Social media is a transformative digital technology, collapsing the "six degrees of separation" which have previously characterised many social networks, and breaking down many of the barriers to individuals communicating with each other. Some commentators suggest that this is having profound effects across society, that social media has revolutionised the communication of controversial public issues such as climate change, and that this has significantly increased the volume and variety of scientists, politicians, journalists, non-governmental organisations, think tanks and members of the public in contact with each other. Tweets were collected in response to the airing of the BBC programme "Climate Change: The Facts", broadcast on April 18th, 2019. https://www.imdb.com/title/tt10095266/ https://www.bbc.co.uk/iplayer/episode/m00049b1/climate-change-the-facts The data deposited is a list of 87,177 tweet IDs, which can be used to retrieve tweets.

African countries showed low resilience to climate change, according to the source's index. All assessed nations in Africa scored below 40 out of 100 points, classifying them as lower resilient countries. The Climate Resilience Index evaluated 180 nations worldwide, taking into account GDP as well as readiness and vulnerability to climate change. In Africa, Mauritius ranked as the most resilient country to climate change (56th worldwide). On the other hand, Chad was the least resilient, both in the African continent and globally.

The latest National Statistics on forestry produced by the Forestry Commission were released on 28 September 2017 according to the arrangements approved by the UK Statistics Authority. Detailed statistics are published in the web publication Forestry Statistics 2017, with an extract in Forestry Facts & Figures 2017. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland. This dataset covers statistics on carbon in forests, the Woodland Carbon Code and public attitudes to climate change.

Introduction

Climate-Smart Agriculture Statistics: Climate-Smart Agriculture (CSA) is certainly a new practice in agriculture, addressing the current challenges of climate change and population increase demand in food supply. These are the three main objectives: sustainably increasing productivity in agriculture, adapting and building resilience to climate change, and reducing or removing greenhouse gas emissions.

It's 2024, and many countries and organisations are scaling up CSA principles as a global framework. This article presents the latest Climate-Smart agriculture statistics, trends, and economic impacts for 2024.

Agricultural activities received roughly one-third of climate adaptation finance dedicated to Africa between 2010 and 2019. Water supply and sanitation followed as the second sector to receive most of the financial flow, with a 20 percent share of the total amount for adaptation actions addressing climate change on the continent. Overall, Africa has been the second-highest beneficiary of climate finance flows worldwide, just behind Asia.

Communicating the "97%"’ scientific consensus has been the centerpiece of the effort to persuade climate skeptics. Still, this strategy may not work well for those who mistrust climate scientists, to begin with. We examine how the American public---Republicans in particular---respond when provided with a relatively detailed causal explanation summarizing why scientists have concluded that human activities are responsible for climate change. Based on a preregistered survey experiment (N = 3007) we assessed the effectiveness of detailed causal evidence vs. traditional consensus messaging. We found that both treatments had noticeable effects on belief in human-caused climate change, with the causal evidence being slightly more effective, though we did not observe equivalent patterns in changes in attitudes toward climate policies. We conclude that conveying scientific information serves more as a remedy than a cure, reducing but not eliminating misperceptions about climate change and opposition to climate policies.

The objective of this work includes the coastal scenario, risks and development of coastal paleoclimatology through landscape mapping; by highlighting the devastating climate change impacts that might result in tsunami in South-East Asian sea basin with short or no-awareness period; despite the facts that the Southeast Asia region is generally poor being encompassed by twelve countries along with the Indian and Pacific Oceans. Special payable concern to the Bay of Bengal has been paid that can dictate region’s climate to certain extent. The ecosystems’ impact due to climate change and global warming -can bring direct variables and affects in –salinity, temperature, river flow, runoff, soil characteristics, erosion, nutrition level and water quality. The landscape mapping can address the system infrastructure requirements to the SEAR’s sea basin attainable by the annual monsoons, the Southwest and the Northeast Monsoons. How recent meteorological and geodynamic-genetic events can result in adverse economical damages and significant losses of lives are also drawn. This work monitors on Sea-level rise gets projected under global warming. The most brainstorming findings from climate change issues are how the high latitudes for SEAR Sea Basins’ are likely to experience greater warming than the global mean and warming,- And how the hydrological cycle gets found responsible for bringing more floods and more droughts in- causing huge devastating changes for environmental factors in coastal zones

The latest National Statistics on forestry produced by the Forestry Commission were released on 22 September 2016 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2016, with an extract in Forestry Facts & Figures 2016. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on carbon in forests, the Woodland Carbon Code and public attitudes to climate change.

Climate change poses an unprecedented level of threat to life on the planet. In addition, predictions about the scale and speed of impact are continually being revised upwards, so that what was already a serious situation continues to look even more threatening. The facts are well known. Atmospheric greenhouse gases are creating warmer temperatures, ice melt, sea-level rise and an unpredictable climate, with a range of extremely serious and hard-to-predict consequences. Recent research shows an increasingly bleak picture. During the period of writing this report new information suggests that: we may already be too late to prevent widespread collapse of coral reef systems due to ocean acidification; climate change adaptation will cost US$75-100 billion a year from 2010 onwards for developing countries according to the World Bank; and climate change may move faster than expected with average temperatures rising 4ºC by 2060 compared to pre-industrial levels according to the UK Meteorological Office. But serious as the situation has now become, much can still be done to reduce the problems created by climate change. This report focuses on the role that protected areas can play in mitigating and adapting to climate change; a set of options that hitherto has been under-represented in global response strategies. In the rush for “new” solutions to climate change, we are in danger of neglecting a proven alternative.Available onlineCall Number: [EL],551.6 STEISBN/ISSN: 978-2-88085-308-2Physical Description: 130 p.

This dataset, collected from Duke Forest Free Air CO2 Enrichment (FACE) – Forest-Atmosphere Carbon Transfer and Storage (FACTS-I) experiment, includes variables describing the meteorological conditions above canopy, within canopy, and soil depending on the variable. The Duke FACE experiment was located in a loblolly pine (Pinus taeda L.) plantation established in 1983. Naturally regenerated broadleaved species including sweetgum (Liquidambar styraciflua L.) and tulip poplar (Liriodendron tulipifera L.), mostly in the overstory, and winged elm (Ulmus alata Michx.) and red maple (Acer rubrum L.) were common in the understory. The FACE experiment commenced with two plots (plots 7-8) in 1994 (Oren et al. 2001), with six additional plots (plots 1-6) coming online on 27 August 1996. The CO2 enrichment was terminated on 31 October 2010 and post-enrichment data collection continued through 2012. Complete fertilization was applied annually to half of plots 7-8 from 1998 to 2004. The nutrient addition experiment expanded to half of plot 1-6 with a common protocol of N-fertilization in 2005. N-fertilization continued until 2012. The data range varied by sensor availability. A summary of information about variable name and data range can be found in the ‘FileDescription_[variable_name].txt’ files.

In the first quarter of 2022, roughly one half of the surveyed Russians were ready to purchase products in recycled packages and avoid buying goods in excess packaging. Furthermore, about 45 percent of the survey respondents considered buying an electric car to reduce the environment pollution.

This Research Unit (RU) addresses the growing public health concern of accelerated disease burden as a consequence of climate change. So far, there have been very limited concerted efforts by public health scientists, climate change researchers, and social scientists to quantify the climate change impacts on human health, and to design appropriate adaptation strategies. This is particularly true for vulnerable populations in sub-Saharan Africa, despite the facts that rural populations in Africa are strongly affected by climate change and exhibit the lowest adaptive capacity. Indeed, this sub-continent faces an unfinished agenda of combating undernutrition and infectious diseases with all the negative societal and economic consequences. At the same time, non-communicable conditions have been rapidly emerging in sub-Saharan Africa over the past decades, and their management now competes with the limited resources of the local health systems. To date, the additional impacts of climate change on three of these major health problems in the region, namely childhood undernutrition, malaria and cardio-vascular dysfunction have been insufficiently defined. Therefore, this RU aims at i) establishing the causal pathways from weather changes through hydrological, agricultural and economic factors to undernutrition, malaria and heat stress among defined rural populations in Burkina Faso and Kenya, ii) projecting future developments along these pathways, iii) quantifying the effectiveness, the socio-economic costs, and the changes in projections of promising climate-specific adaptation strategies, iv) upscaling the historic and projected scenarios from the local to the national level, and finally, v) identifying broader societal impacts related to long-term health consequences of climate change.

This project was funded by the German Research Foundation (DFG).

In 2023, India generated about 384.01 terawatt hours of electricity from renewable sources. That year, the renewable sources accounted for roughly 19.5 percent of India's electricity generation.

Description

This data set contains the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report. It contains the full set of samples for the global projections (under ar6.zip), as well as summary relative sea level projections (under ar6-regional-confidence.zip and, without the AR6 estimate of background sea level process rates, ar6-regional_novlm-confidence.zip). Most users will want to focus on the confidence_output_files, which correspond most directly to the figures and tables in the report. For the global projections, samples from the individual probability distributions described in AR6 WG1 9.6.3 are in the full_sample* directories.

Regional projections can also be accessed through the NASA/IPCC Sea Level Projections Tool at https://sealevel.nasa.gov/ipcc-ar6-sea-level-projection-tool.

See https://zenodo.org/communities/ipcc-ar6-sea-level-projections for additional related data sets.

Required Acknowledgements and Citation

In order to document the impact of these sea-level rise projections, users of the projections are obligated to cite chapter 9 of Working Group 1 contribution to the the IPCC Sixth Assessment Report, the Framework for Assessment of Changes To Sea-level (FACTS) model description paper, and the version of the data set used:

• Fox-Kemper, B., H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, R. E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, A. B. A. Slangen, Y. Yu, 2021, Ocean, Cryosphere and Sea Level Change. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In press.
  
• Garner, G. G., R. E. Kopp, T. Hermans, A. B. A. Slangen, G. Koubbe, M. Turilli, S. Jha, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, in prep. Framework for Assessing Changes To Sea-level (FACTS). Geoscientific Model Development.
  
• Garner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Sea Level Projections. Version 20210809. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5281/zenodo.5914709.

Please also include in the acknowledgements of works citing these projections:

We thank the projection authors for developing and making the sea-level rise projections available, multiple funding agencies for supporting the development of the projections, and the NASA Sea Level Change Team for developing and hosting the IPCC AR6 Sea Level Projection Tool.

IPCC AR6 Licensing

The IPCC AR6 Sea-Level Rise Projections are licensed by the authors under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.

This dataset describing the responses of plant and soil pools and fluxes to elevated atmospheric CO2 concentration and increased nitrogen supply was collected from Duke Forest Free Air CO2 Enrichment (FACE) – Forest-Atmosphere Carbon Transfer and Storage (FACTS-I) experiment from 1996 to 2012. The dataset includes data files for allometry (diameter at breast height, tree height, and height to live crown base), leaf area index, biomass (stem, branch, foliage, and root biomass, tree density, and basal area), net primary productivity (stem, branch, foliage, reproductive, and coarse root NPP), sap flux density, soil CO2 efflux, and stem temperature. Data files were formatted as .csv (Microsoft Excel or other spreadsheet programs can be used to read the format) and file descriptions, including variable name, unit, and data range, can be found in ‘FileDescription_[data_name].txt’ files. The Duke FACE experiment was in a loblolly pine (Pinus taeda L.) plantation established in 1983. Naturally regenerated broadleaved species including sweetgum (Liquidambar styraciflua L.) and tulip poplar (Liriodendron tulipifera L.), mostly in the overstory, and winged elm (Ulmus alata Michx.) and red maple (Acer rubrum L.) were common in the understory. The FACE experiment commenced with two plots (plots 7-8) in 1994 (Oren et al. 2001), with six additional plots (plots 1-6) coming online on 27 August 1996. CO2 enrichment was terminated on 31 October 2010 and post-enrichment data collection continued through 2012. Complete fertilization was applied annually to half of plots 7-8 from 1998 to 2004. The nutrient addition experiment expanded to half of plots 1-6 with a common protocol of N-fertilization in 2005 and continued until 2012. The levels of treatment in this dataset were expressed as ambient CO2 (AMB) or elevated CO2 (ELE) for CO2 treatment and control soil (CONT) or fertilized soil (FERT) for N treatment, respectively.

The latest National Statistics on forestry produced by the Forestry Commission were released on 27 September 2018 according to the arrangements approved by the UK Statistics Authority. This dataset provides summary UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland. More detailed statistics are published in the web publication Forestry Statistics 2018.

The latest National Statistics on forestry produced by the Forestry Commission were released on 24 September 2020 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2020 with an extract in Forestry Facts & Figures 2020. They include UK statistics on woodland area, planting, timber, trade, carbon, environment, social, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on carbon in forests, the Woodland Carbon Code and public attitudes to climate change. In previous editions of Forestry Statistics this chapter was titled 'UK Forests and Climate Change'.

Introduction

Food Waste Statistics: Food statistics offer valuable insights into the global production, consumption, distribution, and trade of food products. They cover a broad spectrum of data, including agricultural yields, food availability, nutritional consumption, price trends, and indicators of food security. Reliable and up-to-date food statistics are crucial for policymakers, industry stakeholders, and researchers to understand market trends, identify challenges in supply chains, and address issues such as hunger and malnutrition.

The significance of food statistics has increased notably in recent years, driven by factors such as the growing global population, evolving dietary habits, and the impact of climate change on agricultural output. These data points enable the monitoring of fluctuations in food demand and supply, the assessment of price instability, and the evaluation of policy impacts. Furthermore, food statistics underpin sustainable development initiatives by guiding efforts to improve food safety, minimize waste, and strengthen the resilience of global food systems.

The latest National Statistics on forestry produced by the Forestry Commission were released on 26 September 2019 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2019, with an extract in Forestry Facts & Figures 2019. They include UK statistics on woodland area, planting, timber, trade, carbon, environment, social, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on carbon in forests, the Woodland Carbon Code and public attitudes to climate change. In previous editions of Forestry Statistics this chapter was titled 'UK Forests and Climate Change'.

Russia's total energy capacity from renewable sources reached 57.06 gigawatts in 2024, having increased from the previous year. Renewable energy was forecast to occupy almost three percent of Russia's total final energy consumption in 2029.