Landscape factors and how they influence whitefly pests in cassava fields across East Africa

Context African production landscapes are diverse, with multiple cassava cultivars grown in small patches amongst a diversity of other crops. Studies on how diverse smallholder landscapes impact herbivore pest outbreak risk have not been carried out in sub-Saharan Africa. Objectives Bemisia tabaci i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Landscape ecology 2021, Vol.36 (1), p.45-67
Hauptverfasser: Macfadyen, Sarina, Tay, Wee Tek, Hulthen, Andrew D., Paull, Cate, Kalyebi, Andrew, Jacomb, Frances, Parry, Hazel, Sseruwagi, Peter, Seguni, Zuberi, Omongo, Christopher Abu, Kachigamba, Donald, Otim, Michael, Schellhorn, Nancy, Polaszek, Andrew, Colvin, John, De Barro, Paul
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 67
container_issue 1
container_start_page 45
container_title Landscape ecology
container_volume 36
creator Macfadyen, Sarina
Tay, Wee Tek
Hulthen, Andrew D.
Paull, Cate
Kalyebi, Andrew
Jacomb, Frances
Parry, Hazel
Sseruwagi, Peter
Seguni, Zuberi
Omongo, Christopher Abu
Kachigamba, Donald
Otim, Michael
Schellhorn, Nancy
Polaszek, Andrew
Colvin, John
De Barro, Paul
description Context African production landscapes are diverse, with multiple cassava cultivars grown in small patches amongst a diversity of other crops. Studies on how diverse smallholder landscapes impact herbivore pest outbreak risk have not been carried out in sub-Saharan Africa. Objectives Bemisia tabaci is a cryptic pest species complex that cause damage to cassava through feeding and vectoring plant-virus diseases and are known to reach very high densities in certain contexts. However, the factors driving this phenomenon are unclear. Methods Bemisia density data in cassava across a large number of sites representing a geographic gradient across Uganda, Tanzania and Malawi were collected. We tested whether in-field or landscape factors associated with land-use patterns underpinned Bemisia density variability and parasitism. Results We found the B. tabaci SSA1 species dominated our study sites, although other species were also common in some cassava fields. Factors associated with the surrounding landscape were unimportant for explaining variability in adult density, but the in-field variables of cassava age and cultivar were very important. The density of nymphs and the parasitism of nymphs was heavily influenced by a diversity of landscape factors surrounding the field, including the size of focal cassava field, and area of cassava in the landscape. However, unlike the trend from many other studies on drivers of natural enemy populations, this pattern was not solely related to the amount of non-crop vegetation, or the diversity of crops grown in the landscape. Conclusions Our findings provide management options to reduce whitefly abundance, including describing the characteristics of landscapes with high parasitism. The choice of cassava cultivar by the farmer is critical to reduce whitefly outbreak risk at the landscape-scale.
doi_str_mv 10.1007/s10980-020-01099-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2478168371</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2478168371</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-2139fd4c984e38b606952178b480b1a87b22447ffe3465d5273d7234e8ea35b03</originalsourceid><addsrcrecordid>eNp9UE1LAzEQDaJgrf4BTwHP0cnHbpJjKfUDCl70JoRsNrFb1t012Sr996ZdwZuHYYaZ9948HkLXFG4pgLxLFLQCAixXHjWhJ2hGC8mIliU9RTPQjBKmJT9HFyltAYBzgBl6W9uuTs4OHgfrxj4mnBd403_jceP3uOlCu_Od8_h704w-tHs8-DSmfMDOpmS_LA6Nb-vMc7FPCa9sGvEixMbZS3QWbJv81W-fo9f71cvykayfH56WizVxvOQjYZTrUAunlfBcVSWUumBUqkooqKhVsmJMCBmC56Is6oJJXkvGhVfe8qICPkc3k-4Q-89dtme2_S52-aVhQipaKi5pRrEJdfQZfTBDbD5s3BsK5pCimVI0OUVzTNEcSHwipQzu3n38k_6H9QOC-HQS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478168371</pqid></control><display><type>article</type><title>Landscape factors and how they influence whitefly pests in cassava fields across East Africa</title><source>Springer Nature</source><creator>Macfadyen, Sarina ; Tay, Wee Tek ; Hulthen, Andrew D. ; Paull, Cate ; Kalyebi, Andrew ; Jacomb, Frances ; Parry, Hazel ; Sseruwagi, Peter ; Seguni, Zuberi ; Omongo, Christopher Abu ; Kachigamba, Donald ; Otim, Michael ; Schellhorn, Nancy ; Polaszek, Andrew ; Colvin, John ; De Barro, Paul</creator><creatorcontrib>Macfadyen, Sarina ; Tay, Wee Tek ; Hulthen, Andrew D. ; Paull, Cate ; Kalyebi, Andrew ; Jacomb, Frances ; Parry, Hazel ; Sseruwagi, Peter ; Seguni, Zuberi ; Omongo, Christopher Abu ; Kachigamba, Donald ; Otim, Michael ; Schellhorn, Nancy ; Polaszek, Andrew ; Colvin, John ; De Barro, Paul</creatorcontrib><description>Context African production landscapes are diverse, with multiple cassava cultivars grown in small patches amongst a diversity of other crops. Studies on how diverse smallholder landscapes impact herbivore pest outbreak risk have not been carried out in sub-Saharan Africa. Objectives Bemisia tabaci is a cryptic pest species complex that cause damage to cassava through feeding and vectoring plant-virus diseases and are known to reach very high densities in certain contexts. However, the factors driving this phenomenon are unclear. Methods Bemisia density data in cassava across a large number of sites representing a geographic gradient across Uganda, Tanzania and Malawi were collected. We tested whether in-field or landscape factors associated with land-use patterns underpinned Bemisia density variability and parasitism. Results We found the B. tabaci SSA1 species dominated our study sites, although other species were also common in some cassava fields. Factors associated with the surrounding landscape were unimportant for explaining variability in adult density, but the in-field variables of cassava age and cultivar were very important. The density of nymphs and the parasitism of nymphs was heavily influenced by a diversity of landscape factors surrounding the field, including the size of focal cassava field, and area of cassava in the landscape. However, unlike the trend from many other studies on drivers of natural enemy populations, this pattern was not solely related to the amount of non-crop vegetation, or the diversity of crops grown in the landscape. Conclusions Our findings provide management options to reduce whitefly abundance, including describing the characteristics of landscapes with high parasitism. The choice of cassava cultivar by the farmer is critical to reduce whitefly outbreak risk at the landscape-scale.</description><identifier>ISSN: 0921-2973</identifier><identifier>EISSN: 1572-9761</identifier><identifier>DOI: 10.1007/s10980-020-01099-1</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Bemisia ; Bemisia tabaci ; Biomedical and Life Sciences ; Cassava ; Crop diversification ; Crops ; Cultivars ; Density ; Ecology ; Environmental Management ; Land use ; Landscape ; Landscape Ecology ; Landscape/Regional and Urban Planning ; Life Sciences ; Nature Conservation ; Outbreaks ; Parasitism ; Pest outbreaks ; Pests ; Plant diseases ; Research Article ; Species ; Sustainable Development ; Variability</subject><ispartof>Landscape ecology, 2021, Vol.36 (1), p.45-67</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-2139fd4c984e38b606952178b480b1a87b22447ffe3465d5273d7234e8ea35b03</citedby><cites>FETCH-LOGICAL-c363t-2139fd4c984e38b606952178b480b1a87b22447ffe3465d5273d7234e8ea35b03</cites><orcidid>0000-0003-3553-4910</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10980-020-01099-1$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10980-020-01099-1$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Macfadyen, Sarina</creatorcontrib><creatorcontrib>Tay, Wee Tek</creatorcontrib><creatorcontrib>Hulthen, Andrew D.</creatorcontrib><creatorcontrib>Paull, Cate</creatorcontrib><creatorcontrib>Kalyebi, Andrew</creatorcontrib><creatorcontrib>Jacomb, Frances</creatorcontrib><creatorcontrib>Parry, Hazel</creatorcontrib><creatorcontrib>Sseruwagi, Peter</creatorcontrib><creatorcontrib>Seguni, Zuberi</creatorcontrib><creatorcontrib>Omongo, Christopher Abu</creatorcontrib><creatorcontrib>Kachigamba, Donald</creatorcontrib><creatorcontrib>Otim, Michael</creatorcontrib><creatorcontrib>Schellhorn, Nancy</creatorcontrib><creatorcontrib>Polaszek, Andrew</creatorcontrib><creatorcontrib>Colvin, John</creatorcontrib><creatorcontrib>De Barro, Paul</creatorcontrib><title>Landscape factors and how they influence whitefly pests in cassava fields across East Africa</title><title>Landscape ecology</title><addtitle>Landscape Ecol</addtitle><description>Context African production landscapes are diverse, with multiple cassava cultivars grown in small patches amongst a diversity of other crops. Studies on how diverse smallholder landscapes impact herbivore pest outbreak risk have not been carried out in sub-Saharan Africa. Objectives Bemisia tabaci is a cryptic pest species complex that cause damage to cassava through feeding and vectoring plant-virus diseases and are known to reach very high densities in certain contexts. However, the factors driving this phenomenon are unclear. Methods Bemisia density data in cassava across a large number of sites representing a geographic gradient across Uganda, Tanzania and Malawi were collected. We tested whether in-field or landscape factors associated with land-use patterns underpinned Bemisia density variability and parasitism. Results We found the B. tabaci SSA1 species dominated our study sites, although other species were also common in some cassava fields. Factors associated with the surrounding landscape were unimportant for explaining variability in adult density, but the in-field variables of cassava age and cultivar were very important. The density of nymphs and the parasitism of nymphs was heavily influenced by a diversity of landscape factors surrounding the field, including the size of focal cassava field, and area of cassava in the landscape. However, unlike the trend from many other studies on drivers of natural enemy populations, this pattern was not solely related to the amount of non-crop vegetation, or the diversity of crops grown in the landscape. Conclusions Our findings provide management options to reduce whitefly abundance, including describing the characteristics of landscapes with high parasitism. The choice of cassava cultivar by the farmer is critical to reduce whitefly outbreak risk at the landscape-scale.</description><subject>Bemisia</subject><subject>Bemisia tabaci</subject><subject>Biomedical and Life Sciences</subject><subject>Cassava</subject><subject>Crop diversification</subject><subject>Crops</subject><subject>Cultivars</subject><subject>Density</subject><subject>Ecology</subject><subject>Environmental Management</subject><subject>Land use</subject><subject>Landscape</subject><subject>Landscape Ecology</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Life Sciences</subject><subject>Nature Conservation</subject><subject>Outbreaks</subject><subject>Parasitism</subject><subject>Pest outbreaks</subject><subject>Pests</subject><subject>Plant diseases</subject><subject>Research Article</subject><subject>Species</subject><subject>Sustainable Development</subject><subject>Variability</subject><issn>0921-2973</issn><issn>1572-9761</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9UE1LAzEQDaJgrf4BTwHP0cnHbpJjKfUDCl70JoRsNrFb1t012Sr996ZdwZuHYYaZ9948HkLXFG4pgLxLFLQCAixXHjWhJ2hGC8mIliU9RTPQjBKmJT9HFyltAYBzgBl6W9uuTs4OHgfrxj4mnBd403_jceP3uOlCu_Od8_h704w-tHs8-DSmfMDOpmS_LA6Nb-vMc7FPCa9sGvEixMbZS3QWbJv81W-fo9f71cvykayfH56WizVxvOQjYZTrUAunlfBcVSWUumBUqkooqKhVsmJMCBmC56Is6oJJXkvGhVfe8qICPkc3k-4Q-89dtme2_S52-aVhQipaKi5pRrEJdfQZfTBDbD5s3BsK5pCimVI0OUVzTNEcSHwipQzu3n38k_6H9QOC-HQS</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Macfadyen, Sarina</creator><creator>Tay, Wee Tek</creator><creator>Hulthen, Andrew D.</creator><creator>Paull, Cate</creator><creator>Kalyebi, Andrew</creator><creator>Jacomb, Frances</creator><creator>Parry, Hazel</creator><creator>Sseruwagi, Peter</creator><creator>Seguni, Zuberi</creator><creator>Omongo, Christopher Abu</creator><creator>Kachigamba, Donald</creator><creator>Otim, Michael</creator><creator>Schellhorn, Nancy</creator><creator>Polaszek, Andrew</creator><creator>Colvin, John</creator><creator>De Barro, Paul</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-3553-4910</orcidid></search><sort><creationdate>2021</creationdate><title>Landscape factors and how they influence whitefly pests in cassava fields across East Africa</title><author>Macfadyen, Sarina ; Tay, Wee Tek ; Hulthen, Andrew D. ; Paull, Cate ; Kalyebi, Andrew ; Jacomb, Frances ; Parry, Hazel ; Sseruwagi, Peter ; Seguni, Zuberi ; Omongo, Christopher Abu ; Kachigamba, Donald ; Otim, Michael ; Schellhorn, Nancy ; Polaszek, Andrew ; Colvin, John ; De Barro, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-2139fd4c984e38b606952178b480b1a87b22447ffe3465d5273d7234e8ea35b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bemisia</topic><topic>Bemisia tabaci</topic><topic>Biomedical and Life Sciences</topic><topic>Cassava</topic><topic>Crop diversification</topic><topic>Crops</topic><topic>Cultivars</topic><topic>Density</topic><topic>Ecology</topic><topic>Environmental Management</topic><topic>Land use</topic><topic>Landscape</topic><topic>Landscape Ecology</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Life Sciences</topic><topic>Nature Conservation</topic><topic>Outbreaks</topic><topic>Parasitism</topic><topic>Pest outbreaks</topic><topic>Pests</topic><topic>Plant diseases</topic><topic>Research Article</topic><topic>Species</topic><topic>Sustainable Development</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Macfadyen, Sarina</creatorcontrib><creatorcontrib>Tay, Wee Tek</creatorcontrib><creatorcontrib>Hulthen, Andrew D.</creatorcontrib><creatorcontrib>Paull, Cate</creatorcontrib><creatorcontrib>Kalyebi, Andrew</creatorcontrib><creatorcontrib>Jacomb, Frances</creatorcontrib><creatorcontrib>Parry, Hazel</creatorcontrib><creatorcontrib>Sseruwagi, Peter</creatorcontrib><creatorcontrib>Seguni, Zuberi</creatorcontrib><creatorcontrib>Omongo, Christopher Abu</creatorcontrib><creatorcontrib>Kachigamba, Donald</creatorcontrib><creatorcontrib>Otim, Michael</creatorcontrib><creatorcontrib>Schellhorn, Nancy</creatorcontrib><creatorcontrib>Polaszek, Andrew</creatorcontrib><creatorcontrib>Colvin, John</creatorcontrib><creatorcontrib>De Barro, Paul</creatorcontrib><collection>SpringerOpen</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Landscape ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Macfadyen, Sarina</au><au>Tay, Wee Tek</au><au>Hulthen, Andrew D.</au><au>Paull, Cate</au><au>Kalyebi, Andrew</au><au>Jacomb, Frances</au><au>Parry, Hazel</au><au>Sseruwagi, Peter</au><au>Seguni, Zuberi</au><au>Omongo, Christopher Abu</au><au>Kachigamba, Donald</au><au>Otim, Michael</au><au>Schellhorn, Nancy</au><au>Polaszek, Andrew</au><au>Colvin, John</au><au>De Barro, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Landscape factors and how they influence whitefly pests in cassava fields across East Africa</atitle><jtitle>Landscape ecology</jtitle><stitle>Landscape Ecol</stitle><date>2021</date><risdate>2021</risdate><volume>36</volume><issue>1</issue><spage>45</spage><epage>67</epage><pages>45-67</pages><issn>0921-2973</issn><eissn>1572-9761</eissn><abstract>Context African production landscapes are diverse, with multiple cassava cultivars grown in small patches amongst a diversity of other crops. Studies on how diverse smallholder landscapes impact herbivore pest outbreak risk have not been carried out in sub-Saharan Africa. Objectives Bemisia tabaci is a cryptic pest species complex that cause damage to cassava through feeding and vectoring plant-virus diseases and are known to reach very high densities in certain contexts. However, the factors driving this phenomenon are unclear. Methods Bemisia density data in cassava across a large number of sites representing a geographic gradient across Uganda, Tanzania and Malawi were collected. We tested whether in-field or landscape factors associated with land-use patterns underpinned Bemisia density variability and parasitism. Results We found the B. tabaci SSA1 species dominated our study sites, although other species were also common in some cassava fields. Factors associated with the surrounding landscape were unimportant for explaining variability in adult density, but the in-field variables of cassava age and cultivar were very important. The density of nymphs and the parasitism of nymphs was heavily influenced by a diversity of landscape factors surrounding the field, including the size of focal cassava field, and area of cassava in the landscape. However, unlike the trend from many other studies on drivers of natural enemy populations, this pattern was not solely related to the amount of non-crop vegetation, or the diversity of crops grown in the landscape. Conclusions Our findings provide management options to reduce whitefly abundance, including describing the characteristics of landscapes with high parasitism. The choice of cassava cultivar by the farmer is critical to reduce whitefly outbreak risk at the landscape-scale.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10980-020-01099-1</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0003-3553-4910</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0921-2973
ispartof Landscape ecology, 2021, Vol.36 (1), p.45-67
issn 0921-2973
1572-9761
language eng
recordid cdi_proquest_journals_2478168371
source Springer Nature
subjects Bemisia
Bemisia tabaci
Biomedical and Life Sciences
Cassava
Crop diversification
Crops
Cultivars
Density
Ecology
Environmental Management
Land use
Landscape
Landscape Ecology
Landscape/Regional and Urban Planning
Life Sciences
Nature Conservation
Outbreaks
Parasitism
Pest outbreaks
Pests
Plant diseases
Research Article
Species
Sustainable Development
Variability
title Landscape factors and how they influence whitefly pests in cassava fields across East Africa
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T15%3A59%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Landscape%20factors%20and%20how%20they%20influence%20whitefly%20pests%20in%20cassava%20fields%20across%20East%20Africa&rft.jtitle=Landscape%20ecology&rft.au=Macfadyen,%20Sarina&rft.date=2021&rft.volume=36&rft.issue=1&rft.spage=45&rft.epage=67&rft.pages=45-67&rft.issn=0921-2973&rft.eissn=1572-9761&rft_id=info:doi/10.1007/s10980-020-01099-1&rft_dat=%3Cproquest_cross%3E2478168371%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2478168371&rft_id=info:pmid/&rfr_iscdi=true