Journal of Geographical Sciences >
Coupled Human and Natural Cube: A novel framework for analyzing the multiple interactions between humans and nature
Liu Haimeng, PhD, specialized in urban geography and human-environment systems. E-mail: liuhm@igsnrr.ac.cn |
Received date: 2019-06-18
Accepted date: 2019-10-12
Online published: 2020-05-25
Supported by
Program of the National Natural Science Foundation of China(No.41590842)
Program of the National Natural Science Foundation of China(No.41801164)
China Postdoctoral Science Foundation(No.2018M630196)
Copyright
Understanding the interactions between humans and nature in the Anthropocene is central to the quest for both human wellbeing and global sustainability. However, the time-space compression, long range interactions, and reconstruction of socio-economic structures at the global scale all pose great challenges to the traditional analytical frameworks of human-nature systems. In this paper, we extend the connotation of coupled human and natural systems (CHANS) and their four dimensions—space, time, appearance, and organization, and propose a novel framework: “Coupled Human and Natural Cube” (CHNC) to explain the coupling mechanism between humans and the natural environment. Our proposition is inspired by theories based on the human-earth areal system, telecoupling framework, planetary urbanization, and perspectives from complexity science. We systematically introduce the concept, connotation, evolution rules, and analytical dimensions of the CHNC. Notably there exist various “coupling lines” in the CHNC, connecting different systems and elements at multiple scales and forming a large, nested, interconnected, organic system. The rotation of the CHNC represents spatiotemporal nonlinear fluctuations in CHANS in different regions. As a system continually exchanges energy with the environment, a critical phase transition occurs when fluctuations reach a certain threshold, leading to emergent behavior of the system. The CHNC has four dimensions—pericoupling and telecoupling, syncoupling and lagcoupling, apparent coupling and hidden coupling, and intra-organization coupling and inter-organizational coupling. We mainly focus on the theoretical connotation, research methods, and typical cases of telecoupling, lagcoupling, hidden coupling, and inter-organizational coupling, and put forward a human-nature coupling matrix to integrate multiple dimensions. In summary, the CHNC provides a more comprehensive and systematic research paradigm for understanding the evolution and coupling mechanism of the human-nature system, which expands the analytical dimension of CHANS. The CHNC also provides a theoretical support for formulating regional, sustainable development policies for human wellbeing.
LIU Haimeng , FANG Chuanglin , FANG Kai . Coupled Human and Natural Cube: A novel framework for analyzing the multiple interactions between humans and nature[J]. Journal of Geographical Sciences, 2020 , 30(3) : 355 -377 . DOI: 10.1007/s11442-020-1732-9
Figure 1 Conceptual illustration of coupled human and natural systems |
Figure 2 The conceptual illustration of Coupled Human and Natural Cube |
Figure 3 Evolution and nested-scaling of Coupled Human and Natural Cube |
Figure 4 Cross-scale telecoupling |
Figure 5 Syncoupling and lagcoupling of human-nature systems |
Figure 6 A case of hidden telecouplings: Tele-connecting local primary PM2.5 emissions to global consumption |
Figure 7 Inter-organizational couplings of human-nature systems |
Table 1 Comparison of different coupling types in the Coupled Human and Natural Cube |
Conceptual framework | Analysis dimensions | Coupling type | Concept | Diagram | Research methods | Typical cases |
---|---|---|---|---|---|---|
“CHNC” | Space | Intracoupling | Interaction between subsystems, as well as the elements within the particular areal system. | Statistics, coupling degree, coupling coordination degree, etc. | Omitted | |
Telecoupling | Interaction between humans and nature in different remote areal systems, or in different spatial scales. Two categories: Multi- regional telecoupling (MRTC) and multi- scale telecoupling (MSTC). | Multi-region input-output model, spatial Durbin model, hierarchical spatial autoregressive model, network analysis, material flow analysis, energy flow analysis, etc. | MRTC: Water diversion, industry transfer, tourism, international trade, technology transfer, investment; MSTC: Local responses to climate change, global diffusion of local pollution | |||
Time | Syncoupling | Interaction effect between humans and nature occurring in a similar time section. | Statistics, coupling degree, coupling coordination degree, time series analysis, etc. | Omitted | ||
Lagcoupling | Interaction and feedback between humans and nature in different time periods; the causal chain has relative long time intervals. | Time-delay model, dynamic general equilibrium model, multi-level temporal autoregressive modeling, etc. | The time lag effect of environmental investment on local eco-environment; the 1.5 C global warming target in the Paris Agreement has important effect for current policy. | |||
Appear- ance | Apparent coupling | Direct interaction between subsystems; elements within the CHANS and causal chain are A→B | Correlations analysis, linear regression analysis, coupling degree, coupling coordination degree, etc. | Omitted | ||
Hidden coupling | Interaction between elements or systems is not direct, but works indirectly through a mediator or through an implied system or element, and the causal chain is A→C→B or A(C)→B. | Mediating effects model, multi-region input-output model, environmental footprint, life cycle assessment, etc. | A→C→B: Urbanization has indirect effects on carbon emissions by influencing the structure and intensity of energy consumption; A(C)→B: Pollutants, carbon emissions, virtual water hidden in international trade. | |||
Organization | Intra- organizational coupling | Interaction between humans and nature in a particular organization. | Statistics, game theory, etc. | Omitted | ||
Inter- organizational coupling | Complex interest game to tradeoff human development and environment between different organizations and stakeholders. | Game theory, multi-agent modeling, complex adaptive systems theory, multicenter self-organization theory, complex networks, big data analysis, etc. | Stakeholders such as government, farmers, medias and NGOs have different roles and behavioral responses in ecological compensation. |
Table 2 Human-nature coupling matrix |
Analysis dimension | Space | Time | Appearance | Organization |
---|---|---|---|---|
Space | Intracoupling or telecoupling | Intracoupling or telecoupling + syncoupling or lagcoupling | Intracoupling or telecoupling + apparent or hidden coupling | Intracoupling or telecoupling + intra-organizational or inter- organizational coupling |
Time | Syncoupling or lagcoupling + intracoupling or telecoupling | Syncoupling or lagcoupling | Syncoupling or lagcoupling + apparent or hidden coupling | Syncoupling or lagcoupling + intra-organizational or inter-organizational coupling |
Appearance | Apparent or hidden coupling + intracoupling or telecoupling | Apparent or hidden coupling + syncoupling or lagcoupling | Apparent or hidden coupling | Apparent or hidden coupling + intra-organizational or inter-organizational coupling |
Organization | Intra-organizational or inter-organizational coupling + intracoupling or telecoupling | Intra-organizational or inter-organizational coupling + syncoupling or lagcoupling | Intra-organizational or inter- organizational coupling + apparent or hidden coupling | Intra-organizational or inter-organizational coupling |
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