Literature DB >> 31153083

Mapping precipitation-corrected NDVI trends across Namibia.

Vladimir R Wingate1, Stuart R Phinn2, Nikolaus Kuhn3.   

Abstract

Savannas comprise a major component of the Earth system and contribute ecosystem services and functions essential to human livelihoods. Monitoring spatial and temporal trends in savanna vegetation and understanding change drivers is therefore crucial. Widespread greening has been identified across southern Africa; yet its drivers and manifestations on the ground remain ambiguous. This study removes the effects of precipitation on an NDVI time-series, thereby identifying trends not driven by rainfall. It utilizes the significant correlation between vegetation and precipitation as captured using MODIS and rainfall estimates. A linear regression between variables was used to derive its residual (corrected) time-series, and the rate and spatial extent of trends were evaluated in relation to biomes. A random sample-based qualitative interpretation of high spatial resolution imagery was then used to evaluate the nature of the trend on the ground. 23.25% of the country, including all biomes exhibited positive trends. We propose that greening may be related to a reduction in woody species richness, loss of the large trees and a shift towards drought tolerant shrub species, as has been shown in other sub-Saharan environments. 3.23% of the country exhibited negative trends, which were mostly associated with more humid (forested) regions pointing to deforestation as a cause; these manifested as vegetation clearing, identifiable using high resolution multi-temporal imagery. Greening trends could not be identified using this approach; instead, they point to the occurrence of gradual vegetation change caused by indirect drivers.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  MODIS; NDVI; Namibia; Savanna; TAMSAT; Time-series

Mesh:

Year:  2019        PMID: 31153083     DOI: 10.1016/j.scitotenv.2019.05.158

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Spatial-Temporal Evolution and Driving Forces of NDVI in China's Giant Panda National Park.

Authors:  Mengxin Pu; Yinbing Zhao; Zhongyun Ni; Zhongliang Huang; Wanlan Peng; Yi Zhou; Jingjing Liu; Yingru Gong
Journal:  Int J Environ Res Public Health       Date:  2022-05-31       Impact factor: 4.614

2.  Analysis and prediction of vegetation dynamics under the background of climate change in Xinjiang, China.

Authors:  Qingwei Zhuang; Shixin Wu; Xiaoyu Feng; Yaxuan Niu
Journal:  PeerJ       Date:  2020-01-23       Impact factor: 2.984

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.