Climate Change Data Portal
DOI | 10.1146/annurev-earth-053018-060428 |
A Novel Approach to Carrying Capacity: From a priori Prescription to a posteriori Derivation Based on Underlying Mechanisms and Dynamics | |
Mote S.; Rivas J.; Kalnay E. | |
发表日期 | 2020 |
ISSN | 0084-6597 |
起始页码 | 657 |
结束页码 | 683 |
卷号 | 48 |
英文摘要 | The Human System is within the Earth System. They should be modeled bidirectionally coupled, as they are in reality. The Human System is rapidly expanding, mostly due to consumption of fossil fuels (approximately one million times faster than Nature accumulated them) and fossil water. This threatens not only other planetary subsystems but also the Human System itself. Carrying Capacity is an important tool to measure sustainability, but there is a widespread view that Carrying Capacity is not applicable to humans. Carrying Capacity has generally been prescribed a priori, mostly using the logistic equation. However, the real dynamics of human population and consumption are not represented by this equation or its variants. We argue that Carrying Capacity should not be prescribed but should insteadbe dynamically derived a posteriori from the bidirectional coupling of Earth System submodels with the Human System model. We demonstrate this approach with a minimal model of Human-Nature interaction (HANDY). The Human System is a subsystem of the Earth System, with inputs (resources) from Earth System sources and outputs (waste, emissions) to Earth System sinks. The Human System is growing rapidly due to nonrenewable stocks of fossil fuels and water and threatens the sustainability of the Human System and to overwhelm the Earth System. Carrying Capacity has been prescribed a priori and using the logistic equation, which does not represent the dynamics of the Human System. Our new approach to human Carrying Capacity is derived from dynamically coupled Earth System-Human System models and can be used to estimate the sustainability of the Human System. © Copyright 2020 by Annual Reviews. All rights reserved. |
关键词 | DynamicsSustainable developmentBidirectional couplingEarth systemsHuman populationHuman systemLogistic equationsMinimal modelNew approachesPriori prescriptionsFossil fuelscarrying capacityfossil fuelnumerical modelsustainability |
语种 | 英语 |
来源机构 | Annual Review of Earth and Planetary Sciences |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/131907 |
推荐引用方式 GB/T 7714 | Mote S.,Rivas J.,Kalnay E.. A Novel Approach to Carrying Capacity: From a priori Prescription to a posteriori Derivation Based on Underlying Mechanisms and Dynamics[J]. Annual Review of Earth and Planetary Sciences,2020,48. |
APA | Mote S.,Rivas J.,&Kalnay E..(2020).A Novel Approach to Carrying Capacity: From a priori Prescription to a posteriori Derivation Based on Underlying Mechanisms and Dynamics.,48. |
MLA | Mote S.,et al."A Novel Approach to Carrying Capacity: From a priori Prescription to a posteriori Derivation Based on Underlying Mechanisms and Dynamics".48(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。