scholarly journals EXPRESS: Across Time, Across Space and Intersecting in Complex Ways: A Framework for Assessing Impacts of Environmental Disruptions on Nature-Dependent Prosumers

2020 ◽  
pp. 074391562097656
Author(s):  
Laurel Steinfield ◽  
Srinivas Venugopal ◽  
Samuelson Appau ◽  
Andres Barrios ◽  
Charlene Dadzie ◽  
...  
Keyword(s):  
Well Being ◽  
Extreme Weather Events ◽  
Research Perspective ◽  
Weather Events ◽  
Production And Consumption ◽  
Marketing Systems ◽  
Subsistence Markets ◽  
Political Economic ◽  
Global Systems ◽  
The Impact

Environmental disruptions, such as extreme weather events or poisoning of natural resources, are increasing in frequency and intensity. These critical global problems demand market- and policy-based solutions. Adopting a transformative consumer research perspective, this article examines the effects of environmental disruptions on the livelihoods of a very vulnerable group: nature dependent prosumers (NDPs). NDPs often live in subsistence markets, but the impact of environmental disruptions on their lives can have repercussions throughout local and global systems. This article thus offers practitioners and researchers a framework– the ‘cross-scale intersectionality matrix’ (CSIM)— to better understand the differing impacts of environmental disruptions and envisage effective solutions. The CSIM reveals how environmental disruptions impact marketing systems’ exchanges of production and consumption: i) across multiple spatiotemporal scales, resulting in cross-scale impacts (per eco-systems theory); and ii) in diverse ways for groups/individuals experiencing intersectional power asymmetries such as geo-political/economic power, classism/ableism and sexism (per intersectionality theory). Building on insights from the CSIM framework, this paper proposes improvements to research, and policy and market-based solutions intended to enhance the well-being of NDPs.

scholarly journals Extreme Meteorological Events in a Coastal Lagoon Ecosystem: The Ria de Aveiro Lagoon (Portugal) Case Study

2021 ◽  
Vol 9 (7) ◽  
pp. 727
Author(s):  
José Fortes Lopes ◽  
Carina Lurdes Lopes ◽  
João Miguel Dias
Keyword(s):  
Water Temperature ◽  
Coastal Lagoon ◽  
Early Summer ◽  
Extreme Weather Events ◽  
Climate Change Scenarios ◽  
State Variables ◽  
Ria De Aveiro ◽  
Physical Conditions ◽  
Weather Events ◽  
The Impact

Extreme weather events (EWEs) represent meteorological hazards for coastal lagoon hydrodynamics, of which intensity and frequency are increasing over the last decades as a consequence of climate changes. The imbalances they generated should affect primarily vulnerable low-lying areas while potentially disturbing the physical balances (salt and water temperature) and, therefore, the ecosystem equilibrium. This study arises from the need to assess the impact of EWEs on the Ria de Aveiro, a lagoon situated in the Portuguese coastal area. Furthermore, it was considered that those events occur under the frame of a future sea-level rise, as predicted by several climate change scenarios. Two EWEs scenarios, a dry and an extremely wet early summer reflecting past situations and likely to occur in the future, were considered to assess the departure from the system baseline functioning. It was used as a biogeochemistry model that simulates the hydrodynamics, as well as the baseline physical and biogeochemistry state variables. The dry summer scenario, corresponding to a significant reduction in the river’s inflow, evidences a shift of the system to a situation under oceanic dominance characterized by colder and saltier water (~18 °C; 34 PSU) than the baseline while lowering the concentration of the nutrients and reducing the phytoplankton population to a low-level limit. Under a wet summer scenario, the lagoon shifted to a brackish and warmer situation (~21 °C, <15 PSU) in a time scale of some tidal periods, driven by the combining effect of the tidal transport and the river’s inflow. Phytoplankton patterns respond to variability on local and short-term scales that reflect physical conditions within the lagoon, inducing nutrient-supported growth. Overall, the results indicate that EWEs generate local and transient changes in physical conditions (namely salinity and water temperature) in response to the characteristic variability of the lagoon’s hydrodynamics associated with a tidal-dominated system. Therefore, in addition to the potential impact of changing physical conditions on the ecosystem, saline intrusion along the lagoon or the transfer of brackish water to the mouth of the system are the main consequences of EWEs, while the main biogeochemistry changes tend to remain moderate.

Evaluating the effect of climate change on snow load on structures

2019 ◽  
Author(s):  
Pietro Croce ◽  
Paolo Formichi ◽  
Filippo Landi ◽  
Francesca Marsili
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Regional Climate ◽  
Climate Extremes ◽  
Regional Climate Models ◽  
Extreme Weather Events ◽  
Uncertainty Range ◽  
Greenhouse Gasses ◽  
Weather Events ◽  
The Impact

<p>As consequence of global warming extreme weather events might become more frequent and severe across the globe. The evaluation of the impact of climate change on extremes is then a crucial issue for the resilience of infrastructures and buildings and is a key challenge for adaptation planning. In this paper, a suitable procedure for the estimation of future trends of climatic actions is presented starting from the output of regional climate models and taking into account the uncertainty in the model itself. In particular, the influence of climate change on ground snow loads is discussed in detail and the typical uncertainty range is determined applying an innovative algorithm for weather generation. Considering different greenhouse gasses emission scenarios, some results are presented for the Italian Mediterranean region proving the ability of the method to define factors of change for climate extremes also allowing a sound estimate of the uncertainty range associated with different models.</p>

Impact of Climate Change on Rural Livelihood: A Case Study of Central Rajasthan

2021 ◽  
Vol 7 (4) ◽  
pp. 19-27
Author(s):  
Saifuddin Soz ◽  
Dhananjay Mankar
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Extreme Weather Events ◽  
Household Level ◽  
Impact Of Climate Change ◽  
The People ◽  
Weather Events ◽  
Rural Livelihood ◽  
The Pacific ◽  
The Impact

Climate change is already bringing tremendous influence on people’s lives, particularly the underprivileged. It’s already visible in a variety of ways. In recent decades, Asia and the Pacific have seen consistent warming trends as well as more frequent and powerful extreme weather events such as droughts, cyclones, floods, and hailstorms. This study was done in Ajmer District of Rajasthan, to find out the climate variation in the last 10 years. The study describes the effects due to climate change on the livelihoods of the people, so a descriptive research design was used for the study to find out the impact of climate change on rural livelihood in central Rajasthan. The study is based on a large representative of sample, quantitative data was collected to gain an idea of the impact on the livelihoods due to climate change at the household level. It shows the negative impact of climate change on rural livelihood which forced the people to change their livelihood directly or indirectly. It was found that climate change had an impact on people’s lives and people do understand the variation in climate change in terms of changes in the weather, unseasonal rain, and drought.

Does extreme rainfall lead to heavy losses in the food industry?

2019 ◽  
Vol 32 (2) ◽  
pp. 244-266
Author(s):  
Edimilson Costa Lucas ◽  
Wesley Mendes-Da-Silva ◽  
Gustavo Silva Araujo
Keyword(s):  
Stock Returns ◽  
Food Production ◽  
Food Industry ◽  
Extreme Rainfall ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Extreme Rainfall Events ◽  
Content Type ◽  
Weather Events ◽  
The Impact

Purpose Managing the risks associated to world food production is an important challenge for governments. A range of factors, among them extreme weather events, has threatened food production in recent years. The purpose of this paper is to analyse the impact of extreme rainfall events on the food industry in Brazil, a prominent player in this industry. Design/methodology/approach The authors use the AR-GARCH-GPD hybrid methodology to identify whether extreme rainfall affects the stock price of food companies. To do so, the authors collected the daily closing price of the 16 food industry companies listed on the Brazilian stock exchange (B3), in January 2015. Findings The results indicate that these events have a significant impact on stock returns: on more than half of the days immediately following the heavy rain that fell between 28 February 2005 and 30 December 2014, returns were significantly low, leading to average daily losses of 1.97 per cent. These results point to the relevance of the need for instruments to hedge against weather risk, particularly in the food industry. Originality/value Given that extreme weather events have been occurring more and more frequently, financial literature has documented attempts at assessing the economic impacts of weather changes. There is little research, however, into assessing the impacts of these events at corporate level.

scholarly journals Extreme Weather Impacts on Inland Waterways Transport of Yangtze River

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 133 ◽  
Author(s):  
Lijun Liu ◽  
Yuanqiao Wen ◽  
Youjia Liang ◽  
Fan Zhang ◽  
Tiantian Yang
Keyword(s):  
Heat Wave ◽  
Yangtze River ◽  
Heat Waves ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
The Yangtze River ◽  
Climate Zone ◽  
Inland Waterways ◽  
Weather Events ◽  
The Impact

The impact of extreme weather events on the navigation environment in the inland waterways of the Yangtze River is an interdisciplinary hotspot in subjects of maritime traffic safety and maritime meteorology, and it is also a difficult point for the implementation of decision-making and management by maritime and meteorological departments in China. The objective of this study is to review the variation trends and distribution patterns in the periods of adverse and extreme weather events that are expected to impact on inland waterways transport (IWT) on the Yangtze River. The frequency of severe weather events, together with the changes in their spatial extension and intensity, is analyzed based on the ERA-Interim datasets (1979–2017) and the GHCNDEX dataset (1979–2017), as well as the research progresses and important events (2004–2016) affecting the navigation environment. The impacts of extreme weather events on IWT accidents and phenomena of extreme weather (e.g., thunderstorms, lightning, hail, and tornadoes) that affect the navigation environment are also analyzed and discussed. The results show that: (1) the sections located in the plain climate zone is affected by extreme weather in every season, especially strong winds and heat waves; (2) the sections located in the hilly mountain climate zone is affected particularly by spring extreme phenomena, especially heat waves; (3) the sections located in the Sichuan Basin climate zone is dominated by the extreme weather phenomena in autumn, except cold waves; (4) the occurrence frequency of potential flood risk events is relatively high under rainstorm conditions and wind gusts almost affect the navigation environment of the Jiangsu and Shanghai sections in every year; (5) the heat wave indices (TXx, TR, and WSDI) tend to increase and the temperature of the coldest day of the year gradually increases; (6) the high occurrences of IWT accidents need to be emphasized by relevant departments, caused by extreme weather during the dry season; and (7) the trends and the degree of attention of extreme weather events affecting IWT are ranked as: heat wave > heavy rainfall > wind gust > cold spell > storm. Understanding the seasonal and annual frequency of occurrence of extreme weather events has reference significance for regional management of the Yangtze River.

scholarly journals Impacts of extreme weather on the health and well-being of people who are homeless

2014 ◽  
Vol 20 (1) ◽  
pp. 2 ◽  
Author(s):  
Catherine G. A. Pendrey ◽  
Marion Carey ◽  
Janet Stanley
Keyword(s):  
Service Providers ◽  
Well Being ◽  
Extreme Weather ◽  
Homeless Population ◽  
Extreme Weather Events ◽  
Original Research ◽  
Primary Health ◽  
Weather Events ◽  
Health And Well Being ◽  
Expected Increase

This letter responds to the article by Cusack et al., ‘Extreme weather-related health needs of people who are homeless’ (Australian Journal of Primary Health, 2013, 19(3), 250–255), which addressed the impacts of extreme weather on the health of the homeless population in inner city Adelaide. We compare the findings of Cusack et al. to our own original research, based on interviews with service providers to the homeless in urban and rural Victoria. We further place this issue in the broader context of climate change, which is crucial given the expected increase in extreme weather events and associated health impacts.

scholarly journals Dynamic Trends of Urban Flooding Mitigation Services in Shenzhen, China

2020 ◽  
Vol 12 (11) ◽  
pp. 4799 ◽  
Author(s):  
Dihang Xu ◽  
Zhiyun Ouyang ◽  
Tong Wu ◽  
Baolong Han
Keyword(s):  
Southern China ◽  
Remote Sensing Data ◽  
Urban Ecosystems ◽  
Curve Number ◽  
Well Being ◽  
Hydrologic Model ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Land Surfaces ◽  
Reduction Capacity

Urbanization is characterized by population agglomeration and the expansion of impervious land surfaces. As a result of ongoing urbanization, rain and flood events have increasingly affected the well-being of residents in cities across the world. This should draw attention to the role of urban ecosystems in providing runoff retention/flood mitigation services. Focusing on Shenzhen, a major city in southern China, we used a hydrologic model based on the Soil Conservation Service curve number (SCS-CN) model to evaluate this flood reduction ecosystem service and its dynamic trends based on long-term remote sensing data from 1980 to 2018. We find that Shenzhen’s capacity for flood reduction gradually decreased due to changes in land use. The spatial distribution showed strong reduction capacity in the eastern part of the city and weak capacity in the western part. Additionally, the city’s total flood reduction capacity decreased by over 1.88 × 108 m3 over the past two decades. This loss of ecosystem-based flood reduction capacity undermines Shenzhen’s resilience against extreme weather events. Due to climate change, Shenzhen should advance its plan to build a “Sponge City” rooted in the conservation, restoration, and construction of urban ecological spaces.

On the Landslide Hazard with the Impact of Climate Change in Central Taiwan

2020 ◽  
Author(s):  
Keh-Jian Shou
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
Extreme Weather ◽  
Tectonic Activity ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Future ◽  
Central Taiwan ◽  
The Impact ◽  
Taiwan Area

&lt;p&gt;Due to active tectonic activity, the rock formations are young and highly fractured in Taiwan area. The dynamic changing of river morphology makes the highly weathered formations or colluviums prone to landslide and debris flow. For the past decade, the effect of climate change is significant and creates more and more extreme weather events. The change of rainfall behavior significantly changes the landslide behavior, which makes the large-scale landslides, like the Shiaolin landslide, possible. Therefore, it is necessary to develop the new technologies for landslide investigation, monitoring, analysis, early warning, etc.&lt;/p&gt;&lt;p&gt;Since the landslide hazards in Taiwan area are mainly induced by heavy rainfall, due to climate change and the subsequent extreme weather events, the probability of landslides is also increased. Focusing on the upstreams of the watersheds in Central Taiwan, this project studied the behavior and hazard of shallow and deep-seated landslides. Different types of susceptibility models in different catchment scales were tested, in which the control factors were analyzed and discussed. This study also employs rainfall frequency analysis together with the atmospheric general circulation model (AGCM) downscaling estimation to predict the extreme rainfalls in the future. Such that the future hazard of the shallow and deep-seated landslide in the study area can be predicted. The results of predictive analysis can be applied for risk prevention and management in the study area.&lt;/p&gt;

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