Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010

Qian, Xiaojin; Liang, Liang; Shen, Qing; Sun, Qin; Zhang, Lianpeng; Liu, Zhixiao; Zhao, Shuang; Qin, Zhihao

doi:10.1007/s10661-016-5657-9

Cited by 48 publications

(41 citation statements)

References 18 publications

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“…Artificial irrigation should relieve the damage caused by drought on the cropland [15,28,53]. Furthermore, given that about 71.8%-75.5% of annual precipitation in Korean Peninsula occurred in the monsoon rainy season (June to September), the river water reservoir will be more critical in agricultural management [54].…”

Section: Discussionmentioning

confidence: 99%

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

et al. 2019

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Satellite-based remote sensing techniques have been widely used to monitor droughts spanning large areas. Various agricultural drought indices have been developed to assess the intensity of agricultural drought and to detect damaged crop areas. However, to better understand the responses of agricultural drought to meteorological drought, agricultural management practices should be taken into consideration. This study aims to evaluate the responses to drought under different forms of agricultural management for the extreme drought that occurred on the Korean Peninsula in 2014 and 2015. The 3-month standardized precipitation index (SPI3) and the 3-month vegetation health index (VHI3) were selected as a meteorological drought index and an agricultural drought index, respectively. VHI3, which comprises the 3-month temperature condition index (TCI3) and the 3-month vegetation condition index (VCI3), differed significantly in the study area during the extreme drought. VCI3 had a different response to the lack of precipitation in South and North Korea because it was affected by irrigation. However, the time series of TCI3 were similar in South and North Korea. These results meant that each drought index has different characteristics and should be utilized with caution. Our results are expected to help comprehend the responses of the agricultural drought index on meteorological drought depending on agricultural management.

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Section: Discussionmentioning

confidence: 99%

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

et al. 2019

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“…Drought is a serious natural disaster that severely impacts both the social economy and people's lives (Dai 2011, Qian et al 2016. We can understand how drought changes over time by drought assessment.…”

Section: Discussionmentioning

confidence: 99%

Long‐term spatial and temporal variations of vegetative drought based on vegetation condition index in China

et al. 2017

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Abstract. Information concerning the spatial and temporal characteristics of vegetative drought is essential for decision-making and for many environmental and agricultural applications. This study presents a comprehensive spatio-temporal analysis of vegetative drought conditions that used the vegetation condition index (VCI) data product obtained from NOAA/AVHRR (National Oceanic and Atmospheric Administration/Advanced Very High Resolution Radiometer) to reveal the vegetative drought patterns across China from 1981 to 2015. Considering the characteristics of VCI as drought indicators, multiple methods were designed for these analyses, including drought frequency analysis, trend analysis, anomaly index analysis, and Mann-Kendall testing. The results show that China is a country with high vegetative drought frequency, but that most areas experienced only slight or moderate periods of drought. In addition, drought has obvious seasonal and geographical differences and occurs with greater frequencies in regions that are highly affected by monsoons such as the northern and southern regions-particularly in the spring and autumn. In contrast, vegetative drought frequencies in regions less affected by monsoons such as the Tibetan Plateau and the northwestern regions were much lower except in northern Sinkiang, eastern Inner Mongolia, and southern Tibet. During 1981-2015, the VCI had an increasing trend in most areas of China (except in the southern region, where it decreased), indicating a reduced frequency of vegetative drought throughout the country. Moreover, the trend was wavelike rather than a one-way change and could be divided into four phases: (1) a slowly increasing phase from 1981 to 1990, (2) an intensively fluctuating phase from 1991 to 2000, (3) a steadily increasing phase from 2001 to 2010, and (4) a slowly decreasing phase after 2010. Mann-Kendall analysis further suggested that upward trends of the VCI were more evident in spring and autumn than in summer and that both trends mutated in 1997. Specifically, the trend reached the 0.05 level of significance in the spring.

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“…This study used vegetation fractional coverage (VFC) as the vegetation factor. With RS data, thematic maps of vegetation indices can be obtained [38][39][40][41][42][43]. In this study, the data mainly contained the outliers removed normalized difference vegetation index (NDVI) based on the Landsat 8 OLI data from 2015 to 2017, which were obtained from the Geospatial Data Cloud.…”

Section: Species Occurrence Data Collectionmentioning

confidence: 99%

Habitat Suitability Evaluation of the Chinese Horseshoe Bat (<i>R. sinicus</i>) in the Wuling Mountain Area Based on MAXENT Modelling

Luo¹,

Liang²,

Liu³

et al. 2020

Pol. J. Environ. Stud.

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The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Maximum Entropy Model (MAXENT model) were used to analyse the habitat suitability of R. sinicus, and the receiver operating characteristic (ROC) curve was used to evaluate the models. The results showed that both models had high prediction accuracy, but the results of the MAXENT model were more stable than those of the binary logistic regression model when the sample size changed, indicating that the MAXENT model was the optimal method. Thena jack-knife test was used to determine the importance of the influencing factors. The results showed that the main factors influencing habitat selection were annual mean temperature, annual precipitation, the nearest distance from a settlement and vegetation fractional coverage (VFC). The suitable habitat was mainly distributed in the middle region of the study area. Marginally suitable habitat was located on the edge of suitable habitat, and unsuitable habitats were mainly distributed in the southern and northwestern regions.

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Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010

Cited by 48 publications

References 18 publications

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

Long‐term spatial and temporal variations of vegetative drought based on vegetation condition index in China

Habitat Suitability Evaluation of the Chinese Horseshoe Bat (<i>R. sinicus</i>) in the Wuling Mountain Area Based on MAXENT Modelling

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