scholarly journals Analysis of the Arbovirosis Potential Occurrence in Dobrogea, Romania

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 374
Author(s):  
Carmen Maftei ◽  
Alina Bărbulescu ◽  
Sorin Rugina ◽  
Cristian Dorin Nastac ◽  
Irina Magdalena Dumitru
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Climatic Factors ◽  
Mosquito Species ◽  
Climate Dynamics ◽  
Species Characteristics ◽  
New Challenges ◽  
Stage 1 ◽  
Potential Geographic Distribution

Climate change creates new challenges for preventing and protecting human health against different diseases that could appear and propagate. The Aedes albopictus mosquito species is an important vector for different diseases like dengue fever or zika. Although this species is not “indigenous” in Europe, its presence is noticed in many countries on the continent. The Ae. albopictus establishment is conditioned by the species’ characteristics and environmental factors. To assess the possible spread of Ae. albopictus in the Dobrogea region (situated in the Southeast of Romania), we conducted the following analysis: (1) Investigation of the current distribution and climatic factors favoring Ae. albopictus’ establishment in Europe; (2) Analysis of climate dynamics in Dobrogea in terms of the parameters identified at stage (1); (3) Testing the hypothesis that the climate from Dobrogea favors Ae. albopictus’ establishment in the region; (4) Building a Geographic Information System (GIS)-based model of the potential geographic distribution of Ae. albopictus in Dobrogea. Results show that the climate of Dobrogea favors the apparition of the investigated species and its proliferation.

scholarly journals Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Carlos V. C. Weiss ◽  
Volney Bitencourt ◽  
Cristina Bernardes
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Open Source ◽  
Sea Level ◽  
Open Source Software ◽  
Coastal Management ◽  
Geographic Information ◽  
End Point Rate

This work assesses sea-level rise using three different models created on Free and Open-Source Software for Geographic Information System (FOSS4GIS). Based on regional projections of Special Report on Climate Change and Oceans and Cryosphere (SROCC) of the Intergovernmental Panel on Climate Change (IPCC), the models were applied to a case of study on Rio Grande do Sul coast – Brazil under different sea-level rise scenarios by the end of this century. The End Point Rate for QGIS (EPR4Q), calculates a shoreline projection using End Point Rate method. The Uncertainty Bathtub Model (uBTM), analyses the sea-level rise impact by the uncertainty of sea-level projec-tions and vertical error of the Digital Elevation/Terrain Model (DEM/DTM). The Bruun Rule for Google Earth Engine Model (BRGM) predicts the shoreline position with sea-level rise, using topographic and bathymetric data from Unmanned Aerial Vehicles (UAV) and Coastal Modelling System (SMC – Brazil), respectively. The results indicated a maximum shoreline retreat for 2100 of -502 m and -1727 m using EPR4Q and BRGM, correspondingly. The uBTM using the land-use of Mapbiomas showed a maximum of 44.57 km2 of urban area impacted by the sea-level flood. This research highlights the possibility of performing coastal management analysis in GIS environ-ment using non-commercial software.

The prediction and distribution of general yield classes of Sitka spruce in Scotland by empirical analysis of site factors using a geographic information system

1994 ◽  
Vol 24 (11) ◽  
pp. 2166-2171 ◽  
Author(s):  
S.M. Allison ◽  
M.F. Proe ◽  
K.B. Matthews
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Climatic Factors ◽  
Regional Scale ◽  
Sitka Spruce ◽  
Geographic Information ◽  
Climate Data ◽  
Site Factors ◽  
Site Factor ◽  
Yield Class

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.

scholarly journals A Hybrid GIS-DEMATEL Method to Analyze Land Suitability for Organic Farming: A Case Study from Vietnam

2020 ◽  
Vol 55 (6) ◽  
Author(s):  
Phi-Hung Nguyen ◽  
Bich- Thao Nguyen ◽  
Viet-Trang Nguyen ◽  
Hong- Phuc Nguyen
Keyword(s):  
Decision Making ◽  
Information System ◽  
Geographic Information System ◽  
Organic Farming ◽  
Climatic Factors ◽  
Geographic Information ◽  
Laboratory Method ◽  
Land Suitability ◽  
Future Research ◽  
Suitability Assessment

Land suitability assessment is an essential step for the planning and development of land use. This study aims to determine suitable lands for organic farming using an integration of the Geographic Information System and the Decision-Making Trial and Evaluation Laboratory method. Geographic Information System is a flexible and practical framework to assess and map the different criteria, including climatic factors, internal soil characteristics, and topographic features. The Decision-Making Trial and Evaluation Laboratory method is employed to identify the weights of the proposed factors. We investigated the data of 126 soil profiles covering 23220 hectares of land, located in Tamdao district, Vinh Phuc province, in the north of Vietnam. The results revealed that the proportion of land currently highly suitable for organic farming is 25.93% (6020.22 hectares), while the amount of land that is marginally suitable is 6.38% (1481.82 hectares). The amount of land that is moderately suitable for organic farming is 67.69% (15718.08 hectares). Therefore, the proposed method can improve planning and decision-making regarding land that is suitable for cultivation. Future research may deal with a more significant number of selected criteria with different methods, such as Entropy, Analytic Hierarchy Process, and CRiteria Importance Through Intercriteria Correlation to increase this model's power. This study can offer decision-makers insight to understand cause-effect relationships and select suitable sites for other research fields.

scholarly journals A global synthesis of phenological responses to climate change

2017 ◽  
Author(s):  
Jeremy M. Cohen ◽  
Marc J. Lajeunesse ◽  
Jason R. Rohr
Keyword(s):  
Climate Change ◽  
Body Size ◽  
Climatic Factors ◽  
Sampling Error ◽  
Important Species ◽  
Interacting Species ◽  
Timing Of Migration ◽  
Species Characteristics ◽  
Phenological Shifts ◽  
Comprehensive Framework

Phenology, or the timing of seasonal activities, is shifting with climate change, resulting in disruptions to the timing of migration and breeding and in emerging asynchronies between interacting species1-5. Recent syntheses have concluded that trophic level1, latitude6, and how phenological responses are measured7 are key to determining the strength of phenological responses to climate change. However, despite these insights, researchers still lack a comprehensive framework that can predict responses to climate change globally and across diverse taxa. For example, little is known about whether phenological shifts are driven by different climatic factors across regions or which ecologically important species characteristics (e.g., body size) predict the strength of phenological responses. Here, we address these questions by synthesizing hundreds of published time series of animal phenology from across the planet. We find that temperature drives phenological responses at mid-latitudes, but precipitation is more important at lower latitudes, likely because these climate factors often drive seasonality in each of these regions. Body size is also negatively associated with the strength of phenological shift, suggesting emerging asynchronies between interacting species that differ in size, such as hosts and ectoparasites and predators and prey. Finally, although there are many compelling biological explanations for spring phenological delays, some examples of delays are associated with short annual records prone to sampling error. As climate change intensifies, our findings arm biologists with predictions concerning which climatic variables and organismal traits drive phenological shifts.

scholarly journals Information system "BW_Abfluss": regionalisation of flood, mean and low flow parameters

2007 ◽  
Vol 11 ◽  
pp. 57-61
Author(s):  
A. S. Blatter ◽  
J. Liebert ◽  
P. A. Preuss ◽  
J. Szabadics ◽  
J. Ihringer
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Water System ◽  
Low Flow ◽  
Federal State ◽  
Close Collaboration ◽  
Flow Parameters ◽  
New Concepts ◽  
Database Structure

Abstract. On behalf of and in close collaboration with the institution of environment, measurements and conservation of the federal state of Baden-Württemberg (Landesanstalt für Umwelt, Messungen und Naturschutz Baden-Württemberg/LUBW/ see http://www.lubw.baden-wuerttemberg.de/) an innovative regionnalisation concept has been developed. This concept allows the supply of flood, mean or low flow parameters for 10 790 sites in Baden-Württemberg and an evaluation of the predicted impact of climate change on the flood situation. The extensive data basis for this regionalisation concept with numerous input parameters and varied result reporting made it necessary to select an appropriate database structure. New software was developed to help with the calculations, notably for: – upgrading the official areal water system register (Gewässerkundliches Flächenverzeichnis/GKFV) – proofing tools to maintain consistency – automatic parameter derivation with the software ESRI© ArcInfo. The results were published in electronic form and included a stand-alone geo-information software for easy and fast retrieval of data and results. The objective of this article is to describe the implementation of these new concepts for coupling Geographic Information System (GIS) and database needs to reach the identified requirements.

scholarly journals Determination of greenhouse gasses in al-Nahrawan suburban by geomatics technique

2018 ◽  
Vol 162 ◽  
pp. 05012
Author(s):  
Abdul-Razzak Ziboon ◽  
Ali Resheq ◽  
Abbas Hamza ◽  
Mays Abass
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Distribution Maps ◽  
Greenhouse Gasses ◽  
Arctic Ice ◽  
Earth’S Climate

Climate change is now more important than before, based on many evidence, humans were affecting on changing Earth’s climate. The atmosphere and oceans have warmed, by sea-level rise, a strong decline in Arctic ice sea, and other climate-related changes. The aim of this study was to calculate some important greenhousse gasses concentration such as CO2, CH4, N2O in AL-Nahrawan suburban -Baghdad city -Iraq. Geographic Information System (GIS) was utilized to map greenhouse gasses dispersion in AL-Nahrawan bricks factory. From GIS distribution maps for CO2, CH4, N2O, it was found that the value of these gasses were changed from one location to another according to the quantity of fuel used in bricks factory, Where the value of emitted CO2 ranged from (695 -854 tones), value of N2O ranged from (1.905 - 2.318 tones), and finally value of CH4 ranged from (0.286 - 0.347 tones).

scholarly journals ROLE OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM TO ANALYZE THE IMPACT OF CLIMATE CHANGE ON FOREST ECOSYSTEMS

2015 ◽  
Vol 3 (8) ◽  
pp. 61-68
Author(s):  
Shahid Mohommad ◽  
Shambhu Prasad Joshi
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Forest Ecosystem ◽  
Forest Fires ◽  
Geographic Information ◽  
Substantial Impact ◽  
The Impact

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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