Literature DB >> 29100696

Long-term trend and correlation between vegetation greenness and climate variables in Asia based on satellite data.

Munkhnasan Lamchin1, Woo-Kyun Lee2, Seong Woo Jeon1, Sonam Wangyel Wang1, Chul Hee Lim1, Cholho Song1, Minjun Sung1.   

Abstract

Satellite data has been used to ascertain trends and correlations between climate change and vegetation greenness in Asia. Our study utilized 33-year (1982-2014) AVHRR-GIMMS (Advanced Very High Resolution Radiometer - Global Inventory Modelling and Mapping Studies) NDVI3g and CRU TS (Climatic Research Unit Time Series) climate variable (temperature, rainfall, and potential evapotranspiration) time series. First, we estimated the overall trends for vegetation greenness, climate variables and analyzed trends during summer (April to October), winter (November to March), and the entire year. Second, we carried out correlation and regression analyses to detect correlations between vegetation greenness and climate variables. Our study revealed an increasing trend (0.05 to 0.28) in temperature in northeastern India (bordering Bhutan), Southeast Bhutan, Yunnan Province of China, Northern Myanmar, Central Cambodia, northern Laos, southern Vietnam, eastern Iran, southern Afghanistan, and southern Pakistan. However, a decreasing trend in temperature (0.00 to -0.04) was noted for specific areas in southern Asia including Central Myanmar and northwestern Thailand and the Guangxi, Southern Gansu, and Shandong provinces of China. The results also indicated an increasing trend for evapotranspiration and air temperature accompanied by a decreasing trend for vegetation greenness and rainfall. The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship (R=0.84-0.96).
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Correlation; Evaporation; Precipitation; Temperature; Trend; Vegetation greenness

Mesh:

Year:  2018        PMID: 29100696     DOI: 10.1016/j.scitotenv.2017.09.145

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


  5 in total

1.  Corrigendum to "Mann-Kendall Monotonic Trend Test and Correlation Analysis using Spatio-temporal Dataset: the case of Asia using vegetation greenness and climate factors" [MethodsX 5 (2018) 803-807].

Authors:  Munkhnasan Lamchin; Woo-Kyun Lee; Seong Woo Jeon; Sonam Wangyel Wang; Chul-Hee Lim; Cholho Song; Minjun Sung
Journal:  MethodsX       Date:  2019-06-14

2.  Spatiotemporal changes in vegetation coverage and its causes in China since the Chinese economic reform.

Authors:  Jiaqiang Du; Zhanjun Quan; Shifeng Fang; Chengcheng Liu; Jinhua Wu; Qing Fu
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-09       Impact factor: 4.223

3.  Evaluating the performance of multivariate indicators of resilience loss.

Authors:  Els Weinans; Rick Quax; Egbert H van Nes; Ingrid A van de Leemput
Journal:  Sci Rep       Date:  2021-04-28       Impact factor: 4.379

4.  Desertification of Iran in the early twenty-first century: assessment using climate and vegetation indices.

Authors:  Hadi Eskandari Dameneh; Hamid Gholami; Matt W Telfer; Jesús Rodrigo Comino; Adrian L Collins; John D Jansen
Journal:  Sci Rep       Date:  2021-10-15       Impact factor: 4.379

5.  Assessment of Climate Change and Human Activities on Vegetation Development in Northeast China.

Authors:  Lin Xue; Martin Kappas; Daniel Wyss; Chaoqun Wang; Birgitta Putzenlechner; Nhung Pham Thi; Jiquan Chen
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.