The Utility of Economic Indicators to Promote Policy-Relevant Science for Climate Change Decisions

In recent decades, socio-economic variables have been widely used to investigate regional scale particularly in climate change studies. This paper aims to review appropriate socio-economic indicators for studies related to environment and climate at the level of spatial urban scale. It has been a challenge to select appropriate indicators because the interrelationship between human interference and the environment has proved difficult to be understood. The method used for the review is content analysis. The finding proposes the future research to choose suitable socio-economic indicators by referring to the scale of study and the spatial coverage of the topic. This article also provides a socio-economic framework to ensure that the appropriate of urban scale is the key aspect for selection of indicators in environmental and climate related studies.

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Socioeconomic Impact of Climate Change in Rural Areas of Greece Using a Multicriteria Decision-Making Model

Agronomy ◽

10.3390/agronomy11091779 ◽

2021 ◽

Vol 11 (9) ◽

pp. 1779

Author(s):

Ioannis Georgilas ◽

Christina Moulogianni ◽

Thomas Bournaris ◽

George Vlontzos ◽

Basil Manos

Keyword(s):

Climate Change ◽

Rural Areas ◽

Agricultural Production ◽

Multicriteria Decision Making ◽

Economic Indicators ◽

Socioeconomic Impacts ◽

The Social ◽

Multicriteria Model ◽

Farm Crop ◽

Impacts Of Climate Change

Agriculture is the main and, in some cases, the only, source of income and employment in rural areas. The change in the conditions under which agriculture is practiced has various effects on the agricultural economy but also on the social structure of rural areas. Climate change has multiple effects on agricultural production, necessitating the reorganization of agricultural production in some cases. These effects of climate change will also impact the economic and social aspects of farms in rural areas. This paper attempts to identify these effects by measuring the socioeconomic impacts of climate change in the region of Central Macedonia in Greece. For this reason, a multicriteria model was developed to simulate these impacts by estimating a set of seven social and economic indicators. The model was implemented to the average farm which was estimated from the main cultivations of the region. A scenario analysis was also used in combination with the multicriteria model. The multicriteria model suggests modifications are needed in the average farm crop plan of the region as a result of the climate change impact. The scenarios results show that climate change will negatively affect all the social and economic indicators and will continue to affect them over the years. These results can be used by policymakers to understand the economic and social impacts of climate change in the region to plan their future policies.

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Differential Perception and Logit Analysis of Climate Change Adaptation Strategies among Dairy Farmers in Arid and Semi-Arid Regions of Haryana

Asian Journal of Dairy and Food Research ◽

10.18805/ajdfr.dr-1712 ◽

2021 ◽

Author(s):

R. Senthil Kumar ◽

B.S. Meena ◽

Ritu Chakravarty ◽

K.S. Kadian ◽

P. Mooventhan

Keyword(s):

Climate Change ◽

Crop Production ◽

Environmental Changes ◽

Biological Indicators ◽

Healthcare Management ◽

Economic Indicators ◽

Logit Analysis ◽

Dairy Farmers ◽

Adaptation Practices ◽

Semi Arid

Background: The present research study was undertaken to study the dairy farmer’s perception and adaptation practices against impending climate change in the arid and semi-arid climate regions of Haryana. Methods: The study area Hisar and Karnal Districts had been purposively selected based on rainfall pattern and milk production potential in the state. In this study, interview schedule had been constructed to reveal the dairy farmers perception and adaptation practices against climate change were studied through Environmental, biological and socio-economic indicators. Result: It was found that, last 10 years majority of the farmers perceived significant increase in environmental changes, biological indicators and socio-economic indicators in their dairy farming practices respectively. Due to these perceived changes, the logit analysis had been applied to assess their adaptation practices in the breeding, feeding, healthcare, management and crop production aspects of the various significant levels.

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REVIEWS ON THE SOCIO-ECONOMIC INDICATORS FOR SPATIAL URBAN SCALE

PLANNING MALAYSIA JOURNAL ◽

10.21837/pmjournal.v15.i4.324 ◽

2017 ◽

Vol 15 (4) ◽

Author(s):

Ilyani Ibrahim ◽

Azizan Abu Samah ◽

M. Zainora Asmawi

Keyword(s):

Climate Change ◽

Content Analysis ◽

Regional Scale ◽

Economic Indicators ◽

Future Research ◽

Human Interference ◽

Economic Framework ◽

Spatial Coverage ◽

Socio Economic Variables ◽

Selection Of

In recent decades, socio-economic variables have been widely used to investigate regional scale particularly in climate change studies. This paper aims to review appropriate socio-economic indicators for studies related to environment and climate at the level of spatial urban scale. It has been a challenge to select appropriate indicators because the interrelationship between human interference and the environment has proved difficult to be understood. The method used for the review is content analysis. The finding proposes the future research to choose suitable socio-economic indicators by referring to the scale of study and the spatial coverage of the topic. This article also provides a socio-economic framework to ensure that the appropriate of urban scale is the key aspect for selection of indicators in environmental and climate related studies.

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Averting robo-bees: why free-flying robotic bees are a bad idea

Emerging Topics in Life Sciences ◽

10.1042/etls20190063 ◽

2019 ◽

Vol 3 (6) ◽

pp. 723-729

Author(s):

Roslyn Gleadow ◽

Jim Hanan ◽

Alan Dorin

Keyword(s):

Climate Change ◽

Computer Simulation ◽

Food Security ◽

European Countries ◽

Plant Interactions ◽

Plant Insect Interactions ◽

Native Habitat ◽

Insect Pollinators ◽

Insect Interactions

Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduction of agricultural monocultures, and the destruction of insect native habitat, are all potential contributors to this grave situation. Some researchers are working towards a future where natural insect pollinators might be replaced with free-flying robotic bees, an ecologically problematic proposal. We argue instead that creating environments that are friendly to bees and exploring the use of other species for pollination and bio-control, particularly in non-European countries, are more ecologically sound approaches. The computer simulation of insect-plant interactions is a far more measured application of technology that may assist in managing, or averting, ‘Insect Armageddon' from both practical and ethical viewpoints.

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Modelling ecosystem adaptation and dangerous rates of global warming

Emerging Topics in Life Sciences ◽

10.1042/etls20180113 ◽

2019 ◽

Vol 3 (2) ◽

pp. 221-231 ◽

Cited By ~ 4

Author(s):

Rebecca Millington ◽

Peter M. Cox ◽

Jonathan R. Moore ◽

Gabriel Yvon-Durocher

Keyword(s):

Climate Change ◽

Global Warming ◽

Diffusion Rate ◽

Individual Species ◽

Genetic Evolution ◽

Rates Of Change ◽

Rapid Climate Change ◽

Warming Climate ◽

Intraspecies Competition ◽

High Trait

Abstract We are in a period of relatively rapid climate change. This poses challenges for individual species and threatens the ecosystem services that humanity relies upon. Temperature is a key stressor. In a warming climate, individual organisms may be able to shift their thermal optima through phenotypic plasticity. However, such plasticity is unlikely to be sufficient over the coming centuries. Resilience to warming will also depend on how fast the distribution of traits that define a species can adapt through other methods, in particular through redistribution of the abundance of variants within the population and through genetic evolution. In this paper, we use a simple theoretical ‘trait diffusion’ model to explore how the resilience of a given species to climate change depends on the initial trait diversity (biodiversity), the trait diffusion rate (mutation rate), and the lifetime of the organism. We estimate theoretical dangerous rates of continuous global warming that would exceed the ability of a species to adapt through trait diffusion, and therefore lead to a collapse in the overall productivity of the species. As the rate of adaptation through intraspecies competition and genetic evolution decreases with species lifetime, we find critical rates of change that also depend fundamentally on lifetime. Dangerous rates of warming vary from 1°C per lifetime (at low trait diffusion rate) to 8°C per lifetime (at high trait diffusion rate). We conclude that rapid climate change is liable to favour short-lived organisms (e.g. microbes) rather than longer-lived organisms (e.g. trees).

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