Production–Living–Ecological Risk Assessment and Corresponding Strategies in China’s Provinces under Climate Change Scenario Article Swipe
Wenjuan Hou
,
Shaohong Wu
,
Linsheng Yang
,
Yunhe Yin
,
Jiangbo Gao
,
Haoyu Deng
,
Maowei Wu
,
Xiaojie Li
,
Lulu Liu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/land11091424
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/land11091424
In the context of the increasing frequency of natural disasters caused by climate change in recent years, rational territorial spatial planning must pay attention to production–living–ecological (PLE) risks under climate change scenarios. In this study, a method synthesizing the Box–Cox transformation and area weighted averaging is established for characterizing the PLE risks in China’s provinces, which are divided into three zones to cope with PLE risks. Further, targeted strategies from the perspective of the disaster-induced factors and disaster-affected objects are explored for the regions within the different zones. The results show that the regions with a high production risk are mainly distributed in Guangdong, Henan, and Shandong, with an index between 0.80 and 1.00; the regions with a high living risk are concentrated in Jiangsu, Anhui, Guangdong, and Hainan, with an index exceeding 0.72; and the regions with a high ecological risk are concentrated in Guangxi, Ningxia, and Yunnan, with an index exceeding 0.50. The overall PLE risk is high along the southeastern coast, intermediate in central and western China, and low on the Tibetan Plateau. From the A to C zones, the number of risk types and intensity of risks requiring attention gradually decrease. For the category A zone, recommended measures include the construction of disaster risk monitoring and early warning systems for coastal cities and major grain-producing regions, the development of urban ecological protection zones, and the adjustment of economic and energy structures, etc. Production and living risks are central to the category B zone, while ecological and production risks are central to the category C zone. This study can provide theoretical support for China’s scientific development of land planning and the realization of a beautiful China.
Related Topics
Concepts
Geography
China
Climate change
Context (archaeology)
Plateau (mathematics)
Disaster area
Natural disaster
Warning system
Index (typography)
Environmental resource management
Environmental protection
Physical geography
Ecology
Environmental science
Engineering
Aerospace engineering
Mathematics
World Wide Web
Computer science
Archaeology
Mathematical analysis
Biology
Meteorology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/land11091424
- https://www.mdpi.com/2073-445X/11/9/1424/pdf?version=1661834989
- OA Status
- gold
- Cited By
- 6
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293717894
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293717894Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/land11091424Digital Object Identifier
- Title
-
Production–Living–Ecological Risk Assessment and Corresponding Strategies in China’s Provinces under Climate Change ScenarioWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-29Full publication date if available
- Authors
-
Wenjuan Hou, Shaohong Wu, Linsheng Yang, Yunhe Yin, Jiangbo Gao, Haoyu Deng, Maowei Wu, Xiaojie Li, Lulu LiuList of authors in order
- Landing page
-
https://doi.org/10.3390/land11091424Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-445X/11/9/1424/pdf?version=1661834989Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-445X/11/9/1424/pdf?version=1661834989Direct OA link when available
- Concepts
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Geography, China, Climate change, Context (archaeology), Plateau (mathematics), Disaster area, Natural disaster, Warning system, Index (typography), Environmental resource management, Environmental protection, Physical geography, Ecology, Environmental science, Engineering, Aerospace engineering, Mathematics, World Wide Web, Computer science, Archaeology, Mathematical analysis, Biology, MeteorologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.targeted | 67 |
| abstract_inverted_index.weighted | 43 |
| abstract_inverted_index.Box–Cox | 39 |
| abstract_inverted_index.China’s | 53, 266 |
| abstract_inverted_index.Shandong, | 106 |
| abstract_inverted_index.attention | 23, 192 |
| abstract_inverted_index.averaging | 44 |
| abstract_inverted_index.beautiful | 277 |
| abstract_inverted_index.decrease. | 194 |
| abstract_inverted_index.different | 86 |
| abstract_inverted_index.disasters | 9 |
| abstract_inverted_index.exceeding | 132, 152 |
| abstract_inverted_index.frequency | 6 |
| abstract_inverted_index.gradually | 193 |
| abstract_inverted_index.intensity | 188 |
| abstract_inverted_index.requiring | 191 |
| abstract_inverted_index.Guangdong, | 103, 126 |
| abstract_inverted_index.Production | 236 |
| abstract_inverted_index.adjustment | 229 |
| abstract_inverted_index.ecological | 140, 224, 248 |
| abstract_inverted_index.increasing | 5 |
| abstract_inverted_index.monitoring | 208 |
| abstract_inverted_index.production | 97, 250 |
| abstract_inverted_index.protection | 225 |
| abstract_inverted_index.provinces, | 54 |
| abstract_inverted_index.scenarios. | 31 |
| abstract_inverted_index.scientific | 267 |
| abstract_inverted_index.strategies | 68 |
| abstract_inverted_index.development | 221, 268 |
| abstract_inverted_index.distributed | 101 |
| abstract_inverted_index.established | 46 |
| abstract_inverted_index.perspective | 71 |
| abstract_inverted_index.realization | 274 |
| abstract_inverted_index.recommended | 200 |
| abstract_inverted_index.structures, | 234 |
| abstract_inverted_index.territorial | 18 |
| abstract_inverted_index.theoretical | 263 |
| abstract_inverted_index.concentrated | 122, 143 |
| abstract_inverted_index.construction | 204 |
| abstract_inverted_index.intermediate | 164 |
| abstract_inverted_index.southeastern | 162 |
| abstract_inverted_index.synthesizing | 37 |
| abstract_inverted_index.characterizing | 48 |
| abstract_inverted_index.transformation | 40 |
| abstract_inverted_index.grain-producing | 218 |
| abstract_inverted_index.disaster-induced | 74 |
| abstract_inverted_index.disaster-affected | 77 |
| abstract_inverted_index.production–living–ecological | 25 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5064560781 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210160793, https://openalex.org/I4210165038 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.67355314 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |