Institution
International Institute for Applied Systems Analysis
Nonprofit•Laxenburg, 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 published on a yearly basis
Papers
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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
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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
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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
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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
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IFREMER1, Swedish University of Agricultural Sciences2, Centre for Environment, Fisheries and Aquaculture Science3, International Institute for Applied Systems Analysis4, Stanford University5, Humboldt University of Berlin6, Leibniz Association7, University of Bergen8, Ontario Ministry of Natural Resources9, University of Oslo10, Gifu University11, University of Lausanne12, University of Bern13, Dartmouth College14, Agrocampus Ouest15, Sewanee: The University of the South16, University of Iceland17, Technical University of Denmark18, University of Turku19, Swedish Board of Fisheries20, University of Oulu21, Wageningen University and Research Centre22
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
Name | H-index | Papers | Citations |
---|---|---|---|
Martin A. Nowak | 148 | 591 | 94394 |
Paul J. Crutzen | 130 | 461 | 80651 |
Andreas Richter | 110 | 769 | 48262 |
David G. Streets | 106 | 364 | 42154 |
Drew Shindell | 102 | 340 | 49481 |
Wei Liu | 102 | 2927 | 65228 |
Jean-Francois Lamarque | 100 | 385 | 55326 |
Frank Dentener | 97 | 220 | 58666 |
James W. Vaupel | 89 | 434 | 34286 |
Keywan Riahi | 87 | 318 | 58030 |
Larry W. Horowitz | 85 | 253 | 28706 |
Robert J. Scholes | 84 | 253 | 37019 |
Mark A. Sutton | 83 | 423 | 30716 |
Brian Walsh | 82 | 233 | 29589 |
Börje Johansson | 82 | 871 | 30985 |