scholarly journals The ‘Boomer remover’: Intergenerational discounting, the coronavirus and climate change

2021 ◽  
pp. 003802612110490
Author(s):  
Rebecca Elliott
Keyword(s):  
Climate Change ◽  
Social Problems ◽  
Negative Effects ◽  
Care Giving ◽  
Twitter Data ◽  
Social Problems Theory ◽  
Data Source ◽  
Narrative Frame ◽  
Crisis Conditions

Based on an analysis of Twitter data, this article examines the appearance of generational ideas in the ways that people have defined the experience and significance of the coronavirus and climate change, as well as related them to each other. I characterize the narrative frame as one of intergenerational discounting: a description of breakdown in reciprocal obligations of care, giving rise to accusations of hypocrisy, expressions of resentment and rage, and the description of the virus as the ‘Boomer remover’. This frame normatively licenses withdrawal from intergenerational action in pursuit of collective objectives, as well as erases the disproportionate negative effects of crisis conditions on those facing intersecting intragenerational disadvantages. In addition to analysing a strategic but thus far unexplored data source for social problems theory and the sociology of generations – tweets – the article contributes to this scholarship by demonstrating how generational ideas work to morally link different conditions to each other.

PENERAPAN SOSIODRAMA DALAM MENINGKATKAN KEMAMPUAN MENGELOLA KONFLIK REMAJA

2019 ◽  
Vol 11 (1) ◽  
pp. 81-104
Author(s):  
Adam Adam
Keyword(s):  
High School ◽  
Junior High School ◽  
Social Problems ◽  
Transition Period ◽  
Human Life ◽  
Negative Effects ◽  
Human Relationships ◽  
Human Needs ◽  
Social Disintegration ◽  
Group Members

The process of human development is inseparable from the influence of the environment, so the development of adolescents who sit in junior high school will be different from adolescents in high school, or in college, even though human life is definitely not going to be separated from the past and the future. Adolescence is one of the development periods experienced by humans in their lives. During the transition, adolescents are in an unstable condition. There is a feeling of insecurity, because they have to change or change the behavior patterns of adolescents from children to adults. From this transition period the potential for social conflict arises, because of the desire to meet human needs. Sociodrama is one of the techniques in group guidance that aims to solve social problems that arise in human relationships that can be implemented if most group members face similar social problems, or if they want to practice or change certain attitudes. Conflicts can have positive or negative effects, and they always exist in life. The problem is how the conflict can be managed in such a way that it does not cause social disintegration. Therefore, it needs a conflict management, so that the conflict can be controlled and directed

scholarly journals The Effects of US State-Level Energy and Environmental Policies on Clean Tech Innovation and Employment

2016 ◽  
Vol 6 (2) ◽  
pp. 1 ◽  
Author(s):  
Ross Gittell ◽  
Josh Stillwagon
Keyword(s):  
Climate Change ◽  
Climate Change Policy ◽  
State Level ◽  
Environmental Policies ◽  
Environmental Benefits ◽  
Level Energy ◽  
Negative Effects ◽  
Employment Benefits ◽  
Technology Industry ◽  
Change Policy

<p>This paper explores the influence of US state-level policies meant to address climate change on clean technology industry development. The largest influence of climate change policies is identified as being on energy research employment. Only some policies seem to contribute positively to clean tech employment while other policies appear to discourage employment growth. The magnitudes of the short term effects, even when statistically significant, are modest. Negative impacts on employment are identified for several mandate-oriented, so called command and control, policies including vehicle greenhouse gas standards, energy efficiency resource standards, and renewable portfolio standards with the former two having increasing negative effects over time. The findings suggest that climate change policy advocates should be careful to not assume that there will be positive clean tech employment benefits from state-level energy and environmental policies. Instead, the benefits from these policies may derive primarily from other considerations beyond the scope of this paper, including health and environmental benefits and reduction of dependence on foreign energy sources.</p>

Reforestation can compensate negative effects of climate change on amphibians

2021 ◽  
Vol 260 ◽  
pp. 109187
Author(s):  
Quezia Ramalho ◽  
Luara Tourinho ◽  
Mauricio Almeida-Gomes ◽  
Mariana M. Vale ◽  
Jayme A. Prevedello
Keyword(s):  
Climate Change ◽  
Negative Effects

Nonprobability Sampling and Twitter

2017 ◽  
Vol 36 (2) ◽  
pp. 195-211 ◽  
Author(s):  
Patrick Rafail
Keyword(s):  
Social Sciences ◽  
Application Programming Interface ◽  
Sampling Strategies ◽  
Twitter Data ◽  
Large Databases ◽  
The Social ◽  
Application Programming ◽  
Data Source ◽  
Twitter Activity ◽  
Programming Interface

Twitter data are widely used in the social sciences. The Twitter Application Programming Interface (API) allows researchers to build large databases of user activity efficiently. Despite the potential of Twitter as a data source, less attention has been paid to issues of sampling, and in particular, the implications of different sampling strategies on overall data quality. This research proposes a set of conceptual distinctions between four types of populations that emerge when analyzing Twitter data and suggests sampling strategies that facilitate more comprehensive data collection from the Twitter API. Using three applications drawn from large databases of Twitter activity, this research also compares the results from the proposed sampling strategies, which provide defensible representations of the population of activity, to those collected with more frequently used hashtag samples. The results suggest that hashtag samples misrepresent important aspects of Twitter activity and may lead researchers to erroneous conclusions.

scholarly journals The effect of climate change on depression in urban areas of western Iran

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hamed Abbasi
Keyword(s):  
Climate Change ◽  
Mental Health ◽  
Urban Areas ◽  
Climate Changes ◽  
Climatic Conditions ◽  
Negative Effects ◽  
Western Iran ◽  
Regime Changes ◽  
Climatic Time Series ◽  
Climatic Elements

Abstract Objective Human is accustomed to climatic conditions of the environment where they are born and live throughout their lifetime. The aim of this study is to examine mood swings and depression caused by sudden climate changes that have not yet given the humans a chance to adapt. Results Our results showed that depression could be affected by climate change and as a result, the behavior of climatic elements and trends has damaged mental health in the western regions of Iran. By investigating the trends and changes of climatic time series and their relationship with the rate of depression in urban areas of western Iran, it can be said that climate change is probably a mental health challenge for urban populations. Climate change is an important and worrying issue that makes the life difficult. Rapid climate changes in western Iran including rising air temperature, changes in precipitation, its regime, changes cloudiness and the amount of sunlight have a negative effects on health. The results showed that type of increasing or decreasing trend, as well as different climatic elements in various seasons did not have the same effect on the rate of depression in the studied areas.

Effect of multi-level and multi-scale spectral data source on vineyard state assessment via spectral vegetation indices

2021 ◽  
Author(s):  
Antonello Bonfante ◽  
Arturo Erbaggio ◽  
Eugenia Monaco ◽  
Rossella Albrizio ◽  
Pasquale Giorio ◽  
...  
Keyword(s):  
Climate Change ◽  
Data Collection ◽  
State Estimation ◽  
Spectral Data ◽  
Spatial Resolution ◽  
Spectral Region ◽  
Vegetation Indices ◽  
Plant Management ◽  
Spectral Vegetation Indices ◽  
Data Source

&lt;p&gt;Currently, the main goal of agriculture is to promote the resilience of agricultural systems in a sustainable way through the improvement of use efficiency of farm resources, increasing crop yield and quality, under climate change conditions. Climate change is one of the major challenges for high incomes crops, as the vineyards for high-quality wines, since it is expected to drastically modify plant growth, with possible negative effects especially in arid and semi-arid regions of Europe. In this context, the reduction of negative environmental impacts of intensive agriculture (e.g. soil degradation), can be realized by means of high spatial and temporal resolution of field crop monitoring, aiming to manage the local spatial variability.&lt;/p&gt;&lt;p&gt;The monitoring of spatial behaviour of plants during the growing season represents an opportunity to improve the plant management, the farmer incomes and to preserve the environmental health, but it represents an additional cost for the farmer.&lt;/p&gt;&lt;p&gt;The UAS-based imagery might provide detailed and accurate information across visible and near infrared spectral regions to support monitoring (crucial for precision agriculture) with limitation in bands and then on spectral vegetation indices (Vis) provided. VIs are a well-known and widely used method for crop state estimation. The ability to monitor crop state by such indices is an important tool for agricultural management. While differences in imagery and point-based spectroscopy are obvious, their impact on crop state estimation by VIs is not well-studied. The aim of this study was to assess the performance level of the selected VIs calculated from reconstructed high-resolution satellite (Sentinel-2A) multispectral imagery (13 bands across 400-2500nm with spatial resolution of &lt;2m) through Convolutional Neural Network (CNN) approach (Brook et al., 2020), UAS-based multispectral (5 bands across 450-800nm spectral region with spatial resolution of 5cm) imagery and point-based field spectroscopy (collecting 600 wavelength across&amp;#160; 400-1000nm spectral region with a surface footprint of 1-2cm) in application to crop state estimation.&lt;/p&gt;&lt;p&gt;The test site is a portion of vineyard placed in southern Italy cultivated on Greco cultivar, in which the soil-plant and atmosphere system has been monitored during the 2020 vintage also through ecophysiological analyses. The data analysis will follow the methodology presented in a recently published paper (Polinova et al., 2018).&lt;/p&gt;&lt;p&gt;The study will connect the method and scale of spectral data collection with in vivo plant monitoring and prove that it has a significant impact on the vegetation state estimation results. It should be noted that each spectral data source has its advantages and drawbacks. The plant parameter of interest should determine not only the VIs type suitable for analysis but also the method of data collection.&lt;/p&gt;&lt;p&gt;The contribution has been realized within the CNR BIO-ECO project.&lt;/p&gt;

scholarly journals The Impacts of Climate Change on Agricultural Production and Sustainable Agriculture of Smallholder Farmers in Vietnam

2021 ◽  
Vol 4 (2) ◽  
pp. 1100-1107
Author(s):  
Nguyen Van Phu
Keyword(s):  
Climate Change ◽  
Sustainable Agriculture ◽  
Supply Chains ◽  
Agricultural Land ◽  
Smallholder Farmers ◽  
Ghg Emissions ◽  
Human Beings ◽  
Negative Effects ◽  
Food Supply Chains ◽  
The World

Climate change is one of the greatest threats to human beings, and agriculture is one of the fields that is most negatively affected by climate change. Farmers around the world and global food supply chains are impacted by the more extreme weather phenomena and increased damage of diseases and pests caused by climate change. Today, almost all agricultural enterprises and farms consider climate change a serious long-term risk for their production. Agricultural land systems can produce significant greenhouse gases (GHGs) by the conversion of forests to crop- and animal lands, and also through the weak management of crops and livestock. Around the world, cultivation and cattle production accounts for 25% of global GHG emissions (Javeline, ‎2014). However, under suitable conditions, agriculture can create environmental conditions that can help minimize pollution and the negative effects of climate change including carbon absorption by green plants in forests, and fields for watershed protection and biodiversity conservation. Sustainable agriculture helps farmers to adapt, maintain, and improve productivity without applying harmful techniques. In turn, this allows farms to manage and mitigate climate-related risks in their supply chains. The Sustainable Agriculture Network (SAN) has found new ways to incorporate smart climate cultivation methods into all farming practices to help farms and enterprises carry out agriculture sustainably.

scholarly journals Genetic diversity of native and cultivated Ugandan Robusta coffee (Coffea canephora Pierre ex A. Froehner): Climate influences, breeding potential and diversity conservation

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245965
Author(s):  
Catherine Kiwuka ◽  
Eva Goudsmit ◽  
Rémi Tournebize ◽  
Sinara Oliveira de Aquino ◽  
Jacob C. Douma ◽  
...  
Keyword(s):  
Climate Change ◽  
Genetic Diversity ◽  
Allelic Variation ◽  
Coffea Canephora ◽  
Ex Situ ◽  
Negative Effects ◽  
Robusta Coffee ◽  
Genetic Diversity And Structure ◽  
Adaptive Diversity ◽  
Southern Central

Wild genetic resources and their ability to adapt to environmental change are critically important in light of the projected climate change, while constituting the foundation of agricultural sustainability. To address the expected negative effects of climate change on Robusta coffee trees (Coffea canephora), collecting missions were conducted to explore its current native distribution in Uganda over a broad climatic range. Wild material from seven forests could thus be collected. We used 19 microsatellite (SSR) markers to assess genetic diversity and structure of this material as well as material from two ex-situ collections and a feral population. The Ugandan C. canephora diversity was then positioned relative to the species’ global diversity structure. Twenty-two climatic variables were used to explore variations in climatic zones across the sampled forests. Overall, Uganda’s native C. canephora diversity differs from other known genetic groups of this species. In northwestern (NW) Uganda, four distinct genetic clusters were distinguished being from Zoka, Budongo, Itwara and Kibale forests A large southern-central (SC) cluster included Malabigambo, Mabira, and Kalangala forest accessions, as well as feral and cultivated accessions, suggesting similarity in genetic origin and strong gene flow between wild and cultivated compartments. We also confirmed the introduction of Congolese varieties into the SC region where most Robusta coffee production takes place. Identified populations occurred in divergent environmental conditions and 12 environmental variables significantly explained 16.3% of the total allelic variation across populations. The substantial genetic variation within and between Ugandan populations with different climatic envelopes might contain adaptive diversity to cope with climate change. The accessions that we collected have substantially enriched the diversity hosted in the Ugandan collections and thus contribute to ex situ conservation of this vital genetic resource. However, there is an urgent need to develop strategies to enhance complementary in-situ conservation of Coffea canephora in native forests in northwestern Uganda.

scholarly journals Interacting effects of cold snaps, rain, and agriculture on the fledging success of a declining aerial insectivore

2021 ◽  
Author(s):  
Daniel Roy Garrett ◽  
Fanie Pelletier ◽  
Dany Garant ◽  
Marc Bélisle
Keyword(s):  
Climate Change ◽  
Agricultural Intensification ◽  
Prey Availability ◽  
Tree Swallow ◽  
Landscape Changes ◽  
Population Declines ◽  
Negative Effects ◽  
Fledging Success ◽  
Inclement Weather ◽  
Aerial Insectivore

Climate change predicts the increased frequency, duration, and intensity of inclement weather periods, such as unseasonably low temperatures and prolonged precipitation. Many migratory species have advanced the phenology of important life history stages, and as a result are likely exposed to these periods of inclement spring weather more often, thus risking reduced fitness and population growth. For declining avian species, including aerial insectivores, anthropogenic landscape changes such as agricultural intensification are another driver of population declines. These landscape changes may affect the foraging ability of food provisioning parents, as well as reduce the probability a nestling will survive periods of inclement weather, through for example pesticide exposure impairing thermoregulation and punctual anorexia. Breeding in agro-intensive landscapes may thus exacerbate the negative effects of inclement weather under climate change. We used daily temperatures related to significant reductions of insect prey availability (cold snaps), combined with measures of precipitation, and assessed their impact on Tree Swallow (Tachycineta bicolor) fledging success, a declining aerial insectivore breeding across a gradient of agricultural intensification. Fledging success decreased with the number of cold snap days experienced by a brood, and this relationship was worsened during periods of prolonged precipitation. We further found the overall negative effects of experiencing periods of inclement weather are exacerbated in more agro-intensive landscapes. Our results indicate that two of the primary hypothesized drivers of many avian population declines may interact to further increase the rate of declines in certain landscape contexts.

scholarly journals “No Car Day”

2020 ◽  
Vol 5 (1) ◽  
pp. 15-18
Author(s):  
Richard Chu ◽  
Vijey Jeevakumaran
Keyword(s):  
Climate Change ◽  
Correlational Study ◽  
Negative Effects ◽  
Car Use ◽  
Specific Event

Transportation is the major factor contributing to climate change. We decided to address the issue of transportation in relation to climate change for this research-informed action (RiA) project. The purpose of our RiA project was to learn about transportation and climate change, conduct a mini-correlational study, and address the issue by encouraging students and their parents to limit car use. After learning that a larger portion of the boys and girls that we surveyed rely on cars to get to school we decided to organize an event called “No Car Day” at Erindale SS on March 22, 2013. This coincided with Earth Hour. In addition, we made announcements from Monday to Thursday to inform student s about this specific event. We counted the number of cars prior to the event and found that an average of 156 cars dropped students off in the morning. On the morning of the event, we counted the number of cars again. This time, the number of cars was 115.We think that our campaign made a difference. We want to encourage students in other schools to organize similar events. We encourage our peers and our teachers to carpool, take the bus, bike or walk. If we all do our part, then we may be able to alleviate the negative effects that transportation has on climate change before it is too late.

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