Navigating water scarcity: rainfall considerations to optimize native vegetation growth in arid lands.
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| Title: | Navigating water scarcity: rainfall considerations to optimize native vegetation growth in arid lands. |
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| Authors: | Abdullah, Meshal M.1,2,3 (AUTHOR) m.abdullah1@squ.edu.om, Assi, Amjad T.3,4 (AUTHOR), Al-Ali, Zahraa M.3 (AUTHOR), Feagin, Rusty A.2,3,5 (AUTHOR), Al-Awadi, Talal1 (AUTHOR), Al-Naabi, Sara1 (AUTHOR), Abdullah, Mansour T.3,6 (AUTHOR), Mohan, Midhun7,8 (AUTHOR), Whisenant, Steve2 (AUTHOR) |
| Source: | Environment, Development & Sustainability. Dec2025, Vol. 27 Issue 12, p29581-29601. 21p. |
| Subject Terms: | *Rainfall periodicity, *Native plants, *Climate change, *Water shortages, *Arid regions, *Irrigation, *Plant growth |
| Geographic Terms: | Kuwait |
| Abstract: | This work focuses on quantifying favorable rainfall patterns during the rainy season to help estimate the probability of receiving maximum seasonal vegetation growth and determining favorable timing for providing supplementary irrigation. Our study was conducted within the Demilitarized Zone located on the northern side of the State of Kuwait. Landsat satellite imagery was utilized to estimate the vegetation coverage for 17 rainy years from 1991 to 2019. Later on, corresponding meteorological data was analyzed to determine the relationship between rainfall patterns and vegetation growth. This way, we estimate the probability of receiving favorable rainfall events that will result in maximum vegetation growth. The results showed a significant variation in vegetation coverage within the examined seasons, which was significantly influenced by accumulated rainfall and the number of rainfall events (P < 0.0001). Total rainfall also had a significant influence on vegetation. Thus, the frequency, distribution, and occurrence of rainfall events were found to play a vital role in accelerating vegetation growth. It was also illustrated that native vegetation was highly influenced by rainfall events received during the early stages of the season from October to November. However, the probability of obtaining favorable rainfall events was found to be low (< 5%). It was also found that the total annual rainfall significantly decreased in the past ten years, which was below the average rainfall (< 108 mm). A conceptual model of Native Desert Vegetation Rainfall Response (NDVR, Model) was presented according to the multiple lines of evidence on the vegetation-rainfall interaction. Based on the model, supplementary irrigation is recommended in the revegetation planning due to the impacts of climate change. Further studies need to be conducted to evaluate the sustainability and long-term consequences of irrigating native desert plants. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 189634415 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Navigating water scarcity: rainfall considerations to optimize native vegetation growth in arid lands. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abdullah%2C+Meshal+M%2E%22">Abdullah, Meshal M.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> m.abdullah1@squ.edu.om</i><br /><searchLink fieldCode="AR" term="%22Assi%2C+Amjad+T%2E%22">Assi, Amjad T.</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Al-Ali%2C+Zahraa+M%2E%22">Al-Ali, Zahraa M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feagin%2C+Rusty+A%2E%22">Feagin, Rusty A.</searchLink><relatesTo>2,3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Al-Awadi%2C+Talal%22">Al-Awadi, Talal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Al-Naabi%2C+Sara%22">Al-Naabi, Sara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdullah%2C+Mansour+T%2E%22">Abdullah, Mansour T.</searchLink><relatesTo>3,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohan%2C+Midhun%22">Mohan, Midhun</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Whisenant%2C+Steve%22">Whisenant, Steve</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Dec2025, Vol. 27 Issue 12, p29581-29601. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Rainfall+periodicity%22">Rainfall periodicity</searchLink><br />*<searchLink fieldCode="DE" term="%22Native+plants%22">Native plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+shortages%22">Water shortages</searchLink><br />*<searchLink fieldCode="DE" term="%22Arid+regions%22">Arid regions</searchLink><br />*<searchLink fieldCode="DE" term="%22Irrigation%22">Irrigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Plant+growth%22">Plant growth</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Kuwait%22">Kuwait</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This work focuses on quantifying favorable rainfall patterns during the rainy season to help estimate the probability of receiving maximum seasonal vegetation growth and determining favorable timing for providing supplementary irrigation. Our study was conducted within the Demilitarized Zone located on the northern side of the State of Kuwait. Landsat satellite imagery was utilized to estimate the vegetation coverage for 17 rainy years from 1991 to 2019. Later on, corresponding meteorological data was analyzed to determine the relationship between rainfall patterns and vegetation growth. This way, we estimate the probability of receiving favorable rainfall events that will result in maximum vegetation growth. The results showed a significant variation in vegetation coverage within the examined seasons, which was significantly influenced by accumulated rainfall and the number of rainfall events (P < 0.0001). Total rainfall also had a significant influence on vegetation. Thus, the frequency, distribution, and occurrence of rainfall events were found to play a vital role in accelerating vegetation growth. It was also illustrated that native vegetation was highly influenced by rainfall events received during the early stages of the season from October to November. However, the probability of obtaining favorable rainfall events was found to be low (< 5%). It was also found that the total annual rainfall significantly decreased in the past ten years, which was below the average rainfall (< 108 mm). A conceptual model of Native Desert Vegetation Rainfall Response (NDVR, Model) was presented according to the multiple lines of evidence on the vegetation-rainfall interaction. Based on the model, supplementary irrigation is recommended in the revegetation planning due to the impacts of climate change. Further studies need to be conducted to evaluate the sustainability and long-term consequences of irrigating native desert plants. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-024-04886-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 29581 Subjects: – SubjectFull: Rainfall periodicity Type: general – SubjectFull: Native plants Type: general – SubjectFull: Climate change Type: general – SubjectFull: Water shortages Type: general – SubjectFull: Arid regions Type: general – SubjectFull: Irrigation Type: general – SubjectFull: Plant growth Type: general – SubjectFull: Kuwait Type: general Titles: – TitleFull: Navigating water scarcity: rainfall considerations to optimize native vegetation growth in arid lands. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abdullah, Meshal M. – PersonEntity: Name: NameFull: Assi, Amjad T. – PersonEntity: Name: NameFull: Al-Ali, Zahraa M. – PersonEntity: Name: NameFull: Feagin, Rusty A. – PersonEntity: Name: NameFull: Al-Awadi, Talal – PersonEntity: Name: NameFull: Al-Naabi, Sara – PersonEntity: Name: NameFull: Abdullah, Mansour T. – PersonEntity: Name: NameFull: Mohan, Midhun – PersonEntity: Name: NameFull: Whisenant, Steve IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 27 – Type: issue Value: 12 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
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