scholarly journals Climate Change and Population Health: Possible Future Scenarios

Author(s):  
Arthur Saniotis ◽  
Alana Hansen ◽  
Peng Bi
2019 ◽  
Vol 111 ◽  
pp. 06006 ◽  
Author(s):  
Matteo Bilardo ◽  
Maria Ferrara ◽  
Enrico Fabrizio

In Europe, the second recast of EPBD promotes long-term strategies to accelerate the path to nZEBs, fostering the cost-optimized building design already suggested in the EPBD first recast. Since the nZEB design is a complex optimization problem that is subjected to uncertainty in its boundary conditions (climate, technologies, market, ...), it is necessary to guarantee the resilience of the NZEB optimal design to possible variations of future scenarios, especially as regards the climate change. This work applies the new EdeSSOpt methodology (Energy Demand and Supply Simultaneous Optimization) developed by the Authors aiming at investigating the variation of the cost-optimized multi-family building design in different Italian future climate scenarios, therefore considering parameters related to the building envelope, energy systems and renewable energy sources. The method is implemented into the TRNSYS® (energy model), GenOpt (optimizer) and WeatherShift® (future climate scenario generator) tools. The resulting cost-optimal solutions in future scenarios are related to a lower global cost and a decreased total primary energy consumption. Beyond the future trends of such performance indexes, the fact that most of technical solutions associated with the optimal solutions have not changed with the studied climate scenarios, indicates a certain resilience of the optimal design variables facing climate change.


2014 ◽  
Vol 71 (7) ◽  
pp. 1934-1955 ◽  
Author(s):  
Margaret M. McBride ◽  
Padmini Dalpadado ◽  
Kenneth F. Drinkwater ◽  
Olav Rune Godø ◽  
Alistair J. Hobday ◽  
...  

Abstract Arctic and Antarctic marine systems have in common high latitudes, large seasonal changes in light levels, cold air and sea temperatures, and sea ice. In other ways, however, they are strikingly different, including their: age, extent, geological structure, ice stability, and foodweb structure. Both regions contain very rapidly warming areas and climate impacts have been reported, as have dramatic future projections. However, the combined effects of a changing climate on oceanographic processes and foodweb dynamics are likely to influence their future fisheries in very different ways. Differences in the life-history strategies of the key zooplankton species (Antarctic krill in the Southern Ocean and Calanus copepods in the Arctic) will likely affect future productivity of fishery species and fisheries. To explore future scenarios for each region, this paper: (i) considers differing characteristics (including geographic, physical, and biological) that define polar marine ecosystems and reviews known and projected impacts of climate change on key zooplankton species that may impact fished species; (ii) summarizes existing fishery resources; (iii) synthesizes this information to generate future scenarios for fisheries; and (iv) considers the implications for future fisheries management. Published studies suggest that if an increase in open water during summer in Arctic and Subarctic seas results in increased primary and secondary production, biomass may increase for some important commercial fish stocks and new mixes of species may become targeted. In contrast, published studies suggest that in the Southern Ocean the potential for existing species to adapt is mixed and that the potential for the invasion of large and highly productive pelagic finfish species appears low. Thus, future Southern Ocean fisheries may largely be dependent on existing species. It is clear from this review that new management approaches will be needed that account for the changing dynamics in these regions under climate change.


2019 ◽  
Vol 174 ◽  
pp. 37-43 ◽  
Author(s):  
Jorge M. Navarro ◽  
Kurt Paschke ◽  
Alejandro Ortiz ◽  
Luis Vargas-Chacoff ◽  
Luis Miguel Pardo ◽  
...  

2011 ◽  
Vol 37 (2) ◽  
pp. 85-93 ◽  
Author(s):  
Raquel Ghini ◽  
Emília Hamada ◽  
Mário José Pedro Júnior ◽  
Renata Ribeiro do Valle Gonçalves

Risk analysis of climate change on plant diseases has great importance for agriculture since it allows the evaluation of management strategies to minimize future damages. This work aimed to simulate future scenarios of coffee rust (Hemileia vastatrix) epidemics by elaborating geographic distribution maps using a model that estimates the pathogen incubation period and the output from three General Circulation Models (CSIRO-Mk3.0, INM-CM3.0, and MIROC3.2.medres). The climatological normal from 1961-1990 was compared with that of the decades 2020s, 2050s and 2080s using scenarios A2 and B1 from the IPCC. Maps were prepared with a spatial resolution of 0.5 × 0.5 degrees of latitude and longitude for ten producing states in Brazil. The climate variables used were maximum and minimum monthly temperatures. The maps obtained in scenario A2 showed a tendency towards a reduction in the incubation period when future scenarios are compared with the climatological normal from 1961-1990. A reduction in the period was also observed in scenario B1, although smaller than that in scenario A2.


2019 ◽  
Vol 27 (4) ◽  
pp. 427-434 ◽  
Author(s):  
Emma J. Windfeld ◽  
James D. Ford ◽  
Lea Berrang-Ford ◽  
Graham McDowell

Community-level vulnerability assessments (VAs) are important for understanding how populations experience vulnerabilities to climate change in different ways given local socioeconomic and environmental factors. Despite recent expansion in the literature that evaluates vulnerability at the local level, approaches to understanding future scenarios and to integrating climatic and nonclimatic factors are inconsistent and often lack clear methodological information. This study utilized systematic review methods to characterize and compare future scenarios and the integration of climatic and nonclimatic stimuli in community-focused VAs published over the last five years. Five common methods for assessing future dimensions of vulnerability were characterized. Key challenges regarding sources and scales of information were highlighted alongside methods to integrate data spanning climatic and nonclimatic information at scales ranging from local to global. The majority of VAs considered current and past vulnerability; few VAs incorporated future scenarios and these studies focused on future climatic conditions while largely overlooking changes in nonclimatic drivers of vulnerability. Approaches to evaluate future dimensions of vulnerability included climate model projections, socioeconomic model projections, temporal analogue approaches, longitudinal approaches, and local perceptions. These methods often failed to capture the dynamic interactions between variables through time, as future impacts are unlikely to follow previous patterns of change. To combine datasets of different scales, VAs created vulnerability indices, overlaid spatial datasets, or used expert judgement. These approaches tended to aggregate local characteristics to the regional level at the expense of community specificity. There is a need for methodological advances to assess future scenarios and to combine datasets in the field of community-level climate change VAs to make these studies more responsive to local realities and relevant to the development of climate change adaptation strategies.


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