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Wetlands provide numerous ecosystem services essential for biodiversity conservation, climate change mitigation, and human well-being. Nevertheless, there are still no complete and uniform wetland maps providing information on the location, distribution, size, and changing status of wetlands in Africa. In this study, we used 130,000 Landsat satellite images and 270,000 sampling points evenly distributed across Africa to classify wetlands with a random forest classifier based on the Google Earth Engine (GEE) cloud platform. This resulted in the first systematic and comprehensive map of existing wetlands in Africa that quantified the area and distribution of these wetlands at a spatial resolution of 30 m, with an overall wetland producer accuracy of 90.22 % and user accuracy of 95.74 %. To address the seasonal variation in African wetlands, we used a dynamic threshold segmentation method based on the Otsu method, which can extract the extent of wetlands under different periods more accurately based on Landsat time series and African phenology data. Our results show that the total African existing wetlands extent from 2019 to 2021 (here in 2020), was approximately 1,341,500 km2, excluding shallow marine waters, comprises 3.98 % of Africa's total land area. Of these wetlands, inland wetlands account for 81 %, and coastal wetlands account for 19 %. The wetlands in Africa were symmetrically distributed around the equator and decreased with increasing latitude, accounting for 97 % of the total wetland area being within the 20°N and 20°S latitudes. African marshes were highly dynamic, expanding by 92.22 % from the dry to wet season. Our study demonstrates the substantial potential of large data samples, multiple wetland classification features (spectral-temporal, topographic, and hydrological features), and random forest classification in GEE for large-scale wetland mapping. The resulting wetland maps provide new baseline data for large-scale monitoring of seasonal dynamics and long-term trends in African wetlands. [ABSTRACT FROM AUTHOR]

Efforts to avoid the acceleration of global warming have tended to focus on countries with high CO 2 emissions levels and large populations, with a high level of economic development or industrialization. African countries, which often do not conform to such criteria, are more vulnerable to climate change due to their dependence on climate-sensitive industries and their limited infrastructure and technological capacity to cope with its impacts. The long-term economic growth rates projected for Africa's rapid development period will, further, make Africa a potential emission hotspot in the near future. Here, for the first time, we built an energy-related emissions inventory for 19 African countries for 2010–2019, which addresses emissions from 47 economic sectors and 5 energy types, making it the most comprehensive of its kind. The degree of decoupling of economy and emissions, and drivers of CO 2 emission changes are also examined. Most African countries experienced rapid growth in CO 2 emissions, with an average annual growth rate of 5.5% for fossil fuel-related CO 2 emissions and 6.0% for unsustainable biomass-related CO 2 emissions. Only two countries, South Africa and Tanzania, have achieved a strong decoupling of economic growth from CO 2 emissions. Economic and population are the most important drivers of emissions, while energy intensity has been identified as a key factor in mitigating CO 2 emissions, especially for those countries that have reached strong or weak decoupling. The findings from this study provide essential insights that could guide the development of low-carbon policies and strategies in Africa. • We provide energy-related emission inventories for 19 African countries from 2010 to 2019. • African countries experienced rapid growth in CO2 emissions. • Two countries achieved strong decoupling of GDP from CO2 emissions. • Economic and population growth are the most important drivers of emissions. [ABSTRACT FROM AUTHOR]

The ongoing global warming is projected to persist throughout the entire century if effective mitigation measures are not put in place. The warming is associated with occurrence of extreme climate events that are prone over Africa. This study uses model data from 24 CMIP6 modeling centers to investigate future changes in extreme climate events over Africa under 1.5 °C, 2.0 °C and 3.0 °C global warming levels (GWLs). The amplified impact in extreme climate events by additional is computed relative to GWL1.5 °C. The models generally simulate observed climate extremes well, with the ensemble mean minimizing data uncertainties. The entire continent is projected to get warmer with the Sahara, Kalahari and parts of the Mediterranean depicting relatively higher temperatures. Both Rx1day and Rx5day are projected to increase over the continent except for the northern and southern regions of the continent. Rx5day is projected to increase by 4–10% for GWL1.5 and GWL3.0 °C. In comparison, an additional 0.5 °C warming between GWL2.0 °C and GWL1.5 °C will lead to an increase of about 43% impact for the climate extremes. An additional GWL1.5 °C (GWL3.0 °C) could result in about 68% increment in climate extremes. The amplified impact of global warming will result in devastating socioeconomic impacts over Africa. This stresses the need of formulating and implementing more ambitious climate change mitigation measures in effort to limit global warming to 1.5 °C. • Future changes in extreme climate are projected over Sahara, Kalahari and parts of the Mediterranean region. • Higher increase in Rx5day compared to Rx1day is projected for GWL1.5 – GWL3.0 °C. • Additional 0.5 °C (GWL1.5 °C) warming will lead to an increase of about 43% (68%) impact for the climate extremes. [ABSTRACT FROM AUTHOR]

Climate change poses economic, social, and environmental challenges to humanity. Through the Kyoto Protocol and Paris Agreement (PA), World leaders are obliged to identify climate solutions. In 2015, within the United Nations Framework Convention on Climate Challenge (UNFCCC), 197 countries negotiated the PA on climate change mitigation and adaptation. This study examines Africa's Nationally Determined Contributions (NDCs) pledges: 47 African countries provided such pledges in 2016, while 7 countries did not ratify the PA at the time. This study hereafter examines the PA treatment effect by designing a difference-in-differences technique between (2015) and (2018). The results reveal that 47 African countries that ratified the PA together have reduced carbon emissions intensity (CE) by about 80.76% of the pledge. The implication is that based on the NDCs' pledge to reduce emissions by 32% in 2030, African countries avoided emissions by approximately 26% by 2018. The study also analyses which policy measures assisted in CE reduction, showing renewable and clean energy. This suggests that African countries to the PA ratification have not over-ambitiously increased CE in their pursuit of economic growth and development. We further estimate carbon efficiency (CEE) as a total-factor analysis. It indicates that the 47 African countries' ratification of the PA has contributed to improving CEE. Thus, the economic productivity of the factor inputs relative to those which did not ratify at the time. The results suggest that the countries that ratified the PA have a carbon efficiency reduction potential of 23.47%, while those that declined have a wider gap of 77.77%. The inferred conclusions is that countries which declined the PA ratification or later withdrawal will increase emissions and hence leading to climate consequences. The authors propose insightful, targeted policies toward achieving efficient climate goals in Africa via integrated economic and environmental measures. • Africa is a committed actor in Paris Agreement toward emissions mitigation. • NDC pledges of African countries are presently consistent with emissions targets. • Quasi-experiment on climate change policy shows reduction in carbon emissions. • NDCs contribute to carbon emission reductions of African countries • NDCs provide opportunities for socioeconomic and environmental co-benefits. [ABSTRACT FROM AUTHOR]

Formally adopting climate change mitigation policies does not necessarily translate to tangible change on the ground. Here, we analyse 31 semi-structured interviews with climate policy government officials and consultants from 11 low-income and lower-middle income countries (LMICs) as well as the respective climate policy context, and find high average degrees of perceived discrepancies between formally adopted climate change mitigation policies and their actual implementation. Our results suggest that for our LMIC sample, both the global political process to limit climate change and domestic environmental threats have been key to drive the formal adoption of climate change mitigation policies, but have had limited effect on implementation. By contrast, momentum for implementation of climate change mitigation initiatives and projects on the ground emerges where climate policies are firmly embedded within economic and social development policies, the economy and society are comparably well-positioned to embrace the associated change, and where they have been governed by cross-ministerial institutions capable of implementing wider climate-compatible development pathways. Thus, to help translate climate policy into action, national LMIC governments and the international community need to find context-specific ways to successfully integrate climate with economic and social development policies, identify and build on feasible opportunities and competitive advantages through which the local economy can benefit from green growth, build adequate social capital, and actively create institutional spaces and processes for well-equipped and meaningful cross-ministerial co-benefit governance. The importance of unlocking co-benefits for implementing climate policies underlines both the urgency with which the international community needs to increase finance for LMICs for climate change mitigation, as well as the associated development opportunities. [ABSTRACT FROM AUTHOR]