Climate change: vegetation and phenological phase dynamics
Purpose – The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change,...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2020-09-01
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| Series: | International Journal of Climate Change Strategies and Management |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-06-2019-0037/full/pdf?title=climate-change-vegetation-and-phenological-phase-dynamics |
| _version_ | 1811242736050765824 |
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| author | Yang Li Yaochen Qin Liqun Ma Ziwu Pan |
| author_facet | Yang Li Yaochen Qin Liqun Ma Ziwu Pan |
| author_sort | Yang Li |
| collection | DOAJ |
| description | Purpose – The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change, to provide support for the restoration and environmental treatment of vegetation on the Loess Plateau. Design/methodology/approach – The Savitsky–Golay (S-G) filtering algorithm was used to reconstruct time series of moderate resolution imaging spectroradiometer (MODIS) 13A2 data. Combined with trend analysis and partial correlation analysis, the influence of climate change on the phenology and enhanced vegetation index (EVI) during the growing season was described. Findings – The S-G filtering algorithm is suitable for EVI reconstruction of the Loess Plateau. The date of start of growing season was found to gradually later along the Southeast–Northwest direction, whereas the date of the end of the growing season showed the opposite pattern and the length of the growing season gradually shortened. Vegetation EVI values decreased gradually from Southeast to Northwest. Vegetation changed significantly and showed clear differentiation according to different topographic factors. Vegetation correlated positively with precipitation from April to July and with temperature from August to November. Originality/value – This study provides technical support for ecological environmental assessment, restoration of regional vegetation coverage and environmental governance of the Loess Plateau over the past two decades. It also provides theoretical support for the prediction model of vegetation phenology changes based on remote sensing data. |
| first_indexed | 2024-04-12T13:55:21Z |
| format | Article |
| id | doaj.art-f32fe0ba1fb343d4b5a6e0e449bba58a |
| institution | Directory Open Access Journal |
| issn | 1756-8692 1756-8706 |
| language | English |
| last_indexed | 2024-04-12T13:55:21Z |
| publishDate | 2020-09-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | International Journal of Climate Change Strategies and Management |
| spelling | doaj.art-f32fe0ba1fb343d4b5a6e0e449bba58a2022-12-22T03:30:23ZengEmerald PublishingInternational Journal of Climate Change Strategies and Management1756-86921756-87062020-09-0112449550910.1108/IJCCSM-06-2019-0037648003Climate change: vegetation and phenological phase dynamicsYang Li0Yaochen Qin1Liqun Ma2Ziwu Pan3College for Environment and Planning, Henan University, Kaifeng, Henan, China and Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, ChinaCollege for Environment and Planning, Henan University, Kaifeng, Henan, China; Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, China and Collaborative Innovation Center of Urban-Rural Coordinated Development, Zhengzhou, ChinaCollege for Environment and Planning, Henan University, Kaifeng, Henan, China and Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, ChinaCollege for Environment and Planning, Henan University, Kaifeng, Henan, China and Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, ChinaPurpose – The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change, to provide support for the restoration and environmental treatment of vegetation on the Loess Plateau. Design/methodology/approach – The Savitsky–Golay (S-G) filtering algorithm was used to reconstruct time series of moderate resolution imaging spectroradiometer (MODIS) 13A2 data. Combined with trend analysis and partial correlation analysis, the influence of climate change on the phenology and enhanced vegetation index (EVI) during the growing season was described. Findings – The S-G filtering algorithm is suitable for EVI reconstruction of the Loess Plateau. The date of start of growing season was found to gradually later along the Southeast–Northwest direction, whereas the date of the end of the growing season showed the opposite pattern and the length of the growing season gradually shortened. Vegetation EVI values decreased gradually from Southeast to Northwest. Vegetation changed significantly and showed clear differentiation according to different topographic factors. Vegetation correlated positively with precipitation from April to July and with temperature from August to November. Originality/value – This study provides technical support for ecological environmental assessment, restoration of regional vegetation coverage and environmental governance of the Loess Plateau over the past two decades. It also provides theoretical support for the prediction model of vegetation phenology changes based on remote sensing data.https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-06-2019-0037/full/pdf?title=climate-change-vegetation-and-phenological-phase-dynamicsmodis-evis-g filtergrowing seasonchange trendclimatic factorsloess plateau |
| spellingShingle | Yang Li Yaochen Qin Liqun Ma Ziwu Pan Climate change: vegetation and phenological phase dynamics International Journal of Climate Change Strategies and Management modis-evi s-g filter growing season change trend climatic factors loess plateau |
| title | Climate change: vegetation and phenological phase dynamics |
| title_full | Climate change: vegetation and phenological phase dynamics |
| title_fullStr | Climate change: vegetation and phenological phase dynamics |
| title_full_unstemmed | Climate change: vegetation and phenological phase dynamics |
| title_short | Climate change: vegetation and phenological phase dynamics |
| title_sort | climate change vegetation and phenological phase dynamics |
| topic | modis-evi s-g filter growing season change trend climatic factors loess plateau |
| url | https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-06-2019-0037/full/pdf?title=climate-change-vegetation-and-phenological-phase-dynamics |
| work_keys_str_mv | AT yangli climatechangevegetationandphenologicalphasedynamics AT yaochenqin climatechangevegetationandphenologicalphasedynamics AT liqunma climatechangevegetationandphenologicalphasedynamics AT ziwupan climatechangevegetationandphenologicalphasedynamics |