and SD × TP were statistically significant for the group of non-infested reservoirs, while in the infested reservoirs only the SDxCHL regression was statistically significant for P < 0.05. Our results showed that the Dreissena invasion destroyed the linear relationship between CHL × TP and SD × TP and seems to affects the accurate application of Carlson TSI.

ANALISIS HUBUNGAN BIAYA PROMOSI DENGAN PENDAPATAN PADA PT. BANK XYZ

2018 ◽  
Vol 3 (1) ◽  
pp. 85-90
Author(s):  
Murwani Wulansari ◽  
Yunidyawati Azlina
Keyword(s):  
Linear Regression ◽  
Regression Equation ◽  
P Value ◽  
Significance Level ◽  
Statistical Program

This study aims to determine and analyze the effect of promotion costs on income at PT. Bank XYZ. The study was conducted by linear regression that was processed by means of statistical program SPSS16.00. The analysis shows the regression equation as follows: Y = -162982.754 + 247.964X. The result of research shows that there is influence between variable X that is promotion cost with variable Y that is income. However, the effectis not significant because the p-value 0.216 is greater than the 0.05 significance level. Keywords: biaya promosi, penjualan

scholarly journals Introduction and Spread of the Invasive Alien Species Ageratina altissima in a Disturbed Forest Ecosystem

2021 ◽  
Vol 13 (11) ◽  
pp. 6152
Author(s):  
Eunyoung Kim ◽  
Jaeyong Choi ◽  
Wonkyong Song
Keyword(s):  
Land Use ◽  
South Korea ◽  
Alien Species ◽  
Invasive Alien Species ◽  
Management Policy ◽  
Economic Damage ◽  
Forest Edges ◽  
Forest Interior ◽  
Lower Elevation ◽  
Canopy Area

Invasive alien species (IAS) not only displace nearby indigenous plants and lead to habitat simplification but also cause severe economic damage by invading arable lands. IAS invasion processes involve external forces such as species characteristics, IAS assemblage traits, environmental conditions, and inter-species interactions. In this study, we analyzed the invasion processes associated with the introduction and spread of Ageratina altissima, a representative invasive plant species in South Korea. We investigated 197 vegetation quadrats (2 × 20 m) in regions bordering 47 forests in southern Seoul and Gyeonggi-do, South Korea. A total of 23 environmental variables were considered, which encompassed vegetation, topography, land use, and landscape ecology indices. The model was divided into an edge and an interior model and analyzed using logistic regression and a decision tree (DT) model. The occurrence of Ageratina altissima was confirmed in 61 sites out of a total of 197. According to our analysis, Ageratina altissima easily invaded forest edges with low density. The likelihood of its occurrence increased with lower elevation and gentler slope. In contrast, the spread of Ageratina altissima in the forest interior, especially based on seed spread and permeability, was favored by a lower elevation and gentler slopes. The analysis of Ageratina altissima settlement processes in forest edges coupled with the DT model demonstrated that land characteristics, such as the proximity to urbanized areas and the number of shrub and tree species, play a pivotal role in IAS settlement. In the forest interior, Ageratina altissima did not occur in 68 of the 71 sites where the soil drainage was under 2.5%, and it was confirmed that the tree canopy area had a significant impact on forest spread. Based on these results, it can be assumed that Ageratina altissima has spread in South Korean forests in much the same way as other naturalized species. Therefore, vegetation management strategies for naturalized species should be developed in parallel with land use management policy in regions surrounding forest edges to successfully manage and control Ageratina altissima invasion.

scholarly journals InvasionDB: A genome and gene database of invasive alien species

2021 ◽  
Vol 20 (1) ◽  
pp. 191-200
Author(s):  
Cong HUANG ◽  
Kun LANG ◽  
Wan-qiang QIAN ◽  
Shu-ping WANG ◽  
Xiao-mei CAO ◽  
...  
Keyword(s):  
Alien Species ◽  
Invasive Alien Species ◽  
A Genome ◽  
Gene Database
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