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230811 ||| eng |
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|a books978-3-0365-7653-4
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|a 9783036576527
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|a 9783036576534
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| 100 |
1 |
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|a Wang, Ying
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| 245 |
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0 |
|a The Impact of Social and Ecological Factors on Coupled Human-Environment Systems
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (394 p.)
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| 653 |
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|a eco-efficiency of land use
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| 653 |
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|a slacks analysis
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| 653 |
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|a influencing factors
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| 653 |
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|a situational analysis
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| 653 |
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|a TOPSIS model
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| 653 |
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|a Ecological science, the Biosphere / bicssc
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| 653 |
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|a spatial autocorrelation
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| 653 |
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|a carbon emissions
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| 653 |
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|a territorial space planning
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| 653 |
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|a perceived built environment
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| 653 |
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|a nudging strategies
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| 653 |
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|a formation mechanism
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| 653 |
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|a Lower Yellow River
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| 653 |
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|a impact mechanism
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| 653 |
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|a excessive demand
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| 653 |
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|a urban land development intensity
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| 653 |
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|a Hanjiang River Basin (HRB)
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| 653 |
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|a urbanization
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| 653 |
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|a structural equation model
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| 653 |
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|a interactive response
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| 653 |
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|a green infrastructure
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| 653 |
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|a land-use simulation
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| 653 |
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|a human activity intensity
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| 653 |
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|a carbon emission
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| 653 |
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|a modernization
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| 653 |
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|a driving factors
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| 653 |
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|a Yangtze River economic belt (YREB)
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| 653 |
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|a rural community resilience
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
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|a Guiyang City
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| 653 |
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|a resilient city
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| 653 |
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|a land market
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| 653 |
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|a Biology, life sciences / bicssc
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| 653 |
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|a ecosystem services
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| 653 |
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|a coupling coordination degree
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| 653 |
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|a production-living-ecological space
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| 653 |
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|a evaluation
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| 653 |
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|a land reallocation intentions
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| 653 |
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|a geographic probe
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| 653 |
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|a flood adaptation
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| 653 |
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|a China
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| 653 |
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|a green economic efficiency
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| 653 |
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|a Huanggang Dabieshan UNESCO Global Geopark (UGGp)
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| 653 |
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|a urban block
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| 653 |
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|a territorial space
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| 653 |
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|a Wuhan
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| 653 |
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|a ecosystem services value
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| 653 |
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|a theoretical discussion
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| 653 |
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|a SCS-CN model
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| 653 |
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|a Beijing-Tianjin-Hebei urban agglomeration
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| 653 |
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|a rural revitalization
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| 653 |
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|a UCL
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| 653 |
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|a improvement pathways
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| 653 |
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|a net carbon sequestration
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| 653 |
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|a urban land use efficiency
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| 653 |
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|a community farmers
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| 653 |
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|a mountainous cities
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| 653 |
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|a Super SBM-DEA model
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| 653 |
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|a factors allocation
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| 653 |
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|a ecosystem services' value (ESV)
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| 653 |
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|a Driving-Pressure-State-Impact-Response (DPSIR) model
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| 653 |
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|a coupling coordination
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| 653 |
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|a the middle reaches of Yangtze River
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| 653 |
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|a production-living-ecological spaces
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| 653 |
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|a habitat quality
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| 653 |
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|a place attachment
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| 653 |
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|a obstacle analysis
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| 653 |
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|a behavioral intervention
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| 653 |
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|a technology adoption
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| 653 |
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|a rural revitalization demonstration area
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| 653 |
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|a Gini coefficient
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| 653 |
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|a county level
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| 653 |
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|a tourism ecological security
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| 653 |
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|a spatiotemporal characteristics
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| 653 |
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|a neighborhood effect
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| 653 |
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|a objective built environment
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| 653 |
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|a spatial regression
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| 653 |
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|a grain-planting industry
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| 653 |
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|a urban ecosystem services
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| 653 |
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|a Shennongjia National Park
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| 653 |
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|a ecological security pattern
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| 653 |
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|a Yellow River Basin
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| 653 |
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|a land use intensity
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| 653 |
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|a InVEST
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| 653 |
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|a human well-being
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| 653 |
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|a spatial and temporal variation
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| 653 |
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|a arable land protection behavior
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| 653 |
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|a spatial correlations
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| 653 |
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|a InVEST model
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| 653 |
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|a land-use change
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| 653 |
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|a main function zone
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| 653 |
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|a rice-crayfish integrated system
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| 653 |
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|a landscape pattern
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| 653 |
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|a spatial priority evaluation
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| 653 |
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|a Guanzhong Plain urban agglomeration
|
| 700 |
1 |
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|a Wang, Weiwen
|
| 700 |
1 |
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|a Yang, Bin
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| 700 |
1 |
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|a Wang, Ying
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
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|a 10.3390/books978-3-0365-7653-4
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100883
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7347
|7 0
|x Verlag
|3 Volltext
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|a 363
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|a The relationship between human beings and the ecological environment poses a significant global challenge for the present and the future. As human-environment interactions become more complex, it is essential to measure and understand the spatiotemporal dynamics of coupled human-environment systems and how they are influenced by social and ecological factors. This reprint offers twenty original research articles that explore the latest developments in monitoring and projecting the spatiotemporal changes of the coupled system, examining the responses of the coupled system to socio-ecological drivers and processes, and discussing the implications for the sustainable management of the coupled system.
|