Ndvi dynamics and its response to climate change and reforestation in Northern China
Lin, Xingna ; Niu, Jianzhi ; Berndtsson, Ronny LU
; Yu, Xinxiao
; Zhang, Linus
LU
and Chen, Xiongwen
(2020)
In Remote Sensing
12(24).
- Abstract
Vegetation is an important component of the terrestrial ecosystem that plays an essential role in the exchange of water and energy in climate and biogeochemical cycles. This study investigated the spatiotemporal variation of normalized difference vegetation index (NDVI) in northern China using the GIMMS-MODIS NDVI during 1982–2018. We explored the dominant drivers of NDVI change using regression analyses. Results show that the regional average NDVI for northern China increased at a rate of 0.001 year−1. NDVI improved and degraded area corresponded to 36.1% and 9.7% of the total investigated area, respectively. Climate drivers were responsible for NDVI change in 46.2% of the study area, and the regional average NDVI trend in... (More)
Vegetation is an important component of the terrestrial ecosystem that plays an essential role in the exchange of water and energy in climate and biogeochemical cycles. This study investigated the spatiotemporal variation of normalized difference vegetation index (NDVI) in northern China using the GIMMS-MODIS NDVI during 1982–2018. We explored the dominant drivers of NDVI change using regression analyses. Results show that the regional average NDVI for northern China increased at a rate of 0.001 year−1. NDVI improved and degraded area corresponded to 36.1% and 9.7% of the total investigated area, respectively. Climate drivers were responsible for NDVI change in 46.2% of the study area, and the regional average NDVI trend in the region where the dominant drivers were temperature (T), precipitation (P), and the combination of precipitation and temperature (P&T), increased at a rate of 0.0028, 0.0027, and 0.0056 year−1, respectively. We conclude that P has positive dominant effects on NDVI in the subregion VIAiia, VIAiic, VIAiib, VIAib of temperate grassland region, and VIIBiia of temperate desert region in northern China. T has positive dominant effects on NDVI in the alpine vegetation region of Qinghai Tibet Plateau. NDVI is negatively dominated by T in the subregion VIIBiib, VIIBib, VIIAi, and VIIBi of temperate desert regions. Human activities affect NDVI directly by reforestation, especially in Shaanxi, Shanxi, and Hebei provinces.
(Less)
- author
- Lin, Xingna
; Niu, Jianzhi
; Berndtsson, Ronny
LU
; Yu, Xinxiao
; Zhang, Linus
LU
and Chen, Xiongwen
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Climate driver, NDVI, Reforestation area
- in
- Remote Sensing
- volume
- 12
- issue
- 24
- article number
- 4138
- pages
- 15 pages
- publisher
- MDPI AG
- external identifiers
-
- scopus:85098236631
- ISSN
- 2072-4292
- DOI
- 10.3390/rs12244138
- language
- English
- LU publication?
- yes
- id
- 2a64ec5d-f4a9-4a19-8836-4950cb025081
- date added to LUP
- 2021-01-05 14:33:01
- date last changed
- 2023-10-08 17:53:31
@article{2a64ec5d-f4a9-4a19-8836-4950cb025081,
abstract = {{<p>Vegetation is an important component of the terrestrial ecosystem that plays an essential role in the exchange of water and energy in climate and biogeochemical cycles. This study investigated the spatiotemporal variation of normalized difference vegetation index (NDVI) in northern China using the GIMMS-MODIS NDVI during 1982–2018. We explored the dominant drivers of NDVI change using regression analyses. Results show that the regional average NDVI for northern China increased at a rate of 0.001 year<sup>−1</sup>. NDVI improved and degraded area corresponded to 36.1% and 9.7% of the total investigated area, respectively. Climate drivers were responsible for NDVI change in 46.2% of the study area, and the regional average NDVI trend in the region where the dominant drivers were temperature (T), precipitation (P), and the combination of precipitation and temperature (P&T), increased at a rate of 0.0028, 0.0027, and 0.0056 year<sup>−1</sup>, respectively. We conclude that P has positive dominant effects on NDVI in the subregion VIAiia, VIAiic, VIAiib, VIAib of temperate grassland region, and VIIBiia of temperate desert region in northern China. T has positive dominant effects on NDVI in the alpine vegetation region of Qinghai Tibet Plateau. NDVI is negatively dominated by T in the subregion VIIBiib, VIIBib, VIIAi, and VIIBi of temperate desert regions. Human activities affect NDVI directly by reforestation, especially in Shaanxi, Shanxi, and Hebei provinces.</p>}},
author = {{Lin, Xingna and Niu, Jianzhi and Berndtsson, Ronny and Yu, Xinxiao and Zhang, Linus and Chen, Xiongwen}},
issn = {{2072-4292}},
keywords = {{Climate driver; NDVI; Reforestation area}},
language = {{eng}},
number = {{24}},
publisher = {{MDPI AG}},
series = {{Remote Sensing}},
title = {{Ndvi dynamics and its response to climate change and reforestation in Northern China}},
url = {{http://dx.doi.org/10.3390/rs12244138}},
doi = {{10.3390/rs12244138}},
volume = {{12}},
year = {{2020}},
}