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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
TL;DR: In this paper, the authors analyzed the cost-effective electrification solution for Kenya comparing grid extension with stand-alone photovoltaic (PV) systems and found that up to 17% of the population can be reached by off-grid PV systems till 2020.

82 citations

Journal ArticleDOI
TL;DR: Due to conceptual advances based on the theory of adaptive dynamics, adaptive speciation has emerged as a theoretically plausible evolutionary process that can occur in many different ecological settings.
Abstract: A recent Perspectives article by Gavrilets (2003) on the theory of speciation ignored advances in understanding processes of adaptive speciation, in which the splitting of lineages is an adaptation caused by frequency-dependent selection. Adaptive, or sympatric, speciation has been modeled since the 1960s, but the large amount of attention from both empirical and theoretical biologists that adaptive speciation has received in recent years goes far beyond what was described in Gavrilets' paper. Due to conceptual advances based on the theory of adaptive dynamics, adaptive speciation has emerged as a theoretically plausible evolutionary process that can occur in many different ecological settings.

81 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine how cross-scale interactions influence the implementation of climate adaptation and mitigation actions in different urban sectors, showing that jurisdictional and institutional scales shape the implementation and mitigation strategies, projects and tasks at the management scale.
Abstract: By using a scale framework, we examine how cross-scale interactions influence the implementation of climate adaptation and mitigation actions in different urban sectors. Based on stakeholder interviews and content analysis of strategies and projects relevant to climate adaptation and mitigation in the cities of Copenhagen and Helsinki, we present empirical examples of synergies, conflicts and trade-offs between adaptation and mitigation that are driven by the cross-scale interactions. These examples show that jurisdictional and institutional scales shape the implementation of adaptation and mitigation strategies, projects and tasks at the management scale, creating benefits of integrated solutions, but also challenges. Investigating the linkages between adaptation and mitigation through a scale framework provides new knowledge for urban climate change planning and decision-making. The results increase the understanding of why adaptation and mitigation are sometimes handled as two separate policy areas and also why attempts to integrate the two policies may fail.

81 citations

Journal ArticleDOI
TL;DR: The aim of this paper is the study of the long-term behavior of population communities described by piecewise smooth models (known as Filippov systems) by proposing a relatively simple method, called the puzzle method, to construct the complete bifurcation diagram step-by-step.

81 citations

Journal ArticleDOI
01 Feb 2008-Ecology
TL;DR: The top-down mechanism explains the frequently observed inverse linear relationship between body mass and abundance in terms of a balancing of resource biomasses by behaviorally and evolutionarily adapting foragers, and the evolutionary response of resources to this foraging pressure.
Abstract: Scaling relationships between mean body masses and abundances of species in multitrophic communities continue to be a subject of intense research and debate. The top- down mechanism explored in this paper explains the frequently observed inverse linear relationship between body mass and abundance (i.e., constant biomass) in terms of a balancing of resource biomasses by behaviorally and evolutionarily adapting foragers, and the evolutionary response of resources to this foraging pressure. The mechanism is tested using an allometric, multitrophic community model with a complex food web structure. It is a statistical model describing the evolutionary and population dynamics of tens to hundreds of species in a uniform way. Particularities of the model are the detailed representation of the evolution and interaction of trophic traits to reproduce topological food web patterns, prey switching behavior modeled after experimental observations, and the evolutionary adaptation of attack rates. Model structure and design are discussed. For model states comparable to natural communities, we find that (1) the body-mass- abundance scaling does not depend on the allometric scaling exponent of physiological rates in the form expected from the energetic equivalence rule or other bottom-up theories; (2) the scaling exponent of abundance as a function of body mass is approximately � 1, independent of the allometric exponent for physiological rates assumed; (3) removal of top-down control destroys this pattern, and energetic equivalence is recovered. We conclude that the top-down mechanism is active in the model, and that it is a viable alternative to bottom-up mechanisms for controlling body-mass-abundance relations in natural communities.

81 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