Forest fire cycles and life tables: a case study from interior Alaska

1981 ◽  
Vol 11 (3) ◽  
pp. 554-562 ◽  
Author(s):  
John Yarie
Keyword(s):  
Fire Frequency ◽  
Entire Study ◽  
Fire Cycle ◽  
Survivorship Curve ◽  
Interior Alaska ◽  
Table Analysis ◽  
Negative Exponential ◽  
The Relationship ◽  
Entire Study Area

The negative exponential and Wiebull distributions were used to estimate stand survivorship curves for forested sites in the Porcupine River drainage of interior Alaska. The survivorship curve of Piceaglauca (Moench) Voss sites was best described by a Wiebull function, while both functions adequately described the Piceamariana (Mill.) Britton, Sterns & Poggenburg hardwood and all sites stand survivorship curve. Fire cycles calculated from the Wiebull distribution were 43, 113, 36, and 26 years for the entire study area, P. glauca, P. mariana, and hardwood sites, respectively. Fire frequencies estimated from a life table analysis were 48, 105, 43, and 30 years, respectively. The relationship between fire cycle and fire frequency calculations is discussed and various management implications are given.

scholarly journals Estimation of Geographically Weighted Regression Case Study on Wet Land Paddy Productivities in Tulungagung Regency

CAUCHY ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Danang Ariyanto
Keyword(s):  
Spatial Data ◽  
Geographically Weighted Regression ◽  
Average Cost ◽  
Gaussian Kernel ◽  
Weighted Regression ◽  
Entire Study ◽  
Independent Variable ◽  
Gwr Model ◽  
Entire Study Area

<p>Regression is a method connected independent variable and dependent variable with estimation parameter as an output. Principal problem in this method is its application in spatial data. Geographically Weighted Regression (GWR) method used to solve the problem. GWR  is a regression technique that extends the traditional regression framework by allowing the estimation of local rather than global parameters. In other words, GWR runs a regression for each location, instead of a sole regression for the entire study area. The purpose of this research is to analyze the factors influencing wet land paddy productivities in Tulungagung Regency. The methods used in this research is  GWR using cross validation  bandwidth and weighted by adaptive Gaussian kernel fungtion.This research using  4 variables which are presumed affecting the wet land paddy productivities such as:  the rate of rainfall(X<span style="vertical-align: sub;">1</span>), the average cost of fertilizer per hectare(X<span style="vertical-align: sub;">2</span>), the average cost of pestisides per hectare(X<span style="vertical-align: sub;">3</span>) and Allocation of subsidized NPK fertilizer of food crops sub-sector(X<span style="vertical-align: sub;">4</span>). Based on the result, X<span style="vertical-align: sub;">1</span>, X<span style="vertical-align: sub;">2</span>, X<span style="vertical-align: sub;">3</span> and X<span style="vertical-align: sub;">4 </span> has a different effect on each Distric. So, to improve the productivity of wet land paddy in Tulungagung Regency required a special policy based on the GWR model in each distric.</p>

scholarly journals Multivariate analysis of environment-vegetation complex of Vehari district, Pakistan

2018 ◽  
Vol 44 (3) ◽  
pp. 399-405 ◽  
Author(s):  
Arif Zereen ◽  
Andleeb Anwar Sardar
Keyword(s):  
Multivariate Analysis ◽  
Vegetation Structure ◽  
Dominant Species ◽  
Entire Study ◽  
Species Analysis ◽  
Water Ph ◽  
Vegetation Complex ◽  
Relationship Of ◽  
The Relationship ◽  
Entire Study Area

Multivariate analysis using two-way indicator species analysis (TWINSPAN) and Canonical correspondence analysis (CCA) were used to classify the phytosociology of the District Vehari, Pakistan. A total of 35 plant species belonging to 23 families were recorded. The first level TWINSPAN divided the vegetation of entire study area into two major communities which were subsequently separated into subcommunities. Each major and sub-community was named following the most important dominant species. CCA identified the relationship of vegetation structure to specific environmental factors. This relationship was studied by CANOCO analysis. In the CCA of all the species for Vehari, soil pH and water pH and EC were the most important variables influencing the species distribution. This survey offers key information regarding vegetation and would be helpful for the conservation of biodiversity of the area under study.

scholarly journals Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Shanyou Zhu ◽  
Hailong Zhang ◽  
Ronggao Liu ◽  
Yun Cao ◽  
Guixin Zhang
Keyword(s):  
Landsat Imagery ◽  
Systematic Sampling ◽  
Linear Regression Models ◽  
Entire Study ◽  
Mato Grosso ◽  
Modis Imagery ◽  
Simple Extrapolation ◽  
Sample Allocation ◽  
The Relationship

Sampling designs are commonly used to estimate deforestation over large areas, but comparisons between different sampling strategies are required. Using PRODES deforestation data as a reference, deforestation in the state of Mato Grosso in Brazil from 2005 to 2006 is evaluated using Landsat imagery and a nearly synchronous MODIS dataset. The MODIS-derived deforestation is used to assist in sampling and extrapolation. Three sampling designs are compared according to the estimated deforestation of the entire study area based on simple extrapolation and linear regression models. The results show that stratified sampling for strata construction and sample allocation using the MODIS-derived deforestation hotspots provided more precise estimations than simple random and systematic sampling. Moreover, the relationship between the MODIS-derived and TM-derived deforestation provides a precise estimate of the total deforestation area as well as the distribution of deforestation in each block.

scholarly journals Multi-Hazard Vulnerability Assessment of an Urban Area: A Case Study on Ward 34 of Dhaka South City Corporation

2017 ◽  
Vol 43 (2) ◽  
pp. 181-195
Author(s):  
M Maksudur Rahman ◽  
Shamima Aktar ◽  
Md Ashikuzzaman
Keyword(s):  
Mitigation Measures ◽  
Hazard Maps ◽  
Analysis Framework ◽  
Entire Study ◽  
Safety Standards ◽  
Individual Vulnerability ◽  
Specific Vulnerability ◽  
Hazard Vulnerability ◽  
Entire Study Area

Multi-hazard assessment provides the scope to understand the vulnerability situation of any area based on different hazard context. This study was conducted in one ward of Dhaka city corporation area to examine its multi-hazard vulnerability. Three key potential hazards: fire, earthquake and water-logging were considered to implement the multihazard analysis framework. To perform the analysis entire study area was surveyed and examined applying Geographic Information System in terms of practicing planning rules and regulation of Government of Bangladesh. All the structures of the study area were assessed and categorized into four classes ranging from severe to none according to some vulnerability criteria defined by safety standards. Individual vulnerability analysis was performed to realize the hazard specific vulnerability context. Finally, single processed hazard maps were combined to examine the multi hazard vulnerability of this study area. These findings denote that there are a certain number of structures in very risk position which should receive immediate hazard mitigation measures. Asiat. Soc. Bangladesh, Sci. 43(2): 181-195, December 2017

Kämpfe um Bergbau und die Möglichkeiten demokratischer Transformation

2017 ◽  
Vol 47 (189) ◽  
Author(s):  
Kristina Dietz
Keyword(s):  
Direct Democracy ◽  
Social Power ◽  
Political Agenda ◽  
The Political ◽  
Liberal Democratic ◽  
Political Effects ◽  
Mining Project ◽  
National Governments ◽  
The Relationship

The article explores the political effects of popular consultations as a means of direct democracy in struggles over mining. Building on concepts from participatory and materialist democracy theory, it shows the transformative potentials of processes of direct democracy towards democratization and emancipation under, and beyond, capitalist and liberal democratic conditions. Empirically the analysis is based on a case study on the protests against the La Colosa gold mining project in Colombia. The analysis reveals that although processes of direct democracy in conflicts over mining cannot transform existing class inequalities and social power relations fundamentally, they can nevertheless alter elements thereof. These are for example the relationship between local and national governments, changes of the political agenda of mining and the opening of new spaces for political participation, where previously there were none. It is here where it’s emancipatory potential can be found.

Interactive acculturation of Turkish-Belgian parents and children in Flanders: A case study of Beringen

2019 ◽  
Vol 16 (3) ◽  
pp. 417-428
Author(s):  
Özgün Ünver ◽  
Ides Nicaise
Keyword(s):  
Early Childhood ◽  
Maternal Employment ◽  
Domain Specificity ◽  
Specific Context ◽  
Childhood Education ◽  
Parents And Children ◽  
Education And Care ◽  
The Relationship ◽  
The Town

This article tackles the relationship between Turkish-Belgian families with the Flemish society, within the specific context of their experiences with early childhood education and care (ECEC) system in Flanders. Our findings are based on a focus group with mothers in the town of Beringen. The intercultural dimension of the relationships between these families and ECEC services is discussed using the Interactive Acculturation Model (IAM). The acculturation patterns are discussed under three main headlines: language acquisition, social interaction and maternal employment. Within the context of IAM, our findings point to some degree of separationism of Turkish-Belgian families, while they perceive the Flemish majority to have an assimilationist attitude. This combination suggests a conflictual type of interaction. However, both parties also display some traits of integrationism, which points to the domain-specificity of interactive acculturation.

The Relationship between Working Environment and Internship Satisfaction Level: A Case Study Of A 4-Star Hotel Restaurant In Germany

2019 ◽  
Vol 2 (4) ◽  
pp. 276-291
Author(s):  
Chatarina Natalia Putri
Keyword(s):  
Career Development ◽  
Working Hours ◽  
Learning Opportunities ◽  
Working Environment ◽  
The Other ◽  
Satisfaction Level ◽  
Supervisory Support ◽  
Support Organization ◽  
The Relationship

There are many factors that can lead to internship satisfaction. Working environment is one of the factors that will result to such outcome. However, many organizations discarded the fact of its importance. The purpose of this study is to determine whether there is a significant relationship between working environment and internship satisfaction level as well as to determine whether the dimensions of working environment significantly affect internship satisfaction. The said dimensions are, learning opportunities, supervisory support, career development opportunities, co-workers support, organization satisfaction, working hours and esteem needs. A total of 111 questionnaires were distributed to the respondents and were processed by SPSS program to obtain the result of this study. The results reveal that learning opportunities, career development opportunities, organization satisfaction and esteem needs are factors that contribute to internship satisfaction level. In the other hand, supervisory support, co-workers support and working hours are factors that lead to internship dissatisfaction. The result also shows that organization satisfaction is the strongest factor that affects internship satisfaction while co-workers support is the weakest.

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