The critical temperature beyond which photosynthetic machinery in tropical trees begins to fail averages approximately 46.7 °C (Tcrit)1. However, it remains unclear whether leaf temperatures experienced by tropical vegetation approach this threshold or soon will under climate change. Here we found that pantropical canopy temperatures independently triangulated from individual leaf thermocouples, pyrgeometers and remote sensing (ECOSTRESS) have midday peak temperatures of approximately 34 °C during dry periods, with a long high-temperature tail that can exceed 40 °C. Leaf thermocouple data from multiple sites across the tropics suggest that even within pixels of moderate temperatures, upper canopy leaves exceed Tcrit 0.01% of the time. Furthermore, upper canopy leaf warming experiments (+2, 3 and 4 °C in Brazil, Puerto Rico and Australia, respectively) increased leaf temperatures non-linearly, with peak leaf temperatures exceeding Tcrit 1.3% o
Some sectors are particularly resistant to data sharing. In the pharma sector, for example, companies are willing to share data as a means to distribute risks and comply with regulation, but wind energy does not face the same level of jeopardy. As a result, wind companies may refuse to engage in data sharing. At the same time, knowledge exchange and technology transfer in the wind energy sector can be particularly challenging due to its interdisciplinary nature.
KIGALI, Jul 20 (IPS) - Scientists have recently unveiled a first-ever weather forecasting model using artificial intelligence (AI) and machine learning solutions to help vulnerable African countries build resilience to climate impacts.
Africa: New Machine Learning-Based Model Boosting Africa s Preparedness and Response to Climate Change allafrica.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from allafrica.com Daily Mail and Mail on Sunday newspapers.