Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning

2017 ◽  
Vol 242 ◽  
pp. 218-226 ◽  
Author(s):  
Moonmoon Hiloidhari ◽  
D.C. Baruah ◽  
Anoop Singh ◽  
Sampriti Kataki ◽  
Kristina Medhi ◽  
...  
Keyword(s):  
Information System ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Geographical Information System ◽  
Geographical Information

scholarly journals Bioclimatic Analysis and Spatial Distribution of Livestock Fascioliasis in Iran

2019 ◽  
Author(s):  
Mohamad GHANIMATDAN ◽  
Abdolali CHALECHALE ◽  
Farid REZAEI ◽  
Mohamad Bagher ROKNI ◽  
Seyed Reza SHAHROKHI
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Life Cycle ◽  
Intermediate Host ◽  
Geographical Information System ◽  
Meteorological Data ◽  
Geographical Information ◽  
Risk Map ◽  
Parasite Life Cycle ◽  
Gilan Province

Background: This study aimed to investigate the prevalence of fascioliasis and to perform a climatological analysis of different regions of Iran based on the current situation of the parasite and its intermediate host using Geographical Information System (GIS). Methods: Meteorological data were obtained from Iran Meteorological Organization. Risk map of fascioliasis transmission was prepared based on this data and using forecasting indices. Further, the number of fascioliasis cases from 31 provinces reported to the Iran Veterinary Organization were collected and prevalence maps of livestock fascioliasis were drawn. Results: The main risk hotspots were found in Northern provinces like Golestan, Mazandaran and Gilan as well as some Southern provinces such as Kohgiluyeh and Boyer-Ahmad and Chaharmahal and Bakhtiari and Fars, which have ideal conditions for completion of the parasite life cycle. Moreover, Gilan Province with 10.83% had the highest rate of fascioliasis infection in slaughtered animal. Conclusion: Iran is one of the most important foci of fascioliasis globally. Several provinces of Iran have appropriate conditions for evolution of parasite life cycle and presence of its intermediate host. These regions require special attention and serious determination in order to control fascioliasis in human and animals.

scholarly journals Carbon Measurement: An Overview of Forest Carbon Estimation Methods and the Role of Geographical Information System and Remote Sensing Techniques for REDD+ Implementation

2016 ◽  
Vol 13 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Thakur Bhattarai ◽  
Margaret Skutsch ◽  
David Midmore ◽  
Him Lal Shrestha
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Information System ◽  
Developing Countries ◽  
Geographical Information System ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Geographical Information ◽  
Successful Implementation

Many scientists and policy makers consider payment for environmental services, particularly carbon payment for forest management, a cost-effective and practical solution to climate change and unsustainable development. In recent years an attractive policy has been discussed under the United Nation Framework Convention on Climate Change (UNFCCC): Reducing Emissions from Deforestation and Forest Degradation (REDD+), sustainable management of forest, and conservation and enhancement of carbon in developing countries. This could potentially reward forest-managing communities in developing countries. One of the challenging tasks for the successful implementation of this policy is setting up reliable baseline emissions scenarios based on the historical emissions as input for business as usual projections. Forest biomass measurements, the quantification of carbon stocks, their monitoring, and the observation of these stocks over time, are very important for the development of reference scenario and estimation of carbon stock. This paper reviews a numbers of methods available for estimating forest carbon stocks and growth rates of different forest carbon pools. It also explores the limitations and challenges of these methods for use in different geographical locations, and suggests ways of improving accuracy and precision that reduce uncertainty for the successful implementation of REDD+. Furthermore, the paper assesses the role of remote sensing (RS) and geographical information system (GIS) techniques in the establishment of a long-term carbon inventory.Journal of Forest and Livelihood 13(1) May, 2015, Page:69-86

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