A novel index for ecological drought monitoring based on ecological water deficit

Although the concept of ecological drought was first defined by the Science for Nature and People Partnership (SNAPP) in 2016, there remains no widely accepted ecological drought monitoring index. Therefore, this study constructed a new ecological drought index, the standardized ecological water def...

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Autores principales:	Tianliang Jiang, Xiaoling Su, Vijay P. Singh, Gengxi Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ecological drought Vegetation index Remote sensing Rotational empirical orthogonal function Northwestern China Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/f97fb95d571b4b73aed65b1c81b880a8
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spelling	oai:doaj.org-article:f97fb95d571b4b73aed65b1c81b880a82021-12-01T04:53:48ZA novel index for ecological drought monitoring based on ecological water deficit1470-160X10.1016/j.ecolind.2021.107804https://doaj.org/article/f97fb95d571b4b73aed65b1c81b880a82021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004696https://doaj.org/toc/1470-160XAlthough the concept of ecological drought was first defined by the Science for Nature and People Partnership (SNAPP) in 2016, there remains no widely accepted ecological drought monitoring index. Therefore, this study constructed a new ecological drought index, the standardized ecological water deficit index (SEWDI). The SEWDI is based on the difference between ecological water requirement and consumption, referred to as the standardized precipitation index (SPI) method, which was used to monitor ecological drought in Northwestern China (NWRC). The performance of the SEWDI was compared with that of other widely–used drought indices, including standardized root soil moisture index (SSI), self–calibrated Palmer drought index (scPDSI), standardized precipitation–evaporation drought index (SPEI), and SPI, using the Pearson correlations between these indices and standardized normalized difference vegetation index (SNDVI) under different time scales, wetness and water use efficiencies (WUE) of vegetation. The SEWDI at a 12–month scale was decomposed in NWRC during 1982–2015 using the rotational empirical orthogonal function (REOF) in order to demarcate five ecological drought regions, including southeastern sub–region (SE), southwestern sub–region (SW), northwestern sub–region (NW), northeastern sub–region (NE), and central sub–region (CT). The characteristics of ecological drought in NWRC, such as intensity, duration, and frequency, were extracted using the run theory. The return periods of five types of drought were calculated using wavelet analysis. Results showed that the performance of SEWDI in monitoring ecological drought was the best among the drought indices under different time scales, and the 12–month–scale was largely unaffected by wetness and WUE. Results of monitoring indicated that serious ecological droughts in the NWRC mainly occurred in 1982–1986, 1990–1996, and 2005–2010, primarily in SE, SW, and CT, SW and NE, and NW, NE, and CT, respectively. Furthermore, SEWDI in the arid SW, NW and CT showed a longer return period compared to that in the humid NE and SE, and the evolution of ecological drought in arid regions was mainly influenced by meteorological drought and the scarcity of root soil moisture. This study provides ant approach for quantifying ecological drought severity across natural vegetation areas which can be employed by decision makersTianliang JiangXiaoling SuVijay P. SinghGengxi ZhangElsevierarticleEcological droughtVegetation indexRemote sensingRotational empirical orthogonal functionNorthwestern ChinaEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107804- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ecological drought Vegetation index Remote sensing Rotational empirical orthogonal function Northwestern China Ecology QH540-549.5
spellingShingle	Ecological drought Vegetation index Remote sensing Rotational empirical orthogonal function Northwestern China Ecology QH540-549.5 Tianliang Jiang Xiaoling Su Vijay P. Singh Gengxi Zhang A novel index for ecological drought monitoring based on ecological water deficit
description	Although the concept of ecological drought was first defined by the Science for Nature and People Partnership (SNAPP) in 2016, there remains no widely accepted ecological drought monitoring index. Therefore, this study constructed a new ecological drought index, the standardized ecological water deficit index (SEWDI). The SEWDI is based on the difference between ecological water requirement and consumption, referred to as the standardized precipitation index (SPI) method, which was used to monitor ecological drought in Northwestern China (NWRC). The performance of the SEWDI was compared with that of other widely–used drought indices, including standardized root soil moisture index (SSI), self–calibrated Palmer drought index (scPDSI), standardized precipitation–evaporation drought index (SPEI), and SPI, using the Pearson correlations between these indices and standardized normalized difference vegetation index (SNDVI) under different time scales, wetness and water use efficiencies (WUE) of vegetation. The SEWDI at a 12–month scale was decomposed in NWRC during 1982–2015 using the rotational empirical orthogonal function (REOF) in order to demarcate five ecological drought regions, including southeastern sub–region (SE), southwestern sub–region (SW), northwestern sub–region (NW), northeastern sub–region (NE), and central sub–region (CT). The characteristics of ecological drought in NWRC, such as intensity, duration, and frequency, were extracted using the run theory. The return periods of five types of drought were calculated using wavelet analysis. Results showed that the performance of SEWDI in monitoring ecological drought was the best among the drought indices under different time scales, and the 12–month–scale was largely unaffected by wetness and WUE. Results of monitoring indicated that serious ecological droughts in the NWRC mainly occurred in 1982–1986, 1990–1996, and 2005–2010, primarily in SE, SW, and CT, SW and NE, and NW, NE, and CT, respectively. Furthermore, SEWDI in the arid SW, NW and CT showed a longer return period compared to that in the humid NE and SE, and the evolution of ecological drought in arid regions was mainly influenced by meteorological drought and the scarcity of root soil moisture. This study provides ant approach for quantifying ecological drought severity across natural vegetation areas which can be employed by decision makers
format	article
author	Tianliang Jiang Xiaoling Su Vijay P. Singh Gengxi Zhang
author_facet	Tianliang Jiang Xiaoling Su Vijay P. Singh Gengxi Zhang
author_sort	Tianliang Jiang
title	A novel index for ecological drought monitoring based on ecological water deficit
title_short	A novel index for ecological drought monitoring based on ecological water deficit
title_full	A novel index for ecological drought monitoring based on ecological water deficit
title_fullStr	A novel index for ecological drought monitoring based on ecological water deficit
title_full_unstemmed	A novel index for ecological drought monitoring based on ecological water deficit
title_sort	novel index for ecological drought monitoring based on ecological water deficit
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f97fb95d571b4b73aed65b1c81b880a8
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A novel index for ecological drought monitoring based on ecological water deficit

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