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Article: Recent ecological transitions in China: Greening, browning, and influential factors

TitleRecent ecological transitions in China: Greening, browning, and influential factors
Authors
Issue Date2015
Citation
Scientific Reports, 2015, v. 5, article no. 8732 How to Cite?
AbstractEcological conservation and restoration are necessary to mitigate environmental degradation problems. China has taken great efforts in such actions. To understand the ecological transition during 2000-2010 in China, this study analysed trends in vegetation change using remote sensing and linear regression. Climate and socioeconomic factors were included to screen the driving forces for vegetation change using correlation or comparative analyses. Our results indicated that China experienced both vegetation greening (restoration) and browning (degradation) with great spatial heterogeneity. Socioeconomic factors, such as human populations and economic production, were the most significant factors for vegetation change. Nature reserves have contributed slightly to the deceleration of vegetation browning and the promotion of greening; however, a large-scale conservation approach beyond nature reserves was more effective. The effectiveness of the Three-North Shelter Forest Program lay between the two above approaches. The findings of this study highlighted that vegetation trend detection is a practical approach for large-scale ecological transition assessments, which can inform decision-making that promotes vegetation greening via proper socioeconomic development and ecosystem management.
Persistent Identifierhttp://hdl.handle.net/10722/318986
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLü, Yihe-
dc.contributor.authorZhang, Liwei-
dc.contributor.authorFeng, Xiaoming-
dc.contributor.authorZeng, Yuan-
dc.contributor.authorFu, Bojie-
dc.contributor.authorYao, Xueling-
dc.contributor.authorLi, Junran-
dc.contributor.authorWu, Bingfang-
dc.date.accessioned2022-10-11T12:25:00Z-
dc.date.available2022-10-11T12:25:00Z-
dc.date.issued2015-
dc.identifier.citationScientific Reports, 2015, v. 5, article no. 8732-
dc.identifier.urihttp://hdl.handle.net/10722/318986-
dc.description.abstractEcological conservation and restoration are necessary to mitigate environmental degradation problems. China has taken great efforts in such actions. To understand the ecological transition during 2000-2010 in China, this study analysed trends in vegetation change using remote sensing and linear regression. Climate and socioeconomic factors were included to screen the driving forces for vegetation change using correlation or comparative analyses. Our results indicated that China experienced both vegetation greening (restoration) and browning (degradation) with great spatial heterogeneity. Socioeconomic factors, such as human populations and economic production, were the most significant factors for vegetation change. Nature reserves have contributed slightly to the deceleration of vegetation browning and the promotion of greening; however, a large-scale conservation approach beyond nature reserves was more effective. The effectiveness of the Three-North Shelter Forest Program lay between the two above approaches. The findings of this study highlighted that vegetation trend detection is a practical approach for large-scale ecological transition assessments, which can inform decision-making that promotes vegetation greening via proper socioeconomic development and ecosystem management.-
dc.languageeng-
dc.relation.ispartofScientific Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleRecent ecological transitions in China: Greening, browning, and influential factors-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/srep08732-
dc.identifier.pmid25736296-
dc.identifier.pmcidPMC4348646-
dc.identifier.scopuseid_2-s2.0-84929995289-
dc.identifier.volume5-
dc.identifier.spagearticle no. 8732-
dc.identifier.epagearticle no. 8732-
dc.identifier.eissn2045-2322-
dc.identifier.isiWOS:000350375900005-

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