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Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013
The Loess Plateau, covering approximately 640,000 km(2), has experienced the most severe soil erosion in the world. A greening tendency has been noticed since implementing the Grain to Green Program (GTGP), which may prevent further soil erosion. Therefore, understanding the underpinning basis of gr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796459/ https://www.ncbi.nlm.nih.gov/pubmed/33466482 http://dx.doi.org/10.3390/s21010315 |
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author | Zhang, Chunyan Guo, Shan Guan, Yanning Cai, Danlu Bian, Xiaolin |
author_facet | Zhang, Chunyan Guo, Shan Guan, Yanning Cai, Danlu Bian, Xiaolin |
author_sort | Zhang, Chunyan |
collection | PubMed |
description | The Loess Plateau, covering approximately 640,000 km(2), has experienced the most severe soil erosion in the world. A greening tendency has been noticed since implementing the Grain to Green Program (GTGP), which may prevent further soil erosion. Therefore, understanding the underpinning basis of greening stability and persistence is important for sustainable improvement. Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) datasets for 1982–2013 were used to investigate the temporal stability and persistent time (PT) of vegetation over the Loess Plateau, utilizing the coefficient of variation (CV) and the estimation of tendencies of vegetation greening starting from the selected reference conditions. Two periods from 1982 to 1999 (as the reference period) and 2000 to 2013 were selected by considering the GTGP since 1999. The results indicate that: (1) A significant increase in vegetation cover occurred in the low NDVI area (NDVI < 0.3), with a high fluctuation from 2000 to 2013 compared with the reference period. Moreover, the fluctuation in vegetation is more related to precipitation variation since 1999. (2) Most areas recovered in the greening trend of the first period starting in 2009, occurring in 28.7% (2628 of 9148) of the total area. (3) The revegetated areas have a low PT and a high [Formula: see text] , that is, the revegetated areas need a long time to recover from disturbances. Therefore, we identify the sensitive areas with PT = 4; further management needs to be implemented for sustainable development in these areas. These results provide a method to quantify the stability and persistence of the complex interactions between vegetation greenness and environmental changes, particularly in fragile areas. |
format | Online Article Text |
id | pubmed-7796459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77964592021-01-10 Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 Zhang, Chunyan Guo, Shan Guan, Yanning Cai, Danlu Bian, Xiaolin Sensors (Basel) Letter The Loess Plateau, covering approximately 640,000 km(2), has experienced the most severe soil erosion in the world. A greening tendency has been noticed since implementing the Grain to Green Program (GTGP), which may prevent further soil erosion. Therefore, understanding the underpinning basis of greening stability and persistence is important for sustainable improvement. Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) datasets for 1982–2013 were used to investigate the temporal stability and persistent time (PT) of vegetation over the Loess Plateau, utilizing the coefficient of variation (CV) and the estimation of tendencies of vegetation greening starting from the selected reference conditions. Two periods from 1982 to 1999 (as the reference period) and 2000 to 2013 were selected by considering the GTGP since 1999. The results indicate that: (1) A significant increase in vegetation cover occurred in the low NDVI area (NDVI < 0.3), with a high fluctuation from 2000 to 2013 compared with the reference period. Moreover, the fluctuation in vegetation is more related to precipitation variation since 1999. (2) Most areas recovered in the greening trend of the first period starting in 2009, occurring in 28.7% (2628 of 9148) of the total area. (3) The revegetated areas have a low PT and a high [Formula: see text] , that is, the revegetated areas need a long time to recover from disturbances. Therefore, we identify the sensitive areas with PT = 4; further management needs to be implemented for sustainable development in these areas. These results provide a method to quantify the stability and persistence of the complex interactions between vegetation greenness and environmental changes, particularly in fragile areas. MDPI 2021-01-05 /pmc/articles/PMC7796459/ /pubmed/33466482 http://dx.doi.org/10.3390/s21010315 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Zhang, Chunyan Guo, Shan Guan, Yanning Cai, Danlu Bian, Xiaolin Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title | Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title_full | Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title_fullStr | Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title_full_unstemmed | Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title_short | Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982–2013 |
title_sort | temporal stability of vegetation cover across the loess plateau based on gimms during 1982–2013 |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796459/ https://www.ncbi.nlm.nih.gov/pubmed/33466482 http://dx.doi.org/10.3390/s21010315 |
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