File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Migration of rural residents to urban areas drives grassland vegetation increase in China's Loess Plateau

TitleMigration of rural residents to urban areas drives grassland vegetation increase in China's Loess Plateau
Authors
KeywordsClimate change
Grassland vegetation dynamics
Human activity
Loess Plateau
Structural equation model
Urbanization
Issue Date2019
Citation
Sustainability (Switzerland), 2019, v. 11, n. 23, article no. 6764 How to Cite?
AbstractHuman activities are critical factors influencing ecosystem sustainability. However, knowledge on regarding the mechanisms underlying the response of vegetation dynamics to human activities remains limited. To detect the driving factors and their individual contribution to the grassland vegetation dynamics in China's Loess Plateau, a structural equation model (SEM) and a principal component regression model were built. The SEM showed that population change and urbanization, temperature and humidity, and agriculture and economy accounted for 62.5%, 31.2%, and 7.7%, respectively, of the overall impact directly affecting grassland vegetation dynamics. Furthermore, the principal component regression model demonstrated that the effects of the urbanization rate on the grassland above-ground biomass exceeded those of the other factors. The agriculture population had the maximum negative effect on grassland area. The higher the urbanization rate means the higher the number of residents migrates from rural to urban areas. Following this argument, the disturbances of human activities to grassland vegetation were expected to gradually decrease in rural areas, where the vast majority of the Loess Plateau is located. The migration of rural residents to urban areas promoted the increase in biomass and areas of grassland vegetation. Our findings suggest that the effect of urbanization should be considered when assessing vegetation change.
Persistent Identifierhttp://hdl.handle.net/10722/329847
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWei, Jian Zhou-
dc.contributor.authorZheng, Kai-
dc.contributor.authorZhang, Feng-
dc.contributor.authorFang, Chao-
dc.contributor.authorZhou, Yu Yu-
dc.contributor.authorLi, Xue Cao-
dc.contributor.authorLi, Feng Min-
dc.contributor.authorYe, Jian Sheng-
dc.date.accessioned2023-08-09T03:35:46Z-
dc.date.available2023-08-09T03:35:46Z-
dc.date.issued2019-
dc.identifier.citationSustainability (Switzerland), 2019, v. 11, n. 23, article no. 6764-
dc.identifier.urihttp://hdl.handle.net/10722/329847-
dc.description.abstractHuman activities are critical factors influencing ecosystem sustainability. However, knowledge on regarding the mechanisms underlying the response of vegetation dynamics to human activities remains limited. To detect the driving factors and their individual contribution to the grassland vegetation dynamics in China's Loess Plateau, a structural equation model (SEM) and a principal component regression model were built. The SEM showed that population change and urbanization, temperature and humidity, and agriculture and economy accounted for 62.5%, 31.2%, and 7.7%, respectively, of the overall impact directly affecting grassland vegetation dynamics. Furthermore, the principal component regression model demonstrated that the effects of the urbanization rate on the grassland above-ground biomass exceeded those of the other factors. The agriculture population had the maximum negative effect on grassland area. The higher the urbanization rate means the higher the number of residents migrates from rural to urban areas. Following this argument, the disturbances of human activities to grassland vegetation were expected to gradually decrease in rural areas, where the vast majority of the Loess Plateau is located. The migration of rural residents to urban areas promoted the increase in biomass and areas of grassland vegetation. Our findings suggest that the effect of urbanization should be considered when assessing vegetation change.-
dc.languageeng-
dc.relation.ispartofSustainability (Switzerland)-
dc.subjectClimate change-
dc.subjectGrassland vegetation dynamics-
dc.subjectHuman activity-
dc.subjectLoess Plateau-
dc.subjectStructural equation model-
dc.subjectUrbanization-
dc.titleMigration of rural residents to urban areas drives grassland vegetation increase in China's Loess Plateau-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3390/su11236764-
dc.identifier.scopuseid_2-s2.0-85076595372-
dc.identifier.volume11-
dc.identifier.issue23-
dc.identifier.spagearticle no. 6764-
dc.identifier.epagearticle no. 6764-
dc.identifier.eissn2071-1050-
dc.identifier.isiWOS:000508186400236-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats