Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth
ABSTRACTSince the initiation of the Grain for Green Project (GFGP) in 1999, dramatic change in vegetation status on the Loess Plateau. Spatially, geographical detector was employed to detect dominant variables influencing the spatial arrangement of normalized difference vegetation index (NDVI). Temp...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2336075 |
| _version_ | 1797216996533731328 |
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| author | Miaomiao Cheng Zhihui Wang Shidong Wang Xinjie Liu Wenzhe Jiao Yi Zhang |
| author_facet | Miaomiao Cheng Zhihui Wang Shidong Wang Xinjie Liu Wenzhe Jiao Yi Zhang |
| author_sort | Miaomiao Cheng |
| collection | DOAJ |
| description | ABSTRACTSince the initiation of the Grain for Green Project (GFGP) in 1999, dramatic change in vegetation status on the Loess Plateau. Spatially, geographical detector was employed to detect dominant variables influencing the spatial arrangement of normalized difference vegetation index (NDVI). Temporally, lagged or accumulated monthly precipitation, temperature and standardized precipitation evapotranspiration indices (SPEIs) sensitive to the monthly NDVI were first detected for every individual pixel, and the correlation between the NDVI and meteorological elements with time-lag effects was established a random forest model of unchanged land cover, followed by attributing impacts of climatic alterations and human interventions through residual examination across changed land cover. The findings indicate that (1) precipitation, slope, and soil dominantly influence the spatial arrangement of the NDVI. (2) Precipitation in current the month and cumulative temperatures of the previous 1–2 months steadily affect vegetation growth significantly, the optimal accumulation time interval for SPEI around 2000 are 8 months and 4 months, respectively. (3) Increases in the average NDVI within woodland and meadow vegetation on the Loess Plateau were primarily driven by climate change before 2000, accounting for 76.2%, whereas after 2000 it was dominantly driven by human activities, accounting for 64.16%. |
| first_indexed | 2024-04-24T11:54:50Z |
| format | Article |
| id | doaj.art-ca01147b204f48fc9530306e22da5523 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-04-24T11:54:50Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-ca01147b204f48fc9530306e22da55232024-04-09T06:02:58ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552024-12-0117110.1080/17538947.2024.2336075Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growthMiaomiao Cheng0Zhihui Wang1Shidong Wang2Xinjie Liu3Wenzhe Jiao4Yi Zhang5School of Surveying and Land Information Engineering, Henan Polytechnic University, JiaozuoKey Laboratory of Soil and Water Conservation on the Loess Plateau of Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou, People’s Republic of ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, JiaozuoAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, USASchool of Surveying and Land Information Engineering, Henan Polytechnic University, JiaozuoABSTRACTSince the initiation of the Grain for Green Project (GFGP) in 1999, dramatic change in vegetation status on the Loess Plateau. Spatially, geographical detector was employed to detect dominant variables influencing the spatial arrangement of normalized difference vegetation index (NDVI). Temporally, lagged or accumulated monthly precipitation, temperature and standardized precipitation evapotranspiration indices (SPEIs) sensitive to the monthly NDVI were first detected for every individual pixel, and the correlation between the NDVI and meteorological elements with time-lag effects was established a random forest model of unchanged land cover, followed by attributing impacts of climatic alterations and human interventions through residual examination across changed land cover. The findings indicate that (1) precipitation, slope, and soil dominantly influence the spatial arrangement of the NDVI. (2) Precipitation in current the month and cumulative temperatures of the previous 1–2 months steadily affect vegetation growth significantly, the optimal accumulation time interval for SPEI around 2000 are 8 months and 4 months, respectively. (3) Increases in the average NDVI within woodland and meadow vegetation on the Loess Plateau were primarily driven by climate change before 2000, accounting for 76.2%, whereas after 2000 it was dominantly driven by human activities, accounting for 64.16%.https://www.tandfonline.com/doi/10.1080/17538947.2024.2336075NDVIclimate changehuman activitiesgeodetectorrandom forest modelloess plateau |
| spellingShingle | Miaomiao Cheng Zhihui Wang Shidong Wang Xinjie Liu Wenzhe Jiao Yi Zhang Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth International Journal of Digital Earth NDVI climate change human activities geodetector random forest model loess plateau |
| title | Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth |
| title_full | Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth |
| title_fullStr | Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth |
| title_full_unstemmed | Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth |
| title_short | Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth |
| title_sort | determining the impacts of climate change and human activities on vegetation change on the chinese loess plateau considering human induced vegetation type change and time lag effects of climate on vegetation growth |
| topic | NDVI climate change human activities geodetector random forest model loess plateau |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2336075 |
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