Version 1
: Received: 28 January 2024 / Approved: 29 January 2024 / Online: 29 January 2024 (09:27:58 CET)
How to cite:
Wang, X.; Fang, S.; Li, Y.; Dong, C.; Sun, L. Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications. Preprints2024, 2024012006. https://doi.org/10.20944/preprints202401.2006.v1
Wang, X.; Fang, S.; Li, Y.; Dong, C.; Sun, L. Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications. Preprints 2024, 2024012006. https://doi.org/10.20944/preprints202401.2006.v1
Wang, X.; Fang, S.; Li, Y.; Dong, C.; Sun, L. Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications. Preprints2024, 2024012006. https://doi.org/10.20944/preprints202401.2006.v1
APA Style
Wang, X., Fang, S., Li, Y., Dong, C., & Sun, L. (2024). Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications. Preprints. https://doi.org/10.20944/preprints202401.2006.v1
Chicago/Turabian Style
Wang, X., Chao Dong and Li Sun. 2024 "Spatiotemporal Variability of Vegetation NDVI in the Huaihe River Basin, China: Driving Force Analysis and Ecological Implications" Preprints. https://doi.org/10.20944/preprints202401.2006.v1
Abstract
This research seeks to advance the understanding of ecological management in the Huaihe River Basin, China. The spatiotemporal variability of the Normalized Difference Vegetation Index (NDVI) and its underlying driving forces are examined utilizing SPOT-NDVI data covering the period 2000-2019. Linear regression analysis is employed to quantify trends and assess the statistical significance of NDVI variations. A differencing approach is subsequently applied to discern the variability in NDVI. The distribution of its spatial pattern stability over 20 years is explored through the coefficient of variation. Lastly, the Geodetector method is utilized to elucidate the driving factors influencing NDVI dynamics. The results indicate that the overall NDVI is generally high, with an overall growth rate of 0.00148/year, and 2010 is identified as a significant inflection point in the trend. NDVI values are notably lower in urban areas, corresponding to urban expansion, except for regions near rivers and lakes. Land use type emerges as the strongest explanatory factor for NDVI among single factors, with climate factors exhibiting a relatively weaker degree of explanatory force. These findings suggest that the overall NDVI in the Huaihe River Basin is high, indicative of a vegetation condition that continues to improve.
Keywords
Spatiotemporal Variability; Ecological Drivers; NDVI; Geodetector; Huaihe River Basin
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
