scholarly journals Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

2014 ◽  
Vol 8 (2) ◽  
pp. 405 ◽  
Author(s):  
Hassan M. Khormi ◽  
Lalit Kumar
Keyword(s):  
Climate Change ◽  
Information System ◽  
Aedes Aegypti ◽  
Geographical Information System ◽  
Spatial Modelling ◽  
Global Distribution ◽  
Geographical Information

scholarly journals Mapping Climate Changes in Iraq By Using Geographical Information System (GIS)

2018 ◽  
Vol 7 (4.20) ◽  
pp. 578 ◽  
Author(s):  
Zainab Sahib Jawad ◽  
Fatima Asaad Tayeb ◽  
Asaad Tayeb Kareem Jebur
Keyword(s):  
Climate Change ◽  
Information System ◽  
Greenhouse Gases ◽  
Geographical Information System ◽  
Air Temperature ◽  
Greenhouse Effect ◽  
Interpolation Method ◽  
Geographical Information ◽  
Spatial Interpolation Method ◽  
Carbon Dioxide Co2

The Trapped sun’s thermal radiation in the earth’s atmosphere is known as the greenhouse effect.  This process is considered very important since it keeps the earth warm and hence possible to live in. Greenhouse gases such as carbon dioxide (CO2) and methane (CH4) are considered very important contributors to the greenhouse effect. During the last two decades, the level of greenhouse gases has increased, which plays a major role in global warming and climate change. The Middle East is considered among the most affected areas by climate change. In the current study, Geographical Information System (GIS) has been used to create some temperature maps that could show the air temperature distribution and difference between two different periods of time (past and recent) in different stations that cover the Iraqi governorates. A spatial interpolation method has been used. This method considers known values of temperature at a given location (stations in the current study) to estimate a continuous surface map during a specific period of time. The results of this study showed no significant increase in the average air temperature values, however the area of high air temperature values is growing during the cold and hot months of the year.  

scholarly journals Geographical Information System for Beekeeping Development

2019 ◽  
Vol 63 (1) ◽  
pp. 5-16
Author(s):  
Hossam F. Abou-Shaara
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographical Information System ◽  
Honey Bees ◽  
Geographical Information ◽  
Computer Based ◽  
Geographical Locations

AbstractGeographical Information System (GIS) is a computer-based system that can perform analysis for various datasets in relation to specific geographical locations and has been widely applied in agriculture. So far, GIS has been used in relatively few studies related to honey bees and beekeeping, but this article aims to review those previously performed and to present trends to apply GIS in beekeeping and then to help and guide researchers to perform more studies utilizing it. GIS can clearly be utilized to select suitable locations for apiaries, to map bee plants, to study bee behavior, diseases and pests, and to predict the effects of climate change on honey bees beside other benefits for beekeeping. Many obstacles and problems facing beekeeping can be mapped and analyzed using GIS, and other techniques can be used with it to perform the required tasks as presented in this review.

scholarly journals Rainfall prediction to evaluate the flood risk using remote sensing and geographical information system

2021 ◽  
Vol 1 (2) ◽  
pp. 14-22
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Flood Risk ◽  
Curve Number ◽  
Geographical Information ◽  
Runoff Curve Number

Abstract: In this study, the runoff curve number map for Navrud watershed in north of Iran was determined based on the soil hydrological group, land-use and land-cover using remote sensing and geographical information system. For this objective, land-cover and Land-use situation maps were prepared using NDVI index and Landsat satellite data, respectively. Runoff curve number maps were determined using the overlay prepared maps in GIS and SCS table. For evaluating the accuracy of estimated curve numbers, runoff maximum discharge was calculated using HEC-HMS model and compared to the observed values. Furthermore, the climate change trend and probabilistic distribution functions were considered to predict the flood risk. The effects of climate change were defined by atmospheric general circulation models for A1B, A2 and B1 scenarios. Error analysis between calculated and observed discharge showed that watershed curve number was determined with acceptable accuracy.

scholarly journals Cenários futuros de epidemia do oídio da videira com as mudanças climáticas para o Brasil (Future scenarios of powdery mildew epidemic on grape under climate change for Brazil)

2015 ◽  
Vol 8 ◽  
pp. 454
Author(s):  
Emília Hamada ◽  
Francislene Angelotti ◽  
Lucas Da Ressurreição Garrido ◽  
Raquel Ghini
Keyword(s):  
Climate Change ◽  
Information System ◽  
Powdery Mildew ◽  
Geographical Information System ◽  
Global Climate Models ◽  
Plant Diseases ◽  
Geographical Information ◽  
Weather Data ◽  
Uncinula Necator ◽  
Impact Of Climate Change

Devido à intensa relação entre o ambiente e as doenças de plantas, alterações na distribuição geográfica e temporal das doenças podem ocorrer como impacto das mudanças climáticas. A vitivinicultura tem crescido de importância nos últimos anos no Brasil e as doenças constituem um sério problema para a cultura. O oídio, causado pelo fungo Uncinula necator, é uma das principais doenças que afetam a videira. O objetivo deste estudo foi avaliar o impacto potencial das mudanças climáticas na favorabilidade do oídio da videira no país, baseado em critérios de lógica matemática, associando combinações de faixas de variáveis climáticas com classes de favorabilidade e utilizando as ferramentas de SIG - Sistema de Informações Geográfica. O estudo considerou os meses ao longo do ano dos períodos de 1961-1990 e de 2011-2040, 2041-2070 e 2071-2100, nos cenários B1 e A2 do IPCC. A temperatura média e a umidade relativa foram os dados climáticos básicos de entrada no banco de dados do SIG e foram obtidos de projeções dos modelos climáticos globais do Quarto Relatório de Avaliação do IPCC. Os mapas de distribuição geográfica de respostas favoráveis à doença mostram que haverá alteração no futuro, com aumento da área favorável à sua incidência no Brasil, em ambos os cenários. Due to the intense relationship between environment and plant diseases, changes in the geographical and temporal distribution of diseases may occur as an impact of climate change. Viticulture in Brazil has been growing in importance in recent years and disease are a serious crop issue. Powdery mildew, also known as oidium, caused by the fungus Uncinula necator, is one of the main diseases affecting this crop. The objective of this study was to assess the potential impact of climate change on the favorability of grape oidium in Brazil, based on criterions of mathematical logic associating combinations of ranges of climate variables with classes of favorability and using Geographical Information System - GIS tools. The study considered the months throughout the year of periods of 1961-1990 and 2011-2040, 2041-2070, and 2071-2100, scenarios B1 and A2 of IPCC. Mean temperature and relative humidity were the basic weather data entered in the GIS database, obtained by projections of global climate models from IPCC Fourth Assessment Report. Maps of geographic distribution of favorable responses for the disease show that in the future there will be change, increasing the favorable area for their incidence in the Brazil, in both scenarios. Keywords: Vitis spp., Uncinula necator, plant disease, Geographical Information System.   

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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