Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science
Agricultural drought causes serious harm to food security and vegetation ecosystems, and challenges the entire food-water-energy-health-environment nexus, complicating, in turn, management strategies. By building a meteorological and soil mutual-information index, this paper developed a novel method...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24014614 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576561077813248 |
|---|---|
| author | Qingzhi Wen Xinjun Tu Lei Zhou Vijay P Singh Xiaohong Chen Kairong Lin |
| author_facet | Qingzhi Wen Xinjun Tu Lei Zhou Vijay P Singh Xiaohong Chen Kairong Lin |
| author_sort | Qingzhi Wen |
| collection | DOAJ |
| description | Agricultural drought causes serious harm to food security and vegetation ecosystems, and challenges the entire food-water-energy-health-environment nexus, complicating, in turn, management strategies. By building a meteorological and soil mutual-information index, this paper developed a novel method for assessing agricultural drought from a network science perspective. The method identified the atmospheric vapor pressure deficit as the key to the information on drought propagation by the network of meteorological and hydrological elements. Results showed that the meteorological and soil mutual-information index was superior to the standardized soil moisture index in monitoring agricultural drought. The spatial propagation of information on drought led to the key source areas for the occurrence of drought. A highly clustered connectivity structure derived from the drought propagation network was demonstrated in China. Under climate scenario SSP1-26, the increase in water vapor pressure deficit was significantly suppressed, thus mitigating agricultural (and/or vegetation) drought. Under high emission scenarios SSP2-45 and SSP5-85, the mutual-information between meteorological and hydrological elements progressively increased, and this increased information to extreme agricultural drought. The information transfer that occurred under a wide range of meteorological and hydrological elements can also be applied to the mutual-information network. |
| format | Article |
| id | doaj-art-9373c92287d74d3684e1ab109fa501a0 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-9373c92287d74d3684e1ab109fa501a02025-01-31T05:10:27ZengElsevierEcological Indicators1470-160X2025-01-01170113004Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network scienceQingzhi Wen0Xinjun Tu1Lei Zhou2Vijay P Singh3Xiaohong Chen4Kairong Lin5Guangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China; Center of Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China; Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, ChinaGuangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China; Center of Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China; Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, China; Corresponding author at: Guangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China.Guangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China; Center of Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China; Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, ChinaDepartment of Biological and Agricultural Engineering, Texas A&M University, 2117, College Station, TX 77843, USA; Zachry Department of Civil & Environmental Engineering, Texas A&M University, 2117, College Station, TX 77843, USA; National Water & Energy Center, UAE University, Al Ain, United Arab EmiratesGuangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China; Center of Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China; Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, ChinaGuangdong Laboratory of Southern Ocean Science and Engineering, Zhuhai 519000, China; Center of Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China; Center of Water Security Engineering and Technology in Southern China of Guangdong, Guangzhou 510275, ChinaAgricultural drought causes serious harm to food security and vegetation ecosystems, and challenges the entire food-water-energy-health-environment nexus, complicating, in turn, management strategies. By building a meteorological and soil mutual-information index, this paper developed a novel method for assessing agricultural drought from a network science perspective. The method identified the atmospheric vapor pressure deficit as the key to the information on drought propagation by the network of meteorological and hydrological elements. Results showed that the meteorological and soil mutual-information index was superior to the standardized soil moisture index in monitoring agricultural drought. The spatial propagation of information on drought led to the key source areas for the occurrence of drought. A highly clustered connectivity structure derived from the drought propagation network was demonstrated in China. Under climate scenario SSP1-26, the increase in water vapor pressure deficit was significantly suppressed, thus mitigating agricultural (and/or vegetation) drought. Under high emission scenarios SSP2-45 and SSP5-85, the mutual-information between meteorological and hydrological elements progressively increased, and this increased information to extreme agricultural drought. The information transfer that occurred under a wide range of meteorological and hydrological elements can also be applied to the mutual-information network.http://www.sciencedirect.com/science/article/pii/S1470160X24014614Meteorological and soil mutual-information index (MSMI)Agricultural drought (AD)Spatial propagationInformation entropyNetwork scienceCMIP6 |
| spellingShingle | Qingzhi Wen Xinjun Tu Lei Zhou Vijay P Singh Xiaohong Chen Kairong Lin Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science Ecological Indicators Meteorological and soil mutual-information index (MSMI) Agricultural drought (AD) Spatial propagation Information entropy Network science CMIP6 |
| title | Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science |
| title_full | Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science |
| title_fullStr | Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science |
| title_full_unstemmed | Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science |
| title_short | Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science |
| title_sort | mutual information of meteorological soil and spatial propagation agricultural drought assessment based on network science |
| topic | Meteorological and soil mutual-information index (MSMI) Agricultural drought (AD) Spatial propagation Information entropy Network science CMIP6 |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X24014614 |
| work_keys_str_mv | AT qingzhiwen mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience AT xinjuntu mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience AT leizhou mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience AT vijaypsingh mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience AT xiaohongchen mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience AT kaironglin mutualinformationofmeteorologicalsoilandspatialpropagationagriculturaldroughtassessmentbasedonnetworkscience |