Eric Post
- Published in print:
- 2005
- Published Online:
- September 2007
- ISBN:
- 9780198507499
- eISBN:
- 9780191709845
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198507499.003.0015
- Subject:
- Biology, Aquatic Biology
Temporal lags in the response of populations to climatic variation associated with the NAO are widespread in both terrestrial and marine environments. The existence of both immediate and lagged ...
More
Temporal lags in the response of populations to climatic variation associated with the NAO are widespread in both terrestrial and marine environments. The existence of both immediate and lagged responses to climate presents conceptual and analytical challenges to the study of the ecological consequences of large-scale climatic variability, as well as to the ability to forecast population responses to future climatic change. This chapter discusses the influence of atmospheric processes, life history, and trophic interactions on time lags. It argues that the existence of time lags in a multitude of systems can be exploited to one obvious advantage: prediction. Hence, an empirically-derived basis for improving conceptual and analytical understanding of lagged responses to climate should prove valuable in the pursuit of scientifically robust predictions of population and community response to future climate changes.Less
Temporal lags in the response of populations to climatic variation associated with the NAO are widespread in both terrestrial and marine environments. The existence of both immediate and lagged responses to climate presents conceptual and analytical challenges to the study of the ecological consequences of large-scale climatic variability, as well as to the ability to forecast population responses to future climatic change. This chapter discusses the influence of atmospheric processes, life history, and trophic interactions on time lags. It argues that the existence of time lags in a multitude of systems can be exploited to one obvious advantage: prediction. Hence, an empirically-derived basis for improving conceptual and analytical understanding of lagged responses to climate should prove valuable in the pursuit of scientifically robust predictions of population and community response to future climate changes.
Eglė Rindzevičiūtė
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9781501703188
- eISBN:
- 9781501706257
- Item type:
- chapter
- Publisher:
- Cornell University Press
- DOI:
- 10.7591/cornell/9781501703188.003.0008
- Subject:
- Political Science, Russian Politics
This chapter details the development of the regional air pollution information and simulation model (RAINS) in 1984, a project which has been retrospectively described as one of the highest ...
More
This chapter details the development of the regional air pollution information and simulation model (RAINS) in 1984, a project which has been retrospectively described as one of the highest achievements of IIASA, substantiating East-West collaboration beyond scientific diplomacy. RAINS consisted of three blocs: pollution generation, atmospheric processes, and environmental impact, with further submodels to investigate emissions, long-range transport, and acidification. The model was interactive: a policy maker could select a particular national pathway of energy use, a strategy of pollution control, and environmental impact indicators. On the basis of this information, the computer model simulated the interaction of these three systems, enabling the user to examine the consequences of different alternatives to control acidification.Less
This chapter details the development of the regional air pollution information and simulation model (RAINS) in 1984, a project which has been retrospectively described as one of the highest achievements of IIASA, substantiating East-West collaboration beyond scientific diplomacy. RAINS consisted of three blocs: pollution generation, atmospheric processes, and environmental impact, with further submodels to investigate emissions, long-range transport, and acidification. The model was interactive: a policy maker could select a particular national pathway of energy use, a strategy of pollution control, and environmental impact indicators. On the basis of this information, the computer model simulated the interaction of these three systems, enabling the user to examine the consequences of different alternatives to control acidification.