DocumentCode
2091018
Title
Advancing our biological and ecological predictive capabilities
Author
Smith, J.A. ; Wickland, D.E. ; Crawford, M.K. ; Cihlar, J. ; Schnase, J.L.
Author_Institution
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
154
Abstract
Policy makers, resource managers, and decision makers in the public and private sectors increasingly call for more and better predictions of future environmental conditions and of the impacts that environmental and societal change may have on ecosystems and the ecological goods and services that people depend upon. By 2025, a suite of powerful new remote sensing, analytical, and computational tools and capabilities will be in place. These tools will be used to assess the health and functioning of global ecosystems and to predict the effects of natural and anthropogenic change, such as extreme natural events, climate change, changes in land use, pollution, species invasions, and pest and disease outbreaks. The resulting ecological forecasts will incorporate the interactive effects of multiple biotic and abiotic stressors as well as socioeconomic factors
Keywords
ecology; monitoring; remote sensing; abiotic stressors; analytical tools; anthropogenic change; biological predictive capabilities; biotic stressors; climate change; computational tools; disease outbreaks; ecological forecasts; ecological predictive capabilities; environmental change; environmental conditions; extreme natural events; interactive effects; land use; pest outbreaks; pollution; remote sensing; societal change; socioeconomic factors; species invasions; Biological information theory; Biological system modeling; Ecosystems; Environmental management; NASA; Oceans; Predictive models; Remote sensing; Technology management; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.976087
Filename
976087
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