Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/22017
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Allbed, Amal | en |
dc.contributor.author | Kumar, Lalit | en |
dc.contributor.author | Shabani, Farzin | en |
dc.date.accessioned | 2017-10-18T15:33:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | The Journal of Agricultural Science, 155(8), p. 1203-1218 | en |
dc.identifier.issn | 1469-5146 | en |
dc.identifier.issn | 0021-8596 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/22017 | - |
dc.description.abstract | Date palm (Phoenix dactylifera L.) is an important cash crop in many countries, including Saudi Arabia. Understanding the likely potential distribution of this crop under current and future climate scenarios will enable environmental managers to prepare appropriate strategies to manage the changes. In the current study, the simulation model CLIMEX was used to develop a niche model to estimate the impacts of climate change on the current and future potential distribution of date palm. Two global climate models (GCMs), CSIRO-Mk3.0 and MIROC-H under the A2 emission scenario for 2050 and 2100, were used to assess the impacts of climate change. A sensitivity analysis was conducted to identify which model parameters had the most effect on date palm distribution. Further refinements of the potential distributions were performed through the integration of six non-climatic parameters in a geographic information system. Areas containing suitable soil taxonomy, soil texture, soil salinity, land use, landform and slopes of <7° for date palm were selected as suitable refining variables in order to achieve more realistic models. The results from both GCMs exhibited a significant reduction in climatic suitability for date palm cultivation in Saudi Arabia by 2100. Climate sensitivity analysis indicates that the lower optimal soil moisture, cold stress temperature threshold and wet stress threshold parameters had the most effect on sensitivity, while other parameters were moderately sensitive or insensitive to change. The study also demonstrated that the inclusion of non-climatic parameters with CLIMEX outputs increased the explanatory power of the models. Such models can provide early warning scenarios for how environmental managers should respond to changes in the distribution of the date palm in Saudi Arabia. | en |
dc.language | en | en |
dc.publisher | Cambridge University Press | en |
dc.relation.ispartof | The Journal of Agricultural Science | en |
dc.title | Climate change impacts on date palm cultivation in Saudi Arabia | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1017/s0021859617000260 | en |
dc.subject.keywords | Ecological Impacts of Climate Change | en |
dc.subject.keywords | Environmental Impact Assessment | en |
local.contributor.firstname | Amal | en |
local.contributor.firstname | Lalit | en |
local.contributor.firstname | Farzin | en |
local.subject.for2008 | 050204 Environmental Impact Assessment | en |
local.subject.for2008 | 050101 Ecological Impacts of Climate Change | en |
local.subject.seo2008 | 960305 Ecosystem Adaptation to Climate Change | en |
local.subject.seo2008 | 960904 Farmland, Arable Cropland and Permanent Cropland Land Management | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | aallbed@myune.edu.au | en |
local.profile.email | lkumar@une.edu.au | en |
local.profile.email | fshaban2@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-chute-20170614-115844 | en |
local.publisher.place | United Kingdom | en |
local.format.startpage | 1203 | en |
local.format.endpage | 1218 | en |
local.identifier.scopusid | 85018367241 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 155 | en |
local.identifier.issue | 8 | en |
local.contributor.lastname | Allbed | en |
local.contributor.lastname | Kumar | en |
local.contributor.lastname | Shabani | en |
dc.identifier.staff | une-id:aallbed | en |
dc.identifier.staff | une-id:lkumar | en |
dc.identifier.staff | une-id:fshaban2 | en |
local.profile.orcid | 0000-0002-9205-756X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:22207 | en |
local.identifier.handle | https://hdl.handle.net/1959.11/22017 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Climate change impacts on date palm cultivation in Saudi Arabia | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Allbed, Amal | en |
local.search.author | Kumar, Lalit | en |
local.search.author | Shabani, Farzin | en |
local.uneassociation | Unknown | en |
local.year.published | 2017 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/a000ed1b-ff25-40ce-8996-b899dd7619c4 | en |
local.subject.for2020 | 410402 Environmental assessment and monitoring | en |
local.subject.for2020 | 410102 Ecological impacts of climate change and ecological adaptation | en |
local.subject.seo2020 | 190102 Ecosystem adaptation to climate change | en |
local.subject.seo2020 | 180607 Terrestrial erosion | en |
local.subject.seo2020 | 180603 Evaluation, allocation, and impacts of land use | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
22
checked on Feb 24, 2024
Page view(s)
1,496
checked on Sep 17, 2023
Download(s)
2
checked on Sep 17, 2023
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.