Ecological realism and mechanisms by which diversity begets stability

Oikos ◽  
2009 ◽  
Author(s):  
Tamara N. Romanuk ◽  
Richard J. Vogt ◽  
Jurek Kolasa
Keyword(s):  
1992 ◽  
Vol 37 (4) ◽  
pp. 287-289 ◽  
Author(s):  
Reuben M. Baron
Keyword(s):  

1984 ◽  
Vol 10 (8) ◽  
pp. 1281-1282 ◽  
Author(s):  
Brian A. Hazlett

2020 ◽  
Vol 12 (7) ◽  
pp. 2617 ◽  
Author(s):  
Toni Ruuska ◽  
Pasi Heikkurinen ◽  
Kristoffer Wilén

In this article, we study politics as domination. From our point of view, domination, especially in the Anthropocene, has had two vital components—power and supremacy. In order to dominate, one has to have power over others. In addition, the politics of domination, such as colonial oppression of Latin America, has required reasoning, justification, and legitimation, often connected to superiority (because of religion, society, or civilization) from the oppressor’s end. Past and present political ideologies and programs, such as colonialism, imperialism, but also welfare state capitalism, neoliberalism and increasingly popular Green New Deal are examples of what we call “anthropolitics”, an anthropocentric approach to politics based on domination, power, and supremacist exploitation. In contrast to the prevailing anthropolitics, this article discusses post-Anthropocene politics, characterized by localization and decentralization, as well as a steep reduction of matter–energy throughput by introducing a theoretical frame called ecological realism.


Palaeolimnological diatom data comprise counts of many species expressed as percentages for each sample. Reconstruction of past lake-water pH from such data involves two steps; (i) regression, where responses of modern diatom abundances to pH are modelled and (ii) calibration where the modelled responses are used to infer pH from diatom assemblages preserved in lake sediments. In view of the highly multivariate nature of diatom data, the strongly nonlinear response of diatoms to pH, and the abundance of zero values in the data, a compromise between ecological realism and computational feasability is essential. The two numerical approaches used are (i) the computationally demanding but formal statistical approach of maximum likelihood (m l) Gaussian logit regression and calibration and (ii) the computationally straightforward but heuristic approach of weighted averaging (w a ) regression and calibration. When the Surface Water Acidification Project (SWAP) modern training set of 178 lakes is reduced by data-screening to 167 lakes, w a gives superior results in terms of lowest root mean squared errors of prediction in cross-validation. Bootstrapping is also used to derive prediction errors, not only for the training set as a whole but also for individual pH reconstructions by WA for stratigraphic samples from Round Loch of Glenhead, southwest Scotland covering the last 10000 years. These reconstructions are evaluated in terms of lack-of-fit to pH and analogue measures and are interpreted in terms of rate of change by using bootstrapping of the reconstructed pH time-series.


2015 ◽  
Vol 40 (4) ◽  
pp. 349-352 ◽  
Author(s):  
JEFFREY A. HARVEY ◽  
MIRIAMA MALCICKA ◽  
JACINTHA ELLERS

2006 ◽  
Vol 69 (3) ◽  
pp. 263-281 ◽  
Author(s):  
Ulf Dieckmann ◽  
Johan A.J. Metz
Keyword(s):  

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