Suitability of assimilated data-based standardized soil moisture index for agricultural drought monitoring
Drought is a recurring extreme climate event. Frequent droughts have serious impacts on agriculture and threaten food security. The Huang-Huai-Hai(HHH) Plain is one of the most important food-producing areas in China, and agricultural drought is one of the main factors leading to the decline of grai...
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| Veröffentlicht in: | Sheng tai xue bao 2019-01, Vol.39 (6), p.2191 |
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| creator | Zhou, Hongkui Wu, Jianjun Li, Xiaohan Liu, Leizhen Yang, Jianhua Han, Xinyi |
| description | Drought is a recurring extreme climate event. Frequent droughts have serious impacts on agriculture and threaten food security. The Huang-Huai-Hai(HHH) Plain is one of the most important food-producing areas in China, and agricultural drought is one of the main factors leading to the decline of grain production in this region. Therefore, accurate and effective agricultural drought monitoring is of great significance to develop disaster mitigation strategies and reduce disaster losses. The standardized soil moisture index(SSMI) is an agricultural drought index based on historical soil moisture time series. Currently, the suitability of SSMI for monitoring agricultural drought is scarce. In previous studies, an agricultural drought index was mainly evaluated by comparisons with other commonly used drought indices or meteorological elements. Only a few studies considered the drought disaster records and the impact of drought on crop yield. In this study, the SSMI was established by using the assimilated root zone soil moisture to monitor agricultural drought in the HHH Plain. The SSMI-based results showed that several drought events occurred between 2002 and 2010. Of these droughts, the moderate or extreme droughts occurred in 2002, 2004, and 2006, matching well with the reality. Subsequently, the suitability of the SSMI was evaluated by comparing with the standardized precipitation-evapotranspiration index(SPEI), agricultural drought records, and winter wheat yield. The results showed that the average correlation coefficient between the SSMI and SPEI was 0.52, indicating a significant correlation(P |
| doi_str_mv | 10.5846/stxb201801190153 |
| format | Article |
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Frequent droughts have serious impacts on agriculture and threaten food security. The Huang-Huai-Hai(HHH) Plain is one of the most important food-producing areas in China, and agricultural drought is one of the main factors leading to the decline of grain production in this region. Therefore, accurate and effective agricultural drought monitoring is of great significance to develop disaster mitigation strategies and reduce disaster losses. The standardized soil moisture index(SSMI) is an agricultural drought index based on historical soil moisture time series. Currently, the suitability of SSMI for monitoring agricultural drought is scarce. In previous studies, an agricultural drought index was mainly evaluated by comparisons with other commonly used drought indices or meteorological elements. Only a few studies considered the drought disaster records and the impact of drought on crop yield. In this study, the SSMI was established by using the assimilated root zone soil moisture to monitor agricultural drought in the HHH Plain. The SSMI-based results showed that several drought events occurred between 2002 and 2010. Of these droughts, the moderate or extreme droughts occurred in 2002, 2004, and 2006, matching well with the reality. Subsequently, the suitability of the SSMI was evaluated by comparing with the standardized precipitation-evapotranspiration index(SPEI), agricultural drought records, and winter wheat yield. The results showed that the average correlation coefficient between the SSMI and SPEI was 0.52, indicating a significant correlation(P<0.001). As a whole, the SSMI and SPEI showed good agreement, which could accurately identify large-scale agricultural droughts. From a regional perspective, the SSMI could effectively track drought occurrence, evolution, and mitigation. The comparisons at site scales showed that the SSMI-based drought results were consistent with the drought records of agro-meteorological sites, and the SSMI could accurately monitor the intensity of agricultural drought. Crop yield is the ultimate performance of the crops affected by drought, and the relationship between the drought index and crop yield is an important aspect of testing the effectiveness of a drought index. We observed that the SSMI was closely related to the winter wheat yield loss ratio, and the SSMI-based drought areas generally existed in accordance with the statistical data-based yield reduction areas. To some extent, the SSMI provided an indication of the drought-induced yield reduction. In summary, the assimilated data-based SSMI could effectively reflect the drought conditions in the HHH Plain, and it was highly appropriate to use the SSMI to monitor agricultural drought. This study will facilitate the operational soil moisture-based agricultural drought monitoring and provide a scientific reference for drought prevention and mitigation in the HHH Plain.</description><identifier>ISSN: 1000-0933</identifier><identifier>DOI: 10.5846/stxb201801190153</identifier><language>chi</language><publisher>Beijing: Science Press</publisher><subject>Agricultural drought ; Agricultural management ; Agricultural production ; Correlation coefficient ; Correlation coefficients ; Crop yield ; Crops ; Disaster management ; Disasters ; Drought ; Drought index ; Environmental impact ; Environmental monitoring ; Evapotranspiration ; Food ; Food security ; Mitigation ; Moisture index ; Precipitation ; Reduction ; Root zone ; Soil moisture ; Triticum aestivum ; Wheat ; Winter wheat</subject><ispartof>Sheng tai xue bao, 2019-01, Vol.39 (6), p.2191</ispartof><rights>Copyright Science Press 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c186t-503fc01027270ff6dd67f65fee5e9835c4216c88b5ef3763be07fce274e42ca23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Zhou, Hongkui</creatorcontrib><creatorcontrib>Wu, Jianjun</creatorcontrib><creatorcontrib>Li, Xiaohan</creatorcontrib><creatorcontrib>Liu, Leizhen</creatorcontrib><creatorcontrib>Yang, Jianhua</creatorcontrib><creatorcontrib>Han, Xinyi</creatorcontrib><title>Suitability of assimilated data-based standardized soil moisture index for agricultural drought monitoring</title><title>Sheng tai xue bao</title><description>Drought is a recurring extreme climate event. Frequent droughts have serious impacts on agriculture and threaten food security. The Huang-Huai-Hai(HHH) Plain is one of the most important food-producing areas in China, and agricultural drought is one of the main factors leading to the decline of grain production in this region. Therefore, accurate and effective agricultural drought monitoring is of great significance to develop disaster mitigation strategies and reduce disaster losses. The standardized soil moisture index(SSMI) is an agricultural drought index based on historical soil moisture time series. Currently, the suitability of SSMI for monitoring agricultural drought is scarce. In previous studies, an agricultural drought index was mainly evaluated by comparisons with other commonly used drought indices or meteorological elements. Only a few studies considered the drought disaster records and the impact of drought on crop yield. In this study, the SSMI was established by using the assimilated root zone soil moisture to monitor agricultural drought in the HHH Plain. The SSMI-based results showed that several drought events occurred between 2002 and 2010. Of these droughts, the moderate or extreme droughts occurred in 2002, 2004, and 2006, matching well with the reality. Subsequently, the suitability of the SSMI was evaluated by comparing with the standardized precipitation-evapotranspiration index(SPEI), agricultural drought records, and winter wheat yield. The results showed that the average correlation coefficient between the SSMI and SPEI was 0.52, indicating a significant correlation(P<0.001). As a whole, the SSMI and SPEI showed good agreement, which could accurately identify large-scale agricultural droughts. From a regional perspective, the SSMI could effectively track drought occurrence, evolution, and mitigation. The comparisons at site scales showed that the SSMI-based drought results were consistent with the drought records of agro-meteorological sites, and the SSMI could accurately monitor the intensity of agricultural drought. Crop yield is the ultimate performance of the crops affected by drought, and the relationship between the drought index and crop yield is an important aspect of testing the effectiveness of a drought index. We observed that the SSMI was closely related to the winter wheat yield loss ratio, and the SSMI-based drought areas generally existed in accordance with the statistical data-based yield reduction areas. To some extent, the SSMI provided an indication of the drought-induced yield reduction. In summary, the assimilated data-based SSMI could effectively reflect the drought conditions in the HHH Plain, and it was highly appropriate to use the SSMI to monitor agricultural drought. This study will facilitate the operational soil moisture-based agricultural drought monitoring and provide a scientific reference for drought prevention and mitigation in the HHH Plain.</description><subject>Agricultural drought</subject><subject>Agricultural management</subject><subject>Agricultural production</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Disaster management</subject><subject>Disasters</subject><subject>Drought</subject><subject>Drought index</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Evapotranspiration</subject><subject>Food</subject><subject>Food security</subject><subject>Mitigation</subject><subject>Moisture index</subject><subject>Precipitation</subject><subject>Reduction</subject><subject>Root zone</subject><subject>Soil moisture</subject><subject>Triticum aestivum</subject><subject>Wheat</subject><subject>Winter wheat</subject><issn>1000-0933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpdkE1LxDAQhnNQcF29ewx4rk6SJmmPsvgFCx7Uc0nzUVPaZk1S2PXX22U9eZp3Xh5m4EHohsAdr0pxn_K-pUAqIKQGwtkZWhEAKKBm7AJdptQDMCCsXqH-ffZZtX7w-YCDwyolP_pBZWuwUVkVrUpLTFlNRkXjf45L8AMeg095jhb7ydg9diFi1UWv52Fp1YBNDHP3lRdu8jlEP3VX6NypIdnrv7lGn0-PH5uXYvv2_Lp52BaaVCIXHJjTQIBKKsE5YYyQTnBnLbd1xbguKRG6qlpuHZOCtRak05bK0pZUK8rW6PZ0dxfD92xTbvowx2l52VBacsEFkeVCwYnSMaQUrWt20Y8qHhoCzdFi898i-wU62mp8</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Zhou, Hongkui</creator><creator>Wu, Jianjun</creator><creator>Li, Xiaohan</creator><creator>Liu, Leizhen</creator><creator>Yang, Jianhua</creator><creator>Han, Xinyi</creator><general>Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20190101</creationdate><title>Suitability of assimilated data-based standardized soil moisture index for agricultural drought monitoring</title><author>Zhou, Hongkui ; Wu, Jianjun ; Li, Xiaohan ; Liu, Leizhen ; Yang, Jianhua ; Han, Xinyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c186t-503fc01027270ff6dd67f65fee5e9835c4216c88b5ef3763be07fce274e42ca23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2019</creationdate><topic>Agricultural drought</topic><topic>Agricultural management</topic><topic>Agricultural production</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Disaster management</topic><topic>Disasters</topic><topic>Drought</topic><topic>Drought index</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Evapotranspiration</topic><topic>Food</topic><topic>Food security</topic><topic>Mitigation</topic><topic>Moisture index</topic><topic>Precipitation</topic><topic>Reduction</topic><topic>Root zone</topic><topic>Soil moisture</topic><topic>Triticum aestivum</topic><topic>Wheat</topic><topic>Winter wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Hongkui</creatorcontrib><creatorcontrib>Wu, Jianjun</creatorcontrib><creatorcontrib>Li, Xiaohan</creatorcontrib><creatorcontrib>Liu, Leizhen</creatorcontrib><creatorcontrib>Yang, Jianhua</creatorcontrib><creatorcontrib>Han, Xinyi</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Sheng tai xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Hongkui</au><au>Wu, Jianjun</au><au>Li, Xiaohan</au><au>Liu, Leizhen</au><au>Yang, Jianhua</au><au>Han, Xinyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Suitability of assimilated data-based standardized soil moisture index for agricultural drought monitoring</atitle><jtitle>Sheng tai xue bao</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>39</volume><issue>6</issue><spage>2191</spage><pages>2191-</pages><issn>1000-0933</issn><abstract>Drought is a recurring extreme climate event. Frequent droughts have serious impacts on agriculture and threaten food security. The Huang-Huai-Hai(HHH) Plain is one of the most important food-producing areas in China, and agricultural drought is one of the main factors leading to the decline of grain production in this region. Therefore, accurate and effective agricultural drought monitoring is of great significance to develop disaster mitigation strategies and reduce disaster losses. The standardized soil moisture index(SSMI) is an agricultural drought index based on historical soil moisture time series. Currently, the suitability of SSMI for monitoring agricultural drought is scarce. In previous studies, an agricultural drought index was mainly evaluated by comparisons with other commonly used drought indices or meteorological elements. Only a few studies considered the drought disaster records and the impact of drought on crop yield. In this study, the SSMI was established by using the assimilated root zone soil moisture to monitor agricultural drought in the HHH Plain. The SSMI-based results showed that several drought events occurred between 2002 and 2010. Of these droughts, the moderate or extreme droughts occurred in 2002, 2004, and 2006, matching well with the reality. Subsequently, the suitability of the SSMI was evaluated by comparing with the standardized precipitation-evapotranspiration index(SPEI), agricultural drought records, and winter wheat yield. The results showed that the average correlation coefficient between the SSMI and SPEI was 0.52, indicating a significant correlation(P<0.001). As a whole, the SSMI and SPEI showed good agreement, which could accurately identify large-scale agricultural droughts. From a regional perspective, the SSMI could effectively track drought occurrence, evolution, and mitigation. The comparisons at site scales showed that the SSMI-based drought results were consistent with the drought records of agro-meteorological sites, and the SSMI could accurately monitor the intensity of agricultural drought. Crop yield is the ultimate performance of the crops affected by drought, and the relationship between the drought index and crop yield is an important aspect of testing the effectiveness of a drought index. We observed that the SSMI was closely related to the winter wheat yield loss ratio, and the SSMI-based drought areas generally existed in accordance with the statistical data-based yield reduction areas. To some extent, the SSMI provided an indication of the drought-induced yield reduction. In summary, the assimilated data-based SSMI could effectively reflect the drought conditions in the HHH Plain, and it was highly appropriate to use the SSMI to monitor agricultural drought. This study will facilitate the operational soil moisture-based agricultural drought monitoring and provide a scientific reference for drought prevention and mitigation in the HHH Plain.</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.5846/stxb201801190153</doi></addata></record> |
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| subjects | Agricultural drought Agricultural management Agricultural production Correlation coefficient Correlation coefficients Crop yield Crops Disaster management Disasters Drought Drought index Environmental impact Environmental monitoring Evapotranspiration Food Food security Mitigation Moisture index Precipitation Reduction Root zone Soil moisture Triticum aestivum Wheat Winter wheat |
| title | Suitability of assimilated data-based standardized soil moisture index for agricultural drought monitoring |
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