Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29087
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dc.contributor.authorWillcox, Bryony Ken
dc.contributor.authorRobson, Andrew Jen
dc.contributor.authorHowlett, Brad Gen
dc.contributor.authorRader, Rominaen
dc.date.accessioned2020-07-17T01:42:31Z-
dc.date.available2020-07-17T01:42:31Z-
dc.date.issued2018-10-19-
dc.identifier.citationPeerJ, v.6, p. 1-17en
dc.identifier.issn2167-8359en
dc.identifier.urihttps://hdl.handle.net/1959.11/29087-
dc.description.abstractInsect pollinators provide an essential ecosystem service by transferring pollen to crops and native vegetation. The extent to which pollinator communities vary both spatially and temporally has important implications for ecology, conservation and agricultural production. However, understanding the complex interactions that determine pollination service provisioning and production measures over space and time has remained a major challenge. Remote sensing technologies (RST), including satellite, airborne and ground based sensors, are effective tools for measuring the spatial and temporal variability of vegetation health, diversity and productivity within natural and modified systems. Yet while there are synergies between remote sensing science, pollination ecology and agricultural production, research communities have only recently begun to actively connect these research areas. Here, we review the utility of RST in advancing crop pollination research and highlight knowledge gaps and future research priorities. We found that RST are currently used across many different research fields to assess changes in plant health and production (agricultural production) and to monitor and evaluate changes in biodiversity across multiple landscape types (ecology and conservation). In crop pollination research, the use of RST are limited and largely restricted to quantifying remnant habitat use by pollinators by ascertaining the proportion of, and/or isolation from, a given land use type or local variable. Synchronization between research fields is essential to better understand the spatial and temporal variability in pollinator dependent crop production. RST enable these applications to be scaled across much larger areas than is possible with field-based methods and will facilitate large scale ecological changes to be detected and monitored. We advocate greater use of RST to better understand interactions between pollination, plant health and yield spatial variation in pollinator dependent crops. This more holistic approach is necessary for decision-makers to improve strategies toward managing multiple land use types and ecosystem services.en
dc.languageenen
dc.publisherPeerJ, Ltden
dc.relation.ispartofPeerJen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleToward an integrated approach to crop production and pollination ecology through the application of remote sensingen
dc.typeJournal Articleen
dc.identifier.doi10.7717/peerj.5806en
dc.identifier.pmid30364410en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameBryony Ken
local.contributor.firstnameAndrew Jen
local.contributor.firstnameBrad Gen
local.contributor.firstnameRominaen
local.relation.isfundedbyARCen
local.subject.for2008050104 Landscape Ecologyen
local.subject.for2008070301 Agro-ecosystem Function and Predictionen
local.subject.for2008070101 Agricultural Land Managementen
local.subject.seo2008960804 Farmland, Arable Cropland and Permanent Cropland Flora, Fauna and Biodiversityen
local.subject.seo2008960805 Flora, Fauna and Biodiversity at Regional or Larger Scalesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailbwillco3@une.edu.auen
local.profile.emailarobson7@une.edu.auen
local.profile.emailrrader@une.edu.auen
local.output.categoryC1en
local.grant.numberDE170101349en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumbere5806en
local.format.startpage1en
local.format.endpage17en
local.identifier.scopusid85055682643en
local.peerreviewedYesen
local.identifier.volume6en
local.access.fulltextYesen
local.contributor.lastnameWillcoxen
local.contributor.lastnameRobsonen
local.contributor.lastnameHowletten
local.contributor.lastnameRaderen
dc.identifier.staffune-id:bwillco3en
dc.identifier.staffune-id:arobson7en
dc.identifier.staffune-id:rraderen
local.profile.orcid0000-0001-5762-8980en
local.profile.orcid0000-0001-9056-9118en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/29087en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleToward an integrated approach to crop production and pollination ecology through the application of remote sensingen
local.relation.fundingsourcenoteUniversity of New England; RnD4Profit-14-01-008; Ian Potter Foundation (grant number 20160225); Rural Industries Research and Development Corporation grant (RnD4Profit-15-02-035); Ministry of Business, Innovation and Employment (grant number C11X1309)en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/DE170101349en
local.search.authorWillcox, Bryony Ken
local.search.authorRobson, Andrew Jen
local.search.authorHowlett, Brad Gen
local.search.authorRader, Rominaen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/a7332354-0ef5-4148-b957-5acb44513370en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000447739700007en
local.year.published2018en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/a7332354-0ef5-4148-b957-5acb44513370en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/a7332354-0ef5-4148-b957-5acb44513370en
local.subject.for2020410206 Landscape ecologyen
local.subject.for2020300402 Agro-ecosystem function and predictionen
local.subject.for2020300202 Agricultural land managementen
local.subject.seo2020180606 Terrestrial biodiversityen
Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology
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