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Institution

International Institute for Applied Systems Analysis

NonprofitLaxenburg, Austria
About: International Institute for Applied Systems Analysis is a nonprofit organization based out in Laxenburg, Austria. It is known for research contribution in the topics: Population & Greenhouse gas. The organization has 1369 authors who have published 5075 publications receiving 280467 citations. The organization is also known as: IIASA.


Papers
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Journal ArticleDOI
01 Aug 1999-Energy
TL;DR: In this article, a new model for projecting regional and world travel, which is used to develop a scenario for carbon emissions from passenger transport, is presented, and it is shown that without some action to accelerate an improvement in energy efficiency starting in the next decade, the goal of stabilization is a technically impossible task, unless zero-carbon technologies become available.

135 citations

Journal ArticleDOI
TL;DR: In this article, the regularized decomposition algorithm for two stage stochastic problems is improved by using a primal simplex method for solving subproblems, which facilitates crash and warm starts, and allows more freedom when creating the model.

135 citations

Journal ArticleDOI
TL;DR: The role of land in economic theory is surveyed in this paper, both from a conceptual and historical perspective, and it has been incorporated in economic theories in various ways, e.g., land used by agriculture was the main motivation for an economic treatment of land.

135 citations

Journal ArticleDOI
28 Nov 2014-Science
TL;DR: This new study suggests that it may be efficient and effective to give part of this fund to educators rather than engineers to enhance societies' adaptive capacity vis-à-vis future climate change.
Abstract: Over the coming years, enormous amounts of money will likely be spent on adaptation to climate change. The international community recently made pledges of up to $100 billion per year by 2020 for the Green Climate Fund. Judging from such climate finance to date, funding for large projects overwhelmingly goes to engineers to build seawalls, dams, or irrigation systems (1). But with specific projections of future changes in climate in specific locations still highly uncertain, such heavy concrete (in both meanings) and immobile investments that can lock countries into certain paths may not be the best way to go (2). Our new study suggests that it may be efficient and effective to give part of this fund to educators rather than engineers. Public investment in universal education in poor countries in the near future should be seen as a top priority for enhancing societies' adaptive capacity vis-a-vis future climate change.

135 citations

Journal ArticleDOI
TL;DR: The evolutionary impact assessment (EvoIA) is described as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options.
Abstract: Managing fisheries resources to maintain healthy ecosystems is one of the main goals of the ecosystem approach to fisheries (EAF). While a number of international treaties call for the implementation of EAF, there are still gaps in the underlying methodology. One aspect that has received substantial scientific attention recently is fisheries-induced evolution (FIE). Increasing evidence indicates that intensive fishing has the potential to exert strong directional selection on life-history traits, behaviour, physiology, and morphology of exploited fish. Of particular concern is that reversing evolutionary responses to fishing can be much more difficult than reversing demographic or phenotypically plastic responses. Furthermore, like climate change, multiple agents cause FIE, with effects accumulating over time. Consequently, FIE may alter the utility derived from fish stocks, which in turn can modify the monetary value living aquatic resources provide to society. Quantifying and predicting the evolutionary effects of fishing is therefore important for both ecological and economic reasons. An important reason this is not happening is the lack of an appropriate assessment framework. We therefore describe the evolutionary impact assessment (EvoIA) as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options. EvoIA can contribute to EAF by clarifying how evolution may alter stock properties and ecological relations, support the precautionary approach to fisheries management by addressing a previously overlooked source of uncertainty and risk, and thus contribute to sustainable fisheries.

134 citations


Authors

Showing all 1418 results

NameH-indexPapersCitations
Martin A. Nowak14859194394
Paul J. Crutzen13046180651
Andreas Richter11076948262
David G. Streets10636442154
Drew Shindell10234049481
Wei Liu102292765228
Jean-Francois Lamarque10038555326
Frank Dentener9722058666
James W. Vaupel8943434286
Keywan Riahi8731858030
Larry W. Horowitz8525328706
Robert J. Scholes8425337019
Mark A. Sutton8342330716
Brian Walsh8223329589
Börje Johansson8287130985
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
202263
2021414
2020406
2019383
2018325