Steady-state thermodynamics for population growth in fluctuating environments

2017 ◽  
Vol 95 (1) ◽  
Author(s):  
Yuki Sughiyama ◽  
Tetsuya J. Kobayashi
2022 ◽  
Vol 2022 (1) ◽  
pp. 013501
Author(s):  
Hideyuki Miyahara

Abstract Steady-state thermodynamics (SST) is a relatively newly emerging subfield of physics, which deals with transitions between steady states. In this paper, we find an SST-like structure in population dynamics of organisms that can sense their fluctuating environments. As heat is divided into two parts in SST, we decompose population growth into two parts: housekeeping growth and excess growth. Then, we derive the Clausius equality and inequality for excess growth. Using numerical simulations, we demonstrate how the Clausius inequality behaves depending on the magnitude of noise and strategies that organisms employ. Finally, we discuss the novelty of our findings and compare them with a previous study.


2014 ◽  
Vol 18 (5) ◽  
Author(s):  
Tiago Neves Sequeira ◽  
Alexandra Ferreira-Lopes ◽  
Orlando Gomes

AbstractThis article analyses the stability properties of the steady-state and the transitional dynamics of an endogenous growth model with human capital, increasing-varieties R&D, and quality-ladders R&D [Strulik, H. 2005. “The Role of Human Capital and Population Growth in R&D-Based Models of Economic Growth.”


2016 ◽  
Vol 38 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Patricia Vieira

Both economic and population growth are commonly understood as an indefinite, quantitative increase that is both necessary and desirable for human well-being. In contrast, proponents of a steady state economy and of the de-growth movement have advocated for an end to the dominant ideology of growth as a way to tackle environmental problems, but have eschewed a deeper questioning of the meaning of growing. In the final section of the article, I put forth an alternative, qualitative notion of human growth that embraces both our unfolding as a species and a conscious acceptance of our finitude and limits.


Author(s):  
Nicole Salvatori ◽  
Fabrizio Carteni ◽  
Francesco Giannino ◽  
Giorgio Alberti ◽  
Stefano Mazzoleni ◽  
...  

It has been recognized the need to consider some photosynthetic processes in their transient states since those are more representative of the natural environment. The combination of mathematical models with the available data provides a tool to understand the dynamic responses of plants to fluctuating environments and can be used to make predictions on how photosynthesis would respond to unsteady state conditions. Here we present a leaf level system dynamic photosynthetic model based and validated on an experiment performed on two soybean varieties, the wildtype Eiko and the chlorophyll deficient mutant Minngold, grown in constant and fluctuating light conditions. This mutant is known to have similar steady-state photosynthesis compared to the green wildtype, but it is found to have less biomass at harvest. It has been hypothesized that this might be due to an unoptimized response to non-steady state conditions, therefore this mutant seems relevant to investigate dynamic photosynthesis. The model explained well the photosynthetic responses of these two varieties to fluctuating and constant light conditions and allowed to make relevant conclusions on the different dynamic responses of the two varieties. Furthermore, due to its simplicity, the model could provide the basis of an upscaled dynamic model at plant level.


Author(s):  
C. Y. Cyrus Chu

The Malthusian theory hypothesizes that the natural environment imposes various capacity constraints on human population growth and that population size has been and will be checked by these constraints. In such a classical theory, which was presumably motivated by observations of the ancient world, population might be the most important dynamic variable, although its role is rather passive: population is a variable that would be affected by, but would not affect, the environment. Boserup (1981), however, sees the role of population in the development of human economy as more consequential. She gave many persuasive examples that showed that, at least for the period up to the mid-twentieth century, population size might be a variable which actively spurred technological progress. This is also the viewpoint held by Lee (1986) and Pryor and Maurer (1982). After the Industrial Revolution, the role of population in economic dynamics, along with the reduction of mortality fluctuations and the increasing control of female fertility, evidently became secondary. The key variable that dominates the analysis of economic dynamics in the neoclassical growth theory along the lines of Solow (1956) is capital (or per capita capital). In Solow’s growth model, the role of population is minimal in the steady state: neither the level nor the growth rate of the steady-state per capita consumption has anything to do with the size of a population; only the steady-state per capita income level will be affected by the population growth rate. The growth pattern in the latter half of the twentieth century is markedly different. A key feature of our recent growth experience is the rapid innovation of new technologies. Modern growth theory has embraced the concept of increasing returns to explain such a unique growth pattern. However, various versions of the theory of increasing returns turn out to be necessarily linked to population. The hypothesis of learning by doing implies that growth in productivity is an increasing function of aggregate production, which is itself positively related to the size of population.


2019 ◽  
Vol 85 (1) ◽  
pp. 43-70
Author(s):  
Akira Momota ◽  
Tomoya Sakagami ◽  
Akihisa Shibata

AbstractThis paper reexamines the Serendipity Theorem of Samuelson (1975) from the stability viewpoint, and shows that, for the Cobb–Douglas preference and CES technology, the most-golden golden-rule lifetime state being stable depends on parameter values. In some situations, the Serendipity Theorem fails to hold despite the fact that steady-state welfare is maximized at the population growth rate, since the steady state is unstable. Through numerical simulations, a more general case of CES preference and CES technology is also examined, and we discuss the realistic relevance of our results. We present the policy implication of our result, that is, in some cases, the steady state with the highest utility is unstable, and thus a policy that aims to achieve the social optima by manipulating the population growth rate may lead to worse outcomes.


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