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The world agreed to achieve 17 Sustainable Development Goals by 2030. Nine planetary boundaries set an upper limit to Earth system impacts of human activity in the long run. Conventional efforts to achieve the 14 socio-economic goals will raise pressure on planetary boundaries, moving the world away
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from the three environmental SDGs. We have created a simple model, Earth3, to measure how much environmental damage follows from achievement of the 14 socio-economic goals, and we propose an index to track effects on people’s wellbeing. Extraordinary efforts will be needed to achieve all SDGs within planetary boundaries.
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Expertise on #24 – Climate & Biodiversity - Expertise France
Arabic Analysis on World about Agriculture, Climate Change and Environment, Drought, Flood and more; published on 09 Dec 2021 by FAO
Research Report
Reusing a legacy interactive audio instruction (IAI) program to provide education in a humanitarian crisis is a quick solution and a smart use of previous investments (“Learning in the Time of Ebola”). This article highlights and advises on the issues that relate to adapting and updating previou
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sly developed IAI programs, including how to orient current audiences to listen and learn in new ways.
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Published: November 24, 2020 https://doi.org/10.1371/journal.pbio.3000938
Climate change is expected to have complex effects on infectious diseases, causing some to increase, others to decrease, and many to shift their distributions. There have been several important advances in understanding the
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role of climate and climate change on wildlife and human infectious disease dynamics over the past several years. This essay examines 3 major areas of advancement, which include improvements to mechanistic disease models, investigations into the importance of climate variability to disease dynamics, and understanding the consequences of thermal mismatches between host and parasites. Applying the new information derived from these advances to climate–disease models and addressing the pressing knowledge gaps that we identify should improve the capacity to predict how climate change will affect disease risk for both wildlife and humans.
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