Literature DB >> 29061888

Innovation and the growth of human population.

V P Weinberger1,2, C Quiñinao3,4, P A Marquet5,6,2,7,8,9.   

Abstract

Biodiversity is sustained by and is essential to the services that ecosystems provide. Different species would use these services in different ways, or adaptive strategies, which are sustained in time by continuous innovations. Using this framework, we postulate a model for a biological species (Homo sapiens) in a finite world where innovations, aimed at increasing the flux of ecosystem services (a measure of habitat quality), increase with population size, and have positive effects on the generation of new innovations (positive feedback) as well as costs in terms of negatively affecting the provision of ecosystem services. We applied this model to human populations, where technological innovations are driven by cumulative cultural evolution. Our model shows that depending on the net impact of a technology on the provision of ecosystem services (θ), and the strength of technological feedback (ξ), different regimes can result. Among them, the human population can fill the entire planet while maximizing their well-being, but not exhaust ecosystem services. However, this outcome requires positive or green technologies that increase the provision of ecosystem services with few negative externalities or environmental costs, and that have a strong positive feedback in generating new technologies of the same kind. If the feedback is small, then the technological stock can collapse together with the human population. Scenarios where technological innovations generate net negative impacts may be associated with a limited technological stock as well as a limited human population at equilibrium and the potential for collapse. The only way to fill the planet with humans under this scenario of negative technologies is by reducing the technological stock to a minimum. Otherwise, the only feasible equilibrium is associated with population collapse. Our model points out that technological innovations per se may not help humans to grow and dominate the planet. Instead, different possibilities unfold for our future depending on their impact on the environment and on further innovation.This article is part of the themed issue 'Process and pattern in innovations from cells to societies'.
© 2017 The Author(s).

Entities:  

Keywords:  cumulative cultural evolution; ecosystem services; human population size; innovation; technology

Mesh:

Year:  2017        PMID: 29061888      PMCID: PMC5665803          DOI: 10.1098/rstb.2016.0415

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  46 in total

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Journal:  Nature       Date:  2012-06-06       Impact factor: 49.962

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9.  The foundations of the human cultural niche.

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10.  Game-Changing Innovations: How Culture Can Change the Parameters of Its Own Evolution and Induce Abrupt Cultural Shifts.

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  6 in total

Review 1.  Cooperation and cheating as innovation: insights from cellular societies.

Authors:  Athena Aktipis; Carlo C Maley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-05       Impact factor: 6.237

2.  The conceptual foundations of network-based diffusion analysis: choosing networks and interpreting results.

Authors:  Will Hoppitt
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-05       Impact factor: 6.237

3.  Innovation: an emerging focus from cells to societies.

Authors:  Michael E Hochberg; Pablo A Marquet; Robert Boyd; Andreas Wagner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-05       Impact factor: 6.237

4.  The niche construction of cultural complexity: interactions between innovations, population size and the environment.

Authors:  Laurel Fogarty; Nicole Creanza
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5.  Hunter-gatherer populations inform modern ecology.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-23       Impact factor: 11.205

6.  Ecological complexity and the biosphere: the next 30 years.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-06-27       Impact factor: 6.671

  6 in total

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