Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang, China

Yao, Junqiang; Chen, Yaning; Zhao, Yong; Mao, Weiyi; Xu, Xinbing; Liu, Yang; Yang, Qing

doi:10.1007/s00704-017-2058-0

Cited by 75 publications

(49 citation statements)

References 56 publications

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“…Furthermore, aggravated droughts occurred frequently after 1997, and the frequency of drought increased manyfold after the change, along with a temperature rise (1.1 • C) in Xinjiang [49]. This result is coherent with significant decreases in vegetation NDVI and soil moisture loss in Xinjiang after 1997 [19]. Li et al [26] also found a drying trend over central Asia during the past decade (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014).…”

Section: Discussionmentioning

confidence: 78%

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Identification of Drought Events and Correlations with Large-Scale Ocean–Atmospheric Patterns of Variability: A Case Study in Xinjiang, China

et al. 2019

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This research analyzed the spatiotemporal patterns of drought in Xinjiang (northwestern China) between 1961 and 2015 using the standardized precipitation evapotranspiration index (SPEI). Furthermore, the correlations between Atlantic Multidecadal Oscillation (AMO)/El Niño–Southern Oscillation (ENSO) events and drought were explored. The results suggested an obvious trend toward aggravated drought, with a significant inflection point in 1997, after which the frequency of drought increased sharply. Spatially, the increase in drought occurred largely in southern and eastern Xinjiang, where occurrences of moderate and extreme drought have become more frequent during the last two decades, whereas northwestern Xinjiang and the Pamir Plateau showed wetting trends. Empirical orthogonal function analysis (EOF) of drought patterns showed a north–south antiphase and an east–west antiphase distribution. The positive (negative) phase of the AMO was related to increased (decreased) drought in Xinjiang, particularly after 1997. During a warm phase (El Niño), major droughts occurred over northern Xinjiang, but they lagged by 12 months. However, not all El Niño and La Niña events were responsible for drought events in northern Xinjiang during this period, and other drivers remain to be identified. This study suggests the possibility of AMO and ENSO links to drought in Xinjiang, but further analysis is needed to better understand such mechanisms.

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Section: Discussionmentioning

confidence: 78%

“…A climatic transition from warm-dry to warm-wet has been reported in Xinjiang based on observed data [17]. Most evidence for hydroclimatic and environmental change in Xinjiang has given strong support to this observation [18][19][20][21]. Dramatic changes in climatic conditions can bring about adverse effects, and drought is one of them.…”

Section: Introductionmentioning

confidence: 90%

Identification of Drought Events and Correlations with Large-Scale Ocean–Atmospheric Patterns of Variability: A Case Study in Xinjiang, China

et al. 2019

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“…Shi et al (2002) found a climatic transition from warmdry to warm-wet in Xinjiang in the early 21 st century based on observed data. Most evidence for hydroclimatic and environmental change in Xinjiang since then has strongly supported this Manuscript to be reviewed observation (Shi et al, 2003;Shi et al, 2007;Zhao et al, 2009;Xu et al, 2010;Li et al, 2011;Li et al, 2012;Li et al, 2013;Yao et al, 2017). Fang et al (2013) Xinjiang have lessened in recent years.…”

Section: Discussionmentioning

confidence: 83%

Peer Review #3 of "Spatial-temporal variation and impacts of drought in Xinjiang (Northwest China) during 1961–2015 (v0.1)"

2018

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Observations indicate that temperature and precipitation patterns changed dramatically in Xinjiang, northwestern China, between 1961 and 2015. Dramatic changes in climatic conditions can bring about adverse effects. Specifically, meteorological drought severity based on the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI) showed a decreasing trend in Xinjiang prior to 1997, after which the trend reversed. SPEI-based drought severity shows a much stronger change during 1997-2015 than the SPI, which is independent of the effect of evaporative demand. Meteorological drought severity has been aggravated by a significant rise in temperature (1.1°C) over the last two decades that has not been accompanied by a corresponding increase in precipitation. As a result, the evaporative demand in Xinjiang has risen. An examination of a large spatio-temporal extent has made the aggravated drought conditions more evident. Our results indicate that increased meteorological drought severity has had a direct effect on the normalized difference vegetation index (NDVI) and river discharge. The NDVI exhibited a significant decrease during the period 1998-2013 compared to 1982-1997, a decrease that was found to be caused by increased soil moisture loss. A positive relationship was recorded between evaporative demand and the runoff coefficients of the 68 inland river catchments in northwestern China. In the future, meteorological drought severity will likely increase in arid and semiarid regions as global warming continues.

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“…The Xinjiang Uygur Autonomous Region, one of the driest regions on the earth, is located in Northwestern China and the hinterland of the Eurasian continent [51]. The surface landscape includes the Tianshan Mountains, Altai Mountains, and the Kunlun mountains, which are seperated by two vast desert basins, the Tarim Basin, and the Junggar Basin [52].…”

Section: Study Areamentioning

confidence: 99%

A New Remote Sensing Dryness Index Based on the Near-Infrared and Red Spectral Space

Zhang

Bao

et al. 2019

Remote Sensing

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Soil moisture, as a crucial indicator of dryness, is an important research topic for dryness monitoring. In this study, we propose a new remote sensing dryness index for measuring soil moisture from spectral space. We first established a spectral space with remote sensing reflectance data at the near-infrared (NIR) and red (R) bands. Considering the distribution regularities of soil moisture in this space, we formulated the Ratio Dryness Monitoring Index (RDMI) as a new dryness monitoring indicator. We compared RDMI values with in situ soil moisture content data measured at 0–10 cm depth. Results showed that there was a strong negative correlation (R = −0.89) between the RDMI values and in situ soil moisture content. We further compared RDMI with existing remote sensing dryness indices, and the results demonstrated the advantages of the RDMI. We applied the RDMI to the Landsat-8 imagery to map dryness distribution around the Fukang area on the Northern slope of the Tianshan Mountains, and to the MODIS imagery to detect the spatial and temporal changes in dryness for the entire Xinjiang in 2013 and 2014. Overall, the RDMI index constructed, based on the NIR–Red spectral space, is simple to calculate, easy to understand, and can be applied to dryness monitoring at different scales.

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Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang, China

Cited by 75 publications

References 56 publications

Identification of Drought Events and Correlations with Large-Scale Ocean–Atmospheric Patterns of Variability: A Case Study in Xinjiang, China

Identification of Drought Events and Correlations with Large-Scale Ocean–Atmospheric Patterns of Variability: A Case Study in Xinjiang, China

Peer Review #3 of "Spatial-temporal variation and impacts of drought in Xinjiang (Northwest China) during 1961–2015 (v0.1)"

A New Remote Sensing Dryness Index Based on the Near-Infrared and Red Spectral Space

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