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New model for infectious disease could better predict future pandemics


New model for infectious disease could better predict future pandemics
New model for infectious disease could better predict future pandemics
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Increased human-animal interactions lead to the emergence and spread of zoonotic pathogens, which cause about 75% of infectious diseases affecting human health. In this photograph, wild zebras graze alongside a pastoralist and cows in Kenya. Credit: James Hassell/Smithsonian
In the midst of a devastating global pandemic of wildlife origin and with future spillovers imminent as humans continue to come into closer contact with wildlife, infectious-disease models that consider the full ecological and anthropological contexts of disease transmission are critical to the health of all life. Existing models are limited in their ability to predict disease emergence, since they rarely consider the dynamics of the hosts and ecosystems from which pandemics emerge. ....

James Hassell Smithsonian , Katrinam Pagenkopp Lohan , Jamesm Hassell , James Hassell , Yvonne Marie Linton , Smithsonian Forest , Walter Reed Army Institute Of Research , Smithsonian Environmental Research Center , Smithsonian National Zoological Park , Global Health Program , Nature Ecology , Keller Family Skorton Scholar , Smithsonian Conservation Biology Institute , Global Health , Walter Reed Biosystematics Unit , National Museum , Natural History , Walter Reed Army Institute , Smithsonian Environmental Research , ஜேம்ஸ் தொந்தரவு , ய்வாந் மேரி லிண்டன் , ஸ்மித்சோனியன் காடு , வால்டர் நாணல் இராணுவம் நிறுவனம் ஆஃப் ஆராய்ச்சி , ஸ்மித்சோனியன் சுற்றுச்சூழல் ஆராய்ச்சி மையம் , ஸ்மித்சோனியன் தேசிய ஸூலாஜிகல் பூங்கா , உலகளாவிய ஆரோக்கியம் ப்ரோக்ர்யாம் ,

Smithsonian scientists reduce uncertainty in forest carbon storage calculations


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IMAGE: Forest along Panama s Pacific coast. Not all tropical forests store the same amounts of carbon. The new Tansley review of carbon storage in many forests revealed that general predictions can.
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Credit: Steve Paton, STRI
Investors who bet on tropical forest conservation and reforestation to solve global warming by storing carbon in wood face huge uncertainties because the science behind predicting carbon stocks is still shaky. Even the best Earth Systems Models fail to predict how carbon stored by tropical forests varies from place to place. The
New Phytologist invites scientists doing the most-exciting, ground-breaking research to review timely topics in a way that non-scientists can understand. Helene Muller-Landau, staff scientist at the Smithsonian Tropical Research Institute (STRI) was chosen to write the authoritative Tansley Review of carbon accounting in the tropics. ....

United States , Bogumila Backiel , Egbert Leigh , Helene Muller Landau , Kristina Anderson Teixeira , Eva Arroyo , Smithsonian Forest , Smithsonian Tropical Research Institute , Environmental Research , Office Of Science , Princeton University , Columbia University , Us Department Of Energy , Earth Systems Models , New Phytologist , Tansley Review , Next Generation Ecosystem Experiments Tropics , Tropical Forest Ecology , Ecology Environment , Plant Sciences , Geology Soil , Climate Change , ஒன்றுபட்டது மாநிலங்களில் , எ.கா. லே , ஹெலன் முல்லர் ல்யாந்‌டா , கிறிஸ்டினா ஆண்டர்சன் டெக்ஸ்ர ,