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- W2765839592 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’." @default.
- W2765839592 created "2017-11-10" @default.
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- W2765839592 date "2017-10-23" @default.
- W2765839592 modified "2023-10-15" @default.
- W2765839592 title "Innovation and the growth of human population" @default.
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- W2765839592 cites W1976128508 @default.
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- W2765839592 cites W1988907944 @default.
- W2765839592 cites W1997466867 @default.
- W2765839592 cites W1999167944 @default.
- W2765839592 cites W1999798677 @default.
- W2765839592 cites W2005307596 @default.
- W2765839592 cites W2009208822 @default.
- W2765839592 cites W2013414890 @default.
- W2765839592 cites W2014445716 @default.
- W2765839592 cites W2016038299 @default.
- W2765839592 cites W2022651873 @default.
- W2765839592 cites W2028261423 @default.
- W2765839592 cites W2031071000 @default.
- W2765839592 cites W2036735325 @default.
- W2765839592 cites W2038921273 @default.
- W2765839592 cites W2043703123 @default.
- W2765839592 cites W2049805009 @default.
- W2765839592 cites W2059754948 @default.
- W2765839592 cites W2060680089 @default.
- W2765839592 cites W2061190445 @default.
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- W2765839592 cites W2074028900 @default.
- W2765839592 cites W2078276712 @default.
- W2765839592 cites W2090478398 @default.
- W2765839592 cites W2090944732 @default.
- W2765839592 cites W2094520873 @default.
- W2765839592 cites W2096885696 @default.
- W2765839592 cites W2096994375 @default.
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- W2765839592 cites W2128280063 @default.
- W2765839592 cites W2130509491 @default.
- W2765839592 cites W2138958034 @default.
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- W2765839592 cites W2238722200 @default.
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- W2765839592 cites W2328405273 @default.
- W2765839592 cites W2330267843 @default.
- W2765839592 cites W2330349018 @default.
- W2765839592 cites W2336529945 @default.
- W2765839592 cites W2409668806 @default.
- W2765839592 cites W2505232554 @default.
- W2765839592 cites W2508541402 @default.
- W2765839592 cites W2533696706 @default.
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- W2765839592 doi "https://doi.org/10.1098/rstb.2016.0415" @default.
- W2765839592 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5665803" @default.
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