scholarly journals Regional-scale forest ecosystem modeling: database development, model predictions and validation using a Geographic Information System

1994 ◽  
Vol 4 ◽  
pp. 223-231 ◽  
Author(s):  
SG McNulty ◽  
JM Vose ◽  
WT Swank ◽  
JD Aber ◽  
CA Federer
1994 ◽  
Vol 24 (11) ◽  
pp. 2166-2171 ◽  
Author(s):  
S.M. Allison ◽  
M.F. Proe ◽  
K.B. Matthews

A framework has been developed to predict growth of Sitka spruce (Piceasitchensis (Bong.) Carr.) at a regional scale throughout Scotland based on an analysis of yield, site, and climatic factors. Using the general yield class (GYC) system for predicting forest production (m3•ha−1•year−1), the statistical model was integrated with a geographic information system to predict tree growth at a resolution of 1 km2. Site factor data from 487 sample sites were analysed along with the associated climate data derived from monthly 30-year means recorded at meteorological stations throughout the country. Multiple regression was used to develop and validate the model, which accounted for 59% of the variation in observed GYC. Standard errors of prediction were determined by analysis of variance to provide confidence limits for the 1-km2 GYC predictions. The distribution of these estimates of production was plotted in the form of a digital map for Scotland, housed within the geographic information system and providing a facility to readily analyse and summarise regional information.


2013 ◽  
Vol 798-799 ◽  
pp. 1178-1181
Author(s):  
Zhi Hong Liu ◽  
Ling Xu

Taking the connecting band of urban integration as study area, based on an appropriate index system, the method of Entropy Weight-Geographic Information System (GIS) was employed to carry out the land suitability assessment at a regional scale. Shenyang Irrigation Area (SIA) was taken as the practical example. It was found that the method was reasonable to assess the land suitability and the assessment results can be used to support land planning in a flexible way.


Author(s):  
Khondokar Sakib ◽  
Abu Haydar ◽  
Idris Ali ◽  
Debasish Paul ◽  
Shah Alam

Disposal of radioactive wastes has been emerged as a vital issue for Bangladesh as the country is actively working to be the nuclear power plant operating country by 2023-2024. Current study aims to find out potential sites for a near-surface disposal facility using geographic information system software and multi-criteria analysis method. Previously six regions (Region-1 to Region-6) were identified upon performing continental scale screening over the whole territory of Bangladesh. In the current study, regional scale screening has been performed over the Region-1 and Region-2 using five criteria divided into fifteen sub-criteria, namely earthquakes, wind speed, rainfall, cultivated-vegetated land, forests, buildings-facilities-build up areas (area), buildings-facilities-Industries-institutions (Point), population density, medium-broad road and railway, narrow road, power line, ground water table, surface water body and lastly flood were used in the analysis. The suitability map and relative importance weighting of these sub-criteria were determined by using geographic information system and multi-criteria analysis method. The overlay analysis was performed over suitability maps of each sub-criterion and found final suitability map of the Region-1 and Region-2. These suitability maps were divided into six category, namely excluded area, most suitable, suitable, moderately suitable, unsuitable and completely unsuitable. Nineteen potential sites with maximum and minimum area of 7.90 km2 and 1.15 km2 were identified from these most suitable and suitable areas. Detailed field investigation and site characterization are needed to be performed on selected potential sites to choose a final disposal site for the low and intermediate levels of radioactive waste.


2021 ◽  
Vol 2 (2) ◽  
pp. 59-65
Author(s):  
Nur Fazheera Algadri ◽  
Arnita Irianti ◽  
Dian Megah Sari

The spread of Covid-19 is very fast, various efforts are being made to prevent the spread of Covid-19 and provide information about it. Especially in the area of ​​West Sulawesi Province, information about the development of Covid-19 can be accessed through a website that has been provided by the government, namely Covid Sulbar. There is a development of a Geographic information system for Covid-19 mapping with the implementation of Location based services and open source maps. This study aimed to build and implement a system as a solution to the problems currently being faced by the community related to the Covid-19 pandemic and the new normal era. The method used was literature study, observation, and interviews. The device development model used in this research was the Waterfall development model. The results showed that the results of the system development which had been carried out could be drawn from several conclusions that this research produces a Geographic Information System (GIS) regarding the distribution map and status of the Covid-19 zone. Geographical Information Systems (GIS) are easily accessible by users simply by using a web browser. With the GIS-COV website, it could help the public to see and find out information on the condition of an area related to the number of cases and the status of the level of the spread of Covid-19. With the GIS-COV website, the public could find out the number of spread of Covid-19 and certain zones with the highest and lowest levels of spread.


10.12737/7748 ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. 144-148
Author(s):  
Сабиров ◽  
Artur Sabirov ◽  
Шакиров ◽  
Ilshat Shakirov ◽  
Галиуллин ◽  
...  

The urgency of the monitoring of forest ecosystem of the Republic of Tatarstan was shown in the artcle. The authors described forest monitoring direction and geographic information system (GIS). The stages of organizing a comprehensive study of forest ecosystems with the use of information technology were reduced. The practical aspects of creating an information database of forest vegetation, fauna, soil of the Republic of Tatarstan were identified.


Author(s):  
Shahid Mohommad ◽  
Shambhu Prasad Joshi

Climate change is an inevitable process impacting the forest ecosystem. Various impacts like treeline shift, forest fires, and Species distribution are due to the effect of climate change. Green House Gases concentration in the atmosphere is increasing day by day due to anthropogenic activities. The pace of climate change is very alarming which will have the substantial impact on the forest ecosystem. Role of remote sensing and geographic information system in observing the forest ecosystem was reviewed. Spatio-temporal analysis of change in forest structure can be proficiently done with the help of remote sensing and geographic information system. Climate Change Mitigation programmes like Reducing Emissions from Deforestation and Forest Degradation (REDD-plus) can be implemented with the help of remote sensing and geographic information system. Baseline data generation using remote sensing and geographic information system can be useful in designing the policies for forest management and monitoring.


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